Microsoft power bi data analyst

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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.

sample R code

x=15
y=3
x/y

[1] 5

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References

• R for Everyone

• Statistics for Management (Levin, Rubin)

• Numerical Python Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib. Johansson, Robert. (2019). (2nd ed.). Apress.

• Python for Data Analysis. Mckinney, Wes. (2013). O’Reilly.

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.

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