Udemy - 500 Exercises To Master Python Pandas
- Category Other
- Type Tutorials
- Language English
- Total size 3.2 GB
- Uploaded By freecoursewb
- Downloads 504
- Last checked 1 day ago
- Date uploaded 2 years ago
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Infohash : E270567D1DB93A935150BC5A8E43B9C51A31DACD
500 Exercises To Master Python Pandas 
https://DevCourseWeb.com
Published 6/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.19 GB | Duration: 7h 57m
Learn Python Pandas by solving exercises on data cleaning, data analysis, data filtering, and more.
What you'll learn
Perform data cleaning and manipulation tasks with Pandas
Analyze data and extract insights using Pandas
Reshape and manipulate Pandas data structures
Learn Python basics
Requirements
Basic experience with the Python programming language
Basic knowledge of data types (strings, integers, floating points, booleans)
Basic knowledge of Python built-in data structures (list, tuple, dictionary)
Files:
[ DevCourseWeb.com ] Udemy - 500 Exercises To Master Python Pandas- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction
- 1 - Introduction.mp4 (32.7 MB)
- 2 - Course structure and installation.mp4 (19.9 MB)
- 2 - Lecture notebook.txt (0.1 KB)
- 3 - Lecture notebook.txt (0.1 KB)
- 3 - Reading data.mp4 (68.3 MB)
- 4 - Exploring a DataFrame.mp4 (43.4 MB)
- 4 - Lecture notebook.txt (0.1 KB)
- 5 - Data types.mp4 (87.8 MB)
- 5 - Lecture notebook.txt (0.1 KB)
- 6 - Column operations.mp4 (236.6 MB)
- 6 - Lecture notebook.txt (0.1 KB)
- 7 - Date manipulation.mp4 (181.9 MB)
- 7 - Lecture notebook.txt (0.1 KB)
- 8 - Lecture notebook.txt (0.1 KB)
- 8 - String manipulation.mp4 (154.9 MB)
- 9 - Categorical data.mp4 (74.1 MB)
- 9 - Lecture notebook.txt (0.1 KB)
- 10 - Lecture notebook.txt (0.1 KB)
- 10 - Missing values.mp4 (144.8 MB)
- 11 - Lecture notebook.txt (0.1 KB)
- 11 - loc and iloc methods.mp4 (146.7 MB)
- 12 - Filtering DataFrames.mp4 (240.7 MB)
- 12 - Lecture notebook.txt (0.1 KB)
- 13 - Combining DataFrames.mp4 (120.4 MB)
- 13 - Lecture notebook.txt (0.1 KB)
- 14 - Lecture notebook.txt (0.1 KB)
- 14 - Merging DataFrames.mp4 (348.6 MB)
- 15 - Lecture notebook.txt (0.1 KB)
- 15 - Reshaping DataFrames.mp4 (101.5 MB)
- 16 - Data analysis.mp4 (246.9 MB)
- 16 - Lecture notebook.txt (0.1 KB)
- 17 - Data visualization.mp4 (89.8 MB)
- 17 - Lecture notebook.txt (0.1 KB)
- 18 - Lecture notebook.txt (0.1 KB)
- 18 - Time series analysis with Pandas.mp4 (156.4 MB)
- 19 - Data cleaning and analysis 1 obesity dataset.mp4 (306.5 MB)
- 19 - Lecture notebook.txt (0.2 KB)
- 20 - Data cleaning and analysis 2 customer churn dataset.mp4 (165.4 MB)
- 20 - Lecture notebook.txt (0.2 KB)
- 21 - Lecture notebook.txt (0.1 KB)
- 21 - Python dictionaries with Pandas.mp4 (77.9 MB)
- 22 - Lecture notebook.txt (0.1 KB)
- 22 - Pandas pipelines.mp4 (72.0 MB)
- 23 - Lecture notebook.txt (0.1 KB)
- 23 - Styling DataFrames.mp4 (79.7 MB)
- 24 - Functions not to forget.mp4 (71.1 MB)
- 24 - Lecture notebook.txt (0.1 KB)
- Bonus Resources.txt (0.4 KB)
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