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Live Online Training

  • 56 Hours of Instructor-led Live Training
  • Hand-on Practice on 10 Real-Life Case Studies
  • Access to LEAP - Our Analytics Learning Platform
  • Highly Experienced and Certified Mentors
  • Practice Exercises and Assignments
  • Internship Opportunity to work on Dash-Boarding & Insight Generation Projects
  • Course Completion Certificate from ScholarsPro
$599.00 USD

Self Paced Course

  • 24x7 Access to High Quality eLearning Content
  • Practice Exercises and Assignments
  • Designed by the faculties from IIT/IIMs with rich industry experience
  • Placement Assistance
  • Course Completion Certificate from ScholarsPro
$299.00 USD

Classroom Course

  • Weekend Sessions
  • 180 days of access to high-quality Self-paced learning content
  • Mentorship from Industry Experts
  • Course Completion Certificate from ScholarsPro
 

Course Advisor

Jaydeep Chakraborty
Jaydeep Chakraborty
(Certifications: R, SAS, Python & Excel)

 

Jaydeep has 11+ years of experience in building analytical solutions & digital strategy for large organization. He has helped over 30 global organizations transform their business using analytics across retail, banks, NGOs, DTH, Telecom & CPG. He has rich experience of conducting analytics training for over 4000 hours in the last 5 years. He has conducted classroom training and online training in India & abroad, where he has consistently recorded very high training feedback ratings. He is the winner of Dunnhumby India Hackathon & several other international data science competition.

Course Benefits

  • R is considered to be the king among the statistical computing languages, and is widely used for visualizing and analyzing big data. As such, attaining professional level training and certification in R can add immense value and strength to your portfolio.
  • A certification in R would serve to validate your strong knowledge and skills for optimally using R for Data Science purposes
  • R programmers are among the best paid professionals in the country today.
  • The training and certification will help open many new and better job opportunities for you.
  • You’ll be in a good position to stand as a strong competitor in the job market.
  • A Certification in Data Science with R will enable you to demonstrate your expertise in the domain and establish yourself as a reliable and skilled professional in the domain.
 

Why Data Science with R?

 
R is indeed a highly popular language, and the popularity is so much that it has been reported to be the preferred language of over 70% data miners from all over the world, where more than 24% have accepted the language as their primary tool for statistical programming. R skills are, in fact, considered to be mandatory for a lot of job positions in the domain of Big Data. Owing to the value and demand of R skilled professionals in the market, the average salary levels for R professionals are quite high and may vary anywhere between $73K for a Programmer Analyst to $145K for a Data Scientist.
The data science with R certification training program offered by ScholarsPro is a top-notch notion for the candidates aspiring to flourish their career in the relevant field. The training facilitates an in-depth understanding of R all from the scratch to the advanced level. The training modules include all the important aspects that will help you in mastering the facts of R language as well as the concepts of the advanced analytics.
 
Being backed with the hands-on lab sessions, the candidates would be able to build a strong conceptual understanding of R language, R Packages, function, forecasting, modeling, and a lot more, which will make you emerge as a highly skilled and knowledgeable R professional. Besides the high quality, results-driven sessions, the course also comprises of several practical exercises, case studies, and assignments that will serve to further hone your skills and prepare you to successfully take on the real-world industry projects.

Who should join
Data Science with R Certification Training Course?

  • Freshers who wish to make a career in the domain of Data Science
  • Professionals looking for a career switch to Data Science and Analytics
  • Data Analytics/Data Science professionals willing to learn advanced modeling techniques
  • Anyone having keen interest in data science and willing to expand his/her skill set

Pre-requisites/Eligibility Criteria

There are no mandatory pre-requisites for taking up this course. All you need to start off with the training is an internet connection and some basic computer knowledge.

Course Contents

MODULE 1: DATA EXPLORATION
- Data Variables
- Techniques for Data Summarization
- How to Build a Data Dictionary
- An Insight into Univariate Analysis
- Bivariate Analysis
- Understanding the Outlier Treatment and Missing Value Treatment
- Case Study
- Assignment
MODULE 2: DESCRIPTIVE STATISTICS
- Understanding the measures of central tendency
- Measures of dispersion
- Learning about Range and Skewness
- Interpretation of Histograms
- Various Research Methodologies 
- Assignment
MODULE 3: INFERENTIAL STATISTICS
- Understanding the Probability Theory
- An Insight into the Bayes Theorem
- Probability Distribution Functions
- Hypothesis Testing
- Case Study
- Assignment
MODULE 4: R FUNDAMENTALS
- An Overview of R
- Installation Packages
- Various Data Structures in R
- Learning about Vector Calculation
- Understanding the Arithmetic &Logical Operators
- Case Study
- Assignment
MODULE 5: CONTROL FLOW BASICS
- Function of Loops in R
- Drawbacks associated with using Loops
- Alternatives to using Loops
- Case Study
- Assignment
 
MODULE 6: FUNCTIONS
- Structure of Functions in R
- How to Build a Function of Your Own
- How to Employ Parameters and Default Values
- How to Use Return
- Case Study
- Assignment
 
MODULE 7: PACKAGES
- Searching and Selecting a New Package
- How to Install and Update a Package
- How to Access Package Functions
- Hacking a Function
- How to Develop a Package on Your Own
- Case Study
- Assignment
 
MODULE 8: ENVIRONMENT OBJECTS
- Saving and Loading Objects
- Deleting Objects
- Case Study
- Assignment
 
