Monday, December 3, 2018

Reverse the Biz Model! -- Undo the Faustian Bargain for Ads and Data

It is time to reverse the fundamental premise. Many now see that the long-popular model of free digital content (or other services) -- in exchange for advertising and personal data -- has become a Faustian bargain with the devil. It is bad for both users and their service providers. We are losing our souls to empty but addictive engagement -- and to destructive disinformation. Journalism is failing, music is reeling, video is struggling to find viable subscription models, and Facebook is poisoning our democracy.

The public barely took note when newspapers could no longer live off the fat of classified ads. Then "digital pennies" replaced "analog dollars" more widely, and, still, few cared. But now the devil has come for all of us. The increasing price of this deal with the devil has reached crisis levels. The recent PBS Frontline documentary, The Facebook Dilemma, reports in depth on how Facebook sold its soul and still seems to only barely realize it. Or, as the NY Times reports, maybe they do. Why should they care, when they are making billions?

The press and government may investigate, but what can anyone do? Governance, regulation, or breakup do not get to the root of the problem. What we have here is a business model problem. What we need is a business model solution. That is not as hard as it seems. 
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
This problem goes far beyond Facebook. Most ad-supported business models suffer from mis-aligned incentives. This post was first written with emphasis on Facebook and other social media, but has been lightly edited [4/16/19] to make it more clear that it applies broadly. 
The next two sections focus on social media, but the rest is applicable to making any ad-supported service more win-win for customers, advertisers, and publishers/platforms.
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
Getting to the heart of the problem ... and some alternative paths to a solution

In "A Blueprint For A Better Digital Society" (in HBR), Jaron Lanier and E. Glen Weyl provide a thorough analysis of why these ad-supported services have proven so harmful -- and offer their blueprint for a much better model.

Here, I draw on that as background, to outline a simpler and more immediate path -- one that enables individual businesses act on their own to credit consumers for the value of their data. Starting there would shift incentives to better-enable the wider market in data that they propose.

Lanier and Weyl provide an excellent primer on the problem:
...the dominant model of targeted advertising derived from data surveillance and used to fund free-to-the-public services like social media and search is increasingly viewed as unsustainable and undesirable.
Today, internet giants finance contact between people by charging third parties who wish to influence those who are connecting. The result is an internet — and, indeed, a society — built on injected manipulation instead of consensual discourse. A system optimized for influencing unwitting people has flooded the digital world with perverse incentives that lead to violations of privacy, manipulated elections, personal anxiety, and social strife. 
They set the stage for a proposed solution (emphasis added to points I will address) :
As we wait helplessly for more elections to be compromised, for more nasty social divisions to be enflamed, for more invasive data surveillance, and for more workers to become insecure, the widespread assumption that no other models are possible leads to a state of despair.
But there is an alternative: an emerging class of business models in which internet users are also the customers and the sellers. Data creators directly trade on the value of their data in an information-centric future economy. Direct buying and selling of information-based value between primary parties could replace the selling of surveillance and persuasion to third parties. Platforms would not shrivel in this economy; rather, they would thrive and grow dramatically, although their profit margins would likely fall as more value was returned to data creators. Most important, a market for data would restore dignity to data creators, who would become central to a dignified information economy.
These models have been discussed widely for years. Here, we describe a future based on them by exploring the business and societal structures that will be required to bring them to life. In the process, we will advocate for a more coherent marketplace. Without one, no corrective measure stands a chance.
...A coherent marketplace is a true market economy coupled with a diverse, open society online. People will be paid for their data and will pay for services that require data from others. Individuals’ attention will be guided by their self-defined interests rather than by manipulative platforms beholden to advertisers or other third parties. Platforms will receive higher-quality data with which to train their machine learning systems and thus will be able to earn greater revenue selling higher-quality services to businesses and individuals to boost their productivity. The quality of services will be judged and valued by users in a marketplace instead of by third parties who wish to influence users. An open market will become more aligned with an open society when the customer and the user are the same person.
They refer to this kind of "market economy for information" as providing "data dignity" and note some important challenges:
The foremost challenge in implementing data dignity is the yawning gap between big tech platforms and the individuals they harvest data from. If we asked big tech alone to make the change, it would fail: Too many conflicts of interest exist, and the inevitable concentration of power these platforms create is inimical to competitive markets and an open society.
For data dignity to work, we need an additional layer of organizations of intermediate size to bridge the gap. We call these organizations “mediators of individual data,” or MIDs. A MID is a group of volunteers with its own rules that represents its members in a wide range of ways. It will negotiate data royalties or wages, to bring the power of collective bargaining to the people who are the sources of valuable data. It will also promote standards and build a brand based on the unique quality and identity of the data producers they represent. MIDs will often perform routine accounting, legal, and payment duties but might also engage in training and coaching. They will help focus the scarce attention of their members in the interest of those members rather than for an ulterior motive, such as targeted advertising. 
Boiling the ocean of two-sided markets -- Faust wins the world (for a time)

This vision of MIDs is a worthy one, and one I hope will succeed. But I suggest a path that traverses its way up this hill in a more indirect path might be more feasible.  That still faces challenges, but they may be far more easily overcome.

Lanier and Weyl point out that MIDs are not a new concept, referring to pre-Internet examples. But I find a more concerning case in point to be the still-thought-provoking proposal for "infomediaries" in the 1999 book, Net Worth, by John Hagel and Marc Singer of McKinsey. That drew attention when published, but got little traction in practice. That history seems largely forgotten by those now proposing similar ideas. Their infomediaries seem to be much the same as Lanier and Weyl's MIDs.

I have been wondering for years why this vision did not come to be. I have seen no clear answer, other than that no one found a path to achieve the critical mass needed to establish such a multi-sided market for consumer data. MIDs face the same problem of critical mass.

Instead, the path taken was that the ad model proved wildly successful for Facebook and Google. That gave them the critical mass of users, and huge financial clout. That now makes it even more challenging to introduce infomediaries or MIDs -- whether by convincing the dominant platforms to enable that, or by competing with them.

The "reverse meter" as the essence of a market economy for information

FairPay suggests an alternative path toward a market economy for information -- one that may not go as far as infomediaries or MIDs, but which can be pursued unilaterally by individual businesses, in direct cooperation with their customers. That could set the stage for more customer-driven solutions -- for any ad-supported business.

