[FREE]Generate and visualize data in Python and MATLAB

Description

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 generate data from the most commonly used data categories for statistics, machine learning, classification, and clustering, 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 or established:

• Data scientist
• Statistician
• Computer scientist (MATLAB and/or Python)
• Signal processor or image processor
• Biologist
• Engineer
• Student
• Curious independent learner!

What you get in this course:

• >6 hours of video lectures that include explanations, pictures, and diagrams
• pdf readers with important notes and explanations
• Exercises and their solutions
• MATLAB code and Python code

With >4000 lines of MATLAB and Python code, this course is also a great way to 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 MATLAB programming. 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!

Who this course is for:

• Data scientists who want to learn how to generate data
• Statisticians who want to evaluate and validate methods
• Someone who wants to improve their MATLAB skills
• Someone who wants to improve their Python skills
• Scientists who want a better understanding of data characteristics
• Someone looking for tools to better understand data
• Anyone who wants to learn how to visualize data