Data Science with R Course Overview

The Data Science with R Programming Course in Cochin covers data visualization & exploration and predictive & descriptive analytics using the R language. Data Science with R Programming training in Cochin covers all about R packages, data structures in R forecasting, data import and export in R, statistical concepts, and cluster analysis.

R Certification Training Key Features

100% Money Back Guarantee
No questions asked refund*

At Simplilearn, we value the trust of our patrons immensely. But, if you feel that this R Programming course does not meet your expectations, we offer a 7-day money-back guarantee. Just send us a refund request via email within 7 days of purchase and we will refund 100% of your payment, no questions asked!
  • 64 hours of Applied Learning
  • 10 real-life industry projects
  • Dedicated mentoring session from industry experts
  • Lifetime access to self-paced learning

Skills Covered

  • Business analytics
  • R programming and its packages
  • Data structures and data visualization
  • Apply functions and DPLYR function
  • Graphics in R for data visualization
  • Hypothesis testing
  • Apriori algorithm
  • kmeans and DBSCAN clustering

Benefits

The Data Science with R Programming Course in Cochin readies you for a career in Big Data Analytics, a market growing rapidly at 29.7% year-by-year to $40.6 billion by 2023, with analysts’ pay raises 50% higher than in IT functions. Data Science with R Programming training in Cochin can accelerate your career.

  • Designation
  • Annual Salary
  • Hiring Companies
  • Annual Salary
    ₹302KMin
    ₹516KAverage
    ₹1023KMax
    Source: Glassdoor
    Hiring Companies
    Amazon hiring for Data Analyst professionals in Cochin
    JPMorgan Chase hiring for Data Analyst professionals in Cochin
    Genpact hiring for Data Analyst professionals in Cochin
    VMware hiring for Data Analyst professionals in Cochin
    LarsenAndTurbo hiring for Data Analyst professionals in Cochin
    Citi hiring for Data Analyst professionals in Cochin
    Accenture hiring for Data Analyst professionals in Cochin
    Source: Indeed
  • Annual Salary
    ₹509KMin
    ₹1364KAverage
    ₹4200KMax
    Source: Glassdoor
    Hiring Companies
    Accenture hiring for Data Scientist professionals in Cochin
    Oracle hiring for Data Scientist professionals in Cochin
    Microsoft hiring for Data Scientist professionals in Cochin
    Walmart hiring for Data Scientist professionals in Cochin
    Amazon hiring for Data Scientist professionals in Cochin
    Source: Indeed

Training Options

Self-Paced Learning

₹ 19,999

  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 7 hands-on R projects to perfect the skills learned
  • Simulation test papers for self-assessment
  • Lab access to practice live during sessions
  • 24x7 learner assistance and support

online Bootcamp

₹ 21,999

  • Everything in Self-Paced Learning, plus
  • 90 days of flexible access to online classes
  • Live, online classroom training by top instructors and practitioners
  • Classes starting in Cochin from:-
1st Nov: Weekday Class
13th Nov: Weekend Class
Show all classes

Corporate Training

Customized to your team's needs

  • Blended learning delivery model (self-paced eLearning and/or instructor-led options)
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

R Certification Course Curriculum

Eligibility

Data Science with R Programming training in Cochin is great for aspiring data scientists who wish to build a career in the field of Data Science, including IT professionals or software developers who want to switch their career into Data Science with R Programming training in Cochin is also a perfect one for professionals working in data and business analysis and experienced professionals across sectors and industries, who are looking forward to make the most out of Data Science in their fields.
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Pre-requisites

There are no prerequisites for this Data Science with R Programming training in Cochin. If you are just a beginner in the Data Science field, the Data Science with R Programming course in Cochin is one of the best certification courses to begin your learning and working journey.
Read More

Course Content

  • Data Science with R Programming

    Preview
    • Lesson 00 - Course Introduction

      01:31Preview
      • Course Introduction
        01:31
    • Lesson 01 - Introduction to Business Analytics

      21:06Preview
      • 1.001 Overview
        00:44
      • 1.002 Business Decisions and Analytics
        04:33
      • 1.003 Types of Business Analytics
        03:53
      • 1.004 Applications of Business Analytics
        08:57
      • 1.005 Data Science Overview
        01:29
      • 1.006 Conclusion
        01:30
      • Knowledge Check
    • Lesson 02 - Introduction to R Programming

