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 Duration 21 hours

Course Outline

Introduction

  • Overview of Python and its robust ecosystem for data analysis

Getting Started

  • Configuring the development environment
  • Installing Python, Numpy, and Pandas
  • Installing Jupyter

Python Programming for Data Analysis

  • Overview of Python syntax
  • Writing and executing Python code

Working with Data

  • Importing datasets
  • Data cleansing procedures

The Python Data Frame

  • Understanding data structures
  • Manipulating data within a data frame

Gaining Insights from Data

  • Data summarization techniques
  • Generating reports
  • Data visualization methods

Saving Python Code

  • Storing code in a version control repository
  • Enabling code access for authorized users

Improving Code

  • Code testing and error resolution
  • Optimizing code through iterative refinement

Deploying Code to Production

  • Deploying code to a web server
  • Automating code execution processes

Python Programming Best Practices

Summary and Conclusion

Requirements

  • Programming experience in any language

Audience

  • Developers
  • Entry-level data scientists
  • Business analysts with technical proficiency

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