Statistical Data Analysis Using R | Udemy Coupon Free

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Statistical Data Analysis Using R Udemy Coupon Free
Statistical Data Analysis Using R Udemy Coupon Free

Get Udemy Coupon Free For Statistical Data Analysis Using R Course

Welcome to this course of Statistical Data Analysis Using R, and become an R Professional which is one of the most favored skills, that employer’s need.

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Whether you are new to statistics and data analysis or have never programmed before in R Language, this course is for you! This course covers the Statistical Data Analysis Using R programming language. This course is self-paced. There is no need to rush – you learn on your own schedule.

This course will help anyone who wants to start a саrееr as a Data Analyst.

This course begins with the introduction to R that will help you write R code in no time. This course will provide you with everything you need to know about Statistics.

In this course we will cover the following topics:

· R Programming Fundamentals

· Vectors, Matrices & Lists in R

· Data Frames

· Importing Data in Data Frame

· Data Wrangling using dplyr package

· Qualitative and Quantitative Data

· Descriptive and Inferential Statistics

· Hypothesis Testing

· Probability Distribution

This course teaches Data Analysis and Statistics in a practical manner with hands-on experience with coding screen-cast.

Once you complete this course, you will be able to perform Data Analysis to solve any complex Analysis with ease.

Who this course is for:

  • Beginner who wants to apply R for Statistics and Data Analysis

WHAT WILL YOU LEARN IN THIS COURSE:

  • About Qualitative, Quantitative, Bivariate and Multivariate Data
  • Descriptive Statistics ie of Mean, Median, Quartiles, Quantiles, Variance and Standard Deviation
  • Correlation and Covariance
  • Applications of Descriptive Statistics on Stock Price Data
  • Probability Distributions
  • Inferential Statistics – Hypothesis Testing
  • Fundamentals of R Programming & Work with RStudio
  • Use Vectors, Matrices, Lists, Data Frames
  • Importing and Handling CSV files
  • Using dplyr Package for Data Wrangling or Handling
  • Data Visualization in R

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