CoursesData ScienceData Science with R Programming
DS070
Data Science with R Programming
Explore the fundamentals and advanced concepts of data science with R programming. Topics include data manipulation, visualization, statistical modeling, machine learning, and real-world applications.
duration
12 Weeks
NEXT BATCH
Nov 26, 2024
mode
Online
payment options
Program Overview
Unlock the power of data with our Data Science with R Programming course. Dive into data manipulation, visualization, statistical analysis, and machine learning techniques using R to derive valuable insights and solutions.
Acquire valuable skills in data manipulation, statistical analysis etc.
Possess specialized skills in data science tools and languages
Advance to higher-level roles
Develop strong analytical and problem-solving skills
Eligiblility
Open to programming, statistics backgrounds or without prior experience. Familiarity with statistics advantageous but not mandatory. Suitable for Business, Humanities, Sciences backgrounds.
Why should you learn?
This course covers advanced statistics, machine learning, data visualization, predictive modeling, text mining, and big data analytics for comprehensive data analysis solutions.
Possible Job Roles
Upon completion, pursue roles like Data Scientist, ML Engineer, Statistical Analyst, BI Developer, Research Scientist across diverse industries with Data Science with R Programming course.
Salary Range
4 to 28 Lakhs Per Annum
Course Modules
12 Weeks COURSE
6 hours
R Introduction
+This module covers basics of R syntax, data types, functions, and visualization techniques for beginners in data science.
Overview of R Programming
Downloading and installing
Help of Function
Viewing documentation
General issues in R
Package Management
8 hours
Data Inputting in R
+Learn techniques to efficiently import and manage diverse data formats for analysis using R programming.
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
+Utilize R programming to create insightful visual representations of data for effective analysis and communication. Includes ggplot2, plotly, and interactive visualization techniques.
Creating bar chart and dot plot
Creating histogram and box plot
Plotting with base graphics
Plotting and coloring in R
4 hours
Basic Statistic
+This module covers foundational concepts such as descriptive statistics, probability distributions, hypothesis testing, and regression analysis for data analysis and interpretation.
Computing Basic Statistics
Comparing means of two samples1
Testing a proportion
Data Munging Basics
3 hours
Functions and Programming in R
+This module covers foundational concepts, data structures, control structures, and functions in R for data manipulation and analysis.
Flow control: For loop
If condition
Debugging tools
5 hours
Data manipulation in R
+Learn to efficiently clean, transform, and organize data using R programming, essential for exploratory analysis and model building.
List Management
Data Transformation
Merging Data Frames
Outlier Detection
Combining multiple vectors
4 hours
R an Database
+Utilize R for database interactions, querying, and data manipulation. Learn to integrate R with SQL databases for efficient data analysis workflows.
Performing queries
RODBC and DBI Package
Advanced Data handling
Combined and restructuring data frame
2 hours
Statistical Modelling in R
+Learn foundational statistical techniques, regression analysis, hypothesis testing, and model interpretation using the R programming language.
Logical Regression
Hierarchical Clustering PCA for Dimensionality Reduction
Certificate of Completion
This certificate acknowledges the student for successfully completing the program in Data Science with 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 personal details and payment information.
Aswathy A
VP, Product
Companies that our Alumni work in
Join Cokonet
Identify your suitable courses in a few clicks
Find from a list of 60+ courses to launch your career.
corporates
Looking to enroll your employees into this program?
Our Hire-Train-Transfer model revolutionises corporate talent acquisition by seamlessly connecting businesses with skilled professionals through customised training programs.
Know moreOur Corporate Training Services, delivered by industry experts, equip employees with the latest skills and certifications, enabling them to meet project demands and excel in cutting-edge domains.
Know moreCokonet's upcoming job portal, SurePool.in, provides top-notch staffing services, connecting businesses with qualified professionals for seamless workforce augmentation.
Know more
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.
Data Science with R Programming: Frequently Asked Questions (FAQs)
Explore our Data Science with R Programming FAQs for answers to common queries. Learn about course content, prerequisites, career prospects, and more, to make an informed decision about your data science journey.
While familiarity with programming concepts is beneficial, there are no strict prerequisites. This course is designed to accommodate learners with diverse backgrounds, including those from fields such as Business, Humanities, and Sciences.
Gain vital skills in R-based data manipulation, statistical analysis, and machine learning. Prepare for roles like Data Scientist, ML Engineer, and BI Developer across diverse industries.
The course covers data manipulation, visualization, statistics, machine learning, and real-world applications using R. Learn predictive modeling, text mining, and big data analytics.
Yes, you'll have access to the course materials even after completing the program. This allows you to review concepts, refer back to lectures, and continue learning at your own pace.
