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Data Analytics with R Programming Certification Training Course

Data Analytics with R Programming Certification Training Course

Edureka’s Data Analytics with R program delivers a balanced mix of data wrangling, visualization, statistical analysis, and modeling—culminating in an end-to-end capstone that mirrors real-world workf...

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Data Analytics with R Programming Certification Training Course is an online beginner-level course on Edureka by Unknown that covers data analytics. Edureka’s Data Analytics with R program delivers a balanced mix of data wrangling, visualization, statistical analysis, and modeling—culminating in an end-to-end capstone that mirrors real-world workflows. We rate it 9.7/10.

Prerequisites

No prior experience required. This course is designed for complete beginners in data analytics.

Pros

  • Hands-on emphasis with real datasets across every module
  • Strong coverage of both static and interactive visualization techniques using Shiny and plotly
  • Comprehensive capstone project that showcases complete analytics workflow

Cons

  • Limited focus on time-series and clustering methods—requires supplemental courses for advanced analytics
  • Assumes basic familiarity with R; absolute beginners may need a rapid primer

Data Analytics with R Programming Certification Training Course Review

Platform: Edureka

Instructor: Unknown

What will you learn in Data Analytics with R Programming Certification Training Course

  • Perform data import, cleaning, and manipulation in R using readr, dplyr, and tidyr

  • Visualize data with ggplot2: scatterplots, bar charts, histograms, boxplots, and thematic customization

  • Apply statistical analysis: summary statistics, hypothesis testing (t-tests, chi-square), correlation, and ANOVA in R

  • Build predictive models with linear and logistic regression, decision trees, and random forests using caret

  • Automate reporting with R Markdown and Shiny apps for interactive dashboards and reproducible analysis

Program Overview

Module 1: R Environment & Data Import

2 hours

  • Topics: Installing R/RStudio, package management, working directory, data types

  • Hands-on: Load CSV, Excel, and JSON datasets; inspect with str(), glimpse(), and summary functions

Module 2: Data Wrangling with dplyr & tidyr

3 hours

  • Topics: filter(), select(), mutate(), summarize(), group_by(), pivot_longer(), pivot_wider()

  • Hands-on: Clean messy survey data, reshape wide ↔ long, derive new variables

Module 3: Exploratory Data Visualization

3 hours

  • Topics: Grammar of graphics, ggplot2 aesthetics, scales, facets, themes

  • Hands-on: Create and customize multi-panel plots to reveal trends and outliers

Module 4: Statistical Analysis in R

2.5 hours

  • Topics: Descriptive stats, confidence intervals, t-tests, chi-square tests, one-way ANOVA

  • Hands-on: Test differences in group means and associations between categorical variables

Module 5: Predictive Modeling with caret

4 hours

  • Topics: Data partitioning, cross-validation, training linear/logistic regression, decision trees, random forests

  • Hands-on: Build and compare model performance (RMSE, accuracy), tune hyperparameters

Module 6: Advanced Visualization & Reporting

2 hours

  • Topics: Interactive plots with plotly, dashboards with Shiny, reproducible reports with R Markdown

  • Hands-on: Deploy a Shiny app showcasing key metrics; generate a PDF report from R Markdown

Module 7: Capstone Project – End-to-End Analytics Workflow

4 hours

  • Topics: Project scoping, data pipeline, analysis, modeling, visualization, and presentation

  • Hands-on: Execute a complete analytics case study (e.g., customer churn, sales forecasting) and deliver an interactive dashboard

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Job Outlook

  • Data Analyst: $65,000–$90,000/year — extract insights and build visual reports using R in finance, healthcare, and marketing

  • Business Intelligence Analyst: $70,000–$100,000/year — develop dashboards and statistical models to inform strategic decisions

  • Statistical Programmer / R Developer: $75,000–$110,000/year — implement data pipelines, develop Shiny apps, and automate analyses

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Last verified: March 12, 2026

How Data Analytics with R Programming Certification Training Course Compares

CoursePlatformRatingLevelDuration
Data Analytics with R Programming Certification Training CourseEdureka9.7/10BeginnerN/A
Data Analysis for Life Sciences courseEDX9.7/10N/AN/A
PredictionX courseEDX9.7/10N/AN/A
Data Analysis for Genomics courseEDX9.7/10N/AN/A

Who Should Take Data Analytics with R Programming Certification Training Course?

This course is best suited for learners with no prior experience in data analytics. It is designed for career changers, fresh graduates, and self-taught learners looking for a structured introduction. The course is offered by Unknown on Edureka, combining institutional credibility with the flexibility of online learning. Upon completion, you will receive a certificate of completion that you can add to your LinkedIn profile and resume, signaling your verified skills to potential employers.

If you are exploring adjacent fields, you might also consider courses in Arts and Humanities Courses, Business & Management Courses, Computer Science Courses, which complement the skills covered in this course.

