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 minLesson 2
Cleaning Data with Pandas
Handle nulls, inconsistent types, and outliers with robust transforms.
31 minLesson 3
Data Visualization and Storytelling
Choose chart forms that communicate findings for business stakeholders.
29 minLesson 4
Feature Engineering Basics
Create interpretable features and guard against leakage in experiments.
33 minLesson 5
Presenting Results with Dashboards
Build concise dashboards and narrative summaries for decision makers.
26 min