Best Online Courses:

**Data Analysis Courses:**

- Become a Data Analyst – Udacity
- Data Analyst with R Programming – Edureka
- Data Analyst with R – Datacamp
- Data Analyst with Python – Datacamp
- Data Analyst Masters Program – Edureka
- Data Science Specialization – Johns Hopkins University
- IBM Data Science Professional Certificate – IBM
- Data Science Foundations using R Specialization – John Hopkins University
- Applied Data Science with Python Specialization – University of Michigan
- IBM Data Analyst Professional Certificate – IBM
- Google Data Analytics Professional Certificate – Google

**Programming Courses:**

- Programming for Data Science with Python – Udacity
- Intermediate Python – Udacity
- Programming for Data Science with R – Udacity
- Online Python Course – Edureka
- R Programming – Datacamp
- Python Programmer – Datacamp
- Python for Everybody Specialization – University of Michigan
- Crash course on Python – Google
- Python 3 Programming Specialization – University of Michigan
- R Programming Course – Johns Hopkins University
- Python for Beginners – Udemy
- R Programming A-Z for data Science with Real Examples – Udemy
- Learn R – Codecademy

**Machine Learning Courses:**

- Intro to machine learning with Tensorflow – Udacity
- Become a Machine Learning Engineer – Udacity
- Machine Learning Masters Program – Edureka
- Machine Learning Course – Stanford University
- Machine Learning with Python – IBM
- Advanced Machine Learning Specialization – HSE University
- Machine Learning for All – University of London
- Machine Learning A – Z Hands on Python and R in Data Science – Udemy
- Python for Data Science and Machine Learning Bootcamp Udemy

**Statistics Courses:**

- Intro to descriptive Statistics – Udacity
- Intro to Inferential Statistics – Udacity
- Intro to statistics – Udacity
- Statistics with Python Specialization – University of Michigan
- Statistics with R Specialization – Duke University
- Advanced Statistics for Data Science Specialization – Johns Hopkins University
- Basic Statistics – University of Amsterdam
- Data Science: Statistics and Machine Learning – Johns Hopkins University
- Statistics for Data Science and Business Analysis – Udemy
- Learn Statistics with R – Codecademy
- Learn Statistics with Python – Codecademy
- Master Statistics with Python – Codecademy

**Mathematics Courses:**

- Mathematics for Machine Learning Specialization – Imperial College London
- Data Science Math Skills – Duke University
- Introduction to Calculus – The University of Sydney
- Mathematics for Data Science Specialization – HSE University
- Probability and Statistics – University of London

**Data Wrangling Courses:**

- Data Wrangling with MongoDB – Udacity
- SQL Essentials Training and Certification – Edureka
- Data Wrangling Analysis and AB Testing with SQL – University of California
- Excel to MySQL Analytic Techniques for Business Specialization – Duke University
- Learn SQL basics for Data Science Specialization – University of California
- Databases and SQL for Data Science with Python – IBM
- Modern Big Data Analysis with SQL Specialization – Cloudera
- Introduction to Structured Query Language – University of Michigan
- Data Warehousing for Business intelligence Specialization – University of Colorado
- The Complete SQL Bootcamp 2022 – Udemy
- SQL – MySQL for Data Analytics and Business Analysis – Udemy

**Data Visualization Courses:**

- Data Analysis and Visualization with Power BI – Udacity
- Data Visualization – Udacity
- Tableau Certification Training – Edureka
- Data visualization with Tableau Specialization – University of California, Davis
- Data Visualization with Advanced Excel – PWC
- Information Visualization Specialization – New York University
- Information Visualization Advanced Techniques – New York University
- Data Visualization with Python – IBM
- Data Visualization and Communication with Tableau – Duke University
- Tableau 2020 Certified Associate Exam Guide A-Z (w Datasets) – Udemy
- Complete tableau 2021 training for Absolute Beginners – Udemy

Books:

**Programming Language Books:**

- Python Crash course – Eric Matthes View on Amazon
- Head first Python: A Brain Friendly Guide – Paul Barry
- Learn Python the hard way – Zed. A Shaw
- Intro to Python for Computer Science and Data Science Learning to Program with AI, Big data and Cloud – Paul Deitel
- Automate the boring stuff with Python – Sweigart
- R for data science – Hadley Wickham
- Machine Learning with R – Brett Lantz
- The book of R: A first course in Programming and Statistics – Tilman M.Davies

**Machine Learning Books:**

- Hands on Machine Learning with Scikit – Learns, Keras and Tensorflow – Aurelien Geron
- The Hundred page Machine Learning book – Andriy Burkov
- Machine Learning for Absolute Beginners – Oliver Theobald
- Machine Learning: An applied Mathematics Introduction – Paul Wilmott
- Introduction to Machine Learning with Python: A Guide for Data Scientists – Andreas C.Muller

**Statistics Books:**

- An Introduction to Statistical Learning – Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
- Practical Statistics for Data Scientists – Peter Bruce
- Probability and Statistics for Data Science – Norman Matloff
- The art of Statistics: How to learn from Data – David Spiegelhalter
- How to lie with Statistics – Darrell Huff

**Mathematics Books:**

- Introduction to Probability – Joseph K. Blitzstein, Jessica Hwang
- Mathematics for Machine Learning – Marc Peter Deisenroth
- Linear Algebra and Optimization for Machine Learning – Charu C.Aggarwal

**Data Wrangling Books:**

- The Data Wrangling workshop – Brian Lipp
- Hands on Data Analysis with Pandas efficiently perform data collection, wrangling, analysis and visualization using python – Stefanie Molin
- Data Analysis from Scratch with Python – Peters Morgan
- Python for Data Analysis: Data Wrangling with Pandas, Numpy, and IPython – Wes Mckinney

**Data Visualization Books:**

- Storytelling with Data: A Data Visualization guide for business professionals – Cole nussbaumer knaflic
- Data VisualizationL: A practical introduction – Kieran Healy
- Effective Data Visualization: The right chart for the Right Data – Stephanie Evergreen
- Data Visualization Handbook for data driven design – Andy Kirk

**Conclusion:**

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