I started my journey into data science in 2012, at that time data science, machine learning, and artificial intelligence, all these terms looked similar to me. It took me some time to understand the nuances of these similar terminologies.

I still see newbies and enthusiasts getting confused between these terms. In this article, I am going to cover my understanding of these terminologies and how these similar-looking fields are different. So let's get started…

Data Science

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply…

In this post, I am going to cover how you can build a data analytics ecosystem in your organization.

A business doesn’t think in terms of data and technology, it mainly focuses on business outcomes and what it can do to maximize the business value.

There has not been an exciting time than this to talk about data. Data is everywhere, it is being called the new oil, it has become a strategic asset. An organization’s success or failure is now quite dependent on whether it is able to exploit the business value of the data available to them.

In this long blog post, I am going to cover an approach for an organization or business to become data-driven. Why a data strategy is important? How we can align it to business strategy? Which areas to focus on to become data-driven? Which are the emerging…

In this post, I am going to cover a typical end-to-end data science process.

Watch this episode on YouTube here.

From data science use-case identification to the deployment of the models in production, so much goes into data science projects.

In this article, I would like to talk about 5 data science use cases for every business.

Watch this episode on YouTube here.

Every organization, every business is trying to make the most of available data, to get a competitive advantage.

But you don’t get data science projects out of anywhere…

You need to identify and validate data science use cases, before getting into typical data science lifecycle.

So identifying and validating the data science use cases is a task in itself.

Today, I would like to talk about 5 common areas to look for data science use cases, which…

I have been a movie buff all my life.

I have watched almost all the top 250 movies from IMDB and every decent movie from my favourite genres.

Now, you may ask me how data science and movies are related.

Watch my episode on the same topic on YouTube here.

Well, there are a few worth-watching movies on science & technology, like biographies, real-life events, sci-fi et Cetra.

Today, I would like to talk about 9 movies every data scientist should watch.

Please note, that these movies are not specific to data science, and I am covering them in chronological…

In this post, I am going to talk about 5 books every data professional should read.

Now grab my content on your favourite platform: YouTube | SoundCloud | SlideShare | LinkedIn

These are the books that have shaped my career over the last few years.

And I believe every data professional working on the data projects should keep these books handy, be it a data scientist, data engineer or machine learning engineer.

Ankit Rathi

Data Science Architect | ankitrathi.com/blog

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