Best Resources to Learn Data Science

Here we have listed some of the best resources to learn Data Science like Online courses, Best Data Science books, Tutorials, and Best Youtube channels to follow and learn.

Best Online Resources to Learn Data Science Online Courses:

1. IBM Data Science Professional Certificate – IBM
2. Become a Data Scientist – Udacity
3. Data Science Specialization – John hopkins University
4. Applied Data Science with Python Specialization – University of Michigan
5. Introduction to Data Science Specialization – IBM
6. Programming for Data Science with Python – Udacity
7. Data Science for Everyone – Datacamp (Free Course)
8. Data Scientist with Python – Datacamp
9. Data Scientist with R – Datacamp
10. Professional Certificate in Data Science – edX
11. MicroMasters® Program inData Science – edX
12. The Data Science Course 2022: Complete Data Science Bootcamp – Udemy
13. Data Scientist Masters Program – Edureka
14. Career Path Data Science – Codecademy

Statistics & Probability

1. Statistics with R Specialization – Duke University
2. Statistics with Python Specialization – University of Michigan
3. Learn Statistics with Python – Codecademy
4. Basic Statistics Course – University of Amsterdam
5. Statistics for Data Science and Business Analysis – Udemy
6. Statistical Analysis with R for Public Health Specialization – Imperial College London
7. Intro to Statistics – Udacity (Free Course)
8. Probability and Statistics – University of London
9. Probability and Statistics in Data Science using Python – UCSanDiego
10. Probability – The Science of Uncertainty and Data – MITx
11. Fundamentals of Statistics – MITx

Programming Language

1. Python for Everybody Specialization – University of Michigan
2. Introduction To Python Programming – Udemy
3. Crash Course on Python – Google
4. Python for Absolute Beginners! – Udemy
5. Introduction to Python Programming – Udacity (Free Course)
6. Python 3 Programming Specialization – University of Michigan
7. R Programming – Johns Hopkins University
8. Programming for Data Science with R – Udacity
9. R Programming A-Z – Udemy

Mathematics

1. Mathematics for Machine Learning Specialization – Imperial College London
2. Mathematics for Data Science Specialization – HSE University
3. Data Science Math Skills – Duke University
4. Introduction to Calculus – The University of Sydney

Data Wrangling

1. Excel to MySQL: Analytic Techniques for Business Specialization – Duke University
2. Learn SQL Basics for Data Science Specialization – University of California, Davis
3. Data Science Fundamentals with Python and SQL Specialization – IBM
4. SQL – MySQL for Data Analytics and Business Intelligence – Udemy
5. Modern Big Data Analysis with SQL Specialization – Cloudera
6. Data Warehousing for Business Intelligence Specialization – University of Colorado System

Data Visualization

1. Data Visualization with python – DataCamp
2. Data Visualization with Tableau Specialization – University of California, Davis
3. Data Visualization with Python – IBM
4. Data Visualization – Coursera
5. Data Visualization – Udacity

Best Resources to Learn Data Science Books:

• Becoming a Data Head: How to Think, Speak and Understand Data Science, Statistics and Machine Learning – by Alex
• Python Data Science Handbook: Essential Tools for Working with Data
• Ace the Data Science Interview: 201 Real Interview Questions
• Data Science from Scratch: First Principles with Python
• Data Science for Business: What you need to know about Data Mining and Data Analytics Thinking
• R for Data Science: Import, Tidy, Transform, Visualize and Model Data
• Practical Statistics for Data Scientists: 50+ essential concepts Using R and Python
• Cybersecurity Data Science: Best practices in an Emerging profession
• Statistical Inference via Data Science: A modern dive into R and the Tidyverse
• Hands on Data Analysis with Pandas: A python data science handbook for data collection Wrangling analysis and visualization
• Introduction to machine learning with python: A guide for data scientists
• Data Science for Economics and Finance: Methodologies and Applications
• Intro to python for Computer Science and Data Science Learning to program with AI, Bigdata and Cloud
• Cleaning data for Effective Data Science: Doing the other 80% of the work with Python, R and Command Line tools
• Hands on Data Science for Marketing: Improve your marketing strategies with machine learning using Python and R
• Data Science for Supply chain forecasting
• How to lead in data science

Be in touch with this blog post to get the latest updates on Best Data Science Blogs / Tutorials and Best data Science Youtube Channels to follow.