MODULE 9: DATA IMPORT AND EXPORT
- How to Import and Export from Excel
- How to Import and Export from MySQL
- How to Import and Export from a Text File
- How to Export to Image and PDF
- Presenting the Output in HTML Webpage
- Case Study
- Assignment
 
MODULE 10: DATA MANIPULATION BASICS
- Sorting and Ranking
- Understanding Data Aggregation
- How to carry out Merging
- Case Study
- Assignment
 
MODULE 11: DATA MANIPULATION ADVANCED
- Apply, Lapply, Tapply
- Replicate functions
- Dplyr, Tidy
- Case Study
- Assignment
 
MODULE 12: DATA VISUALIZATION FUNDAMENTALS
- How to plot function
- How to change the parameters
- How to draw basic charts
- How to add chart elements
- Case Study
- Assignment
 
MODULE 13: DATA VISUALIZATION ADVANCED
- Learning about Qplot, Ggplot, and Maps
- Case Study
- Assignment
 
MODULE 14: LINEAR REGRESSION
- An Overview of the Linear Regression technique
- Uses of Linear Regression
- Ordinary Least Squares Estimation Technique
- Variable handling
- Model Statistics Interpretation
- Validation of Linear Regression Assumptions
- MeasuringModel Performance
- Case Study
- Assignment
 
MODULE 15: LOGISTIC REGRESSION
- An Overview of Logistic Regression Technique
- Uses of Logistic Regression
- Maximum Likelihood Estimation Technique
- DependentVariable
- Variable Handling
- Weight of Evidence
- Information Value
- Model Statistics Interpretation
- MeasuringModel Performance
- Case Study
- Assignment
 
MODULE 16: TIME SERIES FORECASTING
- Basics of Time Series Modeling
- Forecasting Techniques
- Smoothing Techniques
- Decomposition
- Understanding ARIMA and ARIMAX
- Model Estimation & Interpretation
- Forecasting with Regression and Time Series Data
- Case Study
- Assignment
 
MODULE 17: CLUSTERING
- What is Clustering?
- Types and Uses of Clustering
- K-Means Clustering
- Hierarchical Clustering
 

FAQs

WHOM DO I CONTACTIN CASE I WISH TO KNOW MORE ABOUT THE PROGRAM?

You can write to us at info@scholarspro.com or give us a call at the contact number provided below (relevant for your country).

WILL I BE PROVIDED WITH ANY CERTIFICATE UPON COMPLETION OF THE COURSE?
Yes! You will be provided with a Pro 'Data Science with R' Certificate from ScholarsPro upon fulfillment of the following terms:
- Completion and submission of at least 5 projects/case studies
- Attend at least 85% of the sessions
- Clear the final online test by minimum 60%
 
WHAT IF I STILL HAVE DOUBTS AFTER ATTENDING A LIVE SESSION?
You can retake a class as many times as you wish across multiple batches. Also, we conduct separate doubt clearing sessions to help our students. We make sure that you understand all the concepts and are able to build solutions.
WHAT WILL HAPPEN IN CASE I MISS A CLASS?

You will be able to attend the missed class in any other live learning batch. Besides, you can also utilize the video recording of the session that you missed.

DO I NECESSARILY NEED A BACKGROUND IN COMPUTER PROGRAMMING TO TAKE UP THE COURSE?

No! You do not necessarily need a programming background to take up this course. The program has been given a very simple, easy-to-understand structure where you start right from the basics and go on to learn a step higher.

ARE THEIR ANY PRE-REQUISITES OR ELIGIBLITY CRITERIA FOR TAKING UP THIS COURSE?

There are no mandatory pre-requisites for taking up this course, however basic knowledge of statistics and some experience in programming in at least any one high-level programming language such as BASIC, C, Java, Python, or Ruby, is generally recommended for ease of understanding.

WHAT IS THE DIFFERENCE BETWEEN R PACKAGES AND R PROGRAMMING LANGUAGE?

R packages are basically the pre-built packages in R programming language and are developed by programmers who are a part of the open source community of R language. These packages can be reusedfor solving statistical problems on your data.

WHAT ALL WILL I LEARN IN THIS TRAINING PROGRAM?

You will learn to comprehend Big Data concepts, Industry use cases, significance of using R in Big Data Analysis, Linear Regression and Logistic Regression,Times Series Forecasting, Data Mining and Data Visualization, Clustering, and a lot more.

WHO All WILL IDEALLY BENEFIT FROM THE COURSE?

The course is ideally intended for engineers, scientists, researchers, and business analysts who want to grow in the domain ofBig Data Analytics.

WHAT CAREER OPTIONS WILL I BE ABLE TO PURSUE UPON ATTAINING PROFESSIONAL TRAINING AND CERTIFICATION IN R?

Big Data Analytics is one of the most blooming fields in the current times, whereif you hold deep practical understanding of R programming, itcan add up immense value to your profile. You can start off on the profile of a Programmer and can move on to the roles of a Business Analyst, Data Scientist, Data Administrator, etc.

HOW WILL I BENEFIT FROM BECOMING ANR PROGRAMMING PROFESSIONAL?

R programming has been adopted as one of the most preferred programming languages by professionals from all across the world.There are a lot of job opportunities in the big data domain that also require knowledge of R as a necessary skill set. As such, if you have keen understanding of R and can efficiently use it with data analytics and data science techniques, it can significantly help brighten your career prospects and growth.


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