Key features


How this works :

At Simplilearn, we greatly value the trust of our patrons. Our courses were designed to deliver an effective learning experience, and have helped over half a million find their professional calling. But if you feel your course is not to your liking, we offer a 7-day money-back guarantee. Just send us a refund request within 7 days of purchase, and we will refund 100% of your payment, no questions asked!

For Self Placed Learning :

Raise refund request within 7 days of purchase of course. Money back guarantee is void if the participant has accessed more than 25% content.

For Instructor Led Training :

Raise refund request within 7 days of commencement of the first batch you are eligible to attend. Money back guarantee is void if the participant has accessed more than 25% content of an e-learning course or has attended Online Classrooms for more than 1 day.

  • 40 hours of instructor-led training
  • 24 hours of self-paced video
  • 8 real-life industry projects in retail, insurance, finance, airlines and other domains
  • Hands-on practice with R CloudLab
  • Includes statistical concepts such as regression and cluster analysis
  • Includes “Business Analytics with Excel” course

Course description

  • Why Should I Learn Data Science with R from Simplilearn in Delhi ?

    • This data science course forms an ideal package for data analysts in Delhi, who are aspiring to build a successful career in analytics/data science. By the end of this training, participants will acquire a 360-degree overview of business analytics and R by mastering concepts like data exploration, data visualization, predictive analytics, etc
    • According to, the advanced analytics market will be worth $29.53 Billion by 2019
    • points to a report by Glassdoor that the average salary of a data scientist is $118,709
    • Randstad reports that pay hikes in the analytics industry are 50% higher than IT

  • What are the course objectives?

    The Data Science Certification with R has been designed to give you in-depth knowledge of the various data analytics techniques that can be performed using R. The data science course is packed with real-life projects and case studies, and includes R CloudLab for practice.
    • Mastering R language: The data science course provides an in-depth understanding of the R language, R-studio, and R packages. You will learn the various types of apply functions including DPYR, gain an understanding of data structure in R, and perform data visualizations using the various graphics available in R.
    • Mastering advanced statistical concepts: The data science training course also includes various statistical concepts such as linear and logistic regression, cluster analysis and forecasting. You will also learn hypothesis testing.
    • As a part of the data science with R training course, you will be required to execute real-life projects using CloudLab. The compulsory projects are spread over four case studies in the domains of healthcare, retail, and Internet. R CloudLab has been provided to ensure you get practical, hands-on experience with your new skills. Four additional projects are also available for further practice.

  • What skills will you learn?

    This data science training course will enable you to:
    • Gain a foundational understanding of business analytics
    • Install R, R-studio, and workspace setup, and learn about the various R packages
    • Master R programming and understand how various statements are executed in R
    • Gain an in-depth understanding of data structure used in R and learn to import/export data in R
    • Define, understand and use the various apply functions and DPLYP functions
    • Understand and use the various graphics in R for data visualization
    • Gain a basic understanding of various statistical concepts
    • Understand and use hypothesis testing method to drive business decisions
    • Understand and use linear, non-linear regression models, and classification techniques for data analysis
    • Learn and use the various association rules and Apriori algorithm
    • Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering

  • Who are eligible for taking this data science course in Delhi?

    There is an increasing demand for skilled data scientists across all industries, making this data science certification course well-suited for participants at all levels of experience. We recommend this Data Science training particularly for the following professionals:
    • IT professionals looking for a career switch into data science and analytics
    • Software developers looking for a career switch into data science and analytics
    • Professionals working in data and business analytics
    • Graduates looking to build a career in analytics and data science
    • Anyone with a genuine interest in the data science field
    • Experienced professionals who would like to harness data science in their fields
    Prerequisites: There are no prerequisites for this data science online training course. If you are new in the field of data science, this is the best course to start with.

  • What is CloudLab?

