Professional Certificate in Data Science
This program gives you useful skills to tackle real-world data analysis challenges, covering concepts like probability, inference, regression, and machine learning.
About this course
The HarvardX Data Science professional certificate program from Harvard University prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges. The program covers concepts such as probability, inference, regression, and machine learning. During the program, you’ll learn:
- Fundamental R programming skills
- Statistical concepts such as probability, inference, and modeling and how to apply them in practice
- Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr
- Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio
- Implement machine learning algorithms
- In-depth knowledge of fundamental data science concepts through motivating real-world case studies
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. HarvardX’s Data Science certificate prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges. The program covers concepts such as probability, inference, regression, and machine learning and helps you develop an essential skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.
Frequently Asked Questions
Is this really 100% online?
This course is completely online, so you can study from anywhere! All you’ll need is a device with an internet connection, such as a computer or a smartphone. If the course has any live, instructor-led sessions, you may need a microphone and possibly a webcam to fully participate. The instructor will make you aware of this beforehand.