Top online data science courses offered by Harvard University

Top online data science courses offered by Harvard University

Top online data science courses offered by Harvard University
You may be finding it difficult to make time from your hectic daily schedule to apply for a data science course to expand your knowledge in the field. We are here to tell you that you need not worry about that any longer. Harvard University offers a variety of online data science courses to help you study from the comfort of your home. Let’s take a look at some of these  courses offered by Harvard University, one of the most prestigious institutes of the country:

  • Data Science: R Basics
    A free, self-paced course with a video transcript offered at the “Introductory” level, this course requires your commitment for 1-2 hours every week for 8 weeks to complete it. The course includes the study of foundational R programming concepts like indexing, vector arithmetic, and data types. Additionally, you will learn the basic R syntax and how to conduct operations like making plots, data wrangling, and sorting in R.
  • Principles, Statistical and Computational Tools for Reproducible Science
    Another free, self-paced course with an English video transcript, this is an 8-week course offered at the “Intermediate” level. It requires you to dedicate at least 3-8 hours every week for timely completion. Among other things, you will learn statistical methods for reproducible data analysis, fundamentals of reproducible science using case studies that illustrate various practices, and understand a series of thought patterns, concepts, statistical and computational tools, and analysis paradigms.
  • Data Science: Probability
    A free, self-paced course with a video transcript, this is an 8-week online data science course offered by Harvard University at the “Introductory” level. It is recommended for you to dedicate at least 1-2 hours per week to complete this course on time. It will teach you the importance of the Central Limit Theorem, how to perform a Monte Carlo simulation, the significance of standard errors and expected values, and the important concepts in probability theory including independence and random variables.
  • Data Science: Inference and Modelling
    This 8-week long free, self-paced course is offered by the Harvard University with a video transcript at the “Introductory” level. It requires you to give at least 1-2 hours a week to complete it. The course covers the basics of predictive modeling and Bayesian statistics, how to utilize models to aggregate data from various sources, and concepts to define estimates and margins of parameters and errors of populations.