About this course
A practical, job-oriented Data Science course covering Machine Learning fundamentals, Advanced Excel for data analysis, and Databases & Statistics — the core toolkit real data analysts use daily. Students learn to build simple predictive models, analyze data professionally in Excel, query relational databases with SQL, and apply statistical thinking to real business questions.
What you'll learn
- Understand core Machine Learning concepts (supervised vs unsupervised learning, regression, classification, model evaluation).
- Use Advanced Excel features (lookup formulas, PivotTables, conditional functions, what-if analysis) for real data analysis.
- Query and analyze data stored in relational databases using SQL.
- Apply descriptive statistics and distinguish correlation from causation when interpreting data.
- Use AI tools responsibly to speed up data exploration and analysis while verifying every AI-generated answer.
Curriculum
Core supervised/unsupervised ML concepts, linear regression, classification, and model evaluation.
Lookup formulas, PivotTables, conditional functions, and what-if analysis for professional data analysis.
Querying data with SQL, descriptive statistics, and correlation vs causation.
Using AI assistants responsibly to explore data and generate/verify analysis code.
Cumulative review across all Data Science units.