Harvard University is offering FREE 14 Online Data Science Courses
Learn skills and tools that support data science and reproducible research. Advance your career. Pursue your passion. Keep learning.
The courses include:
1. Principles, Statistical and Computational Tools for Reproducible Science
Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others. https://online-learning.harvard.edu/course/principles-statistical-and-computational-tools-reproducible-science?delta=0
2. Data Science: Linear Regression
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science. https://online-learning.harvard.edu/course/data-science-linear-regression?delta=0
Show what you’ve learned from the Professional Certificate Program in Data Science. https://online-learning.harvard.edu/course/data-science-capstone?delta=0
4. Data Science: Machine Learning
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques. https://online-learning.harvard.edu/course/data-science-machine-learning?delta=0
5. Quantitative Methods for Biology
Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine. https://online-learning.harvard.edu/course/quantitative-methods-biology?delta=0
6. Data Science: Visualization
Learn basic data visualization principles and how to apply them using ggplot2. https://online-learning.harvard.edu/course/data-science-visualization?delta=0
Build a foundation in R and learn how to wrangle, analyze, and visualize data. https://online-learning.harvard.edu/course/data-science-r-basics?delta=0
Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008. https://online-learning.harvard.edu/course/data-science-probability?delta=0
9. Data Science: Productivity Tools
Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio. https://online-learning.harvard.edu/course/data-science-productivity-tools?delta=0
10. Data Science: Inference and Modeling
Learn inference and modeling: two of the most widely used statistical tools in data analysis. https://online-learning.harvard.edu/course/data-science-inference-and-modeling?delta=0
Learn to process and convert raw data into formats needed for analysis. https://online-learning.harvard.edu/course/data-science-wrangling?delta=0
12. High-Dimensional Data Analysis
A focus on several techniques that are widely used in the analysis of high-dimensional data. https://online-learning.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis?delta=0
13. Introduction to Linear Models and Matrix Algebra
Learn to use R programming to apply linear models to analyze data in life sciences. https://online-learning.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra?delta=0
14. Statistics and R
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences. https://online-learning.harvard.edu/course/statistics-and-r?delta=1
Website Link: https://online-learning.harvard.edu/subject/data-science
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