Learn from Home Offer

Learn from Home Offer
This R Programming Course includes 36 courses with 115+ hours of video tutorials and Lifetime access and several mock tests for practice. You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of them. 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.
Courses | You get access to all 36 courses, Projects bundle. You do not need to purchase each course separately. |
Hours | 115+ Video Hours |
Core Coverage | R Programming, Machine learning using R, Business Analytics using R, Data Visualizing using R, Customer Analytics using R, Marketing Analytics using R |
Course Validity | Lifetime Access |
Eligibility | Anyone serious about learning R Programming and wants to make a career in this Field |
Pre-Requisites | Familiarity with R programming language is recommended |
What do you get? | Certificate of Completion for each of the 36 courses, Projects |
Certification Type | Course Completion Certificates |
Verifiable Certificates? | Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced R Programming skills |
Type of Training | Video Course – Self Paced Learning |
Let’s now briefly understand the R Programming courses we are offering in this Bundle.
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
R Studio UI and R Script Basics | 4h 12m | ✔ | |
Decision Trees Modeling using R | 1h 4m | ✔ | |
Decision Trees - Bank Loan Default Prediction using R | 1h 47m | ✔ | |
Logistic Regression & Supervised Machine Learning with R | 4h 14m | ✔ | |
Project on ML - Churn Prediction Model using R Studio | 1h 22m | ✔ | |
R Programming for Data Science | A Complete Courses to Learn | 5h 7m | ✔ | |
Test - R Programming Basic Test | |||
Test - Test Series R Programming | |||
Test - 2023 R Programming Exam | |||
Test - R Programming Complete Exam | |||
Test - R Programming Practice Test |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Supervised Machine Learning with R 2023 - Linear Regression | 3h 05m | ✔ | |
Machine Learning with R | 20h 28m | ✔ | |
Time Series Analysis and Forecasting using R | 4h 23m | ✔ | |
Project - Fraud Analytics using R | 2h 34m | ✔ | |
Project - Marketing Analytics using R and Microsoft Excel | 2h 9m | ✔ | |
Case Study - Customer Analytics using Tableau and R | 2h 7m | ✔ | |
Case Study - Pricing Analytics using Tableau and R | 2h 39m | ✔ | |
Cluster Analysis and Unsupervised Machine Learning - K-Means Clustering using R | 43m | ✔ | |
Machine Learning Project using Caret in R | 1h 58m | ✔ | |
Test - Machine Learning Assessment | |||
Test - ML Assessment Exam | |||
Test - Mock Exam Machine Learning | |||
Test - Complete Machine Learning Exam | |||
Test - Machine Learning Ultimate Exam |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Business Analytics using R - Hands-on! | 16h 21m | ✔ | |
Data Science with R | 6h 2m | ✔ | |
Comprehensive Course on R | 3h 54m | ✔ | |
Project - Market Basket Analysis in R | 37m | ✔ | |
Project - Hypothesis Testing using R | 3h 6m | ✔ | |
Data Visualization with R Shiny - The Fundamentals | 39m | ✔ | |
R Studio Anova Techniques Course | 2h 18m | ✔ | |
Test - R Programming Basic Test | |||
Test - Test Series R Programming | |||
Test - 2023 R Programming Exam | |||
Test - R Programming Complete Exam | |||
Test - R Programming Practice Test |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression | 2h 07m | ✔ | |
Project on R - HR Attrition and Analytics | 2h 4m | ✔ | |
Predictive Analytics Model for Term Deposit Investment with R Studio | 3h 2m | ✔ | |
Project on R - Card Purchase Prediction | 2h 28m | ✔ | |
Random Forest Techniques and R - Employee Attrition Prediction | 1h 6m | ✔ | |
Predictive Analytics Model for Term Deposit Investment using CART Algorithm | 1h 38m | ✔ | |
Machine Learning Project using Caret in R | 1h 58m | ✔ | |
Cluster Analysis and Unsupervised Machine Learning - K-Means Clustering using R | 43m | ✔ | |
R Practical - Telecom Customer Churn Prediction | 1h 27m | ✔ |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Financial Analytics in R - Beginners | 3h 53m | ✔ | |
Quantitative Analysis Using R | 2h 25m | ✔ | |
R for Finance - Beginners to Beyond | 2h 17m | ✔ | |
Financial Analytics in R - Intermediate | 1h 28m | ✔ | |
Financial Analytics in R - Advanced | 1h 35m | ✔ |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Test - Machine Learning Ultimate Exam | |||
Test - R Programming Practice Test | |||
Test - Complete Machine Learning Exam | |||
Test - R Programming Complete Exam | |||
Test - Mock Exam Machine Learning | |||
Test - 2023 R Programming Exam | |||
Test - ML Assessment Exam | |||
Test - Test Series R Programming | |||
Test - Machine Learning Assessment | |||
Test - R Programming Basic Test |
This course aims at providing end to end technical expertise required for accomplishing challenging tasks in day to day activity of being an R programmer. This course also has elements of machine learning technologies to provide expertise in that field specifically in R.