    CloudLab is a cloud-based R lab offered with this data science course to ensure hassle-free execution of the project work included. With CloudLab, you do not need to install and maintain R on a virtual machine. Instead, you’ll be able to access a preconfigured environment on CloudLab via your browser.

    You can access CloudLab from the Simplilearn LMS (Learning Management System) for the duration of the course.

  • What projects are included in this course?

    The data science certification course includes eight real-life, industry-based projects on R CloudLab. Successful evaluation of one of the following four projects is a part of the certification eligibility criteria.

    Project 1:
    Healthcare: Predictive analytics can be used in healthcare to mediate hospital readmissions. In healthcare and other industries, predictors are most useful when they can be transferred into action. But historical and real-time data alone are worthless without intervention. More importantly, to judge the efficacy and value of forecasting a trend and ultimately changing behavior, both the predictor and the intervention must be integrated back into the same system and workflow where the trend originally occurred.

    Project 2:
    Insurance: Use of predictive analytics has increased greatly in insurance businesses, especially for the biggest companies, according to the 2013 Insurance Predictive Modeling Survey. While the survey showed an increase in predictive modeling throughout the industry, all respondents from companies that write over $1 billion in personal insurance employ predictive modeling, compared to 69% of companies with less than that amount of premium.

    Project 3:
    Retail: Analytics is used in optimizing product placements on shelves or optimization of inventory to be kept in the warehouses using industry examples. Through this project, participants learn the daily cycle of product optimization from the shelves to the warehouse. This gives them insights into regular occurrences in the retail sector.

    Project 4:
    Internet: Internet analytics is the collection, modeling and analysis of user data in large-scale online services such as social networking, e-commerce, search and advertisement. In this class, we explore a number of key functions of such online services that have become ubiquitous over the last couple of years. Specifically, we look at social and information networks, recommender systems, clustering and community detection, dimensionality reduction, stream computing and online ad auctions.

    Four additional projects have been provided to help learners master the R language.

    Project 5:
    Music Industry: Details of listener preferences are recorded online. This data is not only used for recommending music that the listener is likely to enjoy but also to drive a focused marketing strategy that sends out advertisements for music that a listener may wish to buy. Using the demographic data, predict the music preferences of the user for targeted advertising.

    Project 6:
    Finance: You’ll predict whether someone will default or not default on a loan based on user demographic data. You’ll perform logistic regression by considering the loan’s features and the characteristics of the borrower as explanatory variables.

    Project 7:
    Unemployment: Analyze the monthly, seasonally-adjusted unemployment rates for U.S. employment data of all 50 states, covering the period from January 1976 through August 2010. The requirement is to cluster the states into groups that are alike using a feature vector.

    Project 8:
    Airline: Flight delays are frequently experienced when flying from the Washington DC area to the New York City area. By using logistical regression, you’ll identify flights that are likely to be delayed. The provided data set helps with a number of variables including airports and flight times.


