Data Analysis with Python Statistics

Master statistics for data analysis using Python to make informed business decisions and drive success.

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Interactive notes

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Visual learning

Watch video tutorials and visualize concepts through interactive diagrams

What You'll Learn

Fundamental statistical concepts and terminology
How to use Python libraries for data analysis
Techniques for data visualization and interpretation
Methods for hypothesis testing and regression analysis
Best practices for communicating data insights

Course Content

14 topics

Understanding Data Types
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Data Analysis Workflow
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Requirements

• Basic understanding of statistics
• Familiarity with Python programming
• Access to a computer with Python installed
• Willingness to learn data visualization tools
• Basic knowledge of Excel or spreadsheets

Target Audience

Business analysts, data scientists, students in business analytics, professionals seeking to enhance their data skills, and anyone interested in data-driven decision making.

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