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R for Data Analysis, Statistics and Data Science

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

Platform: Udemy
Video: 8h 9m
Language: English
Next start: On Demand

Table of contents

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.

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

Requirements

• No prior knowledge or technical backgrounds is required

This course is for

• Beginner who wants to apply R for Statistics and Data Analysis
Professional Educator
Welcome to my Udemy Courses, I make programming tutorials from beginner to advanced level, I focus on creating video tutorials for programmers, software developers, engineers, and analysts.
I cover topics for all skill levels, so there is something for everyone here. My focus is on Python and R programming which is applied in statistics, data analysis, data science and machine learning.
Browse all courses by on Coursemarks.
Platform: Udemy
Video: 8h 9m
Language: English
Next start: On Demand

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