Introduction to R Programming

Take Your Next Step Towards Becoming an MDAE Certified Data Scientist

30 Hours | Live Interactive | Starts 13th Feb 2021 | 

Weekend(Sat-Sun) | Time 2:00 PM to 6:00 PM

Avail Early Bird Offer | 15% off till 22nd of January | 

7 Day Money Back Guarantee

Course Overview:

This course will introduce beginners in programming to the best practices of coding and the basics of statistical analysis and data handling in R. By the end of this course, participants would have taken their first step towards a career in data science or data analysis.

This course is an essential primer for anyone who wishes to pursue the R track.

  • Different types of objects in R and their operations
  • Writing functions, conditional statements and loops to replicate a program
  •  Importing data from a spreadsheet into R and exporting from R to another spreadsheet
  • Performing statistical and mathematical operations such as counting, probability and regression analysis
  • Elementary visualization tools  

  • Anyone interested in coding and learning to program in R 
  • A data science aspirant, with little or no formal training in the subject  
  • A professional using tools like SPSS, STATA, EViews, and wants to switch to an open source language like R  

  • Basic understanding of mathematical and satistical concepts
  • Curosity to learn a new programming language and apply that to quantitaive analysis
  • A logical bent of mind

                                      Key Features

Live Coaching

30 hours instructor-led, live interactive training.

Continuous Assessment

5 assignments, 1 final project, pre & post-course self-assessment.

Case Studies

 5+ live, real-world examples.

Constant Learner Support

Digital office hours + teaching assistant + lifetime recording access on LMS.

Alumni Status

Industry event invitations + student network access

Career Enhancement

Support for resume building & interview skills.

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 100 + Leading Companies

Meet Your Course Faculty

Dr. Sandhya Krishnan  

Assistant Professor, MDAE

Dr. Sandhya Krishnan has taught data analytics and R programming at various places across India, and to a wide range of audiences including undergraduate and graduate students, faculty and other professionals. She believes that interesting stories are hidden behind numbers and anyone with a flair for numbers and the right training in data analytics can unravel these stories and present them to the world.  She holds a Ph.D. from the University of Amsterdam and an MA in Economics from the University of Mumbai.

Dr. Ishita Ghoshal  

Assistant Professor, Fergusson College

Dr. Ishita Ghoshal teaches Macroeconomics, Econometrics and Mathematical Economics and conducts workshops on research methods, computer applications for Economics, applied Econometrics with various software like R, EViews, STATA, etc.  Her areas of interest are Macroeconomics, Applied Econometrics and International trade.  She holds a Ph.D. in Economics from the Gokhale Institute of Politics and Economics.

 Mr. Ayush Patel 

Associate, IDFC Institute

Mr. Ayush Patel is an RStudio certified tidyverse instructor. He enjoys teaching data analysis skills using R. Ayush has worked in the public policy sector with elected officials, state governments and think tanks. His work is focused on the intersection of development, law and economics. He has received training in engineering and economics.

Hear From Your Course Faculty

Session-Wise Course Curriculum 

Introduction to R console and editor, idea of packages in R

Types of data- integers, characters, numeric, logical, factor, dates, etc.

Types of objects: lists, vectors, matrices, data-frames, etc.

Creating and working with simple vectors

Merging vectors into a single data set

Importing data from an excel sheet into R and exporting data from R to excel

Assigning column names, extracting individual rows and columns

Basic mathematical and statistical operations- adding and subtracting across row and columns, calculating measures of central tendency and dispersion

Introduction to datasets in R packages

Dealing with missing data

Summarizing data

Writing functions and if-else statements

Creating loops

Strings and operations on strings

Introducing the basic plot function- scatter plots, lines, steps, box plots

Adding parameters to the basic plot function- creating legends, adding background colors, grid lines, viewing multiple graphs in a single pane, etc

Bar plots, histograms, pie charts

Quintiles, Percentiles, Q-Q plots

Probability- counting, generating random variables, discrete and continuous probability functions

ANOVA, linear regression and its diagnostic checks and plots

Select Projects / Case Studies

Risk taker or Risk Averse?

                                                                    Based on the stock portfolio held by a set of investors, how would differentiate between the risk takers and risk averse investors?  How would you write a program in R to establish this?

Effect of Covid 19 on Students' Grades

It is required to understand whether the current pandemic and the shift in mode of learning has affected the grades of the students. How would you comment on the issue (with confidence and conviction) based on your data?

Distances of Indian Villages From its Closest Town 

The Census of India publishes data on the distance of each village to the closest town. How would you identify and count the number of missing values in this data and then summarize it at the district level to obtain mean, median and standard deviation of the distance to closest town?

MDAE Alumi            Track Record!

MDAE alumni working in diverse roles across leading companies.

Arushi Mishra 

Data Consultant

Vallari Naik

 Trainee Decision Scientist

Pooja Joshi

  Senior Research Analyst

Nishitha Mehta

Risk Analyst

Swati Shrimali

 Business Analyst

Ujas Shah

  Research Analyst

What Our Students Say About Our Faculty  

"It has been an honour to get to learn so many things from  Dr. Sandhya Krishnan. Thanks for inspiring us! We need more instructors like her in our schools and universities where we learn subjects in an intuitive and practical way. I feel really lucky to have a mentor and a teacher like her. Thanks for making me fall in love with Econometrics, Data analysis and R, and now I cannot get enough of them! I owe all of it to her."

Aarushi Lunia– Batch 2019-20

"Aayush sir's lecture was really really helpful! We feel familiar with the R language now. Earlier we weren't able to grasp it that quickly. He was extremely patient with us and he clarified the littlest doubt someone had. I'd be more than happy to have him conduct more sessions."

Yeshita Kelkar– Batch 2020-2021


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Career Track

(4 Courses | 120 Hours)

(MDAE Certified Data Scientist )

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15 % Early-Bird Offer  


                                         (Excluding GST)
                                                                                                             Skills Track

  (1 Course | 30 Hours)

(Introduction to R Programming  )

Enroll Now

MDAE’s learning journey offers a candidate multiple entry and exit points. For those with prior exposure to the field, they can choose one or more of the courses on offer as long as they meet the course prerequisites. For example – a candidate who understands the basics of programming, can straightway opt to study the wrangling course or even the machine learning course. On the other hand, the career track allows a participant to deep dive and go through a solid training right from the foundation to the advance level. The career track is a 120 hour, 4 course training program which allows the candidate to pick a programming language between R or Python. The first course (Quant essentials for data science) is common across the programming languages, and the next 3 courses are specific to what you choose (R or python)

There are 3 distinct advantages of choosing a career track over a skills track –

1) Different certification – With the integrated 4 course training, candidates will become an MDAE Certified Data Scientist – an industry demanded certificate.

2) Small group mentoring – Candidates will receive live mentoring with industry’s best practitioners throughout the program.

3) Capstone projects – Deserving candidates can be evaluated for projects/internships with our industry partners.

   Be A MDAE Certified Data Scientist

    Quantitative Essentials For Data Science Certificate

Get in Touch

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Phone: +91 7045999326