Infomediaries and MIDs are, in essence, a way to create a "meter" for the value of data and attention:
  • Data and attention go from the consumer to the businesses that want to use it, and in exchange, funds go back to the consumer. That reverses the normal "metering" of service to the consumer, in exchange for funds to the business.
  • But we don't need infomediaries or MIDs to do that. A more basic kind of reverse meter can be applied by any paid Web service business to compensate users for their data and attention. That reverse meter offers direct benefit to those businesses and their customers.
The basic idea of the reverse meter is much like reverse metering of co-generated power when it is fed back to a power company's grid -- instead of paying the power company, the consumer gets paid. (Jeff Jarvis of CUNY School of Journalism suggested using reverse metering for online newspapers in 2011, when "metered paywalls" were a new thing.)

The first businesses to offer such reverse metering have not been in social media or search, but as the model is proven effective, it can motivate similar changes in those business sectors. The easiest place to start is in businesses that already charge users -- data/attention credits can simply offset fees for service, so no funds need be paid out directly. Thus services for news, music, video or social media that now charge users -- as alternative to showing them ads -- can offset those charges using a reverse meter that meters the value of attention they provide. (Some already do, as noted below.)

The beauty of the reverse meter, much as Lanier and Weyl explain, is to make for an exchange that benefits all parties of that exchange. The consumers gets credit for their attention and data (as quantified by the meter). The advertiser or data user gets value that they are willing to pay for. The service provider profits from operating this marketplace. This has great power because it aligns the incentives of all three parties:
  • Now the deal is obscured, arbitrary, and one-sided -- "We give you free service and you surrender whatever amount of your attention and data that we extract. We hope you will just accept that."
  • With a meter, the deal is quantified -- "For X units of attention or data we give you $Y of credit against the fee for our service. The meter will quantify that."
Reverse metering can be simple, done by any business

There are already many basic examples of reverse metering:
  • A number of services (such as Hulu, Spotify, USA Today) already offer a simple alternative to advertiser-supported "free" service:  instead, opt for ad-free service with a paid subscription. That puts a specific value on advertising, and gives consumers a basic level of choice over whether to accept that value proposition.
  • Some ad-blockers offer similar options to control ads, and some publishers are participating.
  • One clever new service, Paytime, offers a kind of reverse metering that entirely decouples the advertising from the primary service (a bit like a very simplified infomediary or MID). Consumers with more time than money can watch video ads to get credit, to use to subscribe to Netflix, Spotify, or other services. Instead of interrupting the primary service experience, the consumer can watch the ads whenever they wish, and has some choice as to which ads they watch. Equivalent functionality could also be integrated directly into an individual service business.
[Update 12/20/18: The IAB (Interactive Advertising Bureau) has recognized forms of this as "Opt-in Value Exchange advertising...an honest transaction that provides value to the Advertiser, Publisher (developer), and the Consumer," and provides detailed guidance on why this is important. Here I suggest a broader context.]

Win-win-win for consumer, provider, and advertiser

Think about how even a simple reverse meter changes advertising. Now:
  • Consumers are annoyed by intrusive and annoying ads and abuse of their personal data. 
  • Advertisers are frustrated that they cannot get their message through, even at high cost.
  • Publishers/service providers are caught in the middle, as ad rates fall, customers get angry and install ad blockers, and their business suffers on many fronts. 
With a reverse meter, consumers are compensated for their attention and their data. Just having such a meter quantifies the value of data and attention, and implies a price for that value. So once it is metered, consumers will see that, and can judge if the price is right. If the price seems fair, they will accept the ads, if not, they will pay to avoid them. (FairPay provides advanced methods for setting this price for value from the consumer, as well as the price of metered value to the consumer, but even simple methods change the game.)

Once we begin to think in terms of metering the value of attention and data, we are able to get far more efficient in maximizing that value, even within a single service business:
  • For consumers, what is the value (or cost) of the ad to the user?  Is the message relevant, timely, interesting, entertaining, useful? Or is it a just annoying. Is the delivery of that message intrusive? Can I enhance that by having some say in what messages I get, and when I get them?
  • For  advertisers, what is the value of a more balanced relationship with the consumer? Am I getting my message to a good prospect, in a way that builds my brand? Can I build a relationship with the consumer, so that they help me craft just the right message? Can I get a direct response to my ad (including simple feedback, even if there is no purchase). Or am I turning off the people I want to reach, and wasting money on the wrong ones? 
  • For  publisher/service providers, how can I maximize that shared value so that I can earn a share for myself, and make my service more popular (to get more value share from more consumers)? Do my customers feel that the ads add value or subtract it? 
Remember that advertising can be valuable when relevant and useful, or entertaining. Don't you get value from ads for products you want, or may want -- or those that make you feel good? There are many examples of valuable ads: just look at magazines for fashion, style, travel, sports, lifestyle, or hobbies. Some buy them mainly for the ads. Why do people like to watch and talk about Super Bowl ads? (some watch just for the ads). With simple reverse metering, service providers can provide a basic marketplace where their customers can interact with their advertisers to maximize value all around.

Economics and business models are all about aligning incentives. Metering data and attention enables everyone to manage incentives so they can all maximize value. That is the sustainable path to long term profit. Quietly addicting users to engagement, by spreading disinformation and sensationalized content, provides no real value -- it destroys it. Sooner or later, that model will self-destruct.

Customizing services and prices to serve all

If we can bring this kind of flexibility and economic efficiency to the reverse meter, why not the primary meter? To fully align incentives, we must customize the value proposition to optimize all forms of value for each party. Why should all consumers pay the same? Why should we all get the same level of advertising? Why should we have few choices about how our data is used, and get no compensation, whatever the level of data usage?

This is the age of "mass customization" and "one to one marketing," but we are not being creative about that. Zuckerberg admits the problem applies to Facebook, but sees no solution. He described his dilemma to the Times:
…having [Facebook] be free and have a business model that is ad-supported ends up being really important and aligned…Now, over time, might there be ways for people who can afford it to pay a different way? That’s certainly something we’ve thought about …But I don’t think the ad model is going to go away, because I think fundamentally, it’s important to have a service like this that everyone in the world can use, and the only way to do that is to have it be very cheap or free.
But the with the reverse meter, an array of variable options can be provided. A full ad load for free access, a full price for ad-free service, and a range of options in between. 

FairPay expands on this idea of tracking value and giving consumers more choice about the value propositions they are offered. It provides an architecture for metering and setting a price on value in the individual context of each customer. An example that explores use of the reverse meter is Patron-izing Journalism -- Beyond Paywalls, Meters, and Membership

Self-regulation, government mandate, or new market structures?