Course preview

    • Lesson 00 - Course Introduction 01:31
      • Course Introduction01:31
    • Lesson 01 - Introduction to Business Analytics 21:06
      • 1.001 Overview00:44
      • 1.002 Business Decisions and Analytics04:33
      • 1.003 Types of Business Analytics03:53
      • 1.004 Applications of Business Analytics08:57
      • 1.005 Data Science Overview01:29
      • 1.006 Conclusion01:30
      • Knowledge Check
    • Lesson 02 - Introduction to R Programming 26:35
      • 2.001 Overview00:31
      • 2.002 Importance of R05:20
      • 2.003 Data Types and Variables in R02:14
      • 2.004 Operators in R04:39
      • 2.005 Conditional Statements in R02:45
      • 2.006 Loops in R05:07
      • 2.007 R script01:44
      • 2.008 Functions in R02:58
      • 2.009 Conclusion01:17
      • Knowledge Check
    • Lesson 03 - Data Structures 50:57
      • 3.001 Overview01:04
      • 3.002 Identifying Data Structures13:14
      • 3.003 Demo Identifying Data Structures14:05
      • 3.004 Assigning Values to Data Structures04:51
      • 3.005 Data Manipulation09:23
      • 3.006 Demo Assigning values and applying functions07:46
      • 3.007 Conclusion00:34
      • Knowledge Check
    • Lesson 04 - Data Visualization 29:40
      • 4.001 Overview00:29
      • 4.002 Introduction to Data Visualization03:03
      • 4.003 Data Visualization using Graphics in R18:50
      • 4.004 ggplot205:14
      • 4.005 File Formats of Graphic Outputs01:08
      • 4.006 Conclusion00:56
      • Knowledge Check
    • Lesson 05 - Statistics for Data Science-I 14:19
      • 5.001 Overview00:21
      • 5.002 Introduction to Hypothesis02:06
      • 5.003 Types of Hypothesis03:16
      • 5.004 Data Sampling02:48
      • 5.005 Confidence and Significance Levels04:39
      • 5.006 Conclusion01:09
      • Knowledge Check
    • Lesson 06 - Statistics for Data Science-II 29:55
      • 6.001 Overview00:28
      • 6.002 Hypothesis Test00:47
      • 6.003 Parametric Test14:36
      • 6.004 Non-Parametric Test08:31
      • 6.005 Hypothesis Tests about Population Means02:09
      • 6.006 Hypothesis Tests about Population Variance00:45
      • 6.007 Hypothesis Tests about Population Proportions01:11
      • 6.008 Conclusion01:28
      • Knowledge Check
    • Lesson 07 - Regression Analysis 45:04
      • 7.001 Overview00:26
      • 7.002 Introduction to Regression Analysis01:11
      • 7.003 Types of Regression Analysis Models01:38
      • 7.004 Linear Regression08:59
      • 7.005 Demo Simple Linear Regression07:29
      • 7.006 Non-Linear Regression03:49
      • 7.007 Demo Regression Analysis with Multiple Variables13:29
      • 7.008 Cross Validation01:48
      • 7.009 Non-Linear to Linear Models02:06
      • 7.010 Principal Component Analysis02:45
      • 7.011 Factor Analysis00:26
      • 7.012 Conclusion00:58
      • Knowledge Check
    • Lesson 08 - Classification 1:05:14
      • 8.001 Overview00:31
      • 8.002 Classification and Its Types04:24
      • 8.003 Logistic Regression03:35
      • 8.004 Support Vector Machines04:26
      • 8.005 Demo Support Vector Machines11:13
      • 8.006 K-Nearest Neighbours02:34
      • 8.007 Naive Bayes Classifier02:53
      • 8.008 Demo Naive Bayes Classifier06:15
      • 8.009 Decision Tree Classification09:47
      • 8.010 Demo Decision Tree Classification06:25
      • 8.011 Random Forest Classification02:01
      • 8.012 Evaluating Classifier Models06:04
      • 8.013 Demo K-Fold Cross Validation04:09
      • 8.014 Conclusion00:57
      • Knowledge Check
    • Lesson 09 - Clustering 28:10
      • 9.001 Overview00:17
      • 9.002 Introduction to Clustering02:57
      • 9.003 Clustering Methods07:47
      • 9.004 Demo K-means Clustering11:15
      • 9.005 Demo Hierarchical Clustering05:02
      • 9.006 Conclusion00:52
      • Knowledge Check
    • Lesson 10 - Association 23:13
      • 10.001 Overview00:15
      • 10.002 Association Rule06:20
      • 10.003 Apriori Algorithm05:19
      • 10.004 Demo Apriori Algorithm10:37
      • 10.005 Conclusion00:42
      • Knowledge Check
    • Lesson 00 - Introduction 05:27
      • 0.1 Course Introduction05:27
    • Lesson 01 - Introduction to Business Analytics 09:52
      • 1.1 Introduction02:15
