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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R for Data Analysis, Statistics and Data Science udemy course
Data Analysis & Data Science using R : Descriptive & Inferential Statistics, Data Visualization, Hypothesis Testing
What you'll learn:
- Learn the fundamentals of programming in R
- Work with R’s conditional statements, functions, and loops
- Build your own functions in R
- Get your data in and out of R
- Learn the core tools for data science with R
- Manipulate data with the Tidyverse ecosystem of packages
- Systematically explore data in R
- The grammar of graphics and the ggplot2 package
- Visualise data: plot different types of data & draw insights
- Transform data: best practices of when and how
- Index, slice, and subset data
- Learn the fundamentals of statistics and apply them in practice
- Hypothesis testing in R
- Understand and carry out regression analysis in R
- Work with dummy variables
- Learn to make decisions that are supported by the data!
- Have fun by taking apart Star Wars and Pokemon data, as well some more serious data sets
Requirements:
- You’ll need to install R Studio. We will show you how to do it in one of the first lectures of the course
- All software and data used in the course are free.
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.
Who this course is for:
- Beginner who wants to apply R for Statistics and Data Analysis
- Mastering critical SKILLS in Data Structures using Python
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Course Details:
- 8 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
R for Data Analysis, Statistics and Data Science udemy free download
Data Analysis & Data Science using R : Descriptive & Inferential Statistics, Data Visualization, Hypothesis Testing
Demo Link: https://www.udemy.com/course/statistical-data-analysis-using-r/
