Data Science with R Online Course

4.80/5.0

(1987)

duration

2-3 Months

EMI

0% Interest

Mode

Live Online / Offline

Our Data Science with R Online Training will make students learn some of the most in-demand concepts in Data Science with R such as – Data Inputting in R, Data Visualization, Basic Statistics, Functions and Programming in R, Statistical Modelling in R etc. This curriculum will surely make students experts in the concept of Data Science with R in a shorter span of time. Our Data Science with R Online Course with 100% placement support is curated with the help of leading experts from the IT industry, which makes our Data Science with R Online Course up-to-date in accordance with the latest trends.

Our SLA Institute is guaranteed to place you in high-paying Data Scientist and other Data Science with R related jobs with help of our experienced placement officers. SLA Institute’s Course Syllabus for Data Science with R covers all topics that are guaranteed to give you a complete understanding of the Data Science with R Online Course.

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Lifelong Placement
Support

Get Certified

Upcoming Batches

Hands On Training

3-5 Real Time Projects

60-100 Practical Assignments

3+ Assessments / Mock Interviews

August 2026

Week days
(Mon-Fri)

Online/Offline

2 Hours Real Time Interactive Technical Training

1 Hour Aptitude

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee

August 2026

Week ends
(Sat-Sun)

Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Quick Enquiry

Placement

Dedicated placement support

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

We Tie-Up with 1000+ Leading IT and MNC Companies

SLA's Hiring and Placement Partner: Tredence

SLA's Hiring and Placement Partner: Tanla

SLA's Hiring and Placement Partner: Observeai

SLA's Hiring and Placement Partner: GlobalLogic

SLA's Hiring and Placement Partner: Prodapt

SLA's Hiring and Placement Partner: Intellect

SLA's Hiring and Placement Partner: Highradius

SLA's Hiring and Placement Partner: Latent View

SLA's Hiring and Placement Partner: Napier

SLA's Hiring and Placement Partner: Acs Solutions

SLA's Hiring and Placement Partner: Valuemomentum

SLA's Hiring and Placement Partner: Birlasoft

This Course Includes

FREE Demo Class
0% EMI Loan Facilities
FREE Softskill & Placement Training
Tie up with more than 500+ MNCs & Medium Level Companies
Dedicated placement support
Course Completion Certificate
Training with Real Time Projects
Industry-Based Coaching By MNC IT Professionals

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Expected Criteria for Assured Placement

The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.

80% of coursework completion helps us arrange interviews in required companies.
2 or 3 projects to be done for the selected course to ace the technical round effectively.
Ensure attending the placement training right from the first day of the selected course.
Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
Utilize the internship training program at SLA for the complete technical skills.
Collect the course completion certificate and update the copy to the placement team.
Ensure your performance indicator meets the expectation of top companies.
Always be ready with the updated resume that includes project details done at SLA.
Enjoy unlimited interview arrangements along with internal mock interviews.

Have Queries? Ask our Experts

+91 89256 88858

SLA's Distinctive Placement Approach

1

Tech Courses

2

Expert Mentors

3

Assignments & Projects

4

Grooming sessions

5

Mock Interviews

6

Placements

Objectives of Data Science with R Online Course

The primary objective of our Data Science with R Online Course is to make enrolled candidates experts in Data Science with R. This Data Science with R Online Course will make students grow into successful and most in-demand Data Scientists, and more. SLA Institute’s Data Science with R Online Course Curriculum is loaded with some of the most useful and rare concepts that will surely give students a complete understanding of Data Science with R. So, some of those concepts are discussed below:

To make students well-versed with fundamental concepts of Data Science with R like – Subsetting, Writing data, Reading from csv files, Creating a vector and vector operation, Creating bar chart and dot plot, Creating histogram and box plot, Plotting with base graphics etc.
To make students learn more about Data Science with R Course like – Comparing means of two samples, Testing a proportion, Data Munging Basics; Comparing means of two samples, Testing a proportion, Data Munging Basics etc.
To make students knowledgeable in the advanced topics of Data Science with R thorough learning topics like – List Management, Data Transformation, Merging Data Frames; Performing queries, RODBC and DBI Package, Advanced Data handling etc.