      • 1.2 What Is in It for Me00:10
      • 1.3 Types of Analytics02:18
      • 1.4 Areas of Analytics04:06
      • 1.5 Quiz
      • 1.6 Key Takeaways00:52
      • 1.7 Conclusion00:11
    • Lesson 02 - Formatting Conditional Formatting and Important Fuctions 38:29
      • 2.1 Introduction02:12
      • 2.2 What Is in It for Me00:21
      • 2.3 Custom Formatting Introduction00:55
      • 2.4 Custom Formatting Example03:24
      • 2.5 Conditional Formatting Introduction00:44
      • 2.6 Conditional Formatting Example101:47
      • 2.7 Conditional Formatting Example202:43
      • 2.8 Conditional Formatting Example301:37
      • 2.9 Logical Functions04:00
      • 2.10 Lookup and Reference Functions00:28
      • 2.11 VLOOKUP Function02:14
      • 2.12 HLOOKUP Function01:19
      • 2.13 MATCH Function03:13
      • 2.14 INDEX and OFFSET Function03:50
      • 2.15 Statistical Function00:24
      • 2.16 SUMIFS Function01:27
      • 2.17 COUNTIFS Function01:13
      • 2.18 PERCENTILE and QUARTILE01:59
      • 2.19 STDEV, MEDIAN and RANK Function03:02
      • 2.20 Exercise Intro00:35
      • 2.21 Exercise
      • 2.22 Quiz
      • 2.23 Key Takeaways00:53
      • 2.24 Conclusion00:09
    • Lesson 03 - Analyzing Data with Pivot Tables 19:32
      • 3.1 Introduction01:47
      • 3.2 What Is in It for Me00:22
      • 3.3 Pivot Table Introduction01:03
      • 3.4 Concept Video of Creating a Pivot Table02:47
      • 3.5 Grouping in Pivot Table Introduction00:24
      • 3.6 Grouping in Pivot Table Example 101:42
      • 3.7 Grouping in Pivot Table Example 201:57
      • 3.8 Custom Calculation01:14
      • 3.9 Calculated Field and Calculated Item00:25
      • 3.10 Calculated Field Example01:22
      • 3.11 Calculated Item Example02:52
      • 3.12 Slicer Intro00:35
      • 3.13 Creating a Slicer01:22
      • 3.14 Exercise Intro00:58
      • 3.15 Exercise
      • 3.16 Quiz
      • 3.17 Key Takeaways00:35
      • 3.18 Conclusion00:07
    • Lesson 04 - Dashboarding 32:07
      • 4.1 Introduction01:18
      • 4.2 What Is in It for Me00:18
      • 4.3 What is a Dashboard00:45
      • 4.4 Principles of Great Dashboard Design02:16
      • 4.5 How to Create Chart in Excel02:26
      • 4.6 Chart Formatting01:45
      • 4.7 Thermometer Chart03:32
      • 4.8 Pareto Chart02:26
      • 4.9 Form Controls in Excel01:08
      • 4.10 Interactive Dashboard with Form Controls04:13
      • 4.11 Chart with Checkbox05:48
      • 4.12 Interactive Chart04:37
      • 4.13 Exercise Intro00:55
      • 4.14 Exercise1
      • 4.15 Exercise2
      • 4.16 Quiz
      • 4.17 Key Takeaways00:34
      • 4.18 Conclusion00:06
    • Lesson 05 - Business Analytics With Excel 25:48
      • 5.1 Introduction02:12
      • 5.2 What Is in It for Me00:24
      • 5.3 Concept Video Histogram05:18
      • 5.4 Concept Video Solver Addin05:00
      • 5.5 Concept Video Goal Seek02:57
      • 5.6 Concept Video Scenario Manager04:16
      • 5.7 Concept Video Data Table02:03
      • 5.8 Concept Video Descriptive Statistics01:58
      • 5.9 Exercise Intro00:52
      • 5.10 Exercise
      • 5.11 Quiz
      • 5.12 Key Takeaways00:39
      • 5.13 Conclusion00:09
    • Lesson 06 - Data Analysis Using Statistics 31:57
      • 6.1 Introduction01:51
      • 6.2 What Is in It for Me00:21
      • 6.3 Moving Average02:50
      • 6.4 Hypothesis Testing04:20
      • 6.5 ANOVA02:47
      • 6.6 Covariance01:56
      • 6.7 Correlation03:38
      • 6.8 Regression05:15
      • 6.9 Normal Distribution06:49
      • 6.10 Exercise1 Intro00:34
      • 6.11 Exercise 1
      • 6.12 Exercise2 Intro00:17
      • 6.13 Exercise 2
      • 6.14 Exercise3 Intro00:19
      • 6.15 Exercise 3
      • 6.16 Quiz
      • 6.17 Key Takeaways00:52
      • 6.18 Conclusion00:08
    • Lesson 07 - Power BI 14:01
      • 7.1 Introduction01:17
      • 7.2 What Is in It for Me00:18
      • 7.3 Power Pivot04:16
      • 7.4 Power View02:36
      • 7.5 Power Query02:45
      • 7.6 Power Map02:06
      • 7.7 Quiz
      • 7.8 Key Takeaways00:32
      • 7.9 Conclusion00:11
    • Statistics Essential for Data Science 30:50
      • Statistics for Data Science30:50
    • {{childObj.title}}
      • {{childObj.childSection.chapter_name}}
        • {{lesson.title}}
      • {{lesson.title}}

