Projects in R : Learn R Creating Data Science Projects
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Projects in R : Learn R Creating Data Science Projects

Master the concepts of R programming language building real world projects
5.0 (1 rating)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
41 students enrolled
Last updated 7/2017
English
Curiosity Sale
Current price: $10 Original price: $50 Discount: 80% off
30-Day Money-Back Guarantee
Includes:
  • 8.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Get to learn R programming language doing real data driven projects
  • Learn to implement statistics and data science concepts using R
  • Learn to visualize data and manipulate it using R
  • Learn advance text and string manipulation using R
View Curriculum
Requirements
  • Basic Math knowledge is required for completing the course
  • Knowledge of any programming language will be helpful but is not required for this course
Description

Get hands-on with R Programming Language in our easy to learn Projects in R Programming Course!

R Programming language is not the easiest language to learn and work with, along with data mining and analysis. We’ve seen a lot of people complain that while they could find resources for understanding the theory behind using R programming language and environment, actual project based courses where you get your hands dirty with R, is not available.

This is why we designed this course that allows learners to actually learn R programming using a hands-on approach by building projects along with the instructor. The course will breakdown how to actually start working with R Programming Language and environment in an easy and structured way that will help you not only understand this statistical language, but also become more familiar with how you can go about using it.

R is a programming language and environment for statistical computing and graphics. It allows developers to work with a range of statistical and graphical techniques including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, etc.

This project based course is a great way for you to understand and learn the fundamentals of R Programming Language. There are five major aspects that will be targeted in this course:

1. Practical approach to the R Programming – If you already have some background in R programming, or even have the knowledge, then this will help you gain a practical approach to R programming.

2. Learn Different Forms of Data Visualization – Visualizations of data has become a popular trend, as it makes the data more prominent and easier to understand. These include different types of visualizations such as bar graph, charts, heat map, etc.

3. Learn efficient ways to visualize data – Data should be efficient, especially if you are working with partial data. If the data is not efficient, the analysis would not be faulty and can be misunderstood.

4. Learn ways to manipulate data – Data isn’t always constant and it is often used to analyze past data and make future predictions. For this data is required to be manipulated to create predictions for multiple scenarios.

5. Learn to generate reports using R – Now we come to the most important stage of data mining and analysis. Here you will learn to generate effective reports that will help you put out a clean set of data analysis for consumption.

So, what are you waiting for? Learn R Programming in an easy and simple to learn course when you click the Enroll Now button!

Who is the target audience?
  • Anyone who wants to learn the R programming language will find this course very useful
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Curriculum For This Course
82 Lectures
08:32:30
+
Introduction and Installation
4 Lectures 10:58

Intro to R
03:31

R in windows
02:15

Installing R studio
04:16
+
Basic Operations in R
7 Lectures 40:03

Working with vectors Part 1
05:39

Working with vectors Part 2
04:10

Working with character vectors
03:44

Working with Matrix
10:58

Generating Numbers
06:13


Section 2
3 questions
+
Reading Data into R
8 Lectures 36:48
Data visualization and R - What will you learn
02:45

Reading CSV files- Part 1
06:32

Reading CSV files -Part 2
02:38

Reading other formats
06:48

Extracting values from vectors - Part 1
04:11

Extracting values from vectors - Part 2
04:29

Subsetting Dataframe using
06:04

Subsetting using subset function
03:21

Section 3
3 questions
+
Manipulating Data
6 Lectures 41:54
Working with vectors
11:21

Factors
05:57

Know types of data
07:03

Text Processing
03:57

Working with Logical Values
06:02

Working with Missing Values
07:34

Section 4
3 questions
+
Data Visualization
30 Lectures 03:22:01
Introduction to Plots Part 1
08:55

Introduction to Plots Part 2
07:17

Introduction to Plots Part 3
07:13

Introduction to Plots Part 4
05:06

Introduction to Plots Part 5
06:30

Poltting a BAR graph
09:35

Plotting a Bar chart
07:26


Adjusting Bar Width and Spacing
06:18

Giving Lables to the bar
05:36

Pie chart Part 1
04:29

Pie chart Part 2
04:47

Pie chart Part 3
03:31


Histogram Part 1
02:57

Histogram Part 2
07:31

Kernel Density Plot Part 1
04:22

Kernel Density Plot Part 2
05:13

Box Plots Part 1
07:22

Box Plots Part 2
05:40

Scatter Plot Part 1
05:09

Scatter Plot Part 2
08:25

Scatter Plot Part 3
13:45

Scatter Plot Part 4
08:30

Line Graph Part 1
08:44

Line Graph Part 2
07:00

Line Graph Part 3
10:57

Line Graph on shaded area Part 1
06:27

Line Graph on shaded area Part 2
06:34

Line Graph with confidence intervals
07:16

Section 5
4 questions
+
Spatial Data Visualization
9 Lectures 01:11:53
Spatial Data
01:14

Maps Part 1
05:44

Maps Part 2
05:41

Maps Part 3
07:40

Maps Part 4
03:46

Maps Part 5
04:50

Maps Part 6
14:55

Maps Part 7
09:34

Heatmap in R
18:29
+
Manipulating Strings
13 Lectures 01:14:15
Introduction
07:39

Objective
01:22

Character Manipulation Part 1
07:00

Character Manipulation Part 2
08:26

Character Manipulation Part 3
05:40

Character Manipulation Part 4
04:06

Strings Part 1
04:28

Strings Part 2
06:10

Strings Part 3
06:33

Strings Part 4
05:56

Strings Part 5
04:43

Strings Part 6
07:43

Strings Part 7
04:29
+
String Manipulation Using Stringr
5 Lectures 34:38
Using Stringer Part 1
05:36

Using Stringer Part 2
08:26

Pratical Approach Part 1
06:22

Pratical Approach Part 2
07:03

Pratical Approach Part 3
07:11
About the Instructor
Eduonix Learning Solutions
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Eduonix creates and distributes high quality technology training content. Our team of industry professionals have been training manpower for more than a decade. We aim to teach technology the way it is used in industry and professional world. We have professional team of trainers for technologies ranging from Mobility, Web to Enterprise and Database and Server Administration.