Data Science

Practical Data Analysis with Python

You will clean and model data with Python, communicate trends with visualizations, and package findings in a format product and business teams can act on immediately.

Level: Beginner

Duration: 16 hours

Rating: 4.6

Reviews: 426

Enrollment

Free

Curriculum

  • Lesson 1

    Notebook Workflow and Data Intake

    Set up reproducible data workflows and load tabular datasets safely.

    22 min
  • Lesson 2

    Cleaning Data with Pandas

    Handle nulls, inconsistent types, and outliers with robust transforms.

    31 min
  • Lesson 3

    Data Visualization and Storytelling

    Choose chart forms that communicate findings for business stakeholders.

    29 min
  • Lesson 4

    Feature Engineering Basics

    Create interpretable features and guard against leakage in experiments.

    33 min
  • Lesson 5

    Presenting Results with Dashboards

    Build concise dashboards and narrative summaries for decision makers.

    26 min