Udemy - Python Data Analysis Bootcamp with Pandas and NLTK

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Udemy - Python Data Analysis Bootcamp with Pandas and NLTK (Size: 2.2 GB)
  0 0 B
  1. About Mammoth Interactive.mp4 8.6 MB
  1. About Mammoth Interactive.srt 1.4 KB
  1. Convert CSV File To A Python List.mp4 95.7 MB
  1. Convert CSV File To A Python List.srt 17.7 KB
  1. Intro To Course And Python.mp4 57.2 MB
  1. Intro To Course And Python.srt 15.3 KB
  1. Project Preview.mp4 19.8 MB
  1. Project Preview.srt 4.9 KB
  1 50 KB
  2 408.2 KB
  10. Conditionals.mp4 38 MB
  10. Conditionals.srt 10.5 KB
  11. If Statement Examples.mp4 118 MB
  11. If Statement Examples.srt 34.3 KB
  12. Loops.mp4 167.1 MB
  12. Loops.srt 46.4 KB
  13. Functions.mp4 86.5 MB
  13. Functions.srt 27 KB
  14. Parameters And Return Values Examples.mp4 78.5 MB
  14. Parameters And Return Values Examples.srt 21.8 KB
  15. Classes And Objects.mp4 223.4 MB
  15. Classes And Objects.srt 53.9 KB
  16. Inheritance Examples.mp4 130.7 MB
  16. Inheritance Examples.srt 27.4 KB
  17. Static Members Examples.mp4 78.6 MB
  17. Static Members Examples.srt 16.5 KB
  18. Summary And Outro.mp4 20.8 MB
  18. Summary And Outro.srt 6.1 KB
  2. How To Learn Online Effectively.mp4 74.1 MB
  2. How To Learn Online Effectively.srt 19.8 KB
  2. Tokenize Text Data.mp4 168.5 MB
  2. Tokenize Text Data.srt 31 KB
  2. Variables.mp4 106.5 MB
  2. Variables.srt 30.6 KB
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  3. Find Most Popular Lemmatized Words.mp4 92.7 MB
  3. Find Most Popular Lemmatized Words.srt 14.6 KB
  3. Source Files.html 0 B
  3. Type Conversion Examples.mp4 59.8 MB
  3. Type Conversion Examples.srt 16.2 KB
  3.1 Source Files.zip 2.1 MB
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  4. Build Dataframes Per Part Of Speech.mp4 34 MB
  4. Build Dataframes Per Part Of Speech.srt 4.9 KB
  4. Operators.mp4 161.4 MB
  4. Operators.srt 44.4 KB
  5. Collections.mp4 41.7 MB
  5. Collections.srt 13.2 KB
  5. Plot Word Frequency.srt 11.8 KB
  5 36.4 KB
  5. Plot Word Frequency.mp4 58 MB
  6. List Examples.mp4 109.9 MB
  6. Source Files.html 0 B
  6 86.1 KB
  6. List Examples.srt 31 KB
  6.1 Source Files.zip 11.3 KB
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  7. Tuples Examples.mp4 52.4 MB
  7. Tuples Examples.srt 13.5 KB
  8. Dictionaries Examples.mp4 87.3 MB
  8. Dictionaries Examples.srt 22.6 KB
  9. Ranges Examples.mp4 53.2 MB
  9. Ranges Examples.srt 13.5 KB
  TutsNode.com.txt 102.4 B
  [TGx]Downloaded from torrentgalaxy.to .txt 614.4 B
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  11 26.7 KB
  12 424.4 KB
  13 492.1 KB
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  17 256.1 KB
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  ▲ 84 total files

Description


Description

Why learn pandas?

If you’ve spent time in spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you!

Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.

Pandas is a powerhouse tool that allows you to do anything and everything with colossal data sets — analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more!

I call it “Excel on steroids”!

Over the course of more than 19 hours, I’ll take you step-by-step through Pandas, from installation to visualization! We’ll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We’ll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.

Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas!

Whether you’re a new data analyst or have spent years (*cough* too long *cough*) in Excel, Data Analysis with pandas and Python offers you an incredible introduction to one of the most powerful data toolkits available today!
Who this course is for:

Anyone looking to deeply understand and master pandas
Anyone interested in mastering data analysis with python
Data analysts and business analysts
Excel users looking to learn a more powerful software for data analysis

Requirements

No necessary experience needed

Last Updated 2/2021

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