In the current scenario where we produce 2.5 quintillion bytes (1 quintillion bytes = 1018 bytes!) of data every day, it becomes imperative for an organization to look for someone who is a master in understanding the data and derive meaningful insights from there. Post completion of the course it will be a cakewalk for learners to look at the data perform some exploratory data analysis on that and provide meaningful insights for the data. R is a statistically powerful tool that aims at providing powerful statistics of the data fed into that. This course will also enable you to use libraries in R specifically designed to get the output of insights either graphically or matrix formation.
Our course acts in the same way as a beginner or an advanced learner. During the course itself one would gain enough confidence to take up challenging data science project in R in real-life and to make this happen here are some key highlights of what you as a learner would sign up for:
This course will not only strengthen your grasp in this technology by teaching technical terms but with this course, one would gain immense exposure to hands-on experience in completing real-time projects. Learning through practicing will enable better grasping of technical details. Some of the highlights of projects from this training are:
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.
Yes, with some motivation and determination you shall 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.
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.
Our course is regularly updated and relevant use-cases and examples are added from time to time to make sure it stays focused on current demand and thus teaches the skills that the student needs to learn.
The R Programming Training 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 can present the theory and the code behind each lecture, using a clear, concise and complete example. Recommended for beginners and nice job from the instructor.
Linked
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
R Programming Training Course is quite informative with exposure to 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, acquisition and overall experience of the customers.
Linked
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
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Cyber Monday Reloaded Price Drop!
Offer Ends inCourses | No. of Hours | |
---|---|---|
R Studio UI and R Script Basics | 4h 12m | |
Decision Trees Modeling using R | 1h 4m | |
Decision Trees - Bank Loan Default Prediction using R | 1h 47m | |
Logistic Regression & Supervised Machine Learning with R | 4h 14m | |
Project on ML - Churn Prediction Model using R Studio | 1h 22m | |
R Programming for Data Science | A Complete Courses to Learn | 5h 7m | |
Supervised Machine Learning with R 2023 - Linear Regression | 3h 05m | |
Machine Learning with R | 20h 28m | |
Time Series Analysis and Forecasting using R | 4h 23m | |
Project - Fraud Analytics using R | 2h 34m | |
Project - Marketing Analytics using R and Microsoft Excel | 2h 9m | |
Case Study - Customer Analytics using Tableau and R | 2h 7m | |
Case Study - Pricing Analytics using Tableau and R | 2h 39m | |
Cluster Analysis and Unsupervised Machine Learning - K-Means Clustering using R | 1h 13m | |
Machine Learning Project using Caret in R | 1h 58m | |
Business Analytics using R - Hands-on! | 16h 21m | |
Data Science with R | 6h 2m | |
Comprehensive Course on R | 3h 54m | |
Project - Market Basket Analysis in R | 1h 3m | |
Project - Hypothesis Testing using R | 3h 6m | |
Data Visualization with R Shiny - The Fundamentals | 1h 6m | |
R Studio Anova Techniques Course | 2h 18m | |
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression | 2h 07m | |
Project on R - HR Attrition and Analytics | 2h 4m | |
Predictive Analytics Model for Term Deposit Investment with R Studio | 3h 2m | |
Project on R - Card Purchase Prediction | 2h 28m | |
Random Forest Techniques and R - Employee Attrition Prediction | 1h 6m | |
Predictive Analytics Model for Term Deposit Investment using CART Algorithm | 1h 38m | |
R Practical - Telecom Customer Churn Prediction | 1h 27m | |
Financial Analytics in R - Beginners | 3h 53m | |
Quantitative Analysis Using R | 2h 25m | |
R for Finance - Beginners to Beyond | 2h 17m | |
Financial Analytics in R - Intermediate | 1h 28m | |
Financial Analytics in R - Advanced | 1h 35m |
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