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Udemy - Master Python for Data Analysis - Build Job-Ready Skills

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Added 1 month ago by freecoursewb in Other
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Udemy - Master Python for Data Analysis - Build Job-Ready Skills (Size: 706.3 MB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Course Introduction
  1. Course Overview & Learning Objectives (Description).html 921.6 B
  1. Course Overview & Learning Objectives.mp4 30.9 MB
  2 - Python Basics
  3 - Working with Data Structures
  4 - Control Structures in Python
  10. Using If Statements for Conditional Logic (Description).html 1 KB
  10. Using If Statements for Conditional Logic.mp4 14.8 MB
  11. Iterating Data with For Loops (Description).html 1 KB
  11. Iterating Data with For Loops.mp4 13.9 MB
  12. While Loops and Loop Control Statements (Description).html 1 KB
  12. While Loops and Loop Control Statements.mp4 13.9 MB
  5 - Data Analysis with Python
  13. The Data Analyst's Workflow in Python (Description).html 1 KB
  13. The Data Analyst's Workflow in Python.mp4 14.2 MB
  14. Fundamentals of Data Manipulation (Description).html 1 KB
  14. Fundamentals of Data Manipulation.mp4 34.4 MB
  15. 15. ecommerce_sales.csv 101.6 KB
  15. Importing Datasets with Pandas (Description).html 921.6 B
  15. Importing Datasets with Pandas.mp4 34.5 MB
  16. Exploring and Profiling Your Data (Description).html 1 KB
  16. Exploring and Profiling Your Data.mp4 55.2 MB
  17. Data Slicing Selecting Rows and Columns (Description).html 1 KB
  17. Data Slicing Selecting Rows and Columns.mp4 44.6 MB
  18. Filtering and Sorting Datasets (Description).html 1 KB
  18. Filtering and Sorting Datasets.mp4 34.8 MB
  19. Data Cleaning and Preprocessing Techniques (Description).html 1 KB
  19. Data Cleaning and Preprocessing Techniques.mp4 56.8 MB
  20. Feature Engineering Creating New Columns (Description).html 1 KB
  20. Feature Engineering Creating New Columns.mp4 62.1 MB
  21. Data Aggregation for Business Insights (Description).html 1 KB
  21. Data Aggregation for Business Insights.mp4 40.9 MB
  22. 22. ecommerce_clean.csv 95.6 KB
  22. 22. ecommerce_customers.csv 7.9 KB
  22. Combining and Merging Datasets (Description).html 1 KB
  22. Combining and Merging Datasets.mp4 53.7 MB
  23. Visualizing Data for Business Impact (Description).html 1.1 KB
  23. Visualizing Data for Business Impact.mp4 52.5 MB
  6. Introduction to Python Lists (Description).html 921.6 B
  6. Introduction to Python Lists.mp4 15.5 MB
  7. Managing Data with Tuples (Description).html 921.6 B
  7. Managing Data with Tuples.mp4 9.1 MB
  8. Utilizing Sets in Python (Description).html 921.6 B
  8. Utilizing Sets in Python.mp4 10 MB
  9. Structuring Data with Dictionaries (Description).html 1 KB
  9. Structuring Data with Dictionaries.mp4 45.6 MB
  3. 3. Google Colab.url 102.4 B
  3. Understanding Variables and Core Data Types (Description).html 1 KB
  3. Understanding Variables and Core Data Types.mp4 17.7 MB
  4. Working with Arithmetic Operators (Description).html 921.6 B
  4. Working with Arithmetic Operators.mp4 12.7 MB
  5. Mastering Logical Operators (Description).html 921.6 B
  5. Mastering Logical Operators.mp4 14 MB
  2. Real-World Applications of Python in Data (Description).html 921.6 B
  2. Real-World Applications of Python in Data.mp4 24.3 MB

Description


Master Python for Data Analysis: Build Job-Ready Skills
https://WebToolTip.com
Published 4/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 1h 20m | Size: 706.34 MB
Lean Python by solving real data problems. Clean, analyze, and visualize data to land a data analyst job.
What you'll learn

Master core Python programming to confidently write clean and efficient code.

Clean and format messy, real-world datasets for accurate business analysis.

Use Pandas to filter, merge, and manipulate data like a professional analyst.

Calculate key business metrics and group data to extract actionable insights.

Build clear data visualizations to uncover trends and communicate results.
Requirements

No prior programming or data analysis experience required. You will learn everything from scratch

A computer with internet access. We use Google Colab, so no complex software installation is needed.

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