Introduction to Data Science: Modern Concepts, Methods, and Practical Applications with Python

Chapter 1: Data Science Basic Concepts
Chapter 2: Ethics in Data Science
Chapter 3: Introduction to Python Programming Basics, Data Types & Applications to Data Science
Chapter 4: Data Structures & Analysis with Python
Chapter 5: Data Management and Manipulations with Pandas & NumPy
Chapter 6: Data Visualization and Analysis with MatPlotlib and Seaborn
Chapter 7: Data Cleansing and Preprocessing with Python
Chapter 8: Introduction to Linear Modeling with Python
                      Exploratory modeling using Simple Linear Regression
Chapter 9: Introduction to Supervised Machine Learning Concepts with SciKitLearn Library
                      Predictive Modeling
Chapter 10: Introduction to Supervised Machine Learning Concepts with SciKitLearn Library
                       Classification Modeling
Chapter 11: Predictive and Classification Models Performance Evaluation