This Comprehensive Training will help you become an expert in R programming. Take a deep dive in the mysteries of RStudio.
Duration : 6 months Classes : 36 Days : Weekdays / Weekends
R is one of the most powerful machine learning platforms and is used by the top data scientists in the world.
R is rapidly becoming the lingua franca of Data Science. Demand for trained individuals with R knowledge is growing, and consequently learning R is definitely a smart investment career wise.
Stop being intimidated by data and start driving real business insights. Our "R for Data Science" course is an intensive, project-based program designed to take you from a curious beginner to a proficient data analyst using the industry-standard tidyverse ecosystem. Unlike theoretical courses, this module is entirely focused on the practical, end-to-end workflow-from data ingestion to visualization and communication. Learn to embrace the power of code for reproducible analysis and unlock data-driven career opportunities.
Discover the power of data-driven decision-making with our immersive course R for Data Science. This program is designed to equip learners with the analytical and programming skills needed to transform raw data into meaningful insights using R-one of the most widely used languages in data science and statistics. Through hands-on projects, real-world datasets, and guided instruction, participants will master the tidyverse ecosystem, including tools like ggplot2, dplyr, tidyr, and readr. Whether you're cleaning messy data, visualizing trends, or building predictive models, this course provides a practical foundation for solving complex problems with clarity and precision. Ideal for those entering the world of data or looking to sharpen their analytical edge, it's a gateway to becoming a confident and capable data scientist.
This course blends theory with hands-on practice to help you build intelligent systems that learn and adapt. Whether you're looking to break into AI or sharpen your DL/ML/DS toolkit, this program delivers the skills and confidence to thrive.
Target Audience:-
-Business analysts and professionals looking to enhance their data literacy
-Students and researchers in social sciences, economics, public health, and education
-Early-career data scientists and statisticians seeking hands-on experience with R
-Academics and researchers who want to streamline data analysis and reporting
-Anyone curious about data science and eager to build a strong foundation in R
-Recent Graduates in non-CS fields (e.g., Economics, Biology, Business)
Program Outcomes:-
-Tidy Data Mastery & Stunning Visualizations
-Reproducible Reporting
-Statistical Ecosystem
-Work with real-world datasets to solve practical analytical problems
-Develop a complete data science project from data ingestion to insight presentation
Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training
Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas
This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.
Module 1: R Fundamentals
✔ R and RStudio Environment
✔ R Data Structures
✔ Tidyverse Philosophy
✔ Importing Data
✔ Basic Data Inspection
✔ Common mistakes with R
Module 2: Data Transformation and Wrangling
✔ Subset and Select
✔ Mutate and Arrange
✔ Summarizing Grouped Data
✔ Reshaping Data
✔ Combining Datasets
Module 3: Data Visualization
✔ The Grammar of Graphics
✔ Common Geometries
✔ Customization and Scales
✔ Faceting and Grouping
✔ Statistical Transformations and Themes
Module 4: Data Communication and Reproducibility
✔ Introduction to R Markdown
✔ Dynamic Reporting
✔ Basic Interactive Visualization
✔ Web Applications
✔ Functional Programming
Module 5: Foundational Statistical Modeling
✔ Descriptive statistics and summary functions
✔ Correlation analysis and pairwise plots
✔ Hypothesis testing and confidence intervals
✔ Simple Linear Regression
✔ Tidy Modeling with broom
✔ Logistic Regression
✔ Introduction to TidyModels
✔ Model Evaluation and Prediction
✔ Financial Statement Analysis
Module 6: Capstone Project
✔ Project Scope
✔ Select a real-world dataset and define a question
✔ Apply full data science workflow: import, wrangle, visualize, model, report
✔ Present findings with code, visuals, and narrative
Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.