The big question is how we get from where we are to "a coherent marketplace" for data and attention:
  • Introducing infomediaries/MIDs has the problem of critical mass that is inherent in any two-sided marketplace.
  • Simple, company-specific reverse meters do not require a critical mass, only enough scale to justify building the reverse metering system. Very simple forms are already finding success in practice (as noted above). FairPay will take somewhat more effort to develop, but still can be within reach for many businesses (especially if supported by SaaS providers). That can begin to establish a more level market for data and attention. If the marketplace is level for all participants, including consumers, "data dignity" will be a natural by-product.
  • Facebook (and similar consumer platforms) could voluntarily begin to experiment with reverse metering now, starting with narrow trials, then learning, and expanding. Premium services could be offered to introduce the idea of consumer fees (offset by the reverse meter). As consumer revenue increased there would be less need for ad revenue. They could start simply, ins specific segments, and then expand and add the richer functions of FairPay. Change at the scale of Facebook might have to be gradual, but it is in their interest to start somewhere. This is explored further in Who Should Pay the Piper for Facebook? (& the rest).
  • If Facebook or other consumer platforms fail to act voluntarily, a simple regulatory strategy could force that -- in a market-driven way. Instead of mandating how to fix their business model, the government could simply mandate that X% of their revenue must come from their users -- with a timetable for gradually increasing X.  This is much like how auto emissions mandates work -- don't mandate how to fix things, just mandate the result, and let the business figure out how best to achieve that. Since reverse metered ads would count as a form of reader revenue, that would provide an immediate incentive for Facebook to provide such compensation. This strategy is outlined in Privacy AND Innovation ...NOT Oligopoly -- A Market Solution to a Market Problem.)
  • All of the above partial steps would create a market for data that infomediaries/MIDs could compete in. By introducing reverse metering for the value of attention to ads and release of personal data, we would begin to establish a market value for it. Once that value is established, then we have a clear motivation to look to infomediaries or MIDs -- if they can exchange that value more efficiently. 
  • If we already have SaaS services that operate reverse meters for multiple consumer service businesses, such SaaS services could, themselves, expand to add infomediary/MIDs functionality. That provides a natural path for evolving into a multi-sided marketplace for all of the consumers and businesses (service providers and advertisers) that they serve.
FairPay is agnostic as to whether that market is directly between businesses and consumers, or includes MIDs.  But FairPay explicitly puts the value of attention and data into the overall value proposition.  Consumers will be able judge to what degree a business compensates fairly for their attention and data, and decide whether they are satisfied with that.  If so, fine -- they can work with them directly.  If not, then they will be motivated to use an infomediary or MID.  In that way a “coherent market” (or at least a more level one) can come first, and so provide fertile ground for the emergence of MIDs.

Of course there may be many paths to this goal, but this one seems to go where we want, in manageable steps. It promises to change the nature of business relationships in a way that enables a more human form of market capitalism. And, at the same time, it can lead to increased profit in the long term -- by being more economically efficient in serving a very wide range of customers with individually customized value propositions.*


--- 
*On that final point I think Lanier and Weyl may understate the business profit value of their proposal. They say (emphasis added):
Platforms would not shrivel in this economy; rather, they would thrive and grow dramatically, although their profit margins would likely fall as more value was returned to data creators.
I submit that the economic value of advertising can be increased significantly by being better targeted and better received, and using more productive and appealing formats -- all driven by aligned market incentives. That might well increase platform profit margins, since advertisers will be justified in spending more than they do now. And as Lanier and Weyl hint at, but do not emphasize, even at lower unit margins, more customers can mean higher total profit margin.

---
More on this theme from Lanier and Weyl

Those authors have collaborated with others in other important works that explore the transformative potential of the economics of reverse metering.
---
[Update 1/27/20:]
Surveillance Capitalism by Shoshan Zuboff:  For an eye-opening wake-up call on the harm of our current business models (even for those who are tuned in), see Shoshana Zuboff's NY Times op-ed summarizing her views on "Surveillance Capitalism."  But the holy grail question is “who does it serve?” Not us, as Zuboff makes so clear -- but instead of killing the growing golden goose of data (as she seems to suggest), we should require that the business model be reversed so that golden goose serves us! -- as I suggest here.

------------------------
More about platform regulatory issues is on my other blog.

More about FairPay:

A concise introduction is in Techonomy"Information Wants to be Free; Consumers May Want to Pay"

For a full introduction see the Overview and the sidebar "How FairPay Works" (just to the right, if reading this at FairPayZone.com). There is also Selected items (including links to videos and decks). 

The Journal of Revenue and Pricing Management, "A Novel Architecture to Monetize Digital Offerings" provides a scholarly but readable overview. 

Or, read my highly praised book: FairPay: Adaptively Win-Win Customer Relationships.

(FairPay is an open architecture, in the public domain. My work on FairPay is pro-bono. I offer free consultation to those interested in applying FairPay, and welcome questions.)


380 comments:

  1. Successful planning offers many rewards in addition to helping you Make Your Money Count and achieving what matters most to you. car financing | bank alfalah car loan calculator

    ReplyDelete


  2. I finally found great post here.I will get back here. I just added your blog to my bookmark sites. thanks.Quality posts is the crucial to invite the visitors to visit the web page, that's what this web page is providing.
    ExcelR Data Science course Mumbai
    ExcelR data analytics courses in Mumbai
    data science interview questions
    ExcelR Business Analytics courses in Mumbai

    ReplyDelete
  3. This is a wonderful article, Given so much info in it, Thanks for sharing. CodeGnan offers courses in new technologies and makes sure students understand the flow of work from each and every perspective in a Real-Time environmen python training in vijayawada. , data scince training in vijayawada . , java training in vijayawada. ,

    ReplyDelete
  4. Impressive! Nice article on data science . It's really a nice experience to read your post. Thanks for sharing your innovative ideas to our vision.
    Data Science Course
    Data Science Course in Marathahalli
    Data Science Course Training in Bangalore

    ReplyDelete
  5. wonderful article. Very interesting to read this article.I would like to thank you for the efforts you had made for writing this awesome article. This article resolved my all queries.
    Data science Interview Questions
    Data Science Course

    ReplyDelete
  6. keep up the good work. this is an Ossam post. This is to helpful, i have read here all post. i am impressed. thank you. this is our courses of pmp certifications
    pmp certifications | https://www.excelr.com/pmp-training-in-mumbai

    ReplyDelete
  7. What a great article!. I am bookmarking it to read it over again after work. It seems like a very interesting topic to write about.
    Best Data Science training in Mumbai

    Data Science training in Mumbai

    ReplyDelete
  8. wonderful article. Very interesting to read this article.I would like to thank you for the efforts you had made for writing this awesome article. This article resolved my all queries. keep it up.
    data analytics course in Bangalore

