CS · Data Science

Data Science

38 hours, 12 minutes 48 Seconds

Description

Data science combines statistics, programming, and domain expertise to extract actionable insight from data. This course covers the full data science workflow, from data wrangling through modeling and communication, preparing students to tackle real-world analytical problems end to end.

What Students Will Learn

+ Data Wrangling and Exploratory Analysis ›
+ Statistical Foundations for Data Science ›
+ Predictive Modeling ›
+ Communicating Data Science Results ›

Overall Learning Outcomes

  1. End-to-End Fluency: Execute the full data science workflow from raw data to insight.
  2. Statistical Grounding: Apply statistical reasoning to validate analytical conclusions.
  3. Modeling Skills: Build predictive models suited to real-world business problems.
  4. Communication: Present data science findings clearly to technical and business audiences.
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