Data Science With R Programming Course Course

4achievers is one of the best Data Science With R Programming Course training institutes. 4Achieversy offer a comprehensive Data Science With R Programming Course course that covers all the essential topics related to the subject. 4Achievers course syllabus is designed to give students an in-depth understanding of the subject and help them develop the necessary skills to become a successful data scientist. 4Achievers course fees are very reasonable and the institute offers placement for Job ready candidates, internship, and job opportunities. Additionally, the course is available both online and offline, making it accessible to everyone. 4Achievers is also suitable for students who have just completed their 12th grade and are looking to pursue a career in data science. So don't hesitate! Contact us today on +91 8010805667 or send us an email at info@4achievers.com to get the best Data Science With R Programming Course course near you.

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That support system is rare. We built a Real-time E-commerce App as a capstone project. Seeing my code run live gave me confidence I never had before.

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Data Science With R Programming Course Curriculum

Comprehensive 40+ hours of live content designed by industry experts.

Data Science With R Programming Course Certification Course

5.2k+ Learners Weekend/Weekdays Batches Live Instructor-led
4.9 (2,840 Verified Reviews)

Detailed Syllabus

Click on modules to view detailed topics.

01

Introduction - Data Science With R Programming Course

6 Topics • Hands-on Lab

  • Overview
  • Concepts
  • Scope
  • Tools
  • Basics
  • Use Cases
02

Fundamentals - Data Science With R Programming Course

6 Topics • Hands-on Lab

  • Core Concepts
  • Architecture
  • Workflow
  • Design
  • Implementation
  • Examples
03

Tools & Setup - Data Science With R Programming Course

6 Topics • Hands-on Lab

  • Installation
  • Environment Setup
  • Configuration
  • Tools
  • Usage
  • Best Practices
04

Core Module 1 - Data Science With R Programming Course

6 Topics • Hands-on Lab

  • Concept A
  • Concept B
  • Hands-on
  • Examples
  • Practice
  • Assignments
05

Core Module 2 - Data Science With R Programming Course

6 Topics • Hands-on Lab

  • Concept C
  • Concept D
  • Projects
  • Use Cases
  • Advanced
  • Practice
06

Advanced Concepts - Data Science With R Programming Course

6 Topics • Hands-on Lab

  • Deep Dive
  • Optimization
  • Scaling
  • Security
  • Debugging
  • Best Practices
07

Integration - Data Science With R Programming Course

6 Topics • Hands-on Lab

  • API
  • Database
  • Third-party
  • Automation
  • Testing
  • Deployment
08

Testing - Data Science With R Programming Course

6 Topics • Hands-on Lab

  • Unit Testing
  • Integration Testing
  • Debugging
  • QA
  • Performance
  • Security
09

Project Work - Data Science With R Programming Course

6 Topics • Hands-on Lab

  • Live Project
  • Implementation
  • Client Use Case
  • Execution
  • Review
  • Delivery
10

Career & Placement - Data Science With R Programming Course

6 Topics • Hands-on Lab

  • Resume
  • Interview
  • Portfolio
  • LinkedIn
  • Mock
  • Jobs

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Node.JS Agile Activity - Student participation at 4Achievers

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Campus Life

Data Analysis Agile Activity - Student participation at 4Achievers

Big Data Hadoop Agile Activity - Student participation at 4Achievers

Campus Life

Big Data Hadoop Agile Activity - Student participation at 4Achievers

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Online Automation Testing Agile Activity - Student participation at 4Achievers

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