R Programming:For Data Science With Real Exercises

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R Programming:For Data Science With Real Exercises provided by Udemy is a comprehensive online course, which lasts for 4-5 hours worth of material. R Programming:For Data Science With Real Exercises is taught by Zulqarnain Hayat. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Overview
  • Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

    What you'll learn:

    • TO go through deep understanding of R language basics and packages and many hand on examples

    This course will introduces the R statistical processing language, including how to install R on your computer, read data from SPSS and spreadsheets, and use packages for advanced R functions. The course continues with examples on how to create charts and plots, check statistical assumptions and the reliability of your data, look for data outliers, and use other data analysis tools. Finally, learn how to get charts and tables out of R and share your results with presentations and web pages.

    The following topics are include:

    · What is R?

    · Installing R and R studio (IDE)

    · Creating bar character for categorical variables

    · Building histograms

    · Calculating frequencies and descriptive

    · Computing new variables

    · Creating scatter plots

    · Comparing means

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