Digitalization, AI and data science courses Sports jobs

NOW MORE THEN EVER, YOU HAVE THE TIME TO INVEST IN YOURSELF, THIS IS YOUR TIME TO WORK ON YOUR PERSONAL DEVELOPMENT

Right now, we are all living in unprecedented times. We are not sure what reality will look like in 2 months from now. But what we do know is that a lot of people have lost their jobs and the industry will be harder to get in. Therefore we are happy to present this page to you with a lot of knowledge that you can learn, for free! If there has been a good time to invest in yourself and to develop that certain skill you were lacking at your last job interview, then now is your time.

Knowing what the digital, data, AI can do is a must today

Below you will find free courses within the skill communication. Learn the basics of algorithms, learn about AI, computer science and big data. Scroll down to find each topic.

Digitalization AI and Data Science free education courses

Algorithms, Part I

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

Algorithms, Part I

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Artificial Intelligence (AI)

Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.

Artificial Intelligence (AI)

CS50’s AP® Computer Science Principles

This is CS50 AP, Harvard University’s introduction to the intellectual enterprises of computer science and the art of programming for students in high school, which satisfies the College Board’s new AP CS Principles curriculum framework.

CS50’s AP® Computer Science Principles

Ethics in AI and Big Data

Learn how to build and incorporate ethical frameworks in your AI and Big Data technology and business initiatives to add transparency, build trust, and drive adoption.

Ethics in AI and Big Data