    ReplyDelete
  9. I normally wouldn't be so engaged by any articles pertaining to this subject, but yours grabbed my attention. It was like a great dessert crying out to me to eat it. This is good content.
    SAP training in Kolkata
    Best SAP training in Kolkata
    SAP training institute in Kolkata

    ReplyDelete
  10. Thank you for your attention to detail and great writing style. Your professionalism shows in your article. I like your interesting views and appreciate your unique ideas. This is quality.
    SAP training in Mumbai
    Best SAP training in Mumbai
    SAP training institute Mumbai

    ReplyDelete
  11. It's very nice to find out other writers share like minds on some content. This is the case with your article. I really enjoyed this.
    SAP training in Mumbai
    Best SAP training in Mumbai
    SAP training institute Mumbai

    ReplyDelete
  12. This is truly unique and excellent information. I sense you think a lot like me, or vice versa. Thank you for sharing this great article.
    SAP training in Kolkata
    Best SAP training in Kolkata
    SAP training institute in Kolkata

    ReplyDelete
  13. I like how this article is written. Your points are sound, original, fresh and interesting. This information has been made so clear there's no way to misunderstand it. Thank you.


    SEO services in kolkata
    Best SEO services in kolkata
    SEO company in kolkata
    Best SEO company in kolkata
    Top SEO company in kolkata
    Top SEO services in kolkata
    SEO services in India
    SEO copmany in India

    ReplyDelete
  14. I just got to this amazing site not long ago. I was actually captured with the piece of resources you have got here. Big thumbs up for making such wonderful blog page!

    Correlation vs Covariance

    ReplyDelete
  15. Very interesting to read this article.I would like to thank you for the efforts you had made for writing this awesome article. This article inspired me to read more. keep it up.
    Correlation vs Covariance

    ReplyDelete
  16. Thanks for an interesting blog. What else may I get that sort of info written in such a perfect approach? I have an undertaking that I am just now operating on, and I have been on the lookout for such info.
    SAP training in Kolkata
    SAP training Kolkata
    Best SAP training in Kolkata
    SAP course in Kolkata
    SAP training institute Kolkata

    ReplyDelete
  17. Your work is very good and I appreciate you and hopping for some more informative posts
    Data Science Institute in Bangalore

    ReplyDelete
  18. This is such a great resource that you are providing and you give it away for free.
    Data Science Course in Bangalore

    ReplyDelete
  19. Omg definitely, it is truly cutting-edge I read it multiple times and still can't get it plainly 100%, that is the reason it's progressed :)

    SEO services in kolkata
    Best SEO services in kolkata
    SEO company in kolkata

    ReplyDelete
  20. Very interesting blog. Many blogs I see these days do not really provide anything that attracts others, but believe me the way you interact is literally awesome.You can also check my articles as well.

    Data Science In Banglore With Placements
    Data Science Course In Bangalore
    Data Science Training In Bangalore
    Best Data Science Courses In Bangalore
    Data Science Institute In Bangalore

    Thank you..

    ReplyDelete
  21. Took me time to understand all of the comments, but I seriously enjoyed the write-up. It proved being really helpful to me and Im positive to all of the commenters right here! Its constantly nice when you can not only be informed, but also entertained! I am certain you had enjoyable writing this write-up.

    Data Science Course

    ReplyDelete
  22. Very interesting to read this article.I would like to thank you for the efforts you had made for writing this awesome article. This article inspired me to read more. keep it up.
    Correlation vs Covariance
    Simple linear regression

    ReplyDelete
  23. It is perfect time to make some plans for the future and it is time to be happy. I've read this post and if I could I desire to suggest you some interesting things or suggestions. Perhaps you could write next articles referring to this article. I want to read more things about it!

    Data Science Training

    ReplyDelete
  24. Such a very useful article. Very interesting to read this article. I would like to thank you for the efforts you had made for writing this awesome article.
    Data Science Course in Pune
    Data Science Training in Pune

    ReplyDelete
  25. I feel really happy to have seen your webpage and look forward to so many more entertaining times reading here. Thanks once more for all the details.
    Data Science Course in Bangalore

    ReplyDelete
  26. Truly, this article is really one of the very best in the history of articles. I am a antique ’Article’ collector and I sometimes read some new articles if I find them interesting. And I found this one pretty fascinating and it should go into my collection. Very good work!
    Data Science Training in Bangalore

    ReplyDelete
  27. I feel very grateful that I read this. It is very helpful and very informative and I really learned a lot from it.
    Data Analytics Course in Pune
    Data Analytics Training in Pune

    ReplyDelete
  28. I am impressed by the information that you have on this blog. It shows how well you understand this subject.
    Business Analytics Course in Pune
    Business Analytics Training in Pune

    ReplyDelete
  29. And a bit of a curiosity like a child but not childish. This made me write some similar content but on a completely different subject which has some relationship to the subject of this article. Here is the link. If you like, go see it at artificial intelligence training in hyderabad

    ReplyDelete
  30. This is my first visit to your blog! We are a team of volunteers and new
    initiatives in the same niche. Blog gave us useful information to work. You
    have done an amazing job!

    artificial intelligence training in Bangalore

    ReplyDelete
  31. I think I have never seen such blogs ever before that has complete things with all details which I want. So kindly update this ever for us.

    Data Science Course

    ReplyDelete
  32. Well we really like to visit this site, many useful information we can get here.

    Data Science Training

    ReplyDelete
  33. This Was An Amazing ! I Haven't Seen This Type of Blog Ever ! Thankyou For Sharing, data science course

    ReplyDelete
  34. The web site is lovingly serviced and saved as much as date. So it should be, thanks for sharing this with us.data science certification

    ReplyDelete
  35. Very interesting to read this article.I would like to thank you for the efforts you had made for writing this awesome article. This article inspired me to read more. keep it up.
    Correlation vs Covariance
    Simple linear regression
    data science interview questions

    ReplyDelete
  36. I’m excited to uncover this page. I need to to thank you for ones time for this particularly fantastic read!! I definitely really liked every part of it and i also have you saved to fav to look at new information in your site.Learn Best Data Science Training in Hyderabad

    ReplyDelete
  37. I have recently started read this blog, the info you provide on this post has helped me a lot. Thanks for all of your time & work.Learn best Data Science Course in Hyderabad

    ReplyDelete
  38. This is a wonderful article, Given so much info in it, These type of articles keeps the users interest in the website, and keep on sharing more ... good luck.

    data science interview questions

    ReplyDelete
  39. I am really enjoying reading your well written articles. It looks like you spend a lot of effort and time on your blog. I have bookmarked it and I am looking forward to reading new articles. Keep up the good work.
    data science course
    business analytics course
    data analytics course