      26:35Preview
      • 2.001 Overview
        00:31
      • 2.002 Importance of R
        05:20
      • 2.003 Data Types and Variables in R
        02:14
      • 2.004 Operators in R
        04:39
      • 2.005 Conditional Statements in R
        02:45
      • 2.006 Loops in R
        05:07
      • 2.007 R script
        01:44
      • 2.008 Functions in R
        02:58
      • 2.009 Conclusion
        01:17
      • Knowledge Check
    • Lesson 03 - Data Structures

      50:57Preview
      • 3.001 Overview
        01:04
      • 3.002 Identifying Data Structures
        13:14
      • 3.003 Demo Identifying Data Structures
        14:05
      • 3.004 Assigning Values to Data Structures
        04:51
      • 3.005 Data Manipulation
        09:23
      • 3.006 Demo Assigning values and applying functions
        07:46
      • 3.007 Conclusion
        00:34
      • Knowledge Check
    • Lesson 04 - Data Visualization

      29:40Preview
      • 4.001 Overview
        00:29
      • 4.002 Introduction to Data Visualization
        03:03
      • 4.003 Data Visualization using Graphics in R
        18:50
      • 4.004 ggplot2
        05:14
      • 4.005 File Formats of Graphic Outputs
        01:08
      • 4.006 Conclusion
        00:56
      • Knowledge Check
    • Lesson 05 - Statistics for Data Science-I

      14:10Preview
      • 5.001 Overview
        00:21
      • 5.002 Introduction to Hypothesis
        02:06
      • 5.003 Types of Hypothesis
        03:13
      • 5.004 Data Sampling
        02:48
      • 5.005 Confidence and Significance Levels
        04:33
      • 5.006 Conclusion
        01:09
      • Knowledge Check
    • Lesson 06 - Statistics for Data Science-II

      29:55Preview
      • 6.001 Overview
        00:28
      • 6.002 Hypothesis Test
        00:47
      • 6.003 Parametric Test
        14:36
      • 6.004 Non-Parametric Test
        08:31
      • 6.005 Hypothesis Tests about Population Means
        02:09
      • 6.006 Hypothesis Tests about Population Variance
        00:45
      • 6.007 Hypothesis Tests about Population Proportions
        01:11
      • 6.008 Conclusion
        01:28
      • Knowledge Check
    • Lesson 07 - Regression Analysis

      45:04Preview
      • 7.001 Overview
        00:26
      • 7.002 Introduction to Regression Analysis
        01:11
      • 7.003 Types of Regression Analysis Models
        01:38
      • 7.004 Linear Regression
        08:59
      • 7.005 Demo Simple Linear Regression
        07:29
      • 7.006 Non-Linear Regression
        03:49
      • 7.007 Demo Regression Analysis with Multiple Variables
        13:29
      • 7.008 Cross Validation
        01:48
      • 7.009 Non-Linear to Linear Models
        02:06
      • 7.010 Principal Component Analysis
        02:45
      • 7.011 Factor Analysis
        00:26
      • 7.012 Conclusion
        00:58
      • Knowledge Check
    • Lesson 08 - Classification

      01:05:14Preview
      • 8.001 Overview
        00:31
      • 8.002 Classification and Its Types
        04:24
      • 8.003 Logistic Regression
        03:35
      • 8.004 Support Vector Machines
        04:26
      • 8.005 Demo Support Vector Machines
        11:13
      • 8.006 K-Nearest Neighbours
        02:34
      • 8.007 Naive Bayes Classifier
        02:53
      • 8.008 Demo Naive Bayes Classifier
        06:15
      • 8.009 Decision Tree Classification
        09:47
      • 8.010 Demo Decision Tree Classification
        06:25
      • 8.011 Random Forest Classification
        02:01
      • 8.012 Evaluating Classifier Models
        06:04
      • 8.013 Demo K-Fold Cross Validation
        04:09
      • 8.014 Conclusion
        00:57
      • Knowledge Check
    • Lesson 09 - Clustering

      28:10Preview
      • 9.001 Overview
        00:17
      • 9.002 Introduction to Clustering
        02:57
      • 9.003 Clustering Methods
        07:47
      • 9.004 Demo K-means Clustering
        11:15
      • 9.005 Demo Hierarchical Clustering
        05:02
      • 9.006 Conclusion
        00:52
      • Knowledge Check
    • Lesson 10 - Association

