R Programming-For Data Science With Real Exercises

R Programming:For Data Science With Real Exercises, available at $19.99, has an average rating of 3.9, with 27 lectures, based on 183 reviews, and has 52879 subscribers.

You will learn about TO go through deep understanding of R language basics and packages and many hand on examples This course is ideal for individuals who are Database Administrator, Database developer,Data scientist,Data Engineer It is particularly useful for Database Administrator, Database developer,Data scientist,Data Engineer.

Enroll now: R Programming:For Data Science With Real Exercises

Summary

Title: R Programming:For Data Science With Real Exercises

Price: $19.99

Average Rating: 3.9

Number of Lectures: 27

Number of Published Lectures: 27

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: $74.99

Quality Status: approved

Status: Live

What You Will Learn

TO go through deep understanding of R language basics and packages and many hand on examples

Who Should Attend

Database Administrator, Database developer,Data scientist,Data Engineer

Target Audiences

Database Administrator, Database developer,Data scientist,Data Engineer

This course will  introduces the R statistical processing language, including how to install R on your computer, read data from SPSS and spreadsheets, and use packages for advanced R functions. The course continues with examples on how to create charts and plots, check statistical assumptions and the reliability of your data, look for data outliers, and use other data analysis tools. Finally, learn how to get charts and tables out of R and share your results with presentations and web pages.

The following topics are include

·         What is R?

·         Installing R and R studio (IDE)

·         Creating bar character for categorical variables

·         Building histograms

·         Calculating frequencies and descriptive

·         Computing new variables

·         Creating scatter plots

·         Comparing means

R language basics commands

Reading ,Accessing and Summarizing Data in R

Quick Install R language on UBUNTU Linux

R Programming For Data Science refers to the use of the R programming language and associated tools for tasks related to data science. R is a popular open-source programming language and environment specifically designed for statistical computing and graphics. It provides a wide range of functionalities and packages tailored for data analysis, visualization, and machine learning. Overall R is a powerful and versatile programming language for data science, offering a comprehensive suite of tools and resources for data analysis, visualization, and machine learning tasks. Whether you’re a beginner or an experienced data scientist, R can be an invaluable tool in your toolkit for working with data.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: R in Context

Chapter 2: Getting Started

Lecture 1: Installing R on your computer

Lecture 2: Using RStudio

Lecture 3: Getting started with the R environment

Lecture 4: Reading data from a spreadshee

Lecture 5: Reading data from SPSS

Lecture 6: Using and managing packages

Chapter 3: Charts and Statistics for One Variable

Lecture 1: Creating bar charts for categorical variables

Lecture 2: Creating histograms for quantitative variables

Lecture 3: Creating box plots for quantitative variables

Lecture 4: Calculating frequencies

Lecture 5: Calculating descriptives

Chapter 4: Modifying Data

Lecture 1: Recoding variables

Lecture 2: Computing new variables

Chapter 5: Charts for Associations

Lecture 1: Creating simple bar charts of group means

Lecture 2: Creating scatterplots

Lecture 3: Creating scatterplot matrices

Lecture 4: Creating 3D scatterplots

Chapter 6: Statistics for Associations

Lecture 1: Calculating correlations

Lecture 2: Computing a regression

Lecture 3: Creating crosstabs for categorical variables

Lecture 4: Comparing means with the t-test

Lecture 5: Comparing means with an analysis of variance (ANOVA)

Lecture 6: Quick R Language Basics Commands

Lecture 7: Reading ,Accessing and Summarizing Data in R

Lecture 8: Quick Install R language on UBUNTU Lilnux

Instructors

Zulqarnain Hayat
Senior Database Specialist and Team Lead Middleware,AWS

Rating Distribution

1 stars: 6 votes

2 stars: 12 votes

3 stars: 36 votes

4 stars: 54 votes

5 stars: 75 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!