Data Analytics with R from Scratch – Beginner

Data Analytics with R from Scratch – Beginner, available at $19.99, has an average rating of 4.39, with 25 lectures, based on 9 reviews, and has 4517 subscribers.

You will learn about 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 This course is ideal for individuals who are This course is for you if you are tired of R courses that are too complicated or Data Analytics aspirants, Data Scientists, Entrepreneurs or Anybody interested in statistical programming or Anybody who has basic R knowledge and would like to take their skills to the next level It is particularly useful for This course is for you if you are tired of R courses that are too complicated or Data Analytics aspirants, Data Scientists, Entrepreneurs or Anybody interested in statistical programming or Anybody who has basic R knowledge and would like to take their skills to the next level.

Enroll now: Data Analytics with R from Scratch – Beginner

Summary

Title: Data Analytics with R from Scratch – Beginner

Price: $19.99

Average Rating: 4.39

Number of Lectures: 25

Number of Published Lectures: 25

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 25

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will 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 Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Data Analytics using R – Beginner

Lecture 1: Comprehensive Course on R

Lecture 2: Origination of R

Lecture 3: Introduction to Architecture of R

Lecture 4: Different File Types in R

Lecture 5: Basic Syntax

Lecture 6: Different Data Types

Lecture 7: Creating Vectors

Lecture 8: Creating Vectors Continues

Lecture 9: Functions and Variables in R

Lecture 10: Operators in R

Lecture 11: Loops and Functions in R

Lecture 12: Manipulation with Strings

Lecture 13: Concept of Data Frame

Lecture 14: Charts in R

Lecture 15: Functions of Charts

Lecture 16: Executing with Values

Lecture 17: Statistical Analytics

Lecture 18: Distribution Functions

Lecture 19: Linear and Logistic Regression

Lecture 20: Performing Analytics in R

Lecture 21: Multiple Linear Regression

Lecture 22: Decision Tree

Lecture 23: Time Series

Lecture 24: Problems Faced by Life Insurance Co

Lecture 25: Data Exploration and Preparation

Instructors

EDUCBA Bridging the Gap
Learn real world skills online

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 4 votes
5 stars: 4 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!

Menu