      23:13Preview
      • 10.001 Overview
        00:15
      • 10.002 Association Rule
        06:20
      • 10.003 Apriori Algorithm
        05:19
      • 10.004 Demo Apriori Algorithm
        10:37
      • 10.005 Conclusion
        00:42
      • Knowledge Check
  • Free Course
  • Math Refresher

    Preview
    • Math Refresher

      30:35Preview
      • Math Refresher
        30:35
  • Free Course
  • Statistics Essential for Data Science

    Preview
    • Lesson 01: Course Introduction

      07:05Preview
      • 1.01 Course Introduction
        05:19
      • 1.02 What Will You Learn
        01:46
    • Lesson 02: Introduction to Statistics

      18:41Preview
      • 2.01 Learning Objectives
        01:16
      • 2.02 What Is Statistics
        01:50
      • 2.03 Why Statistics
        02:06
      • 2.04 Difference between Population and Sample
        01:21
      • 2.05 Different Types of Statistics
        02:42
      • 2.06 Importance of Statistical Concepts in Data Science
        03:20
      • 2.07 Application of Statistical Concepts in Business
        02:11
      • 2.08 Case Studies of Statistics Usage in Business
        03:09
      • 2.09 Recap
        00:46
    • Lesson 03: Understanding the Data

      17:29Preview
      • 3.01 Learning Objectives
        01:12
      • 3.02 Types of Data in Business Contexts
        02:11
      • 3.03 Data Categorization and Types of Data
        03:13
      • 3.03 Types of Data Collection
        02:14
      • 3.04 Types of Data
        02:01
      • 3.05 Structured vs. Unstructured Data
        01:46
      • 3.06 Sources of Data
        02:17
      • 3.07 Data Quality Issues
        01:38
      • 3.08 Recap
        00:57
    • Lesson 04: Descriptive Statistics

      32:03Preview
      • 4.01 Learning Objectives
        01:26
      • 4.02 Mathematical and Positional Averages
        03:15
      • 4.03 Measures of Central Tendancy: Part A
        02:17
      • 4.04 Measures of Central Tendancy: Part B
        02:41
      • 4.05 Measures of Dispersion
        01:15
      • 4.06 Range Outliers Quartiles Deviation
        02:30
      • 4.07 Mean Absolute Deviation (MAD) Standard Deviation Variance
        02:52
      • 4.08 Z Score and Empirical Rule
        02:14
      • 4.09 Coefficient of Variation and Its Application
        02:06
      • 4.10 Measures of Shape
        02:39
      • 4.11 Summarizing Data
        02:03
      • 4.12 Recap
        00:54
      • 4.13 Case Study One: Descriptive Statistics
        05:51
    • Lesson 05: Data Visualization

      20:55Preview
      • 5.01 Learning Objectives
        00:57
      • 5.02 Data Visualization
        02:15
      • 5.03 Basic Charts
        01:52
      • 5.04 Advanced Charts
        02:19
      • 5.05 Interpretation of the Charts
        02:57
      • 5.06 Selecting the Appropriate Chart
        02:25
      • 5.07 Charts Do's and Dont's
        02:47
      • 5.08 Story Telling With Charts
        01:29
      • 5.09 Recap
        00:50
      • 5.10 Case Study Two: Data Visualization
        03:04
    • Lesson 06: Probability

      19:46Preview
      • 6.01 Learning Objectives
        00:55
      • 6.02 Introduction to Probability
        03:10
      • 6.03 Key Terms in Probability
        02:25
      • 6.04 Conditional Probability
        02:11
      • 6.05 Types of Events: Independent and Dependent
        02:56
      • 6.06 Addition Theorem of Probability
        01:58
      • 6.07 Multiplication Theorem of Probability
        02:08
      • 6.08 Bayes Theorem
        03:10
      • 6.09 Recap
        00:53
    • Lesson 07: Probability Distributions

      22:29Preview
      • 7.01 Learning Objectives
        00:52
      • 7.02 Random Variable
        02:21
      • 7.03 Probability Distributions Discrete vs.Continuous: Part A
        01:44
      • 7.04 Probability Distributions Discrete vs.Continuous: Part B
        01:45
      • 7.05 Commonly Used Discrete Probability Distributions: Part A
        03:18
      • 7.06 Discrete Probability Distributions: Poisson
        03:16
      • 7.07 Binomial by Poisson Theorem
        01:37
      • 7.08 Commonly Used Continuous Probability Distribution
        03:22
      • 7.09 Applicaton of Normal Distribution
        02:49
      • 7.10 Recap
        01:25
    • Lesson 08: Sampling and Sampling Techniques

