12 Free courses from Harvard for you to Upskill yourself

12 Free courses from Harvard for you to Upskill yourself

Harvard is one of the oldest and most prestigious Ivy League university located in Cambridge, Massachusetts, US. From 1636 Harvard is providing high-quality education to thousands of students. And to help out students from all over the world, Harvard also provides a variety of free online courses. We have compiled a few of the top free tech courses for you.

Check it out and start learning!!

(Source - Harvard University)

1) CS50's Introduction to Game Development

Course Duration: 12 weeks, 6-9 hours commitment required per week.

What you will learn? : Principles of 2D and 3D graphics, animation, sound, and collision detection, Unity and love 2D

Difficulty: Intermediate

Open between June 30, 2018 – December 31, 2021

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2) CS50's Web Programming with Python and JavaScript

Course Duration: 12 weeks, 6-9 hours commitment required per week.

What you will learn? : Git, HTML, CSS, APIs, JavaScript, Flask, SQL.

Difficulty: Intermediate

Open July 1, 2018 – December 31, 2021

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3) CS50: Introduction to Computer Science

Course Duration: 12 weeks, 6-9 hours commitment required per week.

What you will learn? : Familiarity in a number of languages, including C, PHP, and JavaScript, SQL, CSS, and HTML. Concepts like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development.

Difficulty: Introductory

Open July 1, 2018 – December 31, 2021

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4) CS50's Introduction to Artificial Intelligence with Python

Course Duration: 7 weeks, 10-30 hours commitment required per week.

What you will learn? : Graph search algorithms. Reinforcement learning, Machine learning, Artificial intelligence principles. How to design intelligent systems,. How to use AI in Python programs.

Difficulty: Introductory

Open April 1, 2020 – December 31, 2021

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5) Data Science: Visualization

Course Duration: 8 weeks, 1-2 hours commitment required per week.

What you will learn? : Data visualization principles. How to communicate data-driven findings. How to use ggplot2 to create custom plots. The weaknesses of several widely-used plots and why you should avoid them.

Difficulty: Introductory

Open July 15, 2020 – January 15, 2021

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6) Data Science: Linear Regression

Course Duration: 8 weeks, 1-2 hours commitment required per week.

What you will learn? : How linear regression was originally developed by Galton. What is confounding and how to detect it. How to examine the relationships between variables by implementing linear regression in R.

Difficulty: Introductory

Open July 15, 2020 – January 15, 2021

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7) Data Science: Machine Learning

Course Duration: 8 weeks, 2-4 hours commitment required per week.

What you will learn? : The basics of machine learning. How to perform cross-validation to avoid overtraining. Several popular machine learning algorithms. How to build a recommendation system. What is regularization and why it is useful?

Difficulty: Introductory

Open July 15, 2020 – January 15, 2021

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8) Data Science: Probability

Course Duration: 8 weeks, 1-2 hours commitment required per week.

What you will learn? : Important concepts in probability theory including random variables and independence. How to perform a Monte Carlo simulation. The meaning of expected values and standard errors and how to compute them in R. The importance of the Central Limit Theorem.

Difficulty: Introductory

Open July 15, 2020 – January 15, 2021

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9) Data Science: Inference and Modeling

Course Duration: 8 weeks, 1-2 hours commitment required per week.

What you will learn? : The concepts necessary to define estimates and margins of errors of populations, parameters, estimates and standard errors in order to make predictions about data. How to use models to aggregate data from different sources. The very basics of Bayesian statistics and predictive modelling.

Difficulty: Introductory

Open July 15, 2020 – January 15, 2021

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10) Data Science: R Basics

Course Duration: 8 weeks, 1-2 hours commitment required per week.

What you will learn? : Basic R syntax, Foundational R programming concepts such as data types, vectors arithmetic, and indexing. How to perform operations in R including sorting, data wrangling using dplyr, and making plots.

Difficulty: Introductory

Open July 15, 2020 – January 15, 2021

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11) Data Science: Productivity Tools

Course Duration: 8 weeks, 1-2 hours commitment required per week.

What you will learn? : How to use Unix/Linux to manage your file system. How to perform version control with git. How to start a repository on GitHub. How to leverage the many useful features provided by RStudio.

Difficulty: Introductory

Open July 15, 2020 – January 15, 2021

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12) Data Science: Wrangling

Course Duration: 8 weeks, 1-2 hours commitment required per week.

What you will learn? : Importing data into R from different file formats, Web scraping, How to tidy data using the tidyverse to better facilitate analysis, String processing with regular expressions (regex), Wrangling data using dplyr, How to work with dates and times as file formats, and text mining.

Difficulty: Introductory

Open July 15, 2020 – January 15, 2021

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For online and offline courses near you from top institutes in Bangalore, visit www.skillatwill.com.

"Push yourself, no one else is going to do it for you"

Written By



Abhishek Patil

Abhishek is a Mechanical Engineer, a tech enthusiast who is motivated to solve the problem of unemployability in India. He also holds a Master’s degree in Innovation Management and Entrepreneurship from Manchester Business School, UK. Prior to founding Skill At Will, he has worked in Daimler India (Mercedes Benz) and Mitsubishi Fuso, Japan in sales and business development functions. He has also worked on several projects in involving Electric Vehicles, Big Data, Business Intelligence and ERP systems, 3D printing etc.

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