08.002 Filtering With Comparison Operators

Udemy – 2022 Python Data Analysis & Visualization Masterclass 2021-12

Description

2022 Python Data Analysis & Visualization Masterclass is a data analysis and visualization training course with the Python programming language, published by Udemy Academy. Python is a high-level and multi-purpose programming language that is used in various industries and fields and various frameworks are built on it. Data analysis and visualization can be mentioned among the most important specialized applications of Python. Pandas, Matplotlib and Seaborn are among the most important Python libraries and frameworks in the field of data analysis. Data science is one of the basic and very important sciences that is used in many technology-oriented industries and fields such as machine learning, deep learning, economic analysis, web application development, etc.

The instructor of the course has used his utmost effort and creativity so that the videos of this training course are short and compact and their duration does not exceed 15 minutes. After the end of each educational topic, you will face a set of exercises and targeted problems, the solution of which plays a very important role in the deep understanding of the material. The educational process of the course is completely project-oriented and you will work on real data sets such as Amazon's best-selling products, stock prices in different time periods, historical Bitcoin data, etc. Visualization and graphic drawing of the data in the form of different charts will be carried out in sync with other topics of the course and the user will show the results at the same time as the data analysis.

What you will learn in the 2022 Python Data Analysis & Visualization Masterclass:

• Series and Dataframes in Pandas
• Visualizing information and making various graphs with Seaborn
• Analysis of real information sets in different fields such as stock prices, sales and...
• Drawing different graphs with the Matplot library (Matplotlib)
• Various techniques for organizing, filtering, cleaning, condensing and analyzing data frames
• Hierarchical Indexing _ _ _ 
• Integration of different datasets with the Pandas library
• Making all kinds of information plots

Course details

Publisher: Yodmi
Instructor: Colt Steele
Language: English
Education level: Introductory
Number of lessons: 199
Duration of training: 20 hours and 13 minutes