Data-Oriented Python Programming and Debugging Specialization

Write and systematically debug Python code. Develop readable and reproducible Python code while investigating, manipulating, and analyzing real-world data using Python libraries.

Instructors: Anthony Whyte +2 more

What you'll learn

  •   Effective use of modules, functions, and object methods in data-driven computing.
  •   Competent independent debugging and self-help skills in Python.
  •   Proficient programming with common data structures such as arrays and DataFrames using libraries like NumPy and pandas.

    • Skills you'll gain

  •   NumPy
  •   Debugging
  •   Pandas (Python Package)
  •   Statistical Inference
  •   Data Manipulation
  •   Statistics
  •   Programming Principles
  •   Large Language Modeling
  •   Statistical Methods
  •   Python Programming
  •   Probability
  •   Probability Distribution

    • Specialization - 4 course series

    Perform Python debugging assignments on real data sets using Jupyter notebooks. Build your skills through debugging challenges and practice labs, using data sets from sports, weather, movies, and more. Complete a capstone project showcasing your skills as a data-oriented debugger using a transportation data set.

    NumPy and Pandas Basics for Future Data Scientists

    Statistics with Python Using NumPy, Pandas, and SciPy

    Python Debugging Capstone Project: Fixing and Extending Code

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