Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach 2nd ed. Edition

I am teaching in a University in the Kansas City MO area and using this book as complement resource. The code examples and all the great explanations make this an excellent asset.I fully recommend this book for learning Business Analytics.

Muy buena literatura amplia sobre los temas a recordar para un catedrático de inteligencia de negocios o un practicante activo

Practical Business Analytics Using Python is a fantastic resource for anyone in business analytics, and I’m especially proud to recommend it as one of the authors, Dr. Umesh, is my professor. The book offers a practical, hands-on guide to data manipulation, visualization, and predictive modeling, making complex concepts approachable. With real-world examples and Python code using Pandas and Scikit-Learn, it’s perfect for beginners and seasoned analysts. It is highly recommended for those looking to sharpen their analytics skills in a business context!

Professor Hodeghatta is an expert in the data analytics space and this book is an excellent and complete coverage of many of the most relevant topics that need to be understood by the Data Analyst. Great for a textbook in analytics but equally accessibility for self study. The examples provided in both Python and R allow the reader to immediately explore and implement the ideas on the text. I am pleased to textbook in a prominent place on my bookshelf.

Kudos to Prof Umesh for crafting this great book "Practical Business Analytics Using R and Python"! This book has proven incredibly helpful in navigating the complexities of business analytics. The data-driven approach provided valuable insights, and the use of both R and Python added versatility to solving various business problems. The content is well-organized, making it accessible for users with varying levels of expertise. Highly recommend for those seeking a practical guide in the realm of business analytics.