R Programming Course

R Programming Training Course

This R Programming Course includes 15 comprehensive R Programming courses with 75+ hours of video tutorials and Lifetime Access. It is an amazing collection of practical and hands-on learning of the most updated training programs and projects in the area of R Programming. You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of the 15 courses. It will explain you R Programming, Machine learning using R, Business Analytics using R, Data Visualization using R, Customer Analytics using R, Marketing Analytics using R among others.

All of these R Programming courses provide enough examples and hands-on practice materials that even the beginners in R Programming can understand them with ease.

Let’s now briefly understand the R Programming courses we are offering in this Bundle.

Certificate of Completion

• Some understanding of mathematics and statistics is recommended so that it becomes easy to understand the concepts discussed in the class.
• If there is any familiarity with one programming language, then it becomes very easy for leaner. However, the course does not expect that and hence teaches the programming skill from the beginning.
• It requires that one has a technical background such as a degree in mathematics, statistics, basic science or engineering. Otherwise, the course may become quite challenging at times.

Target Audience for this R Programming Training

• Prospective data scientists: – those who want to become a data scientist can join this R Programming course and learn about the essentials of r programming. Such candidates could be both freshers as well as working professional. This course is suitable for both. It has been designed considering no experience what so ever in programming or data science.
• Managers and leaders:- Those candidates who want to set-up a data science team, or wants to guide and lead an existing data science team can also benefit from this R Programming course. They may probably not be interested in coding and hands-on exercises which is fine. They can grab the concepts at a high level and then while working get the things done by the team.
• It is expected that the candidates have a technical background such as a degree in mathematics, statistics, basic science or engineering to make the most out of this course. Technical people are more likely to understand the lectures then the non-technical people.

R Programming Course FAQ’s- General Questions

How difficult is this R programming course to follow?

This R Programming course is not very difficult, but it is not too easy too. If one spends some 30-4 hours per week and do all assignments on time, they will understand everything. Most students find it difficult because they do not adhere to the timelines.

Will I be able to finish this R programming course while working?

Yes, with some motivation and determination you shall definitely be able to pass the course.

All that you need to do it to study regularly and complete exercises on time. You only need to spend 3-4 hours per week and hence we believe it should not be challenging for working people.

Will this R programming course help me in changing my job?

Many of our students changed their job and got a hike post this R Programming course and thus we believe you could also be able to do so. Don’t bother about hike and job change, first learn the course well, if you could do so, you will be able to crack interviews.

Does this R programming course connect with industry requirement?

Our course is regularly updates and relevant use-cases and examples are added time to time to make sure it stays focused on current demand and thus teaches the skills that the student really need to learn.

Sample Preview of this R Programming Course

Career Benefits of this Training on R Programming

Career benefits come in many forms for our students. Many of our students switched to better jobs after going through this course. Many others started their own start-ups and consulting business as well. One of our students became so attached to statistics and machine learning that he is now doing Ph.D. into machine learning full time.

Thus, career benefit depends upon individual candidates’ aspirations. If you are looking for a job change or even wants to move internally within your organization for a data-science based role, you could do so after this course as many of our students did. If you are a fresher who is looking for a job of future and is not just willing to do usual software engineering job such as web development or testing, this course could bring the real difference in your career and life goal.

Thus, what we suggest to our students is not to worry too much about benefits, first learn the concepts, learn the skill, get fully confident with coding and solving problems and then you shall surely be able to get your reward because if you do so much hard-work then you only will get the benefit, not the third person. R programming course is more relevant today than ever before and this more than 70 hours, of course, covers everything that a student actually needs with practice and use cases too.

R Programming Course Testimonials

A nice introduction in R for beginners

The course provides a nice overview of the R programming language and I believe that it is a nice introduction for beginners that want to get involved with statistics and mathematics. The instructor is able to present the theory and the code behind the each lecture, using clear, concise and complete example. Recommended for beginners and nice job from the instructor.
Linked

Dimitris Moustakas

R Programming

Definitely a deep-dive worth taking, this R Programming course about R fundamentals highlights the use, benefits, features and much much more about the language – quite in depth. I lacked only the exercises to practice all this theory and although at times the lessons were slightly repetitive, overall it is worth it!
Linked

Miguel Gomes Monteiro

Marketing Analytics using R and Excel

R Programming Course is quite informative with exposure in commonly used techniques in marketing. It covers topics like conjoint analysis, market basket analysis, logistic regression to leverage the customer data to support the marketing strategies to improve retention, aquisition and overall experience of the customers.
Linked

Ankit Tyagi

Pricing Analytics

It was a very comprehensive course with nice examples. It helped me in all aspects of pricing analytics like -descriptive, predictive and prescriptive. The explanation is supplemented with small exercises that help in gaining hands on experience of a business problem. The case studies are carefully picked to explain the concepts. It helped me gain a better understanding of the market. Very helpful.
Linked

Abbas Singapurwala