• Anytime
    Application Deadline
  • 189 days
    Duration
EdX is an online learning platform trusted by over 12 million users offering the Data Science Professional Certificate in collaboration with Harvard University - HarvardX. Learn key data science essentials, including R and machine learning, through real-world case studies to jumpstart your career as a data scientist.

About

The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. The Harvard University - HarvardX Data Science Professional Certificate program, which is offered by EdX, 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. Furthermore, HarvardX has partnered with DataCamp for all assignments, which use code checking technology that will permit you to get hands-on practice during the courses.

Job Outlook

  • 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)
  • Data Scientists are few in number and high in demand. (source: TechRepublic)

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

Detailed Programme Facts

  • Programme intensity Part-time
    • Average part-time duration 189 days
    • Intensity 2 hrs/week
    • Part-time variant
      Flexible
    • Duration description
      Average Length: 2-8 weeks per course Effort: 1-20 hours per week, per course
  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme Structure

Courses include:

  • Data Science: R Basics
  • Data Science: Visualization
  • Data Science: Probability
  • Data Science: Inference and Modeling
  • Data Science: Productivity Tools
  • Data Science: Wrangling
  • Data Science: Linear Regression
  • Data Science: Machine Learning
  • Data Science: Capstone

Lecturers

  • Rafael Irizarry - Professor of Biostatistics, Harvard University

English Language Requirements

This programme may require students to demonstrate proficiency in English.

Tuition Fee

  • International

    491 USD/full
    Tuition Fee
    Based on the original amount of 491 USD for the full programme and a duration of 189 days.
  • National

    491 USD/full
    Tuition Fee
    Based on the original amount of 491 USD for the full programme and a duration of 189 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
5% discount coupon: Z7LZNQ4TN3B2JTWU valid for any free course + certificate upgrade

Funding

Check the programme website for information about funding options.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

The Global Study Awards: get funded with up to £10,000 to study abroad

Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.