Individual Certificate
Data Science: Capstone
Start today • 15-20 hours a week
Final project to test skills in data science.
Professional Certificate Series
Data Science
The HarvardX Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges
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9 CoursesPrice: $1,333
9 Courses
1 Year & 5 Months
Earn Your Certificate
What You'll Learn
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing.
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 More9 Courses
Beyond our premium learning paths you can still earn certificates
Individual Certificate · Free Audit Learning
Data Science: Visualization
Start today • 1-2 hours a week
Basic data visualization principles and how to apply them with ggplot2
Individual Certificate · Free Audit Learning
Data Science: Inference and Modeling
Start today • 1-2 hours per week
Inference and modeling, widely used statistical data analysis tools
Individual Certificate · Free Audit Learning
Data Science: Probability
Start today • 1-2 hours a week
Learn probability theory using a case study on the financial crisis
Individual Certificate · Free Audit Learning
Data Science: Building Machine Learning Models
Start today • 2-4 hours a week
Build a movie recommendation system and learn data science techniques
Individual Certificate · Free Audit Learning
Data Science: Wrangling
Start today • 1-2 hours a week
Learn process and convert raw data into formats needed for analysis.
Individual Certificate · Free Audit Learning
Data Science: Linear Regression
Start today • 1-2 hours a week
Use R to implement linear regression
Individual Certificate · Free Audit Learning
Data Science: R Basics
Start today • 1-2 hours a week
Build a foundation in R and wrangle, analyze, and visualize data.
Individual Certificate · Free Audit Learning
Data Science: Productivity Tools
Start today • 1-2 hours a week
Learn to keep your projects organized and produce reproducible reports
- Learning Outcomes
Statistical concepts such as probability, inference, and modeling and how to apply them in practice
- Learning Outcomes
Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr, and become familiar with Unix/Linux, git and GitHub, and RStudio
- Learning Outcomes
In-depth knowledge of fundamental data science and machine learning concepts through motivating real-world case studies
The Professional Certificate in Data Science strengthened my analytical thinking and gave me hands-on experience with real-world data problems. I learned to use tools like R, Python, and machine learning techniques to make data-driven decisions. This course boosted my confidence to pursue advanced projects and opened new opportunities in my career.
Adam A.
Student
Thanks again Harvard Online for such an amazing initiative.
Ebenezer A.
The Data Science R program was a great way to fill the gap between my professional and academic experience and gave me the confidence to tackle new challenges.
Radha
The Professional Certificate in Data Science strengthened my analytical thinking and gave me hands-on experience with real-world data problems. I learned to use tools like R, Python, and machine learning techniques to make data-driven decisions. This course boosted my confidence to pursue advanced projects and opened new opportunities in my career.
Adam A.
Student
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Industry Insights
Data Scientists are few in number and high in demand. (source: TechRepublic)
R is listed as a required skill in 64% of data science job postings and was Glassdoor’s Best Job in America in 2016 and 2017. (source: Glassdoor)
Companies are leveraging the power of data analysis to drive innovation. Google data analysts use R to track trends in ad pricing and illuminate patterns in search data. Pfizer created customized packages for R so scientists can manipulate their own data.
32% of full-time data scientists started learning machine learning or data science through a MOOC, while 27% were self-taught. (source: Kaggle, 2017)