HarvardX offers its data science courses for free
Big data has an increasingly important role to play in business processes as organisations are moving rapidly towards digitalisation and automation.
Data science skills is pivotal in helping businesses to streamline processes and acquire new customers and in order to remain competitive, businesses need innovative technology to gain insights into a large pool of data in real-time.
Upskill yourself in data science with free online courses from Harvard University with HarvardX
According to online job site, Glassdoor, data scientist has been named the number one job in the United States and have an average compensation of $120,000 per year.
Data Science: Probability is a free, introductory course that teaches important data science concepts such as variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem.
The topics covered in this eight-week course will cover the statistical concepts that are fundamental to conducting statistical tests on data to improve data analysis.
Harvard offers another introductory course, Data Science: Linear Regression which will teach learners how to use R to implement linear regression, which is one of the most common statistical modeling approaches in data science.
Individuals interested in developing basic skills in R programming and want to learn how to wrangle, analyse, and visualise data can enrol in the Data Science: R Basics course.
This course acts as a foundation for learners who want to prepare themselves for more in-depth courses that cover topics such as probability, inference, regression, and machine learning.
Learners will develop a skill set that includes R programming, data wrangling with dplyr, data visualisation with ggplot2, file organisation with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.
Learners can also develop their skills in inference and modeling, two of the most widely used statistical tools in data analysis through Harvard’s Data Science: Inference and Modeling course.
This course will teach learners about the important concepts that will help them to define estimates and margins of errors and learn how you can use these to make predictions relatively well and also provide an estimate of the precision of forecasts.
The most popular data science methodologies come from machine learning and Data Science: Machine Learning is a course that teaches learners about training data, and how to use a set of data to discover potentially predictive relationships.
Data Science: Productivity Tools is another free course offered by the university that teaches learners how to keep projects organised and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.
Another introductory course offered by the university online for free is Data Science: Wrangling. This introductory course can be completed in eight weeks and covers several standard steps of the data wrangling process such as importing data into R, tidying data, string processing, HTML parsing, working with dates and times, and text mining.
Knowing how to wrangle and clean data is an important skill required by data scientists that will enable them to make critical insights.
Data scientists who are looking for advanced courses in data science can opt for Harvard’s High-Dimensional Data Analysis.
This four-week course is available for free and teaches several techniques that are widely used in the analysis of high-dimensional data.