Here's an extended curriculum for a Data Science program, aligning with Explore AI Academy modules and using books available online as PDFs:
| Module | Topics Covered | Books (PDF Links) |
|---|---|---|
| Module 1: Introduction to Data Science | Introduction to DS, Python for DS | 1. "Python for Data Analysis" by Wes McKinney (PDF) |
| Module 2: Data Wrangling and Cleaning | Data cleaning techniques, Pandas | 1. "Data Wrangling with Python" by Jacqueline Kazil and Katharine Jarmul (PDF) |
| Module 3: Exploratory Data Analysis (EDA) | EDA techniques, Visualization | 1. "Python Data Science Handbook" by Jake VanderPlas (PDF) |
| Module 4: Data Visualization | Data visualization principles, tools | 1. "Fundamentals of Data Visualization" by Claus O. Wilke (PDF) |
| Module 5: Introduction to Machine Learning | ML concepts, Statistical Learning | 1. "An Introduction to Statistical Learning" by Gareth James et al. (PDF) |
| Module 6: Supervised Learning | Regression, Classification, Model evaluation | 1. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron (PDF) |
| Module 7: Unsupervised Learning | Clustering, Dimensionality reduction | 1. "Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili (PDF) |
| Module 8: Time Series Analysis | Time series modeling, Forecasting | 1. "Time Series Analysis and Its Applications: With R Examples" by Robert H. Shumway and David S. Stoffer (PDF) |
| Module 9: Natural Language Processing (NLP) | Text processing, NLP techniques | 1. "Natural Language Processing with Python" by Steven Bird, Ewan Klein, and Edward Loper (PDF) |
| Module 10: Deep Learning | Neural networks, Deep learning frameworks | 1. "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (PDF) |
| Module 11: Big Data and Spark | Big Data concepts, Apache Spark | 1. "Learning Spark" by Matei Zaharia et al. (PDF) |
| Module 12: Capstone Project | Apply DS techniques to a real-world project | - |
This curriculum covers a comprehensive range of topics in Data Science, utilizing books available online as PDFs for self-study and exploration.