    View More

    View Less

Exam & certification FREE PRACTICE TEST

  • How do an Data Science Professional can get R-Programming Certificate, getting training in Delhi from Simplilearn?

    To become a Certified Data Scientist with R, you must fulfill the following criteria:
    • Complete any one project out of the four provided in the course. Submit the deliverables of the project in the LMS which will be evaluated by our lead trainer
    • Score a minimum of 60% in any one of the two simulation tests
    • Complete 85% of the Simplilearn’s data science course
    • Note: When you have completed the data science certification course, you will receive a three-month experience certificate for implementing the projects using R from Simplilearn.
    • It is mandatory that you fulfill both the criteria (completion of any one project and passing the online exam with minimum score of 80%) to become an R-Certified data scientist.

  • What do I need to do to unlock my Simplilearn certificate?

    Online Classroom:
    • Attend one complete batch.
    • Complete 1 project and 1 simulation test with a minimum score of 60%.
    Online Self-Learning:
    • Complete 85% of the course.
    • Complete 1 project

  • What are the Benefits of Taking Data Science Certification Course in Delhi?

    Businesses and recruiters prefer marketing professionals with genuine knowledge, skills, and experience verified by a certification that is accepted across industries. Continuous learning for any working professional is not only important for keeping themselves up to date with the current market trends, but it also helps them expand their array of skill set and become more flexible in the workplace.

    This Data Science course will not only help learners stand out and polish their existing skillset in the marketing domain, but it will also help them take that necessary leap to bigger and more ambitious roles.

  • What is the Duration of this Data Science Certifications Training Course offered by Simplilearn in Delhi?

    Simplilearn’s Data Science Certification  Course has two learning methodologies.

    • One is the Self-paced e-Learning methodology that has a validity of 180 days (6 months) where learners can work at their own pace through high quality e-learning video modules.
    • The second methodology is the Online Classroom Flexi-Pass that has a validity of 180 days (6 months) of high quality e-learning videos plus 90 days of access to 5+ instructor-led online training classes.

  • How Much does the Data Science Certification Training Course Cost in Delhi?

    Simplilearn’s Data Science Cost is priced at INR 14,999/- for Self Paced Learning and INR 21,999/- for Online Classroom Flexi-Pass.

  • Who provides the certification?

    After successful completion of the Data Science - R Programming training, you will be awarded the course completion certificate from Simplilearn.

  • Is this course accredited?

    No, this course is not officially accredited.