    ReplyDelete
  40. This Was An Amazing ! I Haven't Seen This Type of Blog Ever ! Thankyou For Sharing, data sciecne course in hyderabad

    ReplyDelete
  41. Really nice and interesting post. I was looking for this kind of information and enjoyed reading this one. Keep posting. Thanks for sharing.
    pmp certification course training in guduvanchery

    ReplyDelete
  42. I feel very grateful that I read this. It is very helpful and very informative and I really learned a lot from it.
    Data Science Course in Hyderabad

    ReplyDelete
  43. Attend online training from one of the best training institute Data Science

    Course in Hyderabad

    ReplyDelete
  44. Really nice and interesting post. I was looking for this kind of information and enjoyed reading this one. Keep posting. Thanks for sharing.
    Data Science Training in Hyderabad

    ReplyDelete
  45. Interesting post. I Have Been wondering about this issue, so thanks for posting. Pretty cool post.It's really very nice and Useful post.Thanks..

    Data Science Courses

    ReplyDelete
  46. The web site is lovingly serviced and saved as much as date. So it should be, thanks for sharing this with us.

    Data Science Certification

    ReplyDelete
  47. Attend The Data Science Courses Bangalore From ExcelR. Practical Data Science Courses Bangalore Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Science Courses Bangalore.
    Data Science Courses Bangalore

    ReplyDelete
  48. Very impressive and interesting blog found to be well written in a simple manner that everyone will understand and gain the enough knowledge from your blog being more informative is an added advantage for the users who are going through it. Once again nice blog keep it up.

    360DigiTMG Machine Learning Course

    ReplyDelete
  49. Great blog found to be well written in a simple manner that everyone will understand and gain the enough knowledge from your blog being more informative is an added advantage for the users who are going through it. Once again nice blog keep it up.

    360DigiTMG PMP Certification Course

    ReplyDelete
  50. Great Article with unique and excellent information,really enjoying reading thank you.
    Data Science Course in Hyderabad

    ReplyDelete
  51. I have to search sites with relevant information on given topic and provide them to teacher our opinion and the article.

    data science interview questions

    ReplyDelete
  52. Really nice and interesting post. I was looking for this kind of information and enjoyed reading this one. Keep posting. Thanks for sharing.

    Simple Linear Regression

    Correlation vs covariance

    KNN Algorithm

    ReplyDelete
  53. Article is great information was useful thanks you waiting for next update.
    Data Analytics Certification Training

    ReplyDelete
  54. Thanks for the lovely blog. It helped me a lot. I'm glad I found this blog. Thanks for sharing with us, I too am always learning something new from your post.

    360DigiTMG Data Science Courses

    ReplyDelete
  55. I can configure my new idea from this post. Detailed information is given. Thank you all for this valuable information...

    360DigiTMG Data Science Certification

    ReplyDelete
  56. Amazing Article ! I would like to thank you for the efforts you had made for writing this awesome article. This article inspired me to read more. keep it up.
    Correlation vs Covariance
    Simple Linear Regression
    data science interview questions
    KNN Algorithm
    Logistic Regression explained

    ReplyDelete
  57. I am really enjoying reading your well written articles. It looks like you spend a lot of effort and time on your blog. I have bookmarked it and I am looking forward to reading new articles. Keep up the good work.
    360DigiTMG

    ReplyDelete
  58. Thanks for the lovely blog. It helped me a lot. I'm glad I found this blog. Thanks for sharing with us, I too am always learning something new from your post.

    360DigiTMG Business Analytics Course in Bangalore

    ReplyDelete
  59. I can configure my new idea from this post. Detailed information is given. Thank you all for this valuable information...

    360DigiTMG Data Analytics Course in Bangalore

    ReplyDelete
  60. Amazing Article ! I would like to thank you for the efforts you had made for writing this awesome article. This article inspired me to read more. keep it up. data science courses

    ReplyDelete
  61. This is a wonderful article, Given so much info in it, These type of articles keeps the users interest in the website, and keep on sharing more ... good luck.

    Simple Linear Regression

    Correlation vs Covariance

    ReplyDelete
  62. After reading your article I was amazed. I know that you explain it very well. And I hope that other readers will also experience how I feel after reading your article.
    360DigiTMG

    ReplyDelete
  63. Expressing thanks to you for partaking such immensities of information within few momentous sentences in this content. I am really looking forward to read some more motivating articles.
    SAP training in Kolkata
    SAP training Kolkata
    Best SAP training in Kolkata
    SAP course in Kolkata

    ReplyDelete
  64. incredible article!! sharing these kind of articles is the decent one and I trust you will share an article on information science.By giving an organization like 360DigiTMG.it is one the best foundation for doing guaranteed courses

    artificial intelligence course in delhi

    ReplyDelete
  65. I am impressed by the information that you have on this blog. It shows how well you understand this subject.
    data science training

    ReplyDelete
  66. I am astounded by the fact how you have described the entire scenario of the topic. It contains judiciously sound advices.
    Data Science training in Mumbai
    Data Science course in Mumbai
    SAP training in Mumbai

    ReplyDelete
  67. I am impressed by the information that you have on this blog. It shows how well you understand this subject.
    data science course in Hyderabad

    ReplyDelete
  68. It is a great pleasure to read your message. It's full of information I'm looking for and love to post a comment that says "The content of your post is amazing". Excellent work.

    Artificial Intelligence Course in Bangalore

    ReplyDelete
  69. the ulterior motive of data science is fairly simple, though- to understand the hidden pattern and meaning in a large pile of data that can be simultaneously used to solve some real-life problem, help businesses tackle decision-making obstacles, understand and analyze the future behavior of people as per the data trends. data science course in hyderabad

    ReplyDelete
  70. Wow ... what a great blog, this writer who wrote this article is really a great blogger, this article inspires me so much to be a better person.

    Business Analytics Course in Bangalore

    ReplyDelete
  71. I will be interested in more similar topics. I see you have some really very useful topics, I will always check your blog thank you.

    Data Analytics Course in Bangalore

    ReplyDelete
  72. I will be interested in more similar topics. I see you have some really very useful topics, I will always check your blog thank you.

    Business Analytics Course in Bangalore

    ReplyDelete
  73. I found a great article here.I are certain to become straight back. I only added your website on my own bookmark websites. thanks. Quality articles could be your vital to encourage the traffic to see the internet page, so which is exactly what this internet site is currently providing.Learn tableau course in bangalore

    ReplyDelete
  74. Amazing Article ! I would like to thank you for the efforts you had made for writing this awesome article. This article inspired me to read more. keep it up.
    Correlation vs Covariance
    Simple Linear Regression
    data science interview questions
    KNN Algorithm
    Logistic Regression explained

    ReplyDelete
  75. Really nice and interesting post. I was looking for this kind of information and enjoyed reading this one. Keep posting. Thanks for sharing.

