A high-impact 4-week internship designed to transform you from a beginner to a data professional. Learn SQL, R, and Power BI while building industry-standard projects.
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An actionable, industry-aligned roadmap engineered for career transformation.
Compressed learning cycle for maximum retention and skill acquisition.
Go beyond theory with live coding sessions and real-world datasets.
Build a professional portfolio that stands out to top-tier recruiters.
Industry-recognized credentials to validate your Core expertise.
Day 1: Intro to Data Analytics
Day 2: Roles, Career Path, Tools, and Workflow
Day 3: Excel for Data Analysis
Day 4: Sorting, Filtering, Formulas, and Functions
Day 5: Charts, PivotTables, Dashboards
Day 6: Dynamic Visual Insights and Layout Design
Day 7: Case Study - HR Attrition Dashboard
Day 8: Employee Analysis with Excel Pivot Dashboard
Timeline
Week 1: Build strong foundations in data analytics and Excel dashboards.
Day 9: SQL for Analysis (CRUD, Joins, Aggregates)
Day 10: SELECT, WHERE, GROUP BY, JOIN, Subqueries
Day 11: R Programming Basics + Dataframes with dplyr
Day 12: Variables, Vectors, Data Frames, Filtering, Summaries
Day 13: Data Cleaning in R
Day 14: Handling Missing Data, Outliers, String Cleaning
Timeline
Clean and preprocess messy datasets using R scripts and SQL joins.
Day 15: Data Visualization using ggplot2 and plotly
Day 16: Bar, Line, Scatter, Histograms, Boxplots, Heatmaps
Day 17: Dashboard Building (Power BI / Tableau)
Day 18: R Script Integration in Power BI, Visuals Layout
Day 19: Project — Sales/Marketing Visual Report
Day 20: Using SQL + R + Power BI for Insight Generation
Timeline
Generate a Sales/Marketing visual report utilizing a combined SQL-R-Power BI pipeline.
Day 21: ETL Overview (Theory + R Pipeline Demo)
Day 22: Extract, Clean, Transform, and Visualize with R
Day 23: Key Statistical Methods for Analysts
Day 24: Descriptive Stats, Correlation, Hypothesis Testing
Day 25: Capstone Project - Multi-layered Dashboard
Day 26: Choose Dataset (Retail/Finance/Healthcare) + Present Findings
Day 27-28: Resume, Portfolio, LinkedIn, Interview Prep
Day 29-30: Final Portfolio + GitHub Repo + Job-readiness Session
Timeline
Deploy a multi-layered Capstone Project on GitHub and optimize your LinkedIn profile for recruiters.
Gain hands-on proficiency in the tools used by top-tier data science teams worldwide.
Real challenges. Real solutions. Your portfolio will feature these production-grade applications.
Analyze historical price movements and trends using statistical methods in R.
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Extract insights from customer behavior and sales data to optimize business strategies.
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Analyze ride-sharing patterns and peak demand hours using spatial visualization techniques.
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Create a multi-dimensional dashboard correlating workplace environment with employee wellbeing.
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