Virtual program of:edX |
This study is part of our review on:
Fundamental R programming skills Statistical concepts such as probability, inference, and modeling and how to apply them in practice Gain experience with tidyverse, including data visualization with ggplot2 and data management with dplyr Familiarize yourself with essential tools for data scientists at exercise, such as Unix/Linux, git, GitHub, and RStudio Implement machine learning algorithms Deep understanding of fundamental data science concepts through engaging real-world case studies
1 year 5 months. 2 - 3 hours per week suggested.
9 virtual courses in soft skills
The demand for qualified data science professionals in industry, academia, and government is growing rapidly.
The HarvardX Data Science program prepares you with the necessary knowledge base and useful skills to tackle the challenges of real-world data analysis.
The program covers concepts such as probability, inference, regression, and machine learning and helps you develop a set of essential skills including R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, control of versions with git and GitHub and reproducible document preparation with RStudio.
In each course, we use motivating case studies, ask specific questions, and learn by answering them through data analysis.
Case studies include: Trends in World Health and the Economy, Crime Rates in the US.
USA, The 2007-2008 Financial Crisis, Election Forecasting, Creating a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems.
Throughout the program, we will use the R software environment.
You will learn R, statistical concepts and data analysis techniques simultaneously.
We believe that you can better retain your knowledge of R when you learn how to solve a specific problem.
Whether you're looking to accelerate your career, earn a degree, or learn something for personal reasons, edX has the right courses for you.
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Study and demonstrate knowledge at your preferred study time.
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Learn alongside university partners and colleagues from around the world.
Expert HarvardX faculty and instructors committed to high-quality virtual education.
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