5-12 Weeks

Renewable energy's future is bright, yet uncertain. Will it continue to grow rapidly? Is current growth sufficient to achieve climate stabilization? How do related technologies, like electric vehicles and heat pumps, fit in? This course will shed light on the many confusing and at-times inconsistent [...]

The energy revolution in underway. Renewable energy is growing at an astounding pace - notably in electricity. Wind turbines and solar photovoltaic (PV) systems account for most new power plants built worldwide, and are essential to building a low-carbon and sustainable energy future. As a result, [...]

In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R Specialization or IBM Data Analytics with Excel and R Professional Certificate. For this project, you will assume the role [...]

This course is the final course in a three part algebra sequence, In this course, students extend their knowledge of more advanced functions, and apply and model them using both algebraic and geometric techniques. This course enables students to make logical deductions and arrive at reasonable conclusions. [...]

The course teaches engineering scholars how to improve their communication skills, based on theory, examples and practical exercises. Topics include basics of rhetoric (how to be clear), basics of argumentation theory (how to be persuasive), public speaking, grant writing, scientific writing. The main target are engineering scholars; the first 3 [...]

This MOOC is at the junction between the development of Southern countries and sustainable development. It has: 1) a macroeconomic and financial dimension, developed by Gael Giraud and Alain Grandjean; 2) an ecological and climatic dimension, developed by David Claessen and ENS speakers; and 3) a focus on [...]

Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data collection. We’ll end [...]

The book Moneyball triggered a revolution in the analysis of performance statistics in professional sports, by showing that data analytics could be used to increase team winning percentage. This course shows how to program data using Python to test the claims that lie behind the Moneyball story, and to [...]

This course provides an introduction to using Python to analyze team performance in sports. Learners will discover a variety of techniques that can be used to represent sports data and how to extract narratives based on these analytical techniques. The main focus of the introduction will be on the [...]

In this course the learner will be shown how to generate forecasts of game results in professional sports using Python. The main emphasis of the course is on teaching the method of logistic regression as a way of modeling game results, using data on team expenditures. The learner is [...]