R for Data Analysis Course in chennai
825 Ratings
R for Data Analysis Course in Chennai
Master statistical analysis, data visualization, and data-driven decision-making with Edubrights’ R for Data Analysis training in Chennai. This course is designed for students, freshers, data analysts, aspiring data scientists, researchers, business analysts, statisticians, and working professionals who want to analyze, visualize, and interpret data using the R programming language.
Gain hands-on experience with R programming, data manipulation, statistical modeling, exploratory data analysis, visualization techniques, reporting, and real-world analytics projects through practical industry use cases.
Key Highlights:
✅ Real-Time Data Analysis Projects & Business Intelligence Use Cases
✅ Live Instructor-Led Training by Experienced Data Analytics Experts
✅ Hands-On Practice with R Programming & Analytics Tools
✅ R Programming Fundamentals & Data Analysis Concepts
✅ Data Import, Cleaning & Transformation Techniques
✅ Data Frames, Functions & Data Manipulation with Tidyverse
✅ Exploratory Data Analysis (EDA) & Statistical Methods
✅ Data Visualization Using ggplot2 & Interactive Charts
✅ Descriptive Statistics, Hypothesis Testing & Regression Analysis
✅ Predictive Analytics & Introductory Machine Learning Concepts
✅ Reporting, Dashboards & Data Storytelling Techniques
✅ Integration with Databases, Excel & Business Intelligence Platforms
✅ Resume Building, Portfolio Development & Mock Interview Preparation
✅ Career Guidance, Placement Assistance & Certification Support
✅ Flexible Online, Classroom & Weekend Training Options
✅ Corporate Training for Analytics, Research & Business Teams
Build practical R programming and data analysis expertise, transform raw data into meaningful insights, and become industry-ready for careers in Data Analysis, Business Intelligence, Data Science, Statistical Analysis, and Research Analytics.
Call Course Advisor
₹16000
₹20000
Case Studies and Projects
2+
Hours of Training
20+
Placement Assurance
100%
Expert Support
Yes
Support & Access
Lifetime
Certification
Yes
Skill Level
All
Language
All
Course Objectives
1.What exactly R for Data Analysis training cover?
R for Data Analysis training covers programming in R, data manipulation, visualization, statistical analysis, and machine learning techniques using R language.
2. What are the main objectives of the R for Data Analysis course for your development skills?
The course aims to develop your ability to efficiently analyze and visualize data, apply statistical methods, and build predictive models using R.
Popular Techniques Covered in This Course
1.R programming basics
2.Data structures and manipulation
3.Data import/export
4.Data visualization
5.Statistical analysis
6.Machine learning fundamentals
7.Time series analysis
8.Text mining and NLP
9.Data cleaning techniques
10.Project implementation
Get Hands-on Knowledge about Real-Time Projects
Project 1
PROJECT : 1
Analyze and visualize a customer sales dataset to derive actionable insights.
Project 2
PROJECT : 2
Build a classification model to predict customer churn using R.
Key Features
Edubrights offers R for Data Analysis Training in virtual mode with expert trainers. Here are the key features,
40 Hours Course Duration
100% Job Oriented Training
Industry Expert Faculties
Free Demo Class Available
Completed 500+ Batches
Certification Guidance
Curriculum
Module 1: Introduction to R Programming
- Overview of R and RStudio environment
- Basic syntax, variables, and data types
Module 2: Data Structures in R
- Vectors, lists, matrices, and data frames
- Factors and their handling
Module 3: Data Importing and Exporting
- Reading/writing CSV, Excel, and database connections
- Web scraping and API integration basics
Module 4: Data Manipulation and Cleaning
- Using dplyr and tidyr for data wrangling
- Handling missing data and duplicates
Module 5: Data Visualization Using R
- Base R graphics and ggplot2 package
- Creating bar charts, histograms, box plots, scatter plots
Module 6: Statistical Analysis
- Descriptive and inferential statistics
- Hypothesis testing, regression, and correlation analysis
Module 7: Machine Learning Basics in R
- Introduction to supervised and unsupervised learning
- Applying classification and clustering algorithms
Module 8: Time Series Analysis
- Basics of time series data and forecasting
Module 9: Text Mining and NLP
- Text preprocessing and sentiment analysis
Module 10: Hands-on Projects and Case Studies
- Real-world data analysis applications
- Best practices and reporting
Receive Training From Our Skilled and Effective Trainers
Experience in the Industry Gain knowledge from experts with practical R for Data Analysis project experience in a variety of sectors.
Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture and cognizant employ trainers.
Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.
Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.
Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.
Succeed Our Resourceful Certification
Our certification validates your ability to use R for effective data analysis, visualization, and modeling. It prepares you for competitive roles in data science and analytics.
Course FAQs
Q1: What is R used for in data analysis?
It is used for statistical computing, visualizing, and predictive modeling.
Q2: Who should learn R for data analysis?
Data scientists, statisticians, and analysts.
Q3: Does the course cover data visualization?
Yes, with ggplot2 and base R graphics.
Q4: Will I learn data manipulation?
Yes, using packages like dplyr and tidyr.
Q5: Are machine learning topics included?
Yes, introduction to key ML algorithms.
Q6: Can R handle time series data?
Yes, including forecasting techniques.
Q7: Is text mining taught?
Yes, basic NLP methods are covered.
Q8: Will I learn statistical hypothesis testing?
Yes, comprehensive coverage provided.
Q9: Are hands-on projects included?
Yes, real-world data analysis projects
Q10: Does this prepare for data science roles?
Yes, skills applicable to a variety of data roles.
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