R for Data Analysis, Statistics and Data Science

R for Data Analysis, Statistics and Data Science

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.

Data Analysis & Data Science using R : Descriptive & Inferential Statistics, Data Visualization, Hypothesis Testing

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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

Rating: 3.5

Level: All Levels

Duration: 8 hours

Instructor: Syed Mohiuddin