2 minute read  written by  . Published on August 30, 2017

Neural Networks and Deep Learning
deeplearning.ai via Coursera
If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities.
12th Sep, 2017

Speaking to inspire: Crafting ceremonial speeches with values and storytelling 
University of Washington via Coursera
This course gives you a method for preparing and delivering speeches that inspire and entertain. By the end of this course, you should be able to compose and deliver moving speeches that praise core audience values through evidence, storytelling, and humor.
12th Sep, 2017

Using Creative Problem Solving
National Chiao Tung University via FutureLearn
Learn how to solve everyday problems using creativity with this online course about hands-on creative problem solving.
25th Sep, 2017

Psychology of Personal Growth
The Hong Kong University of Science and Technology via edX
Learn to understand personal growth from a comparative perspective.
5th Sep, 2017

Network Security
Rochester Institute of Technology via edX
Learn the process of network security, including intrusion detection, evidence collection, network auditing, and contingency planning against attacks.
26th Sep, 2017

Understanding Your Data: Analytical Tools
University of Virginia via Coursera
We will walk you through the steps of conducting multilevel analyses, using a real dataset, and provide articles and templates designed to facilitate your learning. You’ll leave with the tools you need to analyze and interpret the results of the datasets you collect as a researcher.
28th Aug, 2017

Introduction to solar cells
Technical University of Denmark (DTU) via Coursera
In the course you will learn about solar cell history, why we need solar energy, how solar cells produce power, and how they work.
4th Sep, 2017

Introduction to Probability: Part 1 – The Fundamentals
Massachusetts Institute of Technology via edX
This is Part 1 of a 2-part sequence on the basic tools of probabilistic modeling. Part 1 introduces the general framework of probability models, multiple discrete or continuous random variables, expectations, conditional distributions, and various powerful tools of general applicability.
5th Sep, 2017

Data, Models and Decisions in Business Analytics
Columbia University via edX
Learn fundamental tools and techniques for using data towards making business decisions in the face of uncertainty.
18th Sep, 2017

Structuring Machine Learning Projects
deeplearning.ai via Coursera
You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team’s work, this course will show you how.
12th Sep, 2017

We compile this list based on how many Class Central users have added a particular course to MOOC Tracker, our watchlist feature (courses have been added more than 2.0M times to MOOC Tracker). Learn more about MOOC Tracker. Courses that have been offered before are not included in this list.