Statistical Data Analysis Using R [Free Online Course] - TechCracked

Learn Descriptive and Inferential Statistics, Data Visualization, Hypothesis Testing and Probability Distribution

This course includes

• 8 hours on-demand video
• Full lifetime access
• Access on mobile and TV

What you'll 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

Description

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.

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.

Enroll Now