Discover the Best Data Science Resources on GitHub

Data Science is one of the hottest topics in the field of Computer Science nowadays. People have gathered data from applications and systems until today and now is the time to analyze them. Here you can find some useful repositories that will make you land in the field of Data Science.

1.Data Science for beginners:

This repository is very useful for beginners who would like to start their career in DataScience. This repository contains a 10-week, 20-lesson curriculum all about Data Science by Azure Cloud Advocated at Microsoft.

Each lesson includes post-lesson quizzes to test your knowledge, written instructions to complete the lesson, a solution, and an assignment

2.Data Science Cheatsheet 2.0

This repository contains a helpful 5-page data science cheat sheet to assist with the exam reviews, interview preparation, and learning any concepts in between. It is mostly based on MIT'S Machine Learning courses 6.867 and 15.072. The reader should have at least a basic understanding of statistics and linear algebra.

3.The Open-Source Data Science Masters

This is an open-source repository and it has curriculum resources from both universities and working Data Scientists focusing on both foundational theory and applied skills. The main goal of this repository is to prepare the student for an entry-level Data Scientist role, using open-source materials, at no cost but with the same caliber of materials found in the most reputable paid programs.

4.Awesome Data Science

This GitHub repository goes through all the nooks and corners of Data Science. This repository is like a toolbox for data science. If you are a person who needs to know the topics you require to become a data scientist.

This repository contains books, blog articles, web pages, and more on everything you need to know about the field of data science.

5. Free Data Science Books

This is the only repository you will most probably need if you love to read books more than watching tutorials. This repository contains a list of free learning resources for data science and big data-related concepts, techniques, and applications. It contains books for a wide variety of audiences (beginner, intermediate, or veteran)

6. Data Science IPython Notebooks

This repository is made by Donne Martin, a tech lead from Facebook covers a wide range of popular topics and tools for technologies such as Data Science, Big Data, Machine Learning, etc. This repository also contains information tools such as TensorFlow, Kera, Pandas, NumPy, Spark, Amazon Web Services, Matplotlib,etc

7.Data Science Interview Resources -Interview Questions

This repository will help you land a job in the field of Data Science, that people are dreaming of, by sharing experience and interviewing heavily at both large product-based companies and fast-growing startups.

The hard skill questions you will be asked during a data science interview will typically be based on two categories: theoretical and technical. This GitHub repo goes through both and helps you test your knowledge in order to prepare for your interview.

8.Data Science Blogs

As the name suggests, this GitHub repository contains a curated list of data science blogs for Data Science enthusiasts.

9.Learn Data Science

This repository contains a few Data Science Learning materials you can get started with made by Nitin Borwankar in the form of IPython Notebooks. This repository consists of four major topics as Linear Regression, Logistics Regression, Random Forests, and K-Means Clustering.

10.Cracking the Data Science Interview

This repository contains the collection of cheat sheets, case studies, and books that you might need for your Data Science journey.

Please click on the image to go to the respective repository.

I hope with the number of resources available in this day, anyone can become a Data Scientist.

Keep Learning 📚

Now, I guess this is where I say GoodBye👋.

But, hey it’s time for you to start learning with your newfound Knowledge(Power)👨‍💻👩‍💻 .

Thanks for reading till the end❤️

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