Software Training Institute in Chennai with 100% Placements – SLA Institute

Easy way to IT Job

Data Science with R Online Course

(1987)
Live Online & Classroom Training
EMI
0% Interest

Our Data Science with R Online Training in Chennai 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 in Chennai.

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+91 89256 88858

Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
November 2024
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
November 2024
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

100% Assistance

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

This Course Includes

  • FREE Demo Class
  • 0% EMI Loan Facilities
  • FREE Softskill & Placement Training
  • Tie up with more than 500+ MNCs & Medium Level Companies
  • 100% FREE Placement Assistance
  • 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 in Chennai

The primary objective of our Data Science with R Online Course in Chennai 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 in Chennai

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.

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SLA builds your future with comprehensive coursework and unparalleled placement support.
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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.

Prerequisites for learning Data Science with R Online Course in Chennai

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 in Chennai 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 in Chennai

After finishing the Data Science with R Online Course in Chennai, 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.
  • Healthcare Data Analyst:  Examine healthcare data to support clinical decision-making, research, and policy development.
  • Market Research Analyst: Research and analyze market trends to help businesses understand consumer behavior and market dynamics.
  • Data Science Consultant: Offer expert advice on data analysis, modeling, and strategy to organizations in various industries.  

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The Placement Process at SLA Institute

  • To Foster the employability skills among the students
  • Making the students future-ready
  • Career counseling as and when needed
  • Provide equal chances to all students
  • Providing placement help even after completing the course

Data Science with R Course FAQ

How do normalization and standardization impact statistical analysis in R?

Normalization (scaling features within a specific range) and standardization (adjusting features to have a mean of zero and a standard deviation of one) are crucial preprocessing steps that enhance the accuracy and efficiency of statistical analyses and machine learning models. These methods ensure that all variables contribute equally, mitigating any biases from features with larger scales or variances.

What advantages does R provide for exploratory data analysis (EDA)?

R is equipped with robust tools and packages for exploratory data analysis, including ggplot2 for creating detailed visualizations and dplyr for efficient data manipulation. These tools help analysts swiftly identify patterns, spot anomalies, and gain insights from the data, which is essential for understanding the dataset before proceeding with more complex analyses.

In what ways does feature selection affect the performance of data science models?

Feature selection is the process of identifying the most relevant variables for a model, which enhances its performance by reducing overfitting, improving interpretability, and lowering computational costs. By focusing on the most significant predictors, feature selection leads to more accurate and efficient models.

How is statistical hypothesis testing used in data science projects?

Statistical hypothesis testing is vital for validating assumptions and evaluating the significance of results in data science. It allows data scientists to determine whether observed patterns or differences are statistically significant or likely due to random variations. This process supports making data-driven decisions and drawing reliable conclusions in various analytical contexts.

Where is the corporate office of the SLA Institute located?

The corporate office of the SLA Institute is located in the K.K.Nagar branch.

Is there an EMI option available in the SLA Institute?

The SLA Institute offers EMI options for students with 0% interest. 

Is it easy to learn about Data Science with R Course in Online mode?

Learning Data Science with R Course can be easy and interesting if students maintain a good attendance record and by cooperating with our experienced trainers. 

 How long is the Data Science with R Online Course?

The Data Science with R Online Course is 2 months long.

On Average Students Rated The Data Science with R Course 4.80/5.0
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