      30:53Preview
      • 8.01 Learnning Objectives
        00:51
      • 8.02 Introduction to Sampling and Sampling Errors
        03:05
      • 8.03 Advantages and Disadvantages of Sampling
        01:31
      • 8.04 Probability Sampling Methods: Part A
        02:32
      • 8.05 Probability Sampling Methods: Part B
        02:27
      • 8.06 Non-Probability Sampling Methods: Part A
        01:42
      • 8.07 Non-Probability Sampling Methods: Part B
        01:25
      • 8.08 Uses of Probability Sampling and Non-Probability Sampling
        02:08
      • 8.09 Sampling
        01:08
      • 8.10 Probability Distribution
        02:53
      • 8.11 Theorem Five Point One
        00:52
      • 8.12 Center Limit Theorem
        02:14
      • 8.13 Recap
        01:07
      • 8.14 Case Study Three: Sample and Sampling Techniques
        05:16
      • 8.15 Spotlight
        01:42
    • Lesson 09: Inferential Statistics

      33:59Preview
      • 9.01 Learning Objectives
        01:04
      • 9.02 Hypothesis and Hypothesis Testing in Businesses
        03:24
      • 9.03 Null and Alternate Hypothesis
        01:44
      • 9.04 P Value
        03:22
      • 9.05 Levels of Significance
        01:16
      • 9.06 Type One and Two Errors
        01:37
      • 9.07 Z Test
        02:24
      • 9.08 Confidence Intervals and Percentage Significance Level: Part A
        02:52
      • 9.09 Confidence Intervals: Part B
        01:20
      • 9.10 One Tail and Two Tail Tests
        04:43
      • 9.11 Notes to Remember for Null Hypothesis
        01:02
      • 9.12 Alternate Hypothesis
        01:51
      • 9.13 Recap
        00:56
      • 9.14 Case Study Four: Inferential Statistics
        06:24
      • Hypothesis Testing
    • Lesson 10: Application of Inferential Statistics

      27:07Preview
      • 10.01 Learning Objectives
        00:50
      • 10.02 Bivariate Analysis
        02:01
      • 10.03 Selecting the Appropriate Test for EDA
        02:29
      • 10.04 Parametric vs. Non-Parametric Tests
        01:54
      • 10.05 Test of Significance
        01:38
      • 10.06 Z Test
        04:14
      • 10.07 T Test
        00:54
      • 10.08 Parametric Tests ANOVA
        03:26
      • 10.09 Chi-Square Test
        02:31
      • 10.10 Sign Test
        01:58
      • 10.11 Kruskal Wallis Test
        01:04
      • 10.12 Mann Whitney Wilcoxon Test
        01:18
      • 10.13 Run Test for Randomness
        01:53
      • 10.14 Recap
        00:57
    • Lesson 11: Relation between Variables

      18:08Preview
      • 11.01 Learning Objectives
        01:06
      • 11.02 Correlation
        01:54
      • 11.03 Karl Pearson's Coefficient of Correlation
        02:36
      • 11.04 Karl Pearsons: Use Cases
        01:30
      • 11.05 Spearmans Rank Correlation Coefficient
        02:14
      • 11.06 Causation
        01:47
      • 11.07 Example of Regression
        02:28
      • 11.08 Coefficient of Determination
        01:12
      • 11.09 Quantifying Quality
        02:29
      • 11.10 Recap
        00:52
    • Lesson 12: Application of Statistics in Business

      17:25Preview
      • 12.01 Learning Objectives
        00:53
      • 12.02 How to Use Statistics In Day to Day Business
        03:29
      • 12.03 Example: How to Not Lie With Statistics
        02:34
      • 12.04 How to Not Lie With Statistics
        01:49
      • 12.05 Lying Through Visualizations
        02:15
      • 12.06 Lying About Relationships
        03:31
      • 12.07 Recap
        01:06
      • 12.08 Spotlight
        01:48
    • Lesson 13: Assisted Practice

      11:47
      • Assisted Practice: Problem Statement
        02:10
      • Assisted Practice: Solution
        09:37

Industry Project

  • Project 1

    Products rating prediction for Amazon

    Help Amazon, a US-based e-commerce company, improve its recommendation engine by predicting ratings for the non-rated products and adding them to recommendations accordingly.

