Mike X Cohen
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.
Instructor Details
Courses : 5
Specification: Generate and visualize data in Python and MATLAB
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9 reviews for Generate and visualize data in Python and MATLAB
Add a review
| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 6.5 hours |
| Year | 2021 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$14.99
Adrian Quiroz –
Hi Mike. The course is very effective in providing good inputs on how to treat each data with various approaches to properly analyzed it. Thank you very much for this good course. Good job!
Guruprasad –
First of all the course resembles the title, which means you will not be disappointed buying this course. A sound explanation of concepts which can be easily understood and then used in your data analysis, thanks to the well documented Matlab code.
Wei Tsung –
good course , some part wasn’t clear though
Rab Nawaz –
Working in a data analysis environment, this course seems a best fit for me.
Rezki Yuniarti –
I like how the lecturer speak clearly. I am not an english speaker. but i understand what Dr.Mike’s talking about. thank you
Igor –
Improve my skills of better understanding and implementing data analysis.
David Ochoa –
Muy buen curso, bien explicado el c digo tanto en Matlab como en Python
Yangjing –
It meets my study requirements, very good
John Behr –
I am in the situation that Mr. Cohen described in lecture three. I am learning data science and only reacting to the data that I am presented. In laying out the why simulate data, I feel he is addressing my desire to understand the mechanics of data analysis and get me beyond reacting to the data that I’m presented.