Data Science Foundations
A self-paced course covering the statistical and machine learning concepts you need for a data science certification exam. 10 hours · 19 lessons · 4 modules.
Module 1
150 minStatistical Foundations
Module 2
210 minStatistical Modeling & Predictive Analytics
Module 3
120 minExploratory Data Analysis & Insight Generation
Module 4
120 minData Wrangling, ETL & Data Quality
Module 5
235 minPython for Data Science
- 5.1 NumPy — arrays, vectorization, and broadcastingPython
- 5.2 Pandas fundamentals — Series, DataFrames, and I/OPython
- 5.3 Data cleaning with PandasPython
- 5.4 Data manipulation — groupby, merge, and reshapePython
- 5.5 Scikit-learn — preprocessing, pipelines, and evaluationPython
- 5.6 End-to-end project — raw data to trained modelPython