  • How do I pass the Data Science - R Programming course?

    To pass the Data Science - R Programming course, you must: 

    • Complete 85% of the data science course
    • Complete any one project out of the four provided in the course. You will submit the project deliverables in the LMS, which will be evaluated by our lead trainer
    • Score a minimum of 60% in any one of the two simulation tests
    • Pass the online exam with a minimum score of 80%.

  • How long does it take to complete the Data Science course?

    It will take about 40 hours to complete the certification course successfully.

  • How many attempts do I have to pass the Data Science - R Programming course exam?

    You have a maximum of three attempts to pass the Data Science - R Programming certification exam. Simplilearn provides guidance and support for learners to help them pass the exam. 

  • How long is the Data Science - R Programming course certificate from Simplilearn valid for?

    The Data Science - R Programming course certification from Simplilearn has a lifelong validity.
    If I fail the Data Science - R Programming exam, how, soon can I retake it?
    You can re-attempt it immediately.

  • If I pass the Data Science - R Programming certification course exam, when and how do I receive my certificate?

    Upon successful completion of the course and passing the exam, you will receive the certificate through our Learning Management System which you can download or share via email or Linkedin.

  • Do you offer a money back guarantee?

    Yes. We do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.

  • If I fail the Data Science - R Programming exam, how , soon can I retake it?

    You can re-attempt it immediately.


Tanvi Malhotra
Tanvi Malhotra Lead Business Analyst at American Express, Delhi

I love the fact that the trainer has worked an extra mile to create a practice session for us -- it's helpful!

Kumar Anurag
Kumar Anurag Digital Team Lead at Microsoft, Delhi

I liked the way the sessions were conducted.

Rahul Jain
Rahul Jain MBA Candidate - Fore School Of Management, Delhi

This course helped me to understand the fundamentals of analytics and at the same time apply those concepts in real world problem via case studies which gave me the detailed understanding of Analytics, R and SAS concepts

Read more Read less
Ashish Ranjan
Ashish Ranjan Data Scientist at Accenture, Pune

Simplilearn is a good platform for starting the data science knowledge. Data Science with R course has helped me to get a rise from a Business Analyst to Data Scientist.

Read more Read less
Samir Swarup
Samir Swarup Associate Software Architect at UST Global, Bangalore

I have enrolled in Data Science with R Programming course at Simplilearn. I had a very good experience with them. Their response time is very fast and extremely helpful in resolving my issues. Highly recommended.

Read more Read less
Ajeya Kumar
Ajeya Kumar Associate Director at IHS Markit, Bangalore

The trainer is excellent. Real-time experiences shared during training are very helpful. Overall I am very happy with the training.

Nimi Gupta
Nimi Gupta Process Associate at GENPACT, Hyderabad

I have enrolled in the Data Science with R from Simplilearn. It is the best platform for learning and career development. The study materials are very effective and are specially designed so that we can easily remember it. The trainers are friendly and knowledgeable. Course timings are flexible which was really helpful for me. Simplilearn is truly an amazing place to learn. Because of this fantastic team, I successfully completed the certification in the first attempt. Thanks to Simplilearn team !!

Read more Read less
Nisar Pasha
Nisar Pasha Student at Miracle educational society, Vishakhapatnam

I have enrolled in Data science with R from Simplilearn. It was a great experience. Their lab access was really helpful. If you are looking for a bright future in your career, go ahead and enroll yourself in online certification training courses for professionals from Simplilearn.

Read more Read less
Manish Beniwal
Manish Beniwal Advisor Reporting - Global Mobility at Rio Tinto, Bangalore

I am Data Analyst with 7 years of work experience, but I didn't have the chance to work with Statistics like I am in this course. Its a good course even for beginners. Overall, the training is very good. Thank you Simplilearn.

