Business Data Analytics Second Edition

<p>This beginner-friendly textbook is designed to quickly introduce readers to Python programming and its applications in data analytics emphasizing a hands-on approach throughout. While we assume a basic familiarity with programming languages relational databases and statistics the book caters to learners of all backgrounds interested in data-driven decision making.</p><p><br></p><p>Key Features:</p><p>- Focuses on equipping data analysts with essential knowledge and skills</p><p>- Guides readers through Python fundamentals to intermediate topics like time series and regression analysis</p><p>- Emphasizes practical implementation using the powerful Python library Pandas</p><p>- Introduces visualization techniques to effectively communicate insights Matplotlib</p><p>- Covers machine learning fundamentals for predictive analytics</p><p><br></p><p>Learning Approach:</p><p>- Utilizes simple datasets in most chapters to help readers grasp the inner workings of tools and techniques</p><p>- Presents real-world datasets in the final chapter to expose learners to actual data scenarios and challenges</p><p>- Encourages skill development and problem-solving abilities</p><p><br></p><p>What's New in the Second Edition:</p><p>- Updated all code examples</p><p>- Added many more examples and exercises</p><p>- Included new sections on data transformation and ARIMA</p><p>- Added a new chapter summarizing the levels of business data analytics</p><p>- Expanded coverage of data visualization and machine learning applications reflecting recent changes in Pandas and industry trends</p><p><br></p><p><br></p><p>This comprehensive guide is designed to take you from Python basics to intermediate data analytics techniques equipping you to tackle real-world data challenges effectively and make informed data-driven decisions.</p>