An increasing number of higher education institutions are making their courses available online. Institutions like Harvard University were one of the early pioneers of this, launching online platform edX in collaboration with MIT.
HarvardX (Harvard University’s online faculty) offers a wide range of online courses, including some of the best data science courses available.
Given how difficult it usually is to get a physical place at Harvard, taking an online course is the next best way to get ‘Harvard’ on your resumé!
HarvardX Data Science Courses
If you want to start working in data science, enrolling in a HarvardX course is one of the best leg-ups you’ll ever get. Data science is the trend in all areas and one of the most sought after skills in 2020 with a wide range of applications.
With an average annual salary of $95,000, data science offers many promising careers in the form of Data Architects, Business Intelligence Developers, Enterprise Architects, Data Analysts, and many more.
Want to learn more about data science as a career? Check out our What is Data Science guide.
To help you get a head-start, we’ve ranked the top HarvardX data science courses for you to check out.
1. Professional Certificate in Data Science
The wildly popular HarvardX Data Science certificate program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges. It covers covers key concepts like probability, inference, regression, and machine learning.
It’ll also help you develop an essential skill set that includes R programming, data wrangling, data visualization, file organization, git version control, and reproducible document preparation.
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.
2. Data Science: R Basics
In this HarvardX data science course, you’ll dive into R, the most popular programming language for data scientists.
You’ll cover functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You’ll also learn how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data.
Data Science: R Basics
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
3. Data Science: Probability
Probability theory is the mathematical foundation of statistical inference, which is crucial when analyzing data affected that’s by chance. It’s an essential skill for data scientists to have.
During this free HarvardX data science course, you’ll be taught important statistical concepts like random variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem.
Data Science: Probability
Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.
4. Data Science: Machine Learning
In this course, you’ll learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.
You will learn about training data, and how to use a set of data to discover potentially predictive relationships.
You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.
Data Science: Machine Learning
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
5. Principles, Statistical and Computational Tools for Reproducible Data Science
In this intermediate HarvardX data science course, you’ll learn about skills and tools that support data science and reproducible research.
This is important for data scientists who focus on research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.
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.
Want to expand your learning even further? Check out our recommended list of online data science courses, with certificates and short courses from Skillshare, PluralSight, Coursera and more.