Harvard University is committed to teaching, studying, scientific excellence, and creating leaders in several disciplines who make a global difference. The faculty of Harvard is committed to education and science to push the boundaries of human understanding.
Harvard University Free Course Portal: https://bit.ly/2WfTV6B
A vast online site for education. It is a very high quality and popular website. This site allows you to many courses for free with Data Science, Machine Learning, Big Data, Python, R, History, Science, Management, etc.
To get free courses, Go to FREE COURSE PORTAL then, filter Data Science from SUBJECT AREA.
Select your topic, for example, Statistics and R, Click on TAKE COURSE, Click on ENROLL.
1. Statistics and R
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.
2. High-Dimensional Data Analysis
A focus on several techniques that are widely used in the analysis of high-dimensional data.
3. Statistical Inference and Modeling for High-throughput Experiments
A focus on the techniques commonly used to perform statistical inference on high throughput data.
4. Data Science: R Basics
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
5. Data Science: Machine Learning
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
6. Data Science: Linear Regression
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
7. Data Science: Capstone
Show what you’ve learned from the Professional Certificate Program in Data Science.
8. Data Science: Visualization
Learn basic data visualization principles and how to apply them using ggplot2.
9. Data Science: Probability
Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.
10. Introduction to Linear Models and Matrix Algebra
Learn to use R programming to apply linear models to analyze data in life sciences.