    Products rating prediction for Amazon
  • Project 2

    Demand Forecasting for Walmart

    Predict accurate sales for 45 Walmart stores, considering the impact of promotional markdown events. Check if macroeconomic factors have an impact on sales.

    Demand Forecasting for Walmart
  • Project 3

    Improving customer experience for Comcast

    Provide Comcast, a US-based global telecom company, key recommendations to improve customer experience by identifying and improving problem areas that lower customer satisfaction.

    Improving customer experience for Comcast
  • Project 4

    Attrition Analysis for IBM

    IBM, a leading US-based IT company, wants to identify the factors that influence employee attrition by building a logistics regression model that can help predict employee churn.

    Attrition Analysis for IBM
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Data Science with R Course Advisor

  • Ronald van Loon

    Ronald van Loon

    Top 10 Big Data and Data Science Influencer, Director - Adversitement

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of 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.

prevNext

Data Science with R Exam & Certification

Data Science with R Programming Training in Kochi, Kerala in Cochin
  • Who provides the certification?

    After you complete the Data Science with R Programming course in Cochin, you'll be handed over a course completion certificate from Simplilearn.

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

    Online Classroom:
    • You must attend one complete batch of Data Science with R Programming training in Cochin.
    • You must complete one project
    Online Self-Learning:
    • You must complete 85% of the Data Science with R Programming training in Cochin.
    • You must finish one project

  • How long does it take to complete the Data Science with R Programming training in Cochin?

    It takes approximately 40 hours to successfully complete the Data Science with R Programming training in Cochin.

  • How long is the Data Science with R certificate from Simplilearn valid for?

    The validity of the Data Science with R Programming training in Cochin certificate from Simplilearn never expires.

  • How many attempts do I have to pass the Data Science with R certification exam?

    You have a total maximum of three attempts to pass the Data Science with R certification exam. However, through the Data Science with R Programming course in Cochin, Simplilearn provides you with guidance and support to help you crack the exam in one go!

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

    Once you successfully go through the Data Science with R Programming training in Cochin and crack the exam, you will be given the certificate via our Learning Management System. You can download the certificate or share it through email or Linkedin.

  • If I fail the Data Science with R certification exam how soon can I retake it?

    You can retry it immediately.

  • Do you provide any practice tests as part of Data Science with R Programming training in Cochin?

    Yes, we do! We also provide a practice test as part of Data Science with R Programming training in Cochin to help you all get decked up for the actual certification exam. Try these free R Programming practice questions to help you better understand the kind of tests that are part of the curriculum.

R Certification Course Reviews

  • Anubhav Ingole

    Anubhav Ingole

    Project Management Officer (PMO)/Business Analyst, Nagpur

    My instructor, Rajneesh, made the class very interactive. He explained each topic with real-life examples and analogies. I sincerely thank him for the effort he is putting into making a difference.

  • Sheetal Nagpal

    Sheetal Nagpal

    Delhi

    My trainer was very engaging and knowledgeable. I liked her way of teaching - sharing notes and providing hands-on practical's within the training sessions. She also shared real-life examples, and a SWOT analysis during the stat test, which I thought was a fantastic idea. Project mentoring cleared all our doubts related to the project.

  • Amol B

    Amol B

    Bangalore

    Simplilearn has designed the course in a systematic manner. It has its own UI to code the programs. In fact, the algorithm and its applications have been done in the most logical way. Thanks, Simplilearn

  • Rohit Kumar

    Rohit Kumar

    Consultant, Delhi

    I really loved the way Shubham elaborates the R programming concepts, how he starts from the basics and then gradually picks up the pace.

  • Lavanya Krishnan

    Lavanya Krishnan

    RePM consultant, Bangalore

    My instructor Shilesh gave me a lot of hands-on training and made us use the R-platform in ways that were practical and useful. It was indeed a good course.

  • Puneeta C.

    Puneeta C.

    Student at Rajasthan Technical University, Bangalore

    Simplilearn is the best platform to provide Data Science with R programming. Its projects and assignments are amazing. Keep Learning. Thank You

  • 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 with 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

  • Ashish Ranjan

    Ashish Ranjan

    Data Scientist at Accenture, Pune

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

  • 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 a 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. It's a good course even for beginners. Overall, training is very good. Thank you Simplilearn.

  • 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!

  • Nisar Pasha

    Nisar Pasha

    Student at Miracle educational society, Visakhapatnam

    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.

