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Pandas For Beginners | Free Udemy Course
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Pandas For Beginners | Free Udemy Course

Free $19.99100% off
Price expires 1 year ago or 809 uses

Pandas for Absolute Beginners | Free Udemy Course

4.17
(9 ratings)
3143 students
Created by:
Last updated 2/2023Course Language EnglishCourse Caption English [Auto]Course Length 01:32:06 to be exact 5526 seconds!Number of Lectures 15
This course includes:
  • 1.5 hours hours of on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Welcome to my course on Pandas for beginners. Pandas is a data analysis program built on Python.Interestingly, Pandas has lots of functions to help you analyze, clean and manipulate data. it also comes with great documentation to help programmers and learners when stuck while performing analysis on their data.This course is a very short course to get learners started with the basics in Pandas using or while exploring some of Pandas' very simple data manipulation and analysis methods.These are some simple exercises we would do in the lesson;Creating data frames and working with Pandas seriesInserting and dropping columnsPandas Profiling( This package is very useful since with just a few lines of codes, a generated summary report on your data is achieved).Renaming and Indexing dataFinding unique valuesGet excited about data manipulation, data preparation, sorting, blending, and data cleaning techniques with Pandas Data Frame to transform jumbled data into a final pre-analysis output. Pandas is the most widely used Python data science library for precisely this reason, and data scientists at Google, Facebook, JP Morgan, and virtually every other big company that analyzes data utilize Pandas.At the time of creating this contents, Python 3 was the python version used in the course development.Who this course is for:BeginnersEducatorsCurious about data

Course Content:

Sections are minimized for better readability, click the section title to view the course content

4 Lectures | 27:52
2 Lectures | 16:56
1 Lectures | 09:48
1 Lectures | 08:20
1 Lectures | 08:19
1 Lectures | 01:56
1 Lectures | 03:58
1 Lectures | 05:12
1 Lectures | 01:33
1 Lectures | 05:35
1 Lectures | 02:37
4.17
(9 course ratings)
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