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 | 2026/05/06 |
| Members | 1 |
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Data Foundations for Bakers8Lessons ·
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Exploring Data Types in Python
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Exploring Data Types in Python
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Loading and Exploring Datasets
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Loading and Exploring Datasets
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Data Cleaning Techniques
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Data Cleaning Techniques
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Data Structures for Baking Data
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Data Structures for Baking Data
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Visualizing Baking Data8Lessons ·
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Creating Your First Plot with Matplotlib
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Creating Your First Plot with Matplotlib
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Customizing Your Visuals
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Customizing Your Visuals
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Advanced Visualizations with Seaborn
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Advanced Visualizations with Seaborn
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Interpreting Your Data Visuals
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Interpreting Your Data Visuals
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Statistical Analysis for Bakers8Lessons ·
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Descriptive Statistics for Baking Metrics
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Descriptive Statistics for Baking Metrics
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Understanding Probability in Baking
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Understanding Probability in Baking
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Conducting Hypothesis Tests
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Conducting Hypothesis Tests
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Analyzing Correlations in Baking Data
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Analyzing Correlations in Baking Data
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Advanced Data Manipulation Techniques8Lessons ·
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Merging and Joining Datasets
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Merging and Joining Datasets
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Grouping and Aggregating Data
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Grouping and Aggregating Data
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Handling Time Series Data
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Handling Time Series Data
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Optimizing Your Data Workflows
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Optimizing Your Data Workflows
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Capstone Project: Data-Driven Baking Recipe Development8Lessons ·
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Combining Skills for Recipe Development
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Combining Skills for Recipe Development
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Creating Your Data-Driven Recipe
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Creating Your Data-Driven Recipe
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Presenting Your Findings
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Presenting Your Findings
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Reflecting on Your Data Science Journey
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Reflecting on Your Data Science Journey
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