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Udemy - Essential Statistics for Data Science With Python

Category: Other
Type: Tutorials
Language: English
Total Size: 2.1 GB
Uploaded By: freecoursewb
Downloads: 188
Last checked: 2 days ago
Date uploaded: 2 weeks ago
Seeders: 13
Leechers: 1
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Essential Statistics for Data Science With Python

https://WebToolTip.com

Published 8/2025
Created by datascience Anywhere,G Sudheer
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 41 Lectures ( 6h 10m ) | Size: 2.1 GB

Learn Core Statistical Concepts and Apply Them to Real Data with Python

What you'll learn
Explain the role of statistics in data science and why it is essential for data analysis.
Analyze dataset distributions using skewness, kurtosis, and visualization techniques.
Apply probability rules and concepts to model uncertainty and randomness in data.
Use Python (with pandas) to perform descriptive statistical analysis and visualize key insights.
Bridge theoretical concepts with practical coding to prepare for inferential statistics and machine learning.

Requirements
Basic knowledge of Python programming (variables, lists, functions, loops).
Familiarity with Jupyter Notebook or any Python environment.
Very basic understanding of data (rows, columns, datasets).