Data Analytics with R from Scratch - Beginner

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EDUCBA Bridging the Gap

3:36:40

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1 - Comprehensive Course on R.mp4

07:03

2 - Origination of R.mp4

08:10

3 - Introduction to Architecture of R.mp4

07:33

4 - Different File Types in R.mp4

08:44

5 - Basic Syntax.mp4

05:46

6 - Different Data Types.mp4

12:32

7 - Creating Vectors.mp4

06:35

8 - Creating Vectors Continues.mp4

07:32

9 - Functions and Variables in R.mp4

05:13

10 - Operators in R.mp4

07:12

11 - Loops and Functions in R.mp4

12:44

12 - Manipulation with Strings.mp4

05:40

13 - Concept of Data Frame.mp4

10:12

14 - Charts in R.mp4

11:33

15 - Functions of Charts.mp4

07:37

16 - Executing with Values.mp4

10:22

17 - Statistical Analytics.mp4

09:51

18 - Distribution Functions.mp4

09:57

19 - Linear and Logistic Regression.mp4

06:30

20 - Performing Analytics in R.mp4

07:04

21 - Multiple Linear Regression.mp4

09:21

22 - Decision Tree.mp4

07:55

23 - Time Series.mp4

12:18

24 - Problems Faced by Life Insurance Co.mp4

11:33

25 - Data Exploration and Preparation.mp4

07:43

Description

Become Data Analytics expert with R. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot

What You'll Learn?

This course will show you how the most common types of graphs can be produced with R
Learn to program in R at a good level
you will get a good understanding of functions and loops in R which are very useful programming skills to have
Learn how to use R Studio

Who is this for?

This course is for you if you are tired of R courses that are too complicated

Data Analytics aspirants, Data Scientists, Entrepreneurs

Anybody interested in statistical programming

Anybody who has basic R knowledge and would like to take their skills to the next level

What You Need to Know?

You will need to download and install R and R Studio on your PC or laptop. Both R and R Studio are for Free Software.

No prior knowledge is required. You need only a desire to learn new things and an access to a computer.

More details

Description
Your journey will start with the theoretical background of object and data types. You will then learn how to handle the most common types of objects in R. Much emphasis is put on loops in R since this is a crucial part of statistical programming. It is also shown how the apply family of functions can be used for looping. In the graphics section you will learn how to create and tailor your graphs. As an example we will create boxplots, histograms and piecharts. Since the graphs interface is quite the same for all types of graphs, this will give you a solid foundation. There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different. This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward. After every video, you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.
All the important aspects of statistical programming ranging from handling different data types to loops and functions, even graphs are covered. Learning R will help you conduct your projects. In the long run, it is an invaluable skill that will enhance your career. The course will teach you the basic concepts related to Statistics and Data Analysis, and help you in applying these concepts. Various examples and data sets are used to explain the application.
Who this course is for:
This course is for you if you are tired of R courses that are too complicated
Data Analytics aspirants, Data Scientists, Entrepreneurs
Anybody interested in statistical programming
Anybody who has basic R knowledge and would like to take their skills to the next level

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