Description
Python for Data Analysis & Visualization 2022 is a training course on data analysis and visualization with the Python programming language, published by Udemy Academy. Python is one of the most popular programming languages today, which is used in the field of illustration and data analysis.
Many libraries have been written for this purpose using the Python programming language, the most important of which are NumPy, Pandas, Matplotlib, Seaborn, and so on. This training course is divided into three completely separate sections. In the first part, you will get acquainted with the basics of Python programming language version 3 and you will expand your basic knowledge and prerequisites in the field of Python programming.
The second part will focus entirely on data analysis and processing, and you will work with basic libraries and pandas. In the third part, you will get acquainted with the process of final data visualization and various methods and techniques of visualization through various charts and graphs, and you will work with Matplotlib, Matplotlib, and Plotly Express libraries in a completely specialized way.
What you will learn in the Python for Data Analysis & Visualization 2022 course:
- Basics of Python programming language version 3
- Working with various data analysis libraries such as Footprint and Pandas
- Work with various data visualization libraries such as Matplotlib, Matplotlib, and Plotly Express
- Initial installation of the Jupyter Notebooks IDE editor and integrated development environment
Course specifications
Publisher: Udemy
Instructor: Malvik Vaghadia
Language: English
Education Level: Basic to Advanced
Number of Courses: 105
Training Duration: 9 hours and 45 minutes
Python for Data Analysis Course topics on 2022/6
Prerequisites for Python for Data Analysis & Visualization 2022
No prior knowledge required
Course pictures
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
download link
Download Part 1 – 1 GB
Download Part 2 – 1 GB
Download Section 3 – 1 GB
Download section 4 – 194 MB
file password link
Follow On Tumblr
Follow On pinterest
Visit our blog
