Become a Data Scientist with Free Learning Materials

Dhiraj Patra
5 min readJul 16, 2022

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How to become a high level data scientist with free learning materials

It can take approx. 12 months. So you have to make a commitment to your devotion and focus to complete the whole syllabus. Then definitely your knowledge in data science will strong enough to compete for any challenges in this field.

Mini-Projects in Data Cleaning, Handing, Python

Mini-Project in Foundations of Data Science (Bayesian Learning, Data Handling, Probability)

Mini-Projects in Machine Learning Algorithms in Multiple Domains (Rental Business, Healthcare, Banking, NLP, Customer Segmentation)

Mini-Projects in Computing for AI/ML (Writing ML packages from scratch, Using OpenMP/MPI)

Mini-Projects in Neural Networks (Computer Vision, Image Analytics, Video Analytics, Financial Analytics, NLP, Reinforcement Learning Stock Trader)

Mini-Projects in Data Engineering (Process Movie Data using NoSQL Cassandra, Complex Analytics on network intrusion using PySpark, End-to-end, PySpark Analytics on Tweets Data, ML on cloud)

Mini-Projects in Business Analytics (Market Basket Analysis, Bitcoin Forecasting, Air Quality Forecasting, Customer Churn Analysis)

Projects can be done

The following course will cover various topics of the above syllabus

· Machine Learning Specialization with Andrew Ng

· https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about

· https://ocw.mit.edu/courses/6-036-introduction-to-machine-learning-fall-2020/

· https://www.youtube.com/watch?v=qZ6TJc5bSKU

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Dhiraj Patra

AI Strategy, Generative AI, AI & ML Consulting, Product Development, Startup Advisory, Data Architecture, Data Analytics, Executive Mentorship, Value Creation