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2/13/2021
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The Complete Pandas Bootcamp 2020: Data Science with Python is a comprehensive Pandas library training course on Python data science. Today, Python is a great data science environment with a variety of tools in statistics, finance, and machine learning, and Pandas is at the heart of it all; Therefore, mastering this library is one of the essential skills of this work. This library enables you to manage your data and prepare it for statistical analysis, machine learning, and more. The course also teaches other libraries used with Pandas, such as Numpy, Scipy and Scikit-Learn for machine learning and statistical and practical calculations, and Matplotlib and Seaborn for data visualization.
This step-by-step tutorial, in 4 sections, introduces you to everything these libraries can do using real data. Complete training in the basics of Pandas in Section 1, demonstrate and fully implement the workflow and data flow, including importing, clearing, grouping, etc. in Section 2, and applying the skills taught in completing a practical project used in Data science in section 3 are the main content of this course. Finally, in Section 4, you will learn how to work with financial time series data. You do not need to be completely proficient in Python to learn Pandas, but some basics of the language such as data type, simple operations, and numpy arrays are required, and this course will teach you these prerequisites in a 4-hour section.
Acquire data analysis and management skills
Learn and practice all the methods used in Pandas
Complete mastery of a machine learning project with Pandas, Scikit-Learn and Seaborn
Import, clean, combine and prepare cluttered data
Analyze and visualize data using Pandas, Matplotlib and Seaborn
Import financial data from the web and analyze it with Pandas
Transfer from Pandas 0.X to the new version 1.0
Avoid common mistakes and fix mistakes
And …
Anyone who wants to get into data science, Pandas are the key to everything
Data science professionals who want to improve their data manipulation and management skills
Anyone who wants to change their data-driven projects from Excel to a more powerful tool
Financial or investment specialists for whom Excel has limitations
Publisher: Udemy
Instructor: Alexander Hagmann
English language
Level of training: from basic to advanced
Number of lessons: 307 lessons in 27 sections
Duration: 32h 2m
A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
An internet connection capable of streaming videos.
Ideally some Spreadsheet Basics/Programming Basics (not mandatory, the course guides you through the basics)
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
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