CoursesProgrammingR Programming
P008
R Programming
Master advanced R programming for intricate data analysis and visualization with expert guidance and real-world projects in our certification course.
duration
12 Weeks
NEXT BATCH
Nov 26, 2024
mode
Online
payment options
Program Overview
Unleash your analytical prowess with our course! Master R Programming, statistical analysis, data visualization, machine learning, and interview skills for a thriving career in data science.
Enables job seekers to uncover insights from complex datasets
Many companies offer remote work options for R programmers
R skills are in demand globally
Career advancement and higher-paying roles
Eligiblility
Advanced R Programming is designed for CS grads, IT pros, and seasoned developers aiming to excel in data analysis, stats, ML, and visualization using R.
Why should you learn?
Dive deep into R programming, mastering data analysis, statistical modeling, machine learning, web development, and advanced packages like ggplot2 and Shiny for robust data-driven projects.
Possible Job Roles
After mastering R programming, unlock career paths in data analysis, statistics, business analysis, finance, epidemiology, bioinformatics, and market research.
Salary Range
3 to 10 Lakhs Per Annum
Course Modules
12 Weeks COURSE
5 hours, 30 minutes
R Introduction
+Dive into fundamental concepts and syntax of R for data analysis, visualization, and statistical computing.
Overview of R Programming
Downloading and installing
Help of Function
Viewing documentation
General issues in R
Package Management
8 hours
Data Inputting in R
+Master data input techniques in R, covering file reading, data importing from databases, APIs, and web scraping for comprehensive data handling.
Data Types
Subsetting
Writing data
Reading from csv files
Creating a vector and vector operation
Initializing data frame
Control structure
Redirecting R Output
4 hours
Data Visualization
+Explore Data Visualization in R: Learn techniques to create impactful visualizations for better understanding and communication of data insights.
Creating bar chart and dot plot
Creating histogram and box plot
Plotting with base graphics
Plotting and coloring in R
4 hours
Basic Statistics
+Learn Basic Statistics in R Programming: Explore fundamental statistical concepts and techniques for data analysis.
Computing Basic Statistics
Comparing means of two samples
Testing a proportion
Data Munging Basics
3 hours
Functions and Programming in R
+Learn functions and programming techniques in R, mastering essential skills for data manipulation, analysis, and visualization.
Flow control: For loop
If condition
Debugging tools
5 hours
Data Manipulation in R
+Explore data manipulation techniques in R, covering data cleaning, transformation, merging, and summarization for effective data analysis.
List Management
Data Transformation
Merging Data Frames
Outlier Detection
Combining multiple vectors
4 hours
Database in R
+Explore Database Integration in R module, covering data manipulation, querying, and interaction with various database systems, enhancing data analysis capabilities.
Performing queries
RODBC and DBI Package
Advanced Data handling
Combined and restructuring data frames
2 hours
Statistical Modelling in R
+Explore Statistical Modelling in R module, covering regression, ANOVA, hypothesis testing, and data visualization for advanced statistical analysis.
Logical Regression
Hierarchical Clustering PCA for Dimensionality Reduction
Certificate of Completion
Upon completing the R Programming course, the Certificate of Completion acknowledges student's proficiency in R programming.
Admission Process at Cokonet
The course admission process at Cokonet involves streamlined procedures ensuring efficient enrollment for prospective students.
Step 1Speak With our Career Counselor
Our career counselor will help you identify the suitable course for you.
Step 2Complete Payment
Finalize the transaction securely using the provided payment methods.
Step 3Get Enrolled
Enroll in the chosen course, providing your personal details and payment information.
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Financing & Support
0% Interest Loans
Access 0% interest loans (6/9/12 Months EMI) for your education, ensuring affordability while you pursue your dreams.
Pay in Installments
Ease your financial burden with our convenient installment payment options.
Scholarships
We believe in supporting aspiring learners by providing financial aid to help them pursue their dreams.
Laptop Support
Seamless assistance with our comprehensive laptop support services.
R Programming: Frequently Asked Questions (FAQs)
Find answers to common queries about curriculum, prerequisites, projects, and career prospects.
Basic understanding of programming concepts and familiarity with data analysis are recommended but not required.
The course covers advanced topics such as data manipulation, statistical modeling, machine learning, and data visualization using R.
Completion of the course will enhance your data analysis and programming skills, making you eligible for roles in data science, analytics, and research.
The course includes practical exercises and projects that simulate real-world scenarios, allowing you to apply R programming skills to solve complex problems.
