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📊 Data Track

Data Analysis Internship

Develop analytical pipelines and create reproducible data reports using R-based workflows.

What You'll Learn

  • ▸ Data wrangling and cleaning using R (tidyverse, dplyr, tidyr)
  • ▸ Exploratory data analysis (EDA) and statistical summarization
  • ▸ Data visualization — ggplot2, base R graphics, and report generation
  • ▸ Statistical testing and hypothesis validation
  • ▸ Reproducible analysis with R Markdown and VectorForgeML tools
  • ▸ GitHub-based version control, documentation, and project management

Required Tools

R R language (v4.0+)
IDE RStudio / VS Code
Git Git & GitHub account
Libs tidyverse, ggplot2, R Markdown

Eligibility

  • • Students, graduates, or self-learners
  • • Interest in data analysis and statistics
  • • Basic programming knowledge helpful
  • • Willingness to learn R-based workflows

Duration & Mode

Duration 4–8 Weeks
Mode Online (Remote)
Pace Self-paced

Certification Eligibility

Interns who successfully complete all assigned tasks with acceptable quality will receive a verifiable digital certificate with a unique ID. Exceptional performers may also receive a Letter of Recommendation (LOR).

Ready to Apply?

Apply online to get started with the Data Analysis track.

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