Scopes in the future for Data Science with R Online Course

The following are the scopes available in the future for the Data Science with R Online Course:

Advanced Statistical Analysis: Employ R’s comprehensive statistical tools for detailed data analysis, including sophisticated modeling and hypothesis testing.

Data Visualization: Utilize R’s visualization libraries, such as ggplot2, to design advanced and interactive data visualizations.

Bioinformatics: Apply R to interpret biological data, including genetic sequences and clinical trial results.

Predictive Modeling: Develop and implement predictive models using R’s machine learning libraries to forecast future trends and outcomes.

Project Practices on Data Science with R Training

Project 1Customer Segmentation

Examine customer data to segment the customer base into distinct groups.

Project 2Sales Forecasting

Create models to predict future sales based on historical data.

Project 3Social Media Sentiment Analysis

Analyze social media content to gauge sentiment (positive, negative, neutral) regarding a brand or topic.

Project 4Fraud Detection

Detect fraudulent activities in financial transactions using anomaly detection techniques.

Project Practices for Data Science with R

Prerequisites for learning Data Science with R Online Course

SLA Institute does not demand any prerequisites for any course at all. SLA Institute has courses that cover everything from the fundamentals to advanced topics so whether the candidate is a beginner or an expert they will all be accommodated and taught equally in SLA Institute. However having a fundamental understanding of these concepts below will help you understand Data Science with R better, However it is completely optional:

Basic Mathematics and Statistics: A firm grasp of fundamental mathematics and statistics is crucial. This includes understanding basic concepts like algebra, probability, statistical tests, and data distributions.

Programming Skills: Proficiency in programming, particularly with R, is necessary. Knowing the basics of R syntax, data structures, and functions will facilitate your progress through the course.

Data Handling and Manipulation: Experience with data manipulation and cleaning is important. This involves handling datasets, performing data wrangling, and preparing data for analysis.

Fundamentals of Data Analysis: Knowledge of basic data analysis techniques, including exploratory data analysis (EDA), is useful. This involves using statistical measures and visualizations to identify patterns in the data.

Our Data Science with R Online Course is apt for:

Students eager to excel in Data Science with R
Professionals considering transitioning to Data Science with R careers
IT professionals wanting to enhance their Data Science with R skills
Data Scientists who are looking forward to expanding their expertise.
Individuals searching opportunities in the Data Science with R field.

Job Profile for Data Science with R Online Course

After finishing the Data Science with R Online Course, students will be placed in various organizations through SLA Institute. This section will explore the various range of job profiles in which students can possibly be possible be placed as in the Data Science with R sector;

Data Scientist: Data Science with R Online Course will train students into successful Data Scientist who interpret complex data sets to generate actionable insights and create predictive models.

Data Analyst: Data Science with R Online Course will make students into skilled Data Analysts who gather, process, and analyze data to generate actionable insights, and create visual reports and dashboards.

Statistical Analyst: Employ statistical techniques to analyze data and produce reports that guide business strategies.

Machine Learning Engineer: Data Science with R Online Course will turn students into skilled Machine Learning Engineer who design, build, and implement machine learning models and systems, focusing on optimizing and scaling these models for production.

Bioinformatics Data Analyst: The SLA Institute will train students into successful Bioinformatics Data Analysts who will analyze biological data, including genomic information, to aid research and development in the healthcare sector.

Business Intelligence Analyst: The SLA Institute will make students into skilled Business Intelligence Analysts who will utilize data analysis and visualization to offer insights into business performance and trends.

Econometrician: The SLA Institute will turn students into Econometricians who will use econometric models to analyze economic data and predict economic trends.