Beginner Level6 Weeks DurationSelf-Paced with Mentor Support

Data Analytics

Extract actionable business insights using SQL, Python, exploratory modeling, and executive BI dashboards

Program Overview

Transform raw corporate data into strategic intelligence. Learn advanced SQL querying, data cleaning with Pandas, statistical hypothesis testing, and building executive dashboards in PowerBI/Tableau.

Who Can Apply

Students from Engineering, Commerce, Economics, or Science wanting analytical career paths
Learners seeking Data Analyst, Business Analyst, or BI Consultant internships

What You Will Master

Complex SQL: window functions, CTEs, self-joins, and subquery optimization
Exploratory data analysis and automated report generation with Pandas
Business metrics: CAC, LTV, Churn, Retention cohorts, and ARR calculation
Designing executive-ready interactive dashboards with actionable KPIs
Communicating analytical findings effectively to non-technical stakeholders
Week-By-Week Structure

Curriculum & Roadmap

Progressive milestones designed to advance you from core foundational concepts to production-grade deployment.

Week 1~15 Hours Estimated

Advanced SQL for Business Intelligence

Write performant multi-table queries, aggregations, and window functions.

Key Topics & Tasks
  • Relational querying & multi-joins
  • Window functions: ROW_NUMBER, RANK, DENSE_RANK
  • Common Table Expressions (CTEs)
  • Query execution plans and indexes
Week 2~15 Hours Estimated

Python for Data Analysis & Cleaning

Clean messy datasets, handle missing timestamps, and aggregate metrics.

Key Topics & Tasks
  • Data ingestion from CSV, JSON, and SQL
  • Handling duplicates, nulls, and schema mismatches
  • Datetime transformations and time-series aggregation
  • Vectorized calculations with Pandas
Week 3~16 Hours Estimated

Statistical Analysis & Business Metrics

Understand business metrics and validate findings with statistics.

Key Topics & Tasks
  • Descriptive vs Inferential statistics
  • Hypothesis testing and A/B test analysis
  • Cohort analysis and retention curves
  • Calculating unit economics (LTV, CAC, Payback)
Week 4~18 Hours Estimated

Capstone Analytics Project — Data Pipeline

Ingest and model raw e-commerce or SaaS telemetry data into a reporting schema.

Key Topics & Tasks
  • Star schema and snowflake dimensional modeling
  • Building aggregated analytical views in PostgreSQL
  • Automating data hygiene checks
  • Documenting data dictionaries
Week 5~16 Hours Estimated

Executive BI Dashboard Construction

Design visual storyboards with drill-down filters and KPI cards.

Key Topics & Tasks
  • Visual hierarchy in dashboard design
  • Interactive cross-filtering and parameters
  • Storytelling with data for leadership
  • Exporting executive summaries
Week 6~12 Hours Estimated

Final Report Defense & Certification

Present analytical insights and complete review by senior analytics mentors.

Key Topics & Tasks
  • Presentation of findings and business recommendations
  • Analytical review by mentor board
  • Submission evaluation
  • Official certificate issuance
Portfolio Outcomes

What You Will Build

01

E-Commerce Customer Retention & Cohort Analysis

A comprehensive study of user repurchase rates, churn timing, and customer lifetime value using SQL and Python.

SQLPandasMatplotlibPower BI
02

SaaS Subscription Revenue & Funnel Dashboard

An executive dashboard tracking Monthly Recurring Revenue (MRR), net expansion, conversion funnels, and churn cohorts.

PostgreSQLPythonPower BI / Tableau
03

Healthcare Clinic Operational Efficiency Audit

Analysis of patient wait times, doctor scheduling utilization, and resource bottlenecks with actionable staffing recommendations.

Advanced SQLPandasStatistics

Performance Evaluation & Standards

Submissions are systematically checked by engineering reviewers. You receive written feedback and numerical rubric scores covering modularity, test quality, Git conventions, and deployment integrity.

Program Enrollment
[PROGRAM FEE]

Configurable fee covering curriculum, project reviews, and credential verification.

What's Included
Full 6-week progressive roadmap
3 industry-oriented practical projects
GitHub repository code review & scoring
Cryptographically verifiable certificate
Resume & LinkedIn portfolio framing guidance

Refund Policy: See our transparent terms on our Refund & Cancellation page.

Eligibility: Students & freshers with relevant domain interest.

Have Questions?

Reach out to our admissions team at birlasolutions.in@gmail.com.

Birla Solutions — Industry-Oriented Internships & Career Development