Description
Generate and visualize data in Python and MATLAB is a simulation and visualization training course with Python and MATLAB published by Udemy Academy. Data visualization is a relatively basic and valuable skill for data science, machine learning, and statistics engineers, and people working in these fields should be somewhat familiar with different types of charts and visualization methods. Data science is one of the developing and revolutionary fields that is used in most of the parent industries such as marketing, medicine, physics, etc. Most data science courses and educational resources use an incorrect and wrong approach to education. It is a common practice to introduce different methods of data analysis and ignore the applications and uses of each method. The first step in data science is to correctly understand the nature of data and get to know the types of data, and after that, you can easily choose the appropriate and applicable method.
It is possible to create and receive raw and elementary data with different methods. Data can be extracted from various sources such as statistical studies, machine learning based systems, classifications and clustering, information models, equations and parameters. Almost all illustration topics in this course are taught in a completely project-oriented and practical way, and at the end of the course, the student will be able to display his data in the form of one-dimensional, two-dimensional and three-dimensional models. At the end of each educational part of this course, a PDF file will be presented to the student, which contains a number of exercises, educational slides, teacher’s notes and specific explanations.
What courses is this training course for:
- data science
- statistics
- Computer science
- Digital signal processing
- image processing
- biology
- Different branches of engineering
What you will learn in the Generate and visualize data in Python and MATLAB course:
- Familiarity with types of data classification
- Determine data properties
- Build and create various datasets
- Edit and process datasets with different parameters and equations
- Various data visualization techniques and tools
- Probability distribution functions
- trigonometric functions
- Leading models (forward models)
- MATLAB programming
- Python programming
Course details
Publisher: Yudmi
teacher: Mike X Cohen
English language
Training level: introductory to advanced
Number of courses: 46
Training duration: 6 hours and 24 minutes
Course headings
Prerequisites of the course Generate and visualize data in Python and MATLAB
Interest in data
High-school math
Basic programming familiarity (MATLAB or Python)
Familiarity with power spectra from the Fourier transform
Course images
Introduction video of the Generate and visualize data in Python and MATLAB course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
Changes:
The version of 2022/7 compared to 2019/11 has increased by 1 lesson and the duration has decreased by 6 minutes.
download link
Password file(s): www.downloadly.ir
Size
1.97 GB
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