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Data Science Courses
Master Data Analysis with Python - From Beginner to Pro
0 students
Last updated
Aug 2025
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Overview
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About the course
Master Data Analysis with Python - From Beginner to Pro
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Course content
Sections:
2
•
Activities:
0
•
Resources:
17
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Section 1
Introduction
001 Introduction gveZ gitir
002 Variables Data Types R1eW gitir
003 List Dictionary ENjM gitir
004 Loops Conditionals kHPu gitir
005 Simple Python calculations and list Iteration 6KTy gitir
006 Introduction to pandas and Data Frames 2rBW gitir
007 Load and Explore a Simple Dataset e g Titanic or Iris QMmc gitir
008 Data Cleaning and Preparation paK3 gitir
009 Handling Missing Data NaN Filtering Data using Conditions LSke gitir
010 Sorting and Indexing and Creating new Columns 1Q2u gitir
011 Data Type Conversion Cleaning Messy Dataset Zgnk gitir
012 EDA and Data Distribution dONN gitir
013 Grouping and Aggregating groupby Value Counts and Unique Values 9baj gitir
014 Simple Narrative Using Markdown and Code Rvnd gitir
Section 2
Project
015 Capstone Project aI8U gitir
016 Class Project 1 I9wx gitir
017 Class Project 2 N5V3 gitir
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Master Data Analysis with Python - From Beginner to Pro
Course modified date:
11 Aug 2025
Master Data Analysis with Python - From Beginner to Pro
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