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Python for Data Analysis

  • Number of Courses33 courses
  • Duration31 hours
  • Skill IQ available Skill IQ

Python is one of the most popular and powerful programming languages data analysts use to process, analyze, and visualize data efficiently. Data analysts leverage Python's extensive libraries such as pandas for data manipulation, NumPy for numerical operations, and Matplotlib for creating charts. These tools enable analysts to clean data, perform exploratory data analysis, and generate actionable insights, making Python an essential skill in data-driven industries to support analytics and inform business decisions.

This learning path is intended for anyone who wants to level up their data analysis skills with Python.

Courses in this path

Python: Importing Data

Importing data with Python is an important pre-requisite to actually working with that data in Python. These courses teach you how to read and import data from various sources using Python.

Python: NumPy

NumPy is critical for numerical computations in Python. The courses teach you the foundational concepts necessary before moving on to more complex data manipulation with pandas.

Python: Pandas Essentials

Now that you're comfortable with the basics of Python and NumPy, you can start working on data manipulation and analysis with pandas. These courses cover the essentials of pandas.

Python: Exploratory Data Analysis

Exploratory Data Analysis (EDA) with Python is the process of analyzing data and summarizing its main characteristics in a visual manner. As you apply EDA techniques to your work, you'll be able to derive insights and patterns from data. The courses in this section teach you foundational EDA techniques.

Python: Matplotlib

Matplotlib is a fundamental plotting library in Python. The courses in this section teach you core Matplotlib concepts so you can start visualizing your data and findings more effectively.

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