Learn fundamental concepts of single-variable calculus and ordinary differential equations, as well as their applications in engineering fields. Apply mathematical skills to model and solve engineering problems. How do electrical engineers find out all the currents and voltages in a network of connected...

Solve a real-world data science problem in this capstone project for the Microsoft Professional Program in Data Science Showcase the knowledge and skills you've acquired during the Microsoft Professional Program for Data Science, and solve a real-world data science problem in this program capstone project...

Showcase the knowledge you acquired in the Data Analysis MPP in this Capstone. Apply your skills to a real-world data set to solve analytics problems and deliver analyses and analytic artifacts that are tested and scored to determine your grade. This Capstone uses a data set from a real-world scenario...

Solve a real-world artificial intelligence problem in this capstone project for the Microsoft Professional Program in AI Showcase the knowledge and skills you've acquired during the Microsoft Professional Program for Artificial Intelligence, and solve a real-world AI problem in this program capstone...

Validate the skills you learned in the Microsoft Professional Program for Big Data. The Microsoft Professional Program for Big Data is a comprehensive curriculum that teaches you how to build big data solutions. In this capstone project, you will undertake challenges to design, implement, and document...

Use data analysis to gather critical business insights, identify market trends before your competitors, and gain advantages for your business. In our information age, companies have access to unprecedented amounts information on customers--their behaviors, interests, and buying habits--and...

Examine data drawn from allied fields of business such as Finance and HR, and learn how to simulate data to follow a specified distribution. Statistics is a versatile discipline that has revolutionized the fields of business, engineering, medicine and pure sciences. This course is Part 2 of a 4-part...

Learn how to localize and track dynamic objects with a range of applications including autonomous vehicles Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment. In this course, we will teach you the fundamentals of multi-object tracking for automotive...

Principles of Reactive Programming in Scala. Reactive programming is a set of techniques for implementing scalable, resilient and responsive systems. The basic building-block of such systems is event handlers. This course teaches how to implement reactive systems in Scala by using high-level abstractions...

Take a dive and expand your knowledge about drones en drone technology. Learn how to prepare and execute a flight mission with an Unmanned Aerial Vehicle (UAV) and how to use, process and understand the collected drone data for your own applications. We are all getting familiar with the image of a drone...

Learn how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform. In data science, data is called “big” if it cannot fit into the memory of a single standard laptop or workstation. The analysis of big datasets requires using a cluster of tens, hundreds or thousands...

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...

A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning. The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. The goal of this course, part of the...

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...

Learn fundamental algorithms for sensor fusion and non-linear filtering with application to automotive perception systems.    In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate...

In order to understand most phenomena in the world, we need to understand not just single equations, but systems of differential equations. In this course, we start with 2x2 systems. Differential equations are the language of the models we use to describe the world around us. Most phenomena require not...

Learn how to use regression and Bayesian inference to build statistical predictive models. In this course, you will learn about two key predictive modelling techniques: linear and logistic regression, and look at several relevant applications to see how they can be used in real-world scenarios...

Learn about manufacturing systems and ways to analyze them in terms of material flow and storage, information flow, capacities, and times and durations of events, especially random events. In this course, part of the Principles of Manufacturing MicroMasters program, you will learn how to analyze manufacturing...

Learn Python. Create the insights needed to compete in business. This course provides you with the skills to build a predictive model using Python. You will learn the full lifecycle of building the model. First, you'll understand the data discovery process and discover how to make connections between...

This course will focus on the fundamentals of procedural programming in 3D. You’ll learn to write computational procedures using data structures and control-flow statements to automate the production of geometric models. The first in our “Spatial Computational Thinking” program, this “Procedural Modelling...