Course Resources
Your comprehensive guide to learning materials and references
Week 1: Foundations of Data Science
Getting Started with Data
This week introduces fundamental concepts in data science, including data types, basic statistics, and essential Python tools for data manipulation and analysis.
📚 Textbook Readings
Core Reading
Essential foundations covering data types, variables, and descriptive statistics. This reading provides the theoretical foundation for understanding how data is structured and analyzed in statistical contexts.
Supplementary
Deep dive into pandas operations including describe(), groupby(), and other essential aggregation functions. Critical for understanding how to summarize and manipulate real-world datasets.
💻 Interactive Tutorials
Hands-on Practice
Comprehensive hands-on workshop covering Python data types, pandas DataFrame structures, and input/output operations. Includes downloadable datasets and step-by-step exercises.
📖 Documentation & References
Core Reference
Official documentation for descriptive statistics in pandas. Essential reference for understanding central tendency, dispersion, and shape analysis of your datasets.
Statistical Functions
Complete reference for NumPy’s statistical toolkit including mean(), median(), std(), percentile(), and advanced statistical measures.
Advanced Reference
Comprehensive statistical analysis toolkit covering probability distributions, hypothesis testing, and advanced descriptive statistics for research-grade analysis.
Week 2: Data Visualization
Resources Coming Soon!
Week 2 materials focusing on matplotlib, seaborn, and plotly will be available next week. Check back soon for visualization tutorials and interactive exercises.
Week 3: Statistical Analysis
Statistical Inference & Confidence Intervals (CI’s)
Week 3 will cover statistical inference,and confidence intervals. Materials will be posted by week 3.
Week 4: Statistical Methods & Testing
Hypothesis Testing Fundamentals
Week 4 will cover hypothesis testing, and two sample t-Tests. Materials will be posted by week 4.