Learn how to simulate and visualize data for data science, statistics, and machine learning in MATLAB and Python
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!
Understand different categories of data
Generate various datasets and modify them with parameters
Visualize data using a multitude of techniques
5 Lectures
5 Lectures
7 Lectures
6 Lectures
5 Lectures
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3 Lectures
4 Lectures
1 Lectures
I am a full-time educator and writer, and former professor of neuroscience. I "retired" from that position so I could focus my time and energy creating high-quality educational material just for you.I have 20 years of experience teaching programming, data analysis, signal processing, statistics, linear algebra, and experiment design. I've taught undergraduate students, PhD candidates, postdoctoral researchers, and full professors....
Each code (Python and MATLAB) explanation and relating to some real time example is good...
Beautiful. Complements very nicely other Mike X's courses.
This course motivates students to explore on their own and makes them curious to further deepen what they have learned.
Very interesting and clear videos. Nice to have both Python and MATLAB examples. It will be perfect with some additional MATLAB examples that don't use functions from dedicated toolboxes.
Nice Flow...
Great!
This course is straightforward and well explained.
A well prepared course with comprehensive material included.
Some problems are easy, some are really challenging, but they are never boring.
Well done, Mike!
Best instructor. Great clarity and depth. I am eager to see what the rest of the course holds.
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Adson F. D. R.
Very goog content and clear explanations!