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Python for Statistics and Data Visualization

This course teaches practical data analysis using Python, CSV files, statistics, DataFrames, charts, data cleaning, exploratory analysis, probability, inferential statistics, and numerical methods.

1) Download Course ZIP

Download the ZIP file and save it under:

CDL-Python/02-Python-for-Statistic-and-Data-Visualization

Download Course ZIP

2) Student Setup

3) Progress

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Chapter 01 Basic

Chapter-01-Basic
6 Python scripts

A-Data Files

Height-Weight.csvA-DataStudent-Scores.csvA-DataSurvey-Data.csvA-Data

Programs in B-Engines

DonePython ScriptDocumentation
Session1-First-Analysis-V01.py No documentation found
Session1-First-Analysis-V02.py No documentation found
Session1-First-Analysis-V03.py No documentation found
Session1-First-Analysis-V04.py No documentation found
Session2-Descriptive-Statistics-V01.py No documentation found
Session3-Data-Cleaning-V01.py No documentation found

Work Process

  1. Open VS Code.
  2. Select this chapter folder.
  3. Open the B-Engines folder.
  4. Run each numbered Python session in order.
  5. Review outputs in C-Reports or C-Results.
  6. Open the matching HTML documentation when available.

Chapter 02 Advanced A

Chapter-02-Advanced-A
5 Python scripts

A-Data Files

People.csvA-DataSales.csvA-DataSurvey-Data.csvA-Data

Programs in B-Engines

DonePython ScriptDocumentation
Session4-Dataframes-V01.py No documentation found
Session5-Matplotlib-V01.py No documentation found
Session6-Eda-Seaborn-V01.py No documentation found
Session6-Eda-Seaborn-V02.py No documentation found
Session6-Eda-Seaborn-V03.py No documentation found

Work Process

  1. Open VS Code.
  2. Select this chapter folder.
  3. Open the B-Engines folder.
  4. Run each numbered Python session in order.
  5. Review outputs in C-Reports or C-Results.
  6. Open the matching HTML documentation when available.

Chapter 03 Advanced B

Chapter-03-Advanced-B
0 Python scripts

A-Data Files

No A-Data files found.

Programs in B-Engines

DonePython ScriptDocumentation
No Python files found in B-Engines.

Work Process

  1. Open VS Code.
  2. Select this chapter folder.
  3. Open the B-Engines folder.
  4. Run each numbered Python session in order.
  5. Review outputs in C-Reports or C-Results.
  6. Open the matching HTML documentation when available.