Read more Read less
Debashis Sen
Debashis Sen Researcher at S&P Capital IQ, Bangalore

The course material of the Data Science program was well designed for beginners. The presentations were precise and to the point. The mentors in the various sessions were helpful and kept close to the basics. The examples used mirror real life scenarios, hence are very useful. Finally, the members of the CD team were truly delightful!

Read more Read less
Tanvi Malhotra
Tanvi Malhotra Lead Business Analyst, Bangalore

"It was a great experience to learn Data Science with Simplilearn. It is really convenient to learn at your own pace and time. The material is also good. This course has helped me boost my career. Coming from a Consulting firm, it was mandatory to learn data analytics skills. I really feel confident and I truly appreciate Simplilearn for it. Simplilearn is a Master. The reminders and guidance that I received from them was just beyond expectations! Whenever I had any query, it was resolved! Right on time... THANKS SO MUCH!"

Read more Read less
Chirag Bhatia
Chirag Bhatia Graduate Student at University of Texas at Dallas, Bangalore

I enrolled for Data Science with R, SAS and Excel program at Simplilearn after researching a lot of similar websites who offered similar course. The uniqueness of Simplilearn is their course depth combined with good pricing and friendly customer service. I mean this is what one expects when searching for a good online course. My advice: Take their courses. It will give you a good heads-up to your career.

Read more Read less
Aastha Hissaria
Aastha Hissaria Business Analyst at Manthan Software Services, Bangalore

I could recommend Simplilearn to anyone without hesitation. The courses have great depth and they allow you do work on them at your own pace. The course content is regularly updated and the content is presented in a crisp manner. Simplilearn’s course has added weight to my CV. Customer service support provided by them is top-notch. I would like to especially mention Sheena, as she helped me with the various queries I had. Highly recommend people reading this to go through all the courses they have, pick the course that suits you best, and go ahead with Simplilearn.

Read more Read less
Arul Venkat
Arul Venkat Statistician, Bangalore

It was a very useful and good learning experience. I have learnt the basic statistical concepts and real-time data analysis and interpretation. Got proper knowledge of R and SAS tools. Thanks to the entire Simplilearn Team.

Read more Read less
Arijit Ganguly
Arijit Ganguly Research Officer at Institute for Research, Analysis & Policy, India, Hyderabad

This course is very useful for the research professionals and data analysts.

Course advisor

Simon Tavasoli
Simon Tavasoli Analytics Lead at Cancer Care Ontario

Simon is a Data Scientist with 12 years of experience in healthcare analytics. He has a Master’s in Biostatistics from the University of Western Ontario. Simon is passionate about teaching data science and has a number of journal publications in preventive medicine analytics.


  • What are Various Data Science related Job offers available in the Delhi?

    Data Science jobs in Bangalore are present a dime a dozen, which spells good news for professionals. A quick search on Naukri will tell you that over 2600 big data jobs in Delhi are posted on this platform alone. With an R certificate, you could choose from various designations. Here’s a list of Data Science/ Data Scientist roles in New Delhi are: 

    • Data analyst
    • Data scientist
    • Machine Learning Expert
    • Data Engineer
    • Data Architect
    • Business Intelligence Analyst

  • What is the market trend for R certified Data Scientist in the Delhi?

    According to TeamLease, a staffing solutions company, a data scientist with an average working experience of about 5 years has the potential to earn about 75 lakhs per annum, while CAs with the same level of experience earn about 8-15 lakhs and engineers earn 5-8 lakhs. If this salary trend is anything to go by, then the demand for data professionals has never been higher. 

    In 2017, a report by Analytics India Magazine highlighted the rising trend of data-oriented jobs. According to this report, the number of Data Science jobs in India almost doubled in 2017, and over 50,000 positions are yet to be filled. With regard to Indian cities, Delhi & Bangalore holds the title of having the highest number of analytics jobs in India. In 2017, over 25% of all analytics jobs originated in Bangalore. According to Gartner, the self-learning (ML-powered) intelligent systems will continue to reign supreme in the technology marathon through 2020.

