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Data Visualization In R

21 Lessons
|
40 hours

Learn how to create clear and impactful data visualizations using R. In this course curriculum you will cover building charts, graphs and visual reports using libraries like ggplot2 and plotly. By the end of this training you will be able to transform datasets into visual insights for data analysis, reporting, and decision making.

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Data Visualization In R
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About Course

Prerequisites

  • Basic knowledge of R
  • Understanding of R data structures (vectors, lists, data frames)
  • Familiarity with RStudio
  • Basic data import and file handling (CSV or similar formats)
  • Basic data manipulation and subsetting

What You Will Learn

  • Understanding data visualization concepts and best practices
  • Preparing and cleaning data for visualization in R
  • Creating charts using ggplot2
  • Customizing visualizations with themes, labels, and layouts
  • Building interactive visualizations using plotly
  • Performing exploratory data analysis (EDA) using visual techniques
  • Creating reports with R Markdown
  • Building dashboards using Shiny

Course Curriculum

Course Content

Lesson 1 – Introduction to Data Visualization in R

  • Data visualization fundamentals
  • Role of visualization in data analysis
  • Overview of the R visualization ecosystem

Lesson 2 – Data Preparation for Visualization

Lesson 3 – Grammar of Graphics and ggplot2 Basics

Lesson 4 – Creating Core Charts

Lesson 5 – Customizing and Enhancing Visualizations

Lesson 6 – Interactive and Advanced Visualizations

Lesson 7 – Data Reporting and Dashboards

₹199.00
  • Intermediate
  • 50 Total Enrolled
  • 40 hours Duration
  • September 15, 2026 Last Updated

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    Self Paced Learning
    ₹199.00
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    • Duration: 40 hrs
    • 21 Lessons & Practical Labs
    • Lifetime Full Access & Free Upgrades
    • Downloadable Study Materials & Code Labs
    • Recognized Certification of Completion
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    ₹199.00
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    • Live Interactive Training: 40 hrs
    • 21 Lessons across 7 Modules
    • Plus Full Self-Paced Access & Recordings
    • Real-World Projects & Case Studies
    • 1-on-1 Doubt Sessions with Industry Experts
    • Exam Prep & Official Certification Support
    • Resume Building & Placement Assistance
    Classes Starting From:
    📅 Fast Track Batch: 2 Oct 2026
    📅 Weekday Batch: 5 Oct 2026
    📅 Weekend Batch: 3 Oct 2026
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    • 100% Customized Delivery & Curriculum
    • Flexible Schedule as per Learner Convenience
    • Top Tier Industry-Experienced Instructors
    • Tailored Hands-On Project Mentoring
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    Placement Partners

    Hettich
    Bechtel
    Emirates
    Mitsubishi
    Indian Navy
    Tech Mahindra
    AU Small Finance Bank
    Capgemini
    United Nations
    Yash Technologies

    Want to know Today's Offer

    Data Visualization In R Certification Exam

    Upon completing the Data Visualization In R, you will receive a globally recognized certification that validates your expertise in data analytics, visualization, and business intelligence. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

    The Business Intelligence certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

    Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

    Read more
    Data Visualization In R

    Frequently Asked Questions

    The Data Visualization In R is designed to provide comprehensive, in-depth training in Data Visualization In R. Prerequisites Basic knowledge of R Understanding of R data structures (vectors, lists, data frames) Familiarity with RStudio Basic data import and file handling (CSV or similar formats) Basic data manipulation and subsetting What You Will Learn Understanding data visualization concepts and best practices Preparing and cleaning data for visualization in R Creating charts using ggplot2 Customizing visualizations with themes, labels, and layouts Building interactive visualizations using plotly Performing exploratory data analysis (EDA) using visual techniques Creating reports with R Markdown Building dashboards using Shiny The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

    This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in Data Visualization In R and qualify for relevant industry roles. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

    The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

    Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using Data Visualization In R tools and best practices, helping you build a portfolio to showcase to hiring managers.

    Upon successful completion of the course curriculum and project assessments, you will be awarded an industry-recognized Certificate of Completion from Kodestree. We also offer career assistance, including resume-building workshops, mock technical interviews, and job opportunities to help you transition into relevant industry roles.

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    WhatsApp:
    +91 7204614489

    Email:
    admissions@kodestree.com

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    The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

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    After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

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    Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

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    Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

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    This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

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