Data science with R
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What Will I Learn?
- Learn Basic principal of programming
-
How to install R and RStudio
-
How to use RStudio
- How to create variable, looping and decision making in programming
- Vectors in R
- Function and packages in R
- Learn Matrices and Dataframe of R
- Data visualization using ggplot2
Curriculum For This Course
03:59:24
+ –
Introduction
1 Lecture 02:40
Introduction to Course
02:40
+ –
Installation of R and RStudio
3 Lectures 16:48
Windows installation
06:36
04:58
Overview of RStudio
05:14
+ –
Programming Fundamental
8 Lectures 42:35
Datatype
06:52
Operation on Datatype
05:25
Logical operator
06:48
If else - decision making
07:51
Looping, For and While loop
07:07
Summary
01:43
Programming - Variable and Datatype exercise
00:16
Programming exercise: solution
06:33
Basic Programming
4 questions
+ –
Functions and packages
4 Lectures 36:55
Introduction to Functions
10:19
Create custom function
13:59
Variable Scope
06:10
Package in R
06:27
+ –
Vectors
11 Lectures 56:47
Introduction to Vectors
08:11
Create vector with : seq, rep
04:42
Vector with of different data type
03:45
Vector names
03:13
Indexing & slicing
08:35
Comparison operator
04:00
Basics of Vector operation
06:54
Vectorised operation vs Non Vectorised operation
04:54
Vector summary
01:34
Vector exercise - Problem
00:11
Vector exercise - Solution
10:48
Vectors
5 questions
+ –
Matrices
8 Lectures 40:07
Introduction to Matrix
08:26
Create Matrix - rbind(), cbind()
05:21
colnames(), rownames()
04:54
Indexing & slicing
10:39
Matrix arithmetic operation
09:25
Matrix summary
01:10
Matrix exercise - Problem
00:11
Matrix exercise : Solution
00:00
Quiz
5 questions
+ –
Dataframe in R
9 Lectures 43:19
Introduction to DataFrame
07:53
Import CSV data in R
06:13
Explore dataset
09:34
Dataframe selection and indexing
07:23
Access with $ notation
02:25
Operation with Dataframe
09:33
DataFrame Summary
00:00
Dataframe exercise - Problem
00:16
Dataframe exercise : Solution
00:00
+ –
More topic coming soon
1 Lecture 00:00
Topics
00:00
+ –
Bonus Special Offer
1 Lecture 00:17
Discount for other courses
00:17
Requirements
- No prior knowledge required
- Curious enough to dive into world of R, statistics, analytics, Data Science
Description
Data Scientist: The Sexiest Job of the 21st Century - By Harvard Business review
The average data scientist today earns $130,000 a year by glassdoor.
Want to join me for your journey towards becoming Data Scientist, Machine Learning Engineer.
This is first introductory course to get started with Basic of R, R Data structure, then data analysis, Machine learning implementation
This course will teach you- All Basic R, R required for data analysis process.
- Basics of R
- Vectors
- Functions
- Packages
- Matrix
- DataFrame
- Many more topics are coming soon .
This course is for beginner and some experienced programmer who want to make career in Data Science and analytics.
Prequisite :
- High School mathematics
Enroll in this course and take first step in wonderful world of Data.
See you in field.
Sincerely,
Ankit Mistry
Who is the target audience?
- Beginner Developers who want to make career as Data Scientist or Statistician
- This course is not for experienced data scientist
- Anyone who wants to learn R language and moving towards Data related job
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