    Simple Linear Regression

    Correlation vs Covariance

    ReplyDelete
  76. Very nice blogs!!! i have to learning for lot of information for this sites…Sharing for wonderful information.Thanks for sharing this valuable information to our vision. You have posted a trust worthy blog keep sharing, data sciecne course in hyderabad

    ReplyDelete
  77. Amazing Article ! I would like to thank you for the efforts you had made for writing this awesome article. This article inspired me to read more. keep it up.
    Simple Linear Regression
    Correlation vs covariance
    data science interview questions
    KNN Algorithm
    Logistic Regression explained

    ReplyDelete
  78. Great writing! You have a flair for informational writing. Your content has impressed me beyond words. I have a lot of admiration for your writing. Thank you for all your valuable input on this topic.


    IT Security Assessment services

    ReplyDelete
  79. Awesome blog. I enjoyed reading your articles. This is truly a great read for me. I have bookmarked it and I am looking forward to reading new articles. Keep up the good work!
    360DigiTMG

    ReplyDelete
  80. I have to search sites with relevant information ,This is a
    wonderful blog,These type of blog keeps the users interest in
    the website, i am impressed. thank you.
    pmp training in bangalore

    ReplyDelete
  81. Fantastic blog extremely good well enjoyed with the incredible informative content which surely activates the learners to gain the enough knowledge. Which in turn makes the readers to explore themselves and involve deeply in to the subject. Wish you to dispatch the similar content successively in future as well.

    artificial intelligence training in bhilai

    ReplyDelete
  82. Impressive blog to be honest definitely this post will inspire many more upcoming aspirants. Eventually, this makes the participants to experience and innovate themselves through knowledge wise by visiting this kind of a blog. Once again excellent job keep inspiring with your cool stuff.

    Data Science certification in Bhilai

    ReplyDelete
  83. Extraordinary blog went amazed with the content that they have developed in a very descriptive manner. This type of content surely ensures the participants to explore themselves. Hope you deliver the same near the future as well. Gratitude to the blogger for the efforts.

    Digital Marketing training in Bhilai

    ReplyDelete
  84. Tremendous blog quite easy to grasp the subject since the content is very simple to understand. Obviously, this helps the participants to engage themselves in to the subject without much difficulty. Hope you further educate the readers in the same manner and keep sharing the content as always you do.

    Data Science Course in Raipur

    ReplyDelete
  85. Stupendous blog huge applause to the blogger and hoping you to come up with such an extraordinary content in future. Surely, this post will inspire many aspirants who are very keen in gaining the knowledge. Expecting many more contents with lot more curiosity further.

    Digital Marketing Course

    ReplyDelete
  86. very well explained .I would like to thank you for the efforts you had made for writing this awesome article. This article inspired me to read more. keep it up.
    Simple Linear Regression
    Correlation vs covariance
    data science interview questions
    KNN Algorithm
    Logistic Regression explained

    ReplyDelete
  87. Fantastic blog extremely good well enjoyed with the incredible informative content which surely activates the learners to gain the enough knowledge. Which in turn makes the readers to explore themselves and involve deeply in to the subject. Wish you to dispatch the similar content successively in future as well.

    artificial intelligence course in raipur

    ReplyDelete
  88. I have to search sites with relevant information ,This is a
    wonderful blog,These type of blog keeps the users interest in
    the website, i am impressed. thank you.
    pmp training in bangalore

    ReplyDelete
  89. I have to search sites with relevant information ,This is a
    wonderful blog,These type of blog keeps the users interest in
    the website, i am impressed. thank you.
    pmp training in bangalore

    ReplyDelete
  90. I have to search sites with relevant information ,This is a
    wonderful blog,These type of blog keeps the users interest in
    the website, i am impressed. thank you.
    pmp training in bangalore

    ReplyDelete
  91. Woohoo! It is an amazing and useful article. I really like. It's so good and so amazing. I am amazed. I hope you will continue to do your job in this way in the future as well.

    Business Analytics Course in Bangalore

    ReplyDelete
  92. I am overwhelmed by your post with such a beautiful subject. I usually visit their blogs and update myself through the information they contain, but today's blog would be most appreciated. Well done!

    Data Analytics Course in Bangalore

    ReplyDelete
  93. From this post I know that your good knowledge of the game with all the pieces has been very helpful. I inform you that this is the first place where I find problems that I look for. You have a clever but attractive way of writing.

    Artificial Intelligence Course in Bangalore

    ReplyDelete
  94. To be a data scientist, one necessarily needs not to have too much experience, even fresher with mathematics, computer, and economics background can get trained to be a data scientist. This soaring need for data scientists is because of the rising application of big data in almost every industry possible. data science course syllabus

    ReplyDelete
  95. Nice Information Your first-class knowledge of this great job can become a suitable foundation for these people. I did some research on the subject and found that almost everyone will agree with your blog.
    Cyber Security Course in Bangalore

    ReplyDelete
  96. Writing in style and getting good compliments on the article is hard enough, to be honest, but you did it so calmly and with such a great feeling and got the job done. This item is owned with style and I give it a nice compliment. Better!
    Cyber Security Training in Bangalore

    ReplyDelete
  97. Great article with valuable information found very resourceful thanks for sharing.
    typeerror nonetype object is not subscriptable

    ReplyDelete
  98. Really nice and intriguing post. I was trying to find this sort of advice and appreciated reading this one. Keep posting. Thank you for sharing.
    Data Science Training Institute in Bangalore

    ReplyDelete
  99. This Is a Fantastic article, signifying so much information on it, These Kind of posts keeps the users attention from the Site, and continue sharing more... good luck
    Data Science Course In Bangalore With Placement

    ReplyDelete
  100. very well explained. I would like to thank you for the efforts you had made for writing this awesome article. This article inspired me to read more. keep it up.
    Logistic Regression explained
    Correlation vs Covariance
    Simple Linear Regression
    KNN Algorithm
    data science interview questions

    ReplyDelete
  101. You have completed certain reliable points there. I did some research on the subject and found that almost everyone will agree with your blog.

