Independently published, 2024. — 360 p. — ISBN 979-8325638459, ASIN B0D461D4BF.
Empower yourself to wrangle data, build insightful visualizations, and explore machine learning with this hands-on Python programming workbook.Python Programming Workbook for Data Science equips you with the essential programming skills and techniques needed to navigate the exciting world of data science. Through a carefully crafted blend of explanations, practice exercises, and real-world projects, you'll gain the confidence to tackle data challenges effectively.
Key Features:
Master the Fundamentals: Build a solid foundation in Python programming, covering essential concepts like variables, data types, operators, control flow, functions, and more.
Conquer Data Structures: Dive deep into core data structures like lists, tuples, dictionaries, and sets, understanding their unique functionalities and applications in data manipulation.
Object-Oriented Programming (OOP) Demystified: Grasp the power of object-oriented programming with clear explanations of inheritance, polymorphism, and encapsulation practices.
Data Wrangling Made Easy: Learn how to import and export data from various sources like CSV, Excel, and databases, preparing it for analysis.
Merge and Conquer Datasets: Explore techniques for merging and joining data from multiple sources, creating a comprehensive view of your information.
Unlock Data Insights: Master the art of grouping and aggregating data, extracting valuable summaries and trends for informed decision-making.
Visualize Your Findings: Bring your data to life with the creation of essential plots like scatter plots, bar charts, and histograms, effectively communicating insights.
Machine Learning Fundamentals: Explore fundamental machine learning algorithms, including classification, regression, and clustering, gaining a conceptual understanding of their applications.
Linear Regression and Classification in Action: Implement practical examples of linear regression and classification models, putting your machine learning knowledge into practice.
Beyond the Basics:
Project-Based Learning: Apply your newly acquired skills to solve practical data science projects, solidifying your understanding through real-world application.
Chapter-End Exercises: Reinforce your learning with carefully designed exercises that test your comprehension and encourage exploration.
Solutions (Available Online/App): Access solutions to selected exercises (available online or through a companion app) to verify your understanding and identify areas for improvement.
Whether you're a beginner programmer, a data enthusiast, or an aspiring data scientist, Python Programming Workbook for Data Science is your comprehensive guide to mastering Python for data analysis and exploration.