  • What are the top Companies offering Data Scientist Jobs in Delhi?

    Several companies in Bangalore are on the lookout for R Certified Data Scientists. According to Naukri, some of the top companies looking out for Data Science professionals in Delhi are Facebook, IBM, Microsoft, Capital One, Airbnb, PWC, Uber, Apple, twitter, linkedin, Cognizant, 

  • What is the Average Salary for Certified Data Science Expert in Delhi?

    According to Payscale, Data Science professionals in Delhi can earn an average of 8 lakhs per year. However, a big data professional with experience can earn up 15 lakhs per annum.

  • What are the System Requirements?

    You will need to download R from the CRAN website and RStudio for your operating system. These are both open source and the installation guidelines are presented in the data science course.

  • Who are our instructors and how are they selected?

    All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty for data science online training.

  • What training formats are used for this course?

    We offer this data science with R certification course in the following formats:

    Live Virtual Classroom or Online Classroom: With online classroom training, you have the option to attend the course remotely from your desktop via video conferencing. This format reduces productivity challenges and decreases your time spent away from work or home.

    Online Self-Learning: In this mode, you’ll receive lecture videos that you can view at your own pace.

  • What if I miss a class?

    We record the class sessions and provide them to participants after the session is conducted. If you miss a class, you can view the recording before the next class session.

  • Can I cancel my enrollment? Will I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.

  • Who provides the certification?

    At the end of the training, subject to satisfactory evaluation of the project and passing the online exam (minimum 80%), you will receive a certificate from Simplilearn stating that you are a certified data scientist with R programming.

  • Are there any group discounts for classroom training programs?

    Yes, we offer group discounts for our online training programs. Get in touch with us over the Drop us a Query or Request a Callback or Live Chat channels to find out more about our group discount packages.

  • What payment options are available?

    Payments can be made using any of the following options. You will be emailed a receipt after the payment is made.
    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

  • I’d like to learn more about this training program. Whom should I contact?

    Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives can provide you with more details.

  • What is the Expert Assistant Support provided by Simplilearn?

    Expert Assistance includes:
    • Mentoring Sessions: Live Interaction with a subject matter expert to help participants with queries regarding project implementation and the course in general
    • Guidance on forum: Industry experts to respond to participant queries regarding technical concepts, projects and case studies.

    Teaching Assistance includes:
    • Project Assistance: Queries related to solving and completing projects and case studies, which are part of the Data Scientist with R programming course
    • Technical Assistance: Queries related to technical, installation and administration issues in Data Scientist with R programming training. In cases of critical issues, support will be rendered through a remote desktop.
    • R Programming: Queries related to R programming while solving and completing projects and case studies

  • How do I contact support?

    Submit a request to Simplilearn through any of following channels: Help & Support, Simplitalk, or Live Chat. A teaching assistant will get in touch with you within 48 hours.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

  • What is online classroom training?

    Online classroom training for Data Science Certification is conducted via online live streaming of each class. The classes are conducted by a Data Science certified trainer with more than 15 years of work and training experience.

  • Is this live training, or will I watch pre-recorded videos?

    If you enroll for self-paced e-learning, you will have access to pre-recorded videos. If you enroll for the online classroom Flexi Pass, you will have access to live training conducted online as well as the pre-recorded videos.

  • Are the training and course material effective in preparing me for the Data Science - R Programming certification exam?

    Yes, Simplilearn’s training and course materials guarantee success with the Data Science - R Programming certification exam.

  • What certification will I receive after completing the training?

    After successful completion of the Data Science - R Programming Certification training, you will be awarded the course completion certificate from Simplilearn.

    Our Delhi address

    Simplilearn Solutions Pvt Ltd, 2nd Floor, KLJ Tower North, B-5 District Centre, Netaji Subhash Place, Wazirpur, New Delhi – 110034, India, Call us at: 1800-102-9602

    • Disclaimer
    • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.