    Artificial Intelligence Course in Bangalore

    ReplyDelete
  102. You might be working with numerous merchants and everybody has an alternate necessities. besimple.com/

    ReplyDelete
  103. I am very enjoying to read your well-written article posts. It seems that you devote a great deal of hard work and time onto your own blog. Learn Tableau Course in Bangalore

    ReplyDelete
  104. Very useful message. This is my first time visiting here. I found a lot of interesting things on your blog, especially your discussion. It really is a great article. Keep on going. PMP Certification in Hyderabad

    ReplyDelete
  105. Really fine and interesting informative article. I used to be looking for this kind of advice and enjoyed looking over this one. Thank you for sharing. Tableau Course in Bangalore

    ReplyDelete
  106. This is my first time i visit here. I found so many entertaining stuff in your blog, especially its discussion. From the tons of comments on your articles, I guess I am not the only one having all the leisure here! Keep up the good work. I have been meaning to write something like this on my website and you have given me an idea.

    data science course in India

    ReplyDelete
  107. This is exactly the information I'm looking for, I couldn't have asked for a simpler read with great tips like this... Thanks! ExcelR Data Analytics Course

    ReplyDelete
  108. You might comment on the order system of the blog. You should chat it's splendid. Your blog audit would swell up your visitors. I was very pleased to find this site.I wanted to thank you for this great read!!
    Artificial Intelligence Course

    ReplyDelete
  109. Really a great addition. I have read this marvelous post. Thanks for sharing information about it. I really like that Water Softener System

    ReplyDelete
  110. Great Information sharing .. I am very happy to read this article .. thanks for giving us go through info.Fantastic nice. I appreciate this post.
    Data Science Training in Hyderabad

    ReplyDelete
  111. Truly mind blowing blog went amazed with the subject they have developed the content. These kind of posts really helpful to gain the knowledge of unknown things which surely triggers to motivate and learn the new innovative contents. Hope you deliver the similar successive contents forthcoming as well.

    Digital Marketing Course

    ReplyDelete
  112. Stupendous blog huge applause to the blogger and hoping you to come up with such an extraordinary content in future. Surely, this post will inspire many aspirants who are very keen in gaining the knowledge. Expecting many more contents with lot more curiosity further.

    Data Science training in Raipur

    ReplyDelete
  113. Tremendous blog quite easy to grasp the subject since the content is very simple to understand. Obviously, this helps the participants to engage themselves in to the subject without much difficulty. Hope you further educate the readers in the same manner and keep sharing the content as always you do.

    Digital Marketing Course in Bhilai

    ReplyDelete
  114. Terrific post thoroughly enjoyed reading the blog and more over found to be the tremendous one. In fact, educating the participants with it's amazing content. Hope you share the similar content consecutively.

    Data Science training in Bhilai

    ReplyDelete
  115. I need to communicate my deference of your composing aptitude and capacity to make perusers read from the earliest starting point as far as possible. I might want to peruse more up to date presents and on share my musings with you.
    https://360digitmg.com/course/certification-program-on-big-data-with-hadoop-spark

    ReplyDelete
  116. I am really appreciative to the holder of this site page who has shared this awesome section at this spot
    data science courses in delhi

    ReplyDelete
  117. Decent data, profitable and phenomenal outline, as offer well done with smart thoughts and ideas, bunches of extraordinary data and motivation, both of which I require, on account of offer such an accommodating data here 토토사이트

    ReplyDelete
  118. I wanted to leave a little comment to support you and wish you a good continuation. Wishing you the best of luck for all your blogging efforts.
    Best Institutes For Digital Marketing in Hyderabad


    ReplyDelete
  119. Succeed! It could be one of the most useful blogs we have ever come across on the subject. Excellent info! I’m also an expert in this topic so I can understand your effort very well. Thanks for the huge help. auto glass near me

    ReplyDelete
  120. Really nice and interesting post. I was looking for this kind of information and enjoyed reading this one. Keep posting. Thanks for sharing. dental implants tijuana

    ReplyDelete
  121. I read this article. I think You put a lot of effort to create this article. I appreciate your work used motorcycles for sale

    ReplyDelete
  122. A debt of gratitude is in order for the blog entry amigo! Keep them coming. polaris dealer

    ReplyDelete
  123. Really nice and interesting post. I was looking for this kind of information and enjoyed reading this one. Keep posting. Thanks for sharing. seo tijuana

    ReplyDelete
  124. I found your documents very interesting. You have a amazing skills of writing a brief content. Thanks for talking about this, it is really a useful for me. I am going to preserve this. real estate broker wakefield

    ReplyDelete
  125. I want you to thank for your time of this wonderful read !!! I definately enjoy every little bit of it and I have you bookmarked to check out new stuff of your blog a must read blog hebergement web Gatineau Ottawa

    ReplyDelete
  126. Nice post. I learn some thing tougher on different blogs everyday. Most commonly it is stimulating to read content off their writers and practice something at their store. I’d opt to use some with all the content in my weblog whether or not you do not mind. Natually I’ll provide a link with your internet weblog. Thank you for sharing real estate broker chelsea

    ReplyDelete
  127. It is quite beneficial, although we think about the facts when it reaches this target yoga ville de gatineau

    ReplyDelete
  128. I love the way you write and share your niche! Very interesting and different! Keep it coming Terrasverwarmer

    ReplyDelete
  129. Hello I really like your post and I think that it's curious. I would like to use it in my article. Is it possible? Of course, I will write a source Water Softener

    ReplyDelete
  130. Nice post. I learn some thing more difficult on various blogs everyday. It will always be stimulating you just read content using their company writers and use a little something from their site. I'd prefer to use some with all the content in my small weblog no matter whether you don't mind. Natually I'll provide you with a link on the internet weblog. Many thanks sharing Sanitation Services

    ReplyDelete
  131. I appreciate this article for the well-researched content and excellent wording. I got so interested in this material that I couldn’t stop reading. Your blog is really impressive baltimore video production

    ReplyDelete
  132. This is very interesting, You are a very skilled blogger. I’ve joined your rss feed and look forward to seeking more of your magnificent post. Also, I have shared your website in my social networks! shipping from china to usa

    ReplyDelete
  133. I havent any word to appreciate this post.....Really i am impressed from this post....the person who create this post it was a great human..thanks for shared this with us buy website traffic

    ReplyDelete
  134. 좋은 정보, 가치 있고 우수한 디자인, 좋은 아이디어와 개념, 많은 훌륭한 정보와 영감을 공유하는 등 유용한 정보를 제공하는 덕분에 모두 필요합니다. 토토사이트

    ReplyDelete
  135. I can set up my new idea from this post. It gives in depth information. Thanks for this valuable information for all 토토사이트추천

    ReplyDelete
  136. I have read your article couple of times because your views are on my own for the most part. It is great content for every reader. 메이저놀이터

