Description
Generate and visualize data in Python and MATLAB is a data simulation and illustration course with Python and MATLAB published by Udemi Academy. Data visualization is a relatively basic and valuable skill for data science engineers, machine learning, and statistics, and people working in these fields should be somewhat familiar with different types of charts and different methods of illustration.
Data science is one of the evolving and revolutionary disciplines that is used in most of the parent industries such as marketing, medicine, physics, and so on. Most data science courses and resources use the wrong approach to teaching. It is a common practice to introduce different methods of data analysis and to completely ignore the applications and uses of each method. The first step in data science is to understand the nature of data and familiarity with data types, and then you can easily choose a suitable and practical method.
It is possible to create and receive raw and basic data in different ways. Data can be extracted from various sources such as statistical studies, machine learning-based systems, classifications and clusters, 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 their data in the form of one-dimensional, two-dimensional, and three-dimensional models. At the end of each course, a pdf file will be provided to the student that includes a number of exercises, training slides, instructor notes, and specific explanations.
What courses does this course apply to:
- Data science
- statistics
- Computer Science
- Digital signal processing
- image processing
- biology
- Various branches of engineering
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What you will learn in the Generate and visualize data in Python and MATLAB course:
- Familiarity with different types of data classification
- Determine data properties
- Build and create various datasets
- Editing and processing datasets with different parameters and equations
- Various data visualization techniques and tools
- Probability distribution functions
- trigonometric functions
- Forward models _
- MATLAB programming
- Python programming
Course specifications
Publisher: Udemi
Instructor: Mike X Cohen
Language: English
Education Level: Basic to Advanced
Number of Courses: 45
Training Duration: 6 hours and 30 minutes
Course topics on 2022/1
Generate and visualize data requirements in Python and MATLAB
Interest in data
High-school math
Basic programming familiarity (MATLAB or Python)
Familiarity with power spectra from the Fourier transform
Generate and visualize data in Python Course pictures
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Generate and visualize data in Python download link
Download Part 1 – 1 GB
Download Part 2 – 974 MB
file password link
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