Data Analysis And Data Science (Python)

Description

This comprehensive eBook introduces data analysis and data science using Python through practical programming exercises and real-world datasets. Readers will learn data collection, preprocessing, cleaning, visualization, exploratory data analysis, statistical analysis, machine learning, predictive modeling, and data storytelling using libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn. Practical projects demonstrate how Python is applied in business intelligence, healthcare, finance, marketing, manufacturing, and artificial intelligence. The guide also introduces Jupyter Notebook, feature engineering, model evaluation, and ethical data practices. Suitable for students, researchers, programmers, data analysts, and aspiring data scientists.