R for Data Analysis, Statistics and Data Science

Description

Welcome to this course of R for Data Analysis, Statistics, and Data Science, and become an R Professional which is one of the most favored skills, that employers need.

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 can learn on your own schedule.

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

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.

What You Will Learn!

• 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

Who Should Attend!

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

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