Statistical analysis and hypothesis testing in Python

Internship - Python for data science and statistical analysis

Instructor: Pranav Ajeet NerurkarLanguage: English

About the course

Description:

This internship tests your Python programming for data science and statistical analysis. First learn how to use Python libraries such as NumPy, Pandas, Scipy, Statsmodels, Researchpy, Pingouin and Matplotlib for data manipulation, exploration, and visualization. Brainstorm on real world data by diving into statistical analysis techniques using Python to draw meaningful insights from data sets.

Key Highlights:

  • Python programming for data science
  • Statistical analysis using Python
  • Data manipulation with NumPy and Pandas
  • Data visualization with Matplotlib

What you will have to do:

  • Learn Python programming for data science
    Understand the basics of Python programming and its applications in data science
  • Apply statistical analysis techniques with Python
    Learn how to perform statistical analysis using Python libraries
  • Data manipulation and exploration with NumPy and Pandas
    Explore data manipulation and analysis with NumPy and Pandas libraries
  • Data visualization using Matplotlib
    Create insightful visualizations with Matplotlib for effective data communication

Syllabus

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