Career Outcomes

  • Apply data analytics skills to real-world projects and job responsibilities
  • Qualify for entry-level positions in data analytics and related fields
  • Build a portfolio of skills to present to potential employers
  • Add a certificate of completion credential to your LinkedIn and resume
  • Continue learning with advanced courses and specializations in the field

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FAQs

Do I need prior HPC or supercomputing experience to take this course?
No prior HPC or supercomputing experience required. Covers logging in, data transfer, and environment module usage. Introduces hardware and software stacks of HPC clusters. Hands-on exercises for job submission using PBS and Slurm. Builds foundational skills for scientific and parallel computing tasks.
Will I learn to run parallel programs on HPC systems?
Develop parallel code using OpenMP for multithreading. Implement MPI programs for distributed-memory communication. Write GPU kernels using CUDA for accelerated computation. Test performance and speedup for different architectures. Combine knowledge for full-stack HPC application workflows.
Does the course cover job schedulers like PBS and Slurm?
Learn PBS commands: qsub, qstat, qdel. Learn Slurm commands: sbatch, squeue, scancel. Submit batch and interactive jobs on a demo cluster. Implement job arrays and resource allocation directives. Monitor job status and manage execution efficiently.
Can this course help me pursue a career in HPC or computational science?
Prepare for roles like HPC User / Research Computing Specialist. Gain skills for Parallel Application Developer and Computational Scientist positions. Learn to optimize scientific codes with MPI/OpenMP and GPU acceleration. Develop reproducible workflows and resource-efficient job scripts. Build hands-on portfolio experience for HPC and research projects.
Will I get hands-on practice with HPC systems and supercomputers?
Connect to a demo HPC cluster and explore nodes. Load/unload modules and switch software versions. Write, submit, and monitor batch and interactive jobs. Parallelize computations using OpenMP, MPI, and CUDA. Implement best practices for job scripts and resource allocation.
What are the prerequisites for Data Analytics with R Programming Certification Training Course?
No prior experience is required. Data Analytics with R Programming Certification Training Course is designed for complete beginners who want to build a solid foundation in Data Analytics. It starts from the fundamentals and gradually introduces more advanced concepts, making it accessible for career changers, students, and self-taught learners.
Does Data Analytics with R Programming Certification Training Course offer a certificate upon completion?
Yes, upon successful completion you receive a certificate of completion from Unknown. This credential can be added to your LinkedIn profile and resume, demonstrating verified skills to employers. In competitive job markets, having a recognized certificate in Data Analytics can help differentiate your application and signal your commitment to professional development.
How long does it take to complete Data Analytics with R Programming Certification Training Course?
The course is designed to be completed in a few weeks of part-time study. It is offered as a lifetime course on Edureka, which means you can learn at your own pace and fit it around your schedule. The content is delivered in English and includes a mix of instructional material, practical exercises, and assessments to reinforce your understanding. Most learners find that dedicating a few hours per week allows them to complete the course comfortably.
What are the main strengths and limitations of Data Analytics with R Programming Certification Training Course?
Data Analytics with R Programming Certification Training Course is rated 9.7/10 on our platform. Key strengths include: hands-on emphasis with real datasets across every module; strong coverage of both static and interactive visualization techniques using shiny and plotly; comprehensive capstone project that showcases complete analytics workflow. Some limitations to consider: limited focus on time-series and clustering methods—requires supplemental courses for advanced analytics; assumes basic familiarity with r; absolute beginners may need a rapid primer. Overall, it provides a strong learning experience for anyone looking to build skills in Data Analytics.
How will Data Analytics with R Programming Certification Training Course help my career?
Completing Data Analytics with R Programming Certification Training Course equips you with practical Data Analytics skills that employers actively seek. The course is developed by Unknown, whose name carries weight in the industry. The skills covered are applicable to roles across multiple industries, from technology companies to consulting firms and startups. Whether you are looking to transition into a new role, earn a promotion in your current position, or simply broaden your professional skillset, the knowledge gained from this course provides a tangible competitive advantage in the job market.
Where can I take Data Analytics with R Programming Certification Training Course and how do I access it?
Data Analytics with R Programming Certification Training Course is available on Edureka, one of the leading online learning platforms. You can access the course material from any device with an internet connection — desktop, tablet, or mobile. Once enrolled, you have lifetime access to the course material, so you can revisit lessons and resources whenever you need a refresher. All you need is to create an account on Edureka and enroll in the course to get started.
How does Data Analytics with R Programming Certification Training Course compare to other Data Analytics courses?
Data Analytics with R Programming Certification Training Course is rated 9.7/10 on our platform, placing it among the top-rated data analytics courses. Its standout strengths — hands-on emphasis with real datasets across every module — set it apart from alternatives. What differentiates each course is its teaching approach, depth of coverage, and the credentials of the instructor or institution behind it. We recommend comparing the syllabus, student reviews, and certificate value before deciding.

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