google data analytics

Welcome

Business Analytics for Decision Making is a comprehensive guide designed to equip readers with the essential skills and knowledge for applying business analytics in decision-making processes. This book seamlessly integrates theoretical concepts with practical applications, using MS Excel and two of the most powerful programming languages in the data science field: R and Python.

It covers a broad spectrum of data analytics. With an emphasis on data structures, statistical tests, data visualization techniques, and utilization of key packages from Python and R, this book is a practical resource for those looking to master business analytics for real-world applications.

Whether you’re a student stepping into the world of data science or a professional seeking to enhance your decision-making skills through data-driven insights, this book provides the tools and insights needed to navigate the complex landscape of business analytics

Inclusion of R & Python codes in this book

Throughout the book, the R & Python codes used for the analysis are included in this document as shown below. And the output of each code is given below the code.

Code
sample R code
x=15
y=3
x/y
[1] 5

References

Text Books

  • R in Action - Data Analysis and Graphics with R. Kabacoff, Robert. (2022). Manning Publications.
  • Practical Business Analytics Using R and Python. Hodeghatta, Umesh R., & Nayak, Umesh. (2023). Apress.
  • A Handbook of Statistical Analyses Using R. Everitt, Brian S., & Hothorn, Torsten. (2005).
  • Practical Statistics for Data Scientists. Bruce, Peter, Bruce, Andrew, & Gedeck, Peter. (2020). O’Reilly Media.