  • Sachin Shelar

    Sachin Shelar

    Project Lead at Capgemini, Mumbai

    I took Data Science with R programming from Simplilearn, and it's amazing. It certainly added value to my career. The trainer conducted the sessions very nicely and made the learning easy and interesting. Great job Simplilearn!

  • Ruchi Gupta

    Ruchi Gupta

    ILP Institute, Bangalore

    I loved the training material and the simulations tests provided by simplilearn. I loved the Flexipass, where you have the opportunity to attend same topic in multiple batches for better understanding."

  • Samir Swarup

    Samir Swarup

    Associate Software Architect at UST Global, Bangalore

    I have enrolled in Data Science with R Programming 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.

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Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

R Certification Training FAQs

  • What is R programming?

    R is a programming language and free software developed in 1993, made up of a collection of libraries architectured especially for data science. As a tool, R is considered to be clear and accessible.

  • Why should I learn R programming?

    Data Science is one of the popular career domains among professionals that offers high earning potential. It mostly comprises statistics and R is the bridging language of this domain and is widely used for data analysis. By learning R programming, you can enter the world of business analytics and data visualization. It is a must-have skill for all those aspiring to become a Data Scientist.

  • How do beginners learn R online?

    Anyone who is looking to get started in IT or willing to further their IT career should consider learning R. We at Simplilearn have compiled an extensive content for Data Science beginners, along with supporting blogs and YouTube videos to help you understand the Data Science basics and importance of R in the dynamic field of data science.

  • Should I learn R or Python programming for a Data Science career?

    R and Python are the top languages that professionals learn to start a career in Data Science. Both languages are powerful and have their own pros and cons. So, depending on which language is used for data science projects in your organization and what can help you in the long run, you can make a choice.

    Simplilearn also provides Data Science with Python course which builds a strong foundation in data science and imparts all the valuable skills that employers look for in a data scientist.

  • What is the market trend for Data Science in Kerala?

    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, Kochi holds the title of having the highest number of analytics jobs in Kerala. In 2017, over 25% of all analytics jobs originated in Kochi. 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 R certified Data Scientist jobs in Kochi?

    Several companies in Kochi are on the lookout for R Certified Data Scientists. According to Naukri, some of the top companies looking out for Data Science professionals in Kochi are HP, IBM, Cognizant, Capgemini, Infosys, 24X7, Wipro, EY and many more.
     

  • What is the average salary for R certified Data Scientist in Kochi?

    According to Payscale, Data Science professionals in Kochi can earn an average of 3 lakhs per year. However, a certified data science professional with experience can earn up 15 lakhs per annum.

  • What is the salary of a data scientist with R programming skills in Kochi?

    Data scientists with R programming skills in India will get a total annual package of ?823,841. Depending on the various parameters such as education, work performance, and experience, the salary varies and falls in the range between ?355k - $2m, inclusive of bonuses, profit sharing, and incentives. This Data Science with R programming training in Kochi is of more potential, and this will provide an opportunity to get a higher salary.

  • What are the major companies hiring a data scientist with R programming skills in Kochi?

    IBM, Rubero international, Ruby seven studios, 18 steps Consultants, EY, Mindcurv, Baker Hughes, UST, and Avodha, are a few companies that hire data scientists with R programming in Kochi. An individual who undergoes data science with R programming training in Kochi will benefit from any of the companies mentioned.

  • What are the major industries in Kochi?

    Kochi acts as a home to the International Pepper Exchange, where black pepper is globally traded. The Spices Board of India is headquartered in Kochi. Information technology, electronics, textiles, retail business, seafood, transportation, health service, manufacturing, real estate, tourism are some of the significant industries in Kochi. Kochi acts as the Air India Express service headquarters and stands as the fourth busiest airport in India. Thus, completion of data science with R programming training in Kochi will bring forth good opportunities to get employed in any of these industries.

  • How to become a data scientist with R programming skills in Kochi?

    Skills like analysis of data and programming are valued by the leading companies hiring data scientists in Kochi. However, you will also need some more skills to become an expert in data science. Taking up courses related to data science with R programming training in Kochi will aid you in learning the intricacies involved in the field.

    Here is how you can become a data scientist with R programming skills in Kochi.

    • Complete certification courses in data science or get a degree in a related field.
    • Learn more about the R programming language.
    • Enhance your soft skills like communication, presentation, and decision-making.
    • Do some internships and gain practical exposure.

  • How to find data science with R programming training courses in Kochi?

