Course description

  • Why Data Science Course?

    • This data science course forms an ideal package for data analysts in Chennai 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.
    • 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.

  • What you will learn in this data science course?

    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 DPYR 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 course from Simplilearn in Chennai?

    There is an increasing demand for skilled data scientists across all industries in Chennai, 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 data science projects you will work on during this course?

    The data science certification course includes ten real-life, industry-based projects. Successful evaluation of one of the following six projects is a part of the certification eligibility criteria.

    Project 1:
    Healthcare: A nationwide survey of hospital costs conducted by the US Agency for Healthcare consists of hospital records of inpatient samples. The given data is restricted to the city of Wisconsin and relates to patients in the age group 0-17 years. The agency wants to analyze the data to research on the health care costs and their utilization.

    Project 2:
    Insurance: The data gives the details of third party motor insurance claims in Sweden for the year 1977. In Sweden, all motor insurance companies apply identical risk arguments to classify customers, and thus their portfolios and their claims statistics can be combined. The data were compiled by a Swedish Committee on the Analysis of Risk Premium in Motor Insurance. The Committee was asked to look into the problem of analyzing the real influence on the claims of the risk arguments and to compare this structure with the actual tariff.

    Project 3:
    Retail: A high-end fashion retail store is looking to expand its products. It wants to understand the market and find the current trends in the industry. It has a database of all products with attributes, such as style, material, season, and the sales of the products over a period of two months. 

    Project 4:
    Internet: The web analytics team of is interested to understand the web activities of the site, which are the sources used to access the website. They have a database that states the keywords of time in the page, source group, bounces, exits, unique page views, and visits.

    Project 5: 

    Education: An education department in the US needs to analyze the factors that influence the admission of a student into a college. Analyze the historical data and determine the key drivers. 

    Project 6:

    E-commerce: A UK-based online retail store has captured the sales data for different products for the period of one year (Nov 2016 to Dec 2017). The organization sells gifts primarily on the online platform. The customers who make a purchase consume directly for themselves. There are small businesses that buy in bulk and sell to other customers through the retail outlet channel. Find significant customers for the business who make high purchases of their favourite products.


    The course also includes 4 more projects for you to practice.

    Project 7:
    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 8:
    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 9:
    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 10:
    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 dataset 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
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Exam & certification FREE PRACTICE TEST

  • How do an Data Science Professional can get R-Programming Certificate, getting training in Chennai 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 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.
    • 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 a certified data scientist.

  • What are the Benefits of Taking R-Certification Course as data science professional in Chennai?

    Businesses and recruiters prefer marketing professionals with genuine knowledge, skills, and experience verified by a certification that is accepted across industries in Chennai & other cities of Tamil Nadu. 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 with r-programming certification training 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 Simplilearn's Data Scientist Certification Training Course in Chennai?

    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 Classroom Flexi-Pass that has a validity of 180 days (6 months) of high-quality e-learning videos plus 90 days of access to 4+ instructor-led online training classes.

  • How Much does this Data Science Course Cost's in Chennai?

    Simplilearn’s Data Science Training 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.

    Course advisor

    Ronald van Loon
    Ronald van Loon Top 10 Big Data & Data Science Influencer, Director - Adversitement

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

    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.


    Shankar Thiagarajan
    Shankar Thiagarajan Vice President at Oil & Gas Division, Videocon Industries Ltd, Chennai, Chennai

    Convenient platform with sufficient opportunities to learn the contents of the course at leisure.

    Puneeta C.
    Puneeta C. Student at Rajasthan Technical University, Bangalore

    Simplilearn is the best platform to provide Certification Courses on Data Scientist, and it's Projects and Assignments. They are amazing. Keep Learning. Thank You

    Read more Read less
    Sabyasachi Guharoy
    Sabyasachi Guharoy Solution Architect - Testing at Capgemini Technology Services India Pvt., Bangalore

    I enrolled in Simplilearn for an Online Self Learning course on Data Science Certification Training - R Programming. The LMS interface is very user-friendly and the course material is lucid and easy to understand. I have enjoyed my learning experience with Simplilearn

    Read more Read less
    Amol B
    Amol B Associate Manager at Firepro Systems, Bangalore

    Simplilearn is the awesome learning platform. The courses are very well designed and the live classes have personal attention in terms resolving the doubts. Thanks Simplilearn.

    Read more Read less
    Shreya Sinha
    Shreya Sinha Business Development Associate at BYJU'S, Delhi

    Simplilearn has been fantastic when it comes to giving professional training. Everybody suggested me not to go for R programming online as it becomes difficult to learn such a tough course online. But to my surprise, the content and the trainers at Simplilearn made my learning experience so smooth and efficient that I was bound to recommend it to others. Go ahead without any hesitation. It will pay off.

    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
    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.

    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
    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!

    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.


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

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

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

    • What is the market trend for R-Certified Data Science Professional in the Chennai City?

      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, Chennai, 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 Chennai?

      Several companies in Chennai are on the lookout for R Certified Data Scientists. According to Naukri, some of the top companies looking out for Data Science professionals in Tamil Nadu are Cognizant, TCS, Amazon, Accenture, SAP Labs, and Deloitte.

    • What is the Average Salary for Certified Data Scientist in Chennai?

      According to Payscale, big data professionals in Chennai can earn an average of 5 lakhs per year. However, a big data professional with experience can earn up 20 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 Chennai Correspondence / Mailing address

    Simplilearn Solutions Pvt Ltd, RMZ Milenia Business Park, Phase 2, Campus 4B, 6th Floor, Unit 602A, No 143, Dr. M.G.R Road, Kadanchavadi, Perungudi, Chennai - 600 096, Tamil Nadu, 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.