Learn programming in R
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Learn programming in R

How to program using R
0.0 (0 ratings)
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.
5 students enrolled
Last updated 2/2017
English
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Current price: $10 Original price: $40 Discount: 75% off
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Includes:
  • 8.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • At the end of this course, student will become completely familiar of the programming environment of R (tool)
  • At the end of this course, student will have sound understanding of common programming tasks that a Data analyst needs to perform
View Curriculum
Requirements
  • This course expects the Student to have a basic understanding of any High Level functional programming language. Any programming language like C, C++, Java, VBA, etc is sufficient for learning R . Even if you are not really hands-on with any of the High Level Programming languages, a basic understanding of Excel formula is also sufficient
Description

Businesses around the world are having a need to understand how they are performing. This need has created a huge opportunity for people who are specialized in performing the Business Analysis tasks. It has been observed that now there exists a huge gap between demand and supply of the specialized workforce who is pretty much capable of handling the Business Analysis and who can quickly deliver the insights to the Business Managers.

Almost every organization in today's modern Business World is trying to enhance its Analytical capabilities so that they can bring increase the Financial outcome. Moreover, the peculiar thing with Analytics field that it is no more a strong hold of the traditional Technology Organizations only, this is an area which almost every organization from different domains have adopted. Those Organizations who want to focus on their core competency they are outsourcing the work to different  consulting firms while many other are now having a separate department to fulfill this requirement within the organization itself. All in all, this trend is catching up and almost all the Fortune 500 companies have now their analytical platforms made ready for them either through outsourcing or through in-house departments.

The reality is that there are not enough number of professionals who have required skill-set in Data Analysis field. R being an open source tool and is really acclaimed by several people in Academic and Business world. R is gaining popularity with every passing day and has today reached to such a level of demand that almost every Data Analyst is keen to learn this tool. It's ease of use and versatility has been another major reason behind its popularity. Another factor behind the huge demand of R is that it has the provision of integrating code libraries(packages) written by any developer into your work-space. 

This actually augments the capability of R in regard that it can now run anybody's code libraries as if it were written by you. So your capability gets multiplied now because now you are having an access to lot of other developer work as well because lot of people actually share their codes through R's open code library. Moreover, you don't have to pay even a single penny to use these code libraries. 

This course intends to teach about the programming environment in R and how to perform basic data analysis tasks in R. After completion of this course, you will be pretty much capable of performing lot of Analysis using R, as the single tool. If you are a SQL Developer, you can leverage your SQL codes also inside R, with much of ease. If you plan to move to Data Science field, then learning R, is sort of a must, and not an option. If you are a Statistician then learning this course, will really benefit because then you can run complex Statistical packages and quickly perform multiple analysis very comfortably. If you are a Business Manager/ Analyst then again this course will help you perform your daily analysis activities through R.

Who is the target audience?
  • This course is meant for people who are already working in Data Analysis stream or who are aspiring to get into Data Analytics domain.
  • This course is ideal for people from Mathematics/Statistics/Computer Science background
  • This course is ideal for people who are working as programmers/Software Developers/Software Engineers/Data Analysts
  • This course is ideal for people who are managing Businesses and want to analyse Business data with R ( an open source tool)
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Curriculum For This Course
77 Lectures
08:25:03
+
Descriptive Statistics
8 Lectures 49:20

Frequency Distributions
06:05

Histograms
03:10

Computing the Mean, Median, Mode
02:19

Computing Inter-quartile Range
08:06

Box and Whisker Plots
03:09

Standard Deviation
10:22

Computing IQR and Standard Deviation in R
06:04
+
Inferential Statistics
5 Lectures 45:22
Drawing Inferences from the Data
03:23

Knowing about Random Variables
16:53

Introduction to Normal Probability Distribution
09:30

Understanding the Sampling Technique
06:13

Understanding the Sample Statistics and Sampling Distributions
09:23
+
Sample Case Studies for applying Inferential Statistics
6 Lectures 01:03:08
Case Study 1: Inferential Statistics
06:43

Case Study 2: Inferential Statistics
07:48

Case Study 3: Inferential Statistics
09:47

Case Study 4: Inferential Statistics
09:46

Case Study 5: Inferential Statistics
17:16

Case Study 6: Inferential Statistics
11:48
+
Understanding R Programming
6 Lectures 45:20
Understanding R Environment
07:24

Managing variables
08:45

Managing the output from print command
13:00

Understanding Data Type: Numeric
05:22

Understanding Data Type: Characters and Dates
07:27

Understanding Data Type : Logical Values
03:22
+
Understanding Vectors in R
15 Lectures 01:01:57
Data Structures
08:21

Vectors - Creation
02:19

Mode of a Vector
04:15

Behavior of Vectors- Mode
02:22

Accessing Vector elements
03:06

Aggregating Vectors
01:28

Managing Vectors of same length
05:37

Managing Vectors of different length
05:27

Managing Sequences
06:22

Managing conditions with Vectors
02:01

Calculating lengths of multiple strings
02:19

Generating a complex sequence
02:46

How to manage indexing with Vectors-1
06:53

How to manage indexing with Vectors -2
06:16

How to manage indexing with Vectors -3
02:25
+
Understanding Arrays in R
3 Lectures 16:04
Creating Arrays
02:07

Indexing Arrays
07:36

Operations between Arrays
06:21
+
Understanding Matrices in R
5 Lectures 16:46
Introduction to Matrices
07:56

Creating Matrices in R
01:58

Matrix Operations
02:46

Matrix merging
02:03

Matrices in Linear Equations
02:03
+
Understanding Factors in R
5 Lectures 17:07
Introduction to Factors
06:45

Distinct values in a dataset
01:25

Replace the levels of a factor
02:15

Aggregate factors with table
01:37

Aggregate factors with tapply
05:05
+
Understanding Lists and Dataframes in R
6 Lectures 29:51
Introduction to Lists
05:08

Introduction to Data Frames
04:25

Reading data from files
04:49

Indexing a Dataframe
05:36

Aggregating using Dataframes
06:26

Merging Dataframes
03:27
+
Applying Linear Regression Techniques
11 Lectures 02:05:47
Introducing Regression
12:19

Regression details
16:04

Regression Case study
06:32

Linear Regression in Excel
09:50

Linear Regression in Excel-1
16:46

Linear Regression in R
13:03

Linear Regression in R-1
16:01

Multiple Linear Regression
12:13

Categorical Variables in a Linear Model
07:41

Robust Regression in R
03:11

Parsing Regression Diagnostics
12:07
1 More Section
About the Instructor
Learning Academy The Global Training Hub
3.9 Average rating
31 Reviews
208 Students
4 Courses
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The Global Training Hub (TGTH) is a world class Learning Academy and has a inter-connect network of several professionals who aim to excel in their respective fields and share this knowledge with other people who aspire to excel as well. We have full time dedicated network of working professionals who wish to share their expertise with rest of world.

Our course modules have been designed keeping in mind the requirement of today's Business and there by created by the same set of people who wish are engaged in answering all the questions related to today's problems.

We aspire to reachout to a large population of students by offering the learning and experience of our course creators to as many people as possible. Overall, our learning experience is more than 20 years old in terms of delivering quality education and we are gaining more and more experience in this context with every passing day.


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