Data science is quickly becoming one of the most important skills in industry, academia, marketing, and science. Most data-science courses teach analysis methods, but there are many methods; which method do you use for which data?The answer to that question comes from understanding data. That is the focus of this course.

What you will learn in this course:

You will learn how to generatedata fromthe most commonly used data categoriesfor statistics, machine learning, classification, andclustering,using models, equations, and parameters. This includes distributions, time series, images, clusters, and more. You will also learn how to visualize data in 1D, 2D, and 3D.

All videos come with MATLAB and Python code for you to learn from and adapt!

This course is for you if you are an aspiring orestablished:

• Data scientist

• Statistician

• Computer scientist (MATLAB and/or Python)

• Signal processoror image processor

• Biologist

• Engineer

• Student

• Curious independent learner!

What you get in this course:

• >6 hours ofvideo lectures that include explanations, pictures, anddiagrams

• pdf readers with important notes and explanations

• Exercises and their solutions

• MATLAB code andPython code

With >4000 lines of MATLAB and Pythoncode,this course is also a great wayto improve your programming skills, particularly in the context of data analysis, statistics, and machine learning.

What do you need to know before taking this course?

You need some experience with either Python or MATLABprogramming. You don't need to be an expert coder, but if you are comfortable working with variables, for-loops, and basic plotting, then you already know enough to take this course!