Watch Udemy The Data Science Course 2020: Complete Data Science Bootcamp Page

| Module | Topics | Pedagogical Style | |--------|--------|-------------------| | 1. Intro & Math Refresher | Algebra, calculus, statistics | Talking head + slides | | 2. Python Core | Variables, loops, functions | Code-along (Jupyter) | | 3. SQL & Databases | SELECT, JOIN, aggregations | Screen capture + exercises | | 4. ML Algorithms | Regression, classification, clustering | Math light, code heavy | | 5. Tableau & Storytelling | Dashboards, charts | Show-and-tell |

| Skill | Coverage (0–10) | Notes | |-------|----------------|-------| | Python (pandas) | 8 | Solid, but no real-world data cleaning | | Statistics (p-values, distributions) | 6 | Conceptual, not applied to A/B testing | | SQL | 7 | Good joins, no window functions | | ML (train/test, overfitting) | 7 | Strong intuition, weak on hyperparameter tuning | | Visualization | 5 | Tableau intro; no matplotlib / seaborn customization | | Deployment | 0 | None. Absolutely zero. | | Communication | 2 | One optional lecture on “presenting results” | | Module | Topics | Pedagogical Style |

The 2020 edition sits at a pivotal moment—just before the explosion of LLMs and ChatGPT, but after the maturation of scikit-learn and pandas . It represents the last classical data science curriculum before the field split into MLOps, AutoML, and generative AI. 2. Structure & Content: A Logical, If Ambitious, Ladder The course is organized into five acts: SQL & Databases | SELECT, JOIN, aggregations |