Hearthwood Course 2026-05-06
python for data science
Target Audience: Home bakers with basic kitchen skills who want professional-quality sourdough
Difficulty: Intermediate
Structure: 5 modules, 20 lessons
| Responsible | Administrator |
|---|---|
| Last Update | 06.05.2026 |
| Members | 1 |
-
Data Foundations for Bakers8Lessons ·
-
Exploring Data Types in Python
-
Exploring Data Types in Python
-
Loading and Exploring Datasets
-
Loading and Exploring Datasets
-
Data Cleaning Techniques
-
Data Cleaning Techniques
-
Data Structures for Baking Data
-
Data Structures for Baking Data
-
-
Visualizing Baking Data8Lessons ·
-
Creating Your First Plot with Matplotlib
-
Creating Your First Plot with Matplotlib
-
Customizing Your Visuals
-
Customizing Your Visuals
-
Advanced Visualizations with Seaborn
-
Advanced Visualizations with Seaborn
-
Interpreting Your Data Visuals
-
Interpreting Your Data Visuals
-
-
Statistical Analysis for Bakers8Lessons ·
-
Descriptive Statistics for Baking Metrics
-
Descriptive Statistics for Baking Metrics
-
Understanding Probability in Baking
-
Understanding Probability in Baking
-
Conducting Hypothesis Tests
-
Conducting Hypothesis Tests
-
Analyzing Correlations in Baking Data
-
Analyzing Correlations in Baking Data
-
-
Advanced Data Manipulation Techniques8Lessons ·
-
Merging and Joining Datasets
-
Merging and Joining Datasets
-
Grouping and Aggregating Data
-
Grouping and Aggregating Data
-
Handling Time Series Data
-
Handling Time Series Data
-
Optimizing Your Data Workflows
-
Optimizing Your Data Workflows
-
-
Capstone Project: Data-Driven Baking Recipe Development8Lessons ·
-
Combining Skills for Recipe Development
-
Combining Skills for Recipe Development
-
Creating Your Data-Driven Recipe
-
Creating Your Data-Driven Recipe
-
Presenting Your Findings
-
Presenting Your Findings
-
Reflecting on Your Data Science Journey
-
Reflecting on Your Data Science Journey
-