R for Data Analysis and Reporting

This 1-week course is a live, online and multilingual interactive course which introduces the R programming language. Build a strong foundation in Data Analysis, get familiar with industry-approved best practices in using RStudio Desktop, get career guidance, tips & tricks on how to use AI Tools, and bonus resources worth πŸ’²πŸ’²πŸ’²

Live Course
RStudio Desktop
Data Analysis
AI Tools

Accelerate your career with expertise in Data Analysis and Reporting with

By the end of this 1-week course, you will understand how to leverage R and RStudio Desktop to accelerate in your data journey, save time and open doors to new opportunities.

Why R?

R is a powerful programming language commonly used for statistical computing and data analysis. It has a large and active community, which makes it easy to find help when you need it.

R has a simple and easy-to-learn syntax, making it a good choice for beginners. Additionally, R is open-source and free to use, which means you don’t need to spend money to learn it.

Learning R will also help you in data visualization, machine learning and statistical analysis which are useful skills in today’s data-driven world.

β€œR is not a language driven by the purity of its philosophy; R is a language designed to get shit done.” β€” @hadleywickham, rstudioconf2022.

R is also widely used in many industries, such as finance, healthcare, and technology, which means you will have many job opportunities once you learn it.

Enroll Now, limited seats only!

How is this course different from others?

There are many online courses on Udemy, Coursera, Edureka etc., which are probably priced the same or even less than this course. Then why should you take this course❓

Topic Other Online Courses R for Data Analysis and Reporting
Mode of Instruction πŸ’’ Recorded Videos βœ… Live and Online
Interaction with Instructor

πŸ’’ Minimal or None.

No scope to get real-time answers to specific problems

βœ… Full Fledged Video Interaction with LIVE answers to address your specific questions
Interaction with other participants πŸ’’ Non-existent or Limited through comments only βœ… Batch-wise WhatsApp group for collaborative learning and sharing experiences
Language of Instruction πŸ’’ Single Language (usually English) βœ… Multi-lingual (English, Hindi, Marathi and/or Kannada)
Course Content πŸ’’ Fixed and outdated! βœ… Latest features and techniques; Course content gets updated with new features or packages launched for R or RStudio Desktop
Best Practices πŸ’’ Minimal or Non-existent βœ… Special attention to inculcate industry-approved best practices at every step
Individual Attention πŸ’’ Minimal βœ… Guaranteed Individual attention due to small batch size (10 persons only)
Helpful Add-ins and AI Tools πŸ’’ Minimal βœ… Curated list of RStudio Add-Ins and AI Tools for enhanced learning and improved productivity
Career Guidance πŸ’’ Non Existent βœ… Tailored guidance for each participant throughout the training!

For an absolute PAISA VASOOL experience, LOCK-IN your spot and put your doubts to rest!

Book My Spot Now!

What will you get?

The course content has been specially curated by Vishal Katti, who is also the Instructor for this course. The course introduces the Programming Language and demonstrates why it is a game-changer for data analysts who want to elevate their data skills. The Instructor demonstrates some interesting data manipulation techniques and operations that will radicalize your way of thinking about data.

Course Plan

Day 1

  • Introduction: Why should you learn R?
  • Best Practices and Customizing RStudio
  • Variables and Data Types in R
  • Basic Dataframe operations
  • Vectorization
  • Q&A

Day 2

  • Tidy Data Concept
  • Installing Packages and Best Practices
  • Importing data into R from CSV/Excel
  • tibble vs data.frame
  • Q&A

Day 3

  • Functions and Piping Functions
  • Data Manipulation
  • Best Practices
  • Q&A

Day 4

  • Visualizations
  • Notebooks
  • Q&A

Day 5

  • Exploratory Data Analysis (EDA)
  • LIVE DEMO: EDA for IPL Men’s Cricket Matches Data (2008-2023)
  • Q&A
  • Bonus Track

This course is going to be Live, which means you will be able to interact with the Instructor in real-time. No more recorded videos where the presenter doesn’t pay attention to you or your chat messages!!

The Instructor is well-versed in English, Hindi, Marathi and Kannada. He also understands Konkani and Punjabi but not enough to respond in the same language. This means that you can ask a question in any of these languages and expect an answer to your specific question immediately.

With a small batch size of only 10 participants, the Instructor promises that you get personalized attention guaranteeing an experience worth every penny! Get answers to all your questions and more!

Participants can avail 1-on-1 support via WhatsApp chat during office hours! See the Terms and Conditions for specifics.

The Instructor will demonstrate a curated list of AI Tools which will help not only cement your learning but also help boost your productivity while using !

πŸŽ“ Certificate of Completion (T&C Apply)

🎯 A cheat-sheet listing the most useful packages.

⚑ A curated list of RStudio Add-ins for saving hours of time.

πŸ’² A Referral Code to earn your money back!!!

Great! Sign Me Up!

Batch Timings

Registrations are currently open for June, July and August 2024 batches.

It is a 1-week program from Monday to Friday, from 9:00 PM - 11:00 PM Indian Standard Time (IST).

Enroll Now!!

Still not convinced? Book a call and let's talk 1-on-1.
  1. Deadline for Registration: The final date for registration for a batch is 2 days before the start of the batch

  2. Cancellation Policy: Should a registrant wish to cancel their registration; they may do so freely until the aforementioned deadline and get a FULL REFUND. Any cancellation requests received after this time will get PARTIAL REFUND of their Registration Fees minus a penalty of β‚Ή 500/- up until the commencement of the course. Once a batch starts, all registrations become final, and NO REFUND will be issued under any circumstances.

  3. Change of Batch: This is subject to availability of free slots in other scheduled batches.

  4. Punctuality and Attendance: Participants are expected to adhere to scheduled session times punctually, respecting the time commitments of all involved.

  5. Live Course Content: We encourage participants to engage actively during sessions, as the course is conducted live and does not offer recorded content for review.

  6. 1-on-1 Support: This will be available only for 7 days post batch completion, between 10:00 AM to 5:00 PM only.

  7. Certificate of Completion: Participants who attend all 5 days of a batch and submit the final assignment within 7 days of batch completion will be given a Certificate of Completion