The Harvard Data Science Online Course requires no background in computer science or statistics. You do need to be comfortable with analyzing data and running statistical analyses. More interestingly, it offers you hands-on experience using popular data science tools like R and SQL.
This Harvard-quality online course will help you learn the basics of data science. Dave will teach you everything you need to know, including statistical problem solving, data visualization, and machine learning. Data scientists already use advanced algorithms and methods to solve problems in their professional life. Thanks to this course, the same algorithms and methods can be applied to tackle your day-to-day personal problems as well.
Learning Data Science? Here is Harvard’s free online course. It is a 10-week course, which includes interesting lectures. Of all the courses I have taken, this course has been the most friendly to me. Do not be afraid, it is fun. I am all the way down the first week, and it was fun and exciting. You should not miss this chance.
Our statistics courses are designed for people who want to learn data science and apply it to real-life business cases. We teach courses regularly in the following topics:
- Harvard T.H. Chan School of Public Health
What 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
About this series
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. The HarvardX Data Science program 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.
In each course, we use motivating case studies, ask specific questions, and learn by answering these through data analysis. Case studies include: Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems.
Throughout the program, we will be using the R software environment. You will learn R, statistical concepts, and data analysis techniques simultaneously. We believe that you can better retain R knowledge when you learn how to solve a specific problem.LEARN MOREon