    Finding the right course in data science with R programming training in Kochi is very important to improve yourself. It helps in mastering the field techniques. So, find the right course to help you in learning more.

    Some suggestions to pick the right course in data science with R programming training in Kochi include:

    • Explore the course and institution options on the web.
    • Check the syllabus, fee structure, and course duration to choose the course of your choice.
    • Enquire about the advanced courses available.
    • There is a need to review the course. You can either check on review pages on the internet or connect with the institution's alumni through platforms like LinkedIn.
    • Choose the right course based on your requirements and reviews.

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

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

  • What is online classroom training?

    Online classroom training for R certification course 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.

  • 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 R course curriculum.

  • Who are our instructors and how are they selected?

    All of our highly qualified R course trainers are industry Data Science 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.

  • What training formats are used for this R course?

    We offer this Data Science with R training in the following formats:

    Live Virtual Classroom or Online Classroom: With online classroom training, you have the option to attend the R 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 R training 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.

  • How do I enroll for this Data Science with R certification training?

    You can enroll in this Data Science with R certification training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • I’d like to learn more about this Data Science with R course. 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 Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in R programming 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 R training with us.

  • *Disclaimer

    *The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

  • How do I become an R Programmer?

    To become an R programmer, you need a degree in IT, Computer Science, or any allied field. After this, you can go for an R certification for more comprehensive knowledge.

  • Is the R course difficult to learn?

    This Data Science with R course is easy to learn. Anyone can pursue it, whether a fresh IT graduate or professionals like IT professionals, analytics professionals, and software developers.

  • Is R certification worth it?

    Seeking this R training is worth it as it will help you:

    • Gain a basic understanding of business analytics
    • Install R, RStudio, workspace setup, and seek knowledge on the different R packages
    • Master R programming and understand how different statements are executed in R
    • Gain a deeper understanding of data structure used in R and learn how to import/export data in R
    • Define, comprehend and use the various apply functions and DPLYR functions
    • Understand and use the different graphics in R for data visualization
    • Gain a basic understanding of different statistical concepts
    • Gain understanding and know the use of the hypothesis testing method to drive business decisions
    • Understand and utilize linear and non-linear regression models, and classification techniques for data analysis
    • Learn and use the various association rules with the Apriori algorithm
    • Learn and use clustering methods including k-means, DBSCAN, and hierarchical clustering

  • What are the job roles available after getting an R certification?

    After obtaining an R certification, you can seek job roles in the form of:

    • R programmer
    • Data Scientist
    • Data Analyst
    • Data Architect
    • Data Visualization Analyst
    • Geo Statistician
    • Database Administrator
    • Quantitative Analyst

  • What does an R Programmer do?

    The primary responsibility of an R programmer is to use the R programming language for developing scripts that can be used for data manipulation, modeling, prediction, visualization, and reporting. By attaining an R certification, you will better understand the roles and responsibilities of R programmers.

  • What skills should an R Programmer know?

    An R programmer should be skilled at:

    • Statistics
    • Machine learning
    • Programming languages in addition to R
    • Visualization
    • Communication

    With this Data Science with R certification, you will be able to acquire these skills and learn much more about R programming and have a flourishing career ahead of you.

  • Which companies hire R Programmers?

    Some of the top companies hiring professionals with R certification are Facebook, Google, American Express, HP, Infosys, IBM, Deloitte, Capgemini, Oracle, Twitter, and Uber.

Data Science with R Programming Training in Kochi, Kerala

In 2011, a study done by the McKinsey Global Institute stated that Kochi was one of the 28 Indian cities from the emerging 440 global cities that will contribute 50% of the world GDP by the year 2025. It has got the highest GDP and highest GDP per capita in the state. The population of Kochi was 889,893 for the corresponding period of 2020. The city acts as the home to the Southern Naval Command of the Indian Navy and is found to be the state headquarters of the Indian Coast Guard.

The approximate GSP of Kerala is US$138.88 billion for the corresponding year 2020–2021, and the calculated Per-capita GSP of Kerala is US$2,917.97. Under the Köppen climate classification, Kochi features a tropical monsoon climate. The average annual rainfall is 3,014.8 mm, with an annual average of 124 rainy days.

Kochi offers the best traditional seafood cuisine. It is also one of the best places to watch the traditional art form and explore culture-rich sites of the state. Touring Kochi will leave you amazed.

Here are a few places to visit in and around Kochi.

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