Python for Data Analysis

Use Pandas and visualization libraries to clean, analyze, and present data insights.

Intermediate 5(1 Ratings) 2 Students enrolled English
Created by James Chen
Last updated Wed, 03-Jun-2026
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Course overview

Practical Python for marketing, operations, and product teams using real sample datasets.

What will i learn?

  • Clean real-world datasets
  • Run group-by analysis
  • Create insightful charts
  • Document findings in a notebook
Requirements
  • Basic computer literacy
Curriculum for this course
5 Lessons 93:35:00 Hours
Python Data Stack
3 Lessons 53:45:00 Hours
  • Environment setup
    Preview 10:00
  • Pandas data frames
    24:00
  • Cleaning messy datasets
    19:45
Analysis & Visualization
2 Lessons 39:50:00 Hours
  • Aggregations and pivots
    21:30
  • Charts that tell a story
    18:20

Frequently asked question

Python setup?
Covered in Lesson 1.
Real data?
Yes—retail and HR samples included.
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About instructor

James Chen

Lead Software Engineer

4 Reviews | 4 Students | 3 Courses
JavaScript Python AWS React
Student feedback
5
1 Reviews
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Reviews

  • Nina Patel
    Pandas section finally clicked for me. Great real datasets.
Preview this course
$119.99
Includes: