Course Outline

Introduction

  • Overview of Python and its Powerful Ecosystem for Data Analysis

Getting Started

  • Setting up the development environment
  • Installing Python, Numpy, and Pandas
  • Installing Jupyter

Python Programming for Data Analysis

  • Overview of Python syntax
  • Writing and running Python code

Working with Data

  • Importing a dataset
  • Cleaning the data

The Python Data Frame

  • Understanding data frames
  • Manipulating data in a date frame

Gaining Insights from Data

  • Summarizing the data
  • Generating reports
  • Visualizing data

Saving Your Python Code

  • Saving your code in a version control repository
  • Allowing others to access your code

Improving Your Code

  • Testing your code and fixing the errors
  • Tightening your code using an iterative approach

Taking Your Code to Production

  • Uploading your code to a website
  • Automating the executing of your code

Python Programming Best Practices

Summary and Conclusion

Requirements

  • Programming experience in any language

Audience

  • Developers
  • Beginning data scientists
  • Business analysis with technical skills
 28 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 6400 € + VAT*

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