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R Programming for Statistics and Data Science 2022

R Programming for Data Science & Data Analysis. Applying R for Statistics and Data Visualization with GGplot2 in R
4.5
4.5/5
(4,016 reviews)
23,310 students
Created by

9.2

Classbaze Grade®

8.4

Freshness

9.0

Popularity

9.5

Material

R Programming for Data Science & Data Analysis. Applying R for Statistics and Data Visualization with GGplot2 in R
Platform: Udemy
Video: 6h 41m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

9.2 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

8.4 / 10
This course was last updated on 1/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

9.0 / 10
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.5 / 10
Video Score: 8.6 / 10
The course includes 6h 41m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 00 minutes of 161 R courses on Udemy.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

39 articles.
36 resources.
0 exercise.
0 test.

In this page

About the course

R Programming for Statistics and Data Science 2022
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 🙂

What can you learn from this course?

✓ 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

What you need to start the course?

• You’ll need to install R Studio. We will show you how to do it in one of the first lectures of the course
• All software and data used in the course are free.

Who is this course is made for?

• Aspiring data scientists
• Beginners to programming
• People interested in statistics and data analysis
• Anyone who wants to learn how to code and apply their skills in practice

Are there coupons or discounts for R Programming for Statistics and Data Science 2022 ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $18.7 of 161 R courses. So this course is 20% cheaper than the average R course on Udemy.

Will I be refunded if I'm not satisfied with the R Programming for Statistics and Data Science 2022 course?

YES, R Programming for Statistics and Data Science 2022 has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the R Programming for Statistics and Data Science 2022 course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust 365 Careers?

365 Careers has created 80 courses that got 554,516 reviews which are generally positive. 365 Careers has taught 1,905,708 students and received a 4.6 average review out of 554,516 reviews. Depending on the information available, we think that 365 Careers is an instructor that you can trust.
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9.2

Classbaze Grade®

8.4

Freshness

9.0

Popularity

9.5

Material

Platform: Udemy
Video: 6h 41m
Language: English
Next start: On Demand

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