    ReplyDelete
  137. This is such a great resource that you are providing and you give it away for free 먹튀안전사이트

    ReplyDelete
  138. This article is one of the best in the history of articles. I'm a antique 'Article' collector and I sometimes read them interesting freelancer malta

    ReplyDelete
  139. This post is very simple to read and appreciate without leaving any details out. Great work!
    data science courses in aurangabada

    ReplyDelete
  140. Python programming offers a number of features that make it an attractive option for web application development. data science course in india

    ReplyDelete
  141. 다소 환상적이지만이 치료법의 조언을 확인하십시오. 출장샵

    ReplyDelete
  142. Nice to meet you I am a student who blogs with content similar to your website. There is a lot to learn on your website. If you have time, I would appreciate it if you visit my blog and leave feedback. Have a nice day토토사이트

    ReplyDelete
  143. Cool stuff you have got and you keep update all of us 토토사이트

    ReplyDelete
  144. Cool stuff you have and you keep overhaul every one of us 먹튀검증업체

    ReplyDelete
  145. Nice to be visiting your blog again, it has been months for me. Well this article that i've been waited for so long. I need this article to complete my assignment in the college, and it has same topic with your article. Thanks, great share 토토사이트

    ReplyDelete
  146. Attend The Data Analyst Course From ExcelR. Practical Data Analyst Course Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Analyst Course.
    Data Analyst Course

    ReplyDelete

  147. I enjoy it for creating the details, keep up the truly amazing perform continuing ExcelR Data Analytics Courses

    ReplyDelete

  148. I am glad that i found this page ,Thank you for the wonderful and useful posts enjoyed reading it ,i would like to visit again.
    Data Science Course in Mumbai

    ReplyDelete
  149. Really wonderful blog completely enjoyed reading and learning to gain the vast knowledge. Eventually, this blog helps in developing certain skills which in turn helpful in implementing those skills. Thanking the blogger for delivering such a beautiful content and keep posting the contents in upcoming days.

    Data Science certification in Raipur

    ReplyDelete
  150. Truly incredible blog found to be very impressive due to which the learners who ever go through it will try to explore themselves with the content to develop the skills to an extreme level. Eventually, thanking the blogger to come up with such an phenomenal content. Hope you arrive with the similar content in future as well.

    Digital Marketing training in Raipur

    ReplyDelete
  151. Highly appreciable regarding the uniqueness of the content. This perhaps makes the readers feels excited to get stick to the subject. Certainly, the learners would thank the blogger to come up with the innovative content which keeps the readers to be up to date to stand by the competition. Once again nice blog keep it up and keep sharing the content as always.

    Data Science Course in Bhilai

    ReplyDelete
  152. Wonderful blog found to be very impressive to come across such an awesome blog. I should really appreciate the blogger for the efforts they have put in to develop such an amazing content for all the curious readers who are very keen of being updated across every corner. Ultimately, this is an awesome experience for the readers. Anyways, thanks a lot and keep sharing the content in future too.

    Digital Marketing training

    ReplyDelete
  153. Your content is very unique and understandable useful for the readers keep update more article like this.
    data science course in noida

    ReplyDelete
  154. I have to search sites with relevant information ,This is a
    wonderful blog,These type of blog keeps the users interest in
    the website, i am impressed. thank you.
    Data Science Training in Bangalore

    ReplyDelete
  155. Actually I read it yesterday but I had some ideas about it and today I wanted to read it again because it is so well written.
    Data Science Course in Vadodara

    ReplyDelete
  156. Hi! This is my first visit to your blog! We are a team of volunteers and new initiatives in the same niche. Blog gave us useful information to work. You have done an amazing job!

    Data Science Course in Mangalore

    ReplyDelete
  157. Thanks for your marvelous posting! I actually enjoyed reading it, you could be
    a great author.I will remember리니지프리서버

    to bookmark your blog and will
    eventually come back from now on. I want to encourage you to continue your great
    writing, have a nice weekend!

    ReplyDelete
  158. Very informative content and intresting blog post.Data science course in Nashik

    ReplyDelete
  159. A very awesome blog post. We are really grateful for your blog post. combat, law enforcement You will find a lot of바카라사이트

    approaches after visiting your post. I was exactly searching for. Thanks for such post and please keep it up. Great work

    ReplyDelete
  160. Hi, I looked at most of your posts. This article is probably where I got the most useful information for my research. Thanks for posting, we can find out more about this. Do you know of any other websites on this topic?
    Data Science Course in Jaipur

    ReplyDelete
  161. You should learn about the new option to make your business more successful. You can try the top black podcasts to learn about many real life technique to achieve your desire goals.

    ReplyDelete
  162. I was browsing the internet for information and found your blog. I am impressed with the information you have on this blog.
    Data Science Course in Nagpur

    ReplyDelete
  163. I am glad to discover this page. I have to thank you for the time I spent on this especially great reading !! I really liked each part and also bookmarked you for new information on your site.
    Data Science Training in Chennai

    ReplyDelete
  164. Great post i must say and thanks for the information. Education is definitely a sticky subject. However, is still among the leading topics of our time. I appreciate your post and look forward to more.
    Data Science Course in Bangalore

    ReplyDelete
  165. Fantastic Site with relevant information and content Shared was knowledgeable thank you.
    Data Science Courses Hyderabad

    ReplyDelete
  166. Great post i must say and thanks for the information. Education is definitely a sticky subject. However, is still among the leading topics of our time. I appreciate your post and look forward to more.
    Data Science Course in Bangalore

    ReplyDelete
  167. Impressive. Your story always bring hope and new energy. Keep up the good work.

    Data Science Course in Trichy

    ReplyDelete
  168. cool stuff you have and you keep overhaul every one of us

    Data Science Course in Trichy

    ReplyDelete
  169. Great post i must say and thanks for the information. Education is definitely a sticky subject. However, is still among the leading topics of our time. I appreciate your post and look forward to more.
    Data Science Course in Bangalore

    ReplyDelete
  170. Really impressed! Everything is a very open and very clear clarification of the issues. It contains true facts. Your website is very valuable. Thanks for sharing.
    Data Science Course in Lucknow

    ReplyDelete
  171. Thanks for posting the best information and the blog is very informative.Data science course in Faridabad

    ReplyDelete
  172. Very good message. I stumbled across your blog and wanted to say that I really enjoyed reading your articles. Anyway, I will subscribe to your feed and hope you post again soon.
    Data Analytics course in Vadodara

    ReplyDelete
  173. I have a mission that I’m just now working on, and I have been at the look out for such information ExcelR Data Analyst Course

    ReplyDelete