Data Analytics with R from Scratch

Data Analytics with R from Scratch, available at $34.99, has an average rating of 4.22, with 42 lectures, based on 9 reviews, and has 26 subscribers.

You will learn about You will get a good understanding of R theoretically and Practically which are very useful skills to have This course will show you how the most common types of graphs can be produced with R You will learn to write code from very basics to advanced level You will learn how to create and handle different types of objects You will get expertise in the R programming language to master data analytics This course is ideal for individuals who are Data Analytics aspirants or Data Scientists or Entrepreneurs or Anybody interested in statistical programming It is particularly useful for Data Analytics aspirants or Data Scientists or Entrepreneurs or Anybody interested in statistical programming.

Enroll now: Data Analytics with R from Scratch

Summary

Title: Data Analytics with R from Scratch

Price: $34.99

Average Rating: 4.22

Number of Lectures: 42

Number of Published Lectures: 42

Number of Curriculum Items: 42

Number of Published Curriculum Objects: 42

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

You will get a good understanding of R theoretically and Practically which are very useful skills to have
This course will show you how the most common types of graphs can be produced with R
You will learn to write code from very basics to advanced level
You will learn how to create and handle different types of objects
You will get expertise in the R programming language to master data analytics

Who Should Attend

Data Analytics aspirants
Data Scientists
Entrepreneurs
Anybody interested in statistical programming

Target Audiences

Data Analytics aspirants
Data Scientists
Entrepreneurs
Anybody interested in statistical programming

Are you new to R?

Do you want to learn more about statistical programming?

Are you keen on becoming a Data analyst & Data Scientist?

If your answer is YES – read on!

This Tutorial is the first step – your Level 1 – to R mastery.

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.

Your journey will start with the theoretical background. 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 applied family of functions can be used for looping.

This course is truly step-by-step. In every new tutorial, we build on what had already been learned and move one extra step forward.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!

I can’t wait to see you in class,

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Installing R and R studio

Lecture 3: Installing R Packages

Chapter 2: Section-1

Lecture 1: Introduction To R Programming Course

Lecture 2: Use Cases On Analytics And Data Science

Lecture 3: About Data Types

Lecture 4: Data Analytics & Data Science Project Life Cycle

Lecture 5: Introduction To R Environment

Lecture 6: Practical Orientation With R(Data Types And Structures)

Lecture 7: Practical Orientation(Writing Basic Code)

Lecture 8: Practical Orientation(Data Structures)

Lecture 9: Practical Orientation(Data Structures) – 2

Lecture 10: Practical Orientation(Data Structures) – 3

Chapter 3: Section-2

Lecture 1: Agenda For Session

Lecture 2: Import Data Using R

Lecture 3: Import Data Using R – 2

Lecture 4: Load Data Using Readr Package

Lecture 5: Load Data Into R

Lecture 6: Load Data Into R -2

Lecture 7: Load Data Into R -3

Lecture 8: Load Data Into R -4

Chapter 4: Section-3

Lecture 1: Data Management With Dplyr

Lecture 2: Data Visualization With Ggplot2

Lecture 3: Data Visualization With Ggplot2

Lecture 4: Introduction To Tidyverse With Case Study

Lecture 5: Tidyverse Hands On-1

Lecture 6: Tidyverse Hands On- 2

Chapter 5: Section-4

Lecture 1: Bivariate Analysis

Lecture 2: Correlation Plots

Lecture 3: Explore Iris Dataset

Lecture 4: Explore Parameters

Lecture 5: Introduction To EDA

Lecture 6: Sub Setting Dataset

Lecture 7: Univariate Analysis

Chapter 6: Section-5

Lecture 1: Automobile Case Study-Linear Regression- I-1

Lecture 2: Automobile Case Study-Linear Regression- Ii-1

Lecture 3: Kmeans Iris Case Study – I-1

Lecture 4: Kmeans Iris Case Study – Ii-1

Lecture 5: Kmeans Iris Case Study – Iii-1

Lecture 6: Knn Cancer Case Study – I-1

Lecture 7: Knn Cancer Case Study – Ii-1

Lecture 8: Knn Cancer Case Study – Iii-1

Instructors

Raman Jha
Data scientist and Salesforce Developer

Rating Distribution

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