This course is an introduction to linear algebra. You will discover the basic objects of linear algebra – how to compute with them, how they fit together theoretically, and how they can be used to solve real problems. Linear algebra is at the core of all of modern mathematics, and is used everywhere...

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio. A typical data analysis project may involve several parts, each including several data files and different scripts with code. Keeping all this organized can be challenging. Part of our Professional...

Learn inference and modeling, two of the most widely used statistical tools in data analysis. Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a motivating case...

Build a foundation in R and learn how to wrangle, analyze, and visualize data. The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you'll use a real...

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science. Linear regression is commonly used to quantify the relationship between two or more variables. It is also used to adjust for confounding. This course, part ofourProfessional Certificate...

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques. Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it...

Learn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008. In this course, part of our Professional Certificate Program in Data Science,you will learn valuable concepts in probability theory. The motivation for this course is the circumstances...

Learn basic data visualization principles and how to apply them using ggplot2. As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. We will use three motivating examples and ggplot2, a data visualization package...

The United Nations Sustainable Development Goals are an ambitious global agenda for prosperity, people, and planet. But how do we know if we are on track to achieve the SDGs? Which Goals should different stakeholders prioritize? And what kind of data do we need to ensure that no one is left behind? Sustainable...

Learn how to design a quantitative market research project, and implement specific methods, interpret data and come up with marketing decisions. Marketing research is crucial to marketing managers, as it helps answer crucial marketing questions using data. In this course, we introduce quantitative marketing...

Learn the mathematics behind linear algebra and link it to matrix software development. Linear Algebra: Foundations to Frontiers (LAFF) is packed full of challenging, rewarding material that is essential for mathematicians, engineers, scientists, and anyone working with large datasets. Students appreciate...

Learn to analyse contemporary macroeconomic policy issues and their impacts on business and on society. This course looks into what the Aggregate Demand Aggregate Supply (ADAS) model is and how it can help you understand what causes real GDP to deviate from its natural level. This course, regardless...

Apply your predictive modelling acumen in a business case setting. The final project brings together the skills and knowledge acquired throughout the MicroMasters programme. You will draw on your knowledge of data analysis techniques to demonstrate your capacity to deal effectively with current job market...

Learn to apply formal methods to systematically develop correct, loop-based programs, an essential skill for computer programmers. Is my program correct? Will it give the right output for all possible permitted inputs? Computers are now essential in everyday life. Incorrect programs lead to frustration...

Learn advanced linear algebra for computing. Linear algebra is one of the fundamental tools for computational and data scientists. In Advanced Linear Algebra: Foundations to Frontiers (ALAFF), you will build your knowledge, understanding, and skills in linear algebra, practical algorithms for matrix...

Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights. Analytical models are key to understanding data, generating predictions, and making business decisions. Without models it’s nearly impossible to gain insights from data...

This course prepares students to understand business analytics and become leaders in these areas in business organizations. Today, businesses, consumers, and societies leave behind massive amounts of data as a by-product of their activities. Leading-edge companies in every industry are using analytics...

Enter the world of signal processing: analyze and extract meaning from the signals around us! Technological innovations have revolutionized the way we view and interact with the world around us. Editing a photo, re-mixing a song, automatically measuring and adjusting chemical concentrations in a tank...

Learn the methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest, and then assess that knowledge-- Part of the MITx MicroMasters program in Statistics and Data Science. *Enrollment for this course will open on July 20, 2020 * To learn more about...

Learn about various models, methods and software tools to help make better decisions for system design in manufacturing systems and supply chains.. This course was formerly known as Supply Chains for Manufacturing II. As part of the Principles of Manufacturing MicroMasters program, this course focuses...