4.54 out of 5
4.54
3235 reviews on Udemy

R Programming for Statistics and Data Science 2021

R Programming for Data Science & Data Analysis. Applying R for Statistics and Data Visualization with GGplot2 in R
Instructor:
365 Careers
19,008 students enrolled
English [Auto]
Learn the fundamentals of programming in R
Work with R’s conditional statements, functions, and loops
Build your own functions in R
Get your data in and out of R
Learn the core tools for data science with R
Manipulate data with the Tidyverse ecosystem of packages
Systematically explore data in R
The grammar of graphics and the ggplot2 package
Visualise data: plot different types of data & draw insights
Transform data: best practices of when and how
Index, slice, and subset data
Learn the fundamentals of statistics and apply them in practice
Hypothesis testing in R
Understand and carry out regression analysis in R
Work with dummy variables
Learn to make decisions that are supported by the data!
Have fun by taking apart Star Wars and Pokemon data, as well some more serious data sets

R Programming for Statistics and Data Science 2021

R Programming is a skill you need if you want to work as a data analyst or a data scientist in your industry of choice. And why wouldn’t you?  Data scientist is the hottest ranked profession in the US.

But to do that, you need the tools and the skill set to handle data. R is one of the top languages to get you where you want to be. Combine that with statistical know-how, and you will be well on your way to your dream title.

 

This course is packing all of this, and more, in one easy-to-handle bundle, and it’s the perfect start to your journey.

 

So, welcome to R for Statistics and Data Science!

 

R for Statistics and Data Science is the course that will take you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skill set to tackle a new data science project with confidence and be able to critically assess your work and others’.   

Laying strong foundations

 

This course wastes no time and jumps right into hands-on coding in R. But don’t worry if you have never coded before, we start off light and teach you all the basics as we go along! We wanted this to be an equally satisfying experience for both complete beginners and those of you who would just like a refresher on R.

What makes this course different from other courses?

 

  • Well-paced learning.

Receive top class training with content which we’ve built – and rigorously edited – to deliver powerful and efficient results.

 

Even though preferred learning paces differ from student to student, we believe that being challenged just the right amount underpins the learning that sticks.

 

  • Introductory guide to statistics.

We will take you through descriptive statistics and the fundamentals of inferential statistics.

 

We will do it in a step-by-step manner, incrementally building up your theoretical knowledge and practical skills.     

You’ll master confidence intervals and hypothesis testing, as well as regression and cluster analysis.

 

  • The essentials of programming – R-based.

Put yourself in the shoes of a programmer, rise above the average data scientist and boost the productivity of your operations.

 

  • Data manipulation and analysis techniques in detail.

Learn to work with vectors, matrices, data frames, and lists.

 

Become adept in ‘the Tidyverse package’ – R’s most comprehensive collection of tools for data manipulation – enabling you to index and subset data, as well as spread(), gather(), order(), subset(), filter(), arrange(), and mutate() it.

 

Create meaning-heavy data visualizations and plots.

 

  • Practice makes perfect.

Reinforce your learning through numerous practical exercises, made with love, for you, by us.

What about homework, projects, & exercises?

 

There is a ton of homework that will challenge you in all sorts of ways. You will have the chance to tackle the projects by yourself or reach out to a video tutorial if you get stuck.

You: Is there something to show for the skills I will acquire?

Us: Indeed, there is – a verifiable certificate.

 

You will receive a verifiable certificate of completion with your name on it. You can download the certificate and attach it to your CV and even post it on your LinkedIn profile to show potential employers you have experience in carrying out data manipulations & analysis in R.

 

 If that sounds good to you, then welcome to the classroom 🙂

Introduction

1
Ten Things You Will Learn in This Course

Getting started

1
Intro
2
Downloading and installing R & RStudio
3
Quick guide to the RStudio user interface
4
RStudio's GUI
5
Changing the appearance in RStudio
6
Installing packages in R and using the library

The building blocks of R

1
Creating an object in R
2
Exercise 1 Creating an object in R
3
Data types in R - Integers and doubles
4
Data types in R - Characters and logicals
5
Objects and Data Types
6
Exercise 2 Data types in R
7
Coercion rules in R
8
Exercise 3 Coercion rules in R
9
Functions in R
10
Exercise 4 Using functions in R
11
Functions and arguments
12
Exercise 5 The arguments of a function
13
Building a function in R (basics)
14
Objects and Functions
15
Exercise 6 Building a function in R
16
Using the script vs. using the console

Vectors and vector operations

1
Intro
2
Introduction to vectors
3
Vector recycling
4
Exercise 7 Vector recycling
5
Naming a vector in R
6
Exercise 8 Vector attributes - names
7
Introduction to vectors
8
Getting help with R
9
Getting Help with R
10
Slicing and indexing a vector in R
11
Extracting elements from a vector
12
Exercise 9 Indexing and slicing a vector
13
Changing the dimensions of an object in R
14
Exercise 10 Vector attributes - dimensions

Matrices

1
Creating a matrix in R
2
Faster code: creating a matrix in a single line of code
3
Creating a matrix
4
Exercise 11 Creating a matrix in R
5
Do matrices recycle?
6
Indexing an element from a matrix
7
Slicing a matrix in R
8
Exercise 12 Indexing and slicing a matrix
9
Matrix arithmetic
10
Exercise 13 Matrix arithmetic
11
Matrix operations in R
12
Matrix operations
13
Exercise 14 Matrix operations
14
Categorical data
15
Creating a factor in R
16
Factors in R
17
Exercise 15 Creating a factor in R
18
Lists in R
19
Exercise: Lists in R
20
Completed 33% of the course

Fundamentals of programming with R

1
Relational operators in R
2
Logical operators in R
3
Vectors and logicals operators
4
Relational and Logical operators in R
5
Exercise Logical operators
6
If, else, else if statements in R
7
Exercise If, else, else if statements in R
8
If, else, else if statements - Keep-In-Mind's
9
For loops in R
10
Exercise: For Loops in R
11
While loops in R
12
Exercise: While loops in R
13
Repeat loops in R
14
Loops in R
15
Building a function in R 2.0
16
Building a function in R 2.0 - Scoping
17
Exercise Scoping
18
Completed 50% of the course

Data frames

1
Intro
2
Creating a data frame in R
3
Exercise 16 Creating a data frame in R
4
The Tidyverse package
5
Data import in R
6
Importing a CSV in R
7
Data export in R
8
Exercise 17 Importing and exporting data in R
9
Creating data frames
10
Getting a sense of your data frame
11
Indexing and slicing a data frame in R
12
Data frame operations
13
Extending a data frame in R
14
Exercise 18 Data frame operations
15
Dealing with missing data in R

Manipulating data

1
Intro
2
Data transformation with R - the Dplyr package - Part I
You can view and review the lecture materials indefinitely, like an on-demand channel.
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!
4.5
4.5 out of 5
3235 Ratings

Detailed Rating

Stars 5
1698
Stars 4
1196
Stars 3
277
Stars 2
35
Stars 1
23
30-Day Money-Back Guarantee

Includes

6 hours on-demand video
39 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion
R Programming for Statistics and Data Science 2021
Price:
$198.98 $169

Community

For Professionals

For Businesses

We support Sales, Marketing, Account Management and CX professionals. Learn new skills. Share your expertise. Connect with experts. Get inspired.

Community

Partnership Opportunities

Layer 1
samcx.com
Logo
Register New Account
Compare items
  • Total (0)
Compare
0