Business Analytics Training Program

Bridge the gap between data and business decisions. Master Excel, SQL, Python, Power BI, and analytics techniques for roles such as Business Analyst, Data Analyst, and Strategy Consultant.

Duration

6 Months

Validity

1 Year

Mode

Online & Offline
Special batch for working professionals

Placement

100% Job Placement
Guarantee Assurance

Course Overview

The Business Analytics Training Program combines business fundamentals, statistics, data tools, and analytics techniques to prepare you for roles such as Business Analyst, Data Analyst, and Strategy Consultant. You'll learn how to bridge the gap between data and business decisions with Excel, SQL, Python, Power BI, Looker, and real-world case studies.

Course Curriculum

Comprehensive business analytics training from fundamentals to advanced techniques

1. Business Foundations for Analysts (3 Weeks)

  • Business Models & Metrics: Revenue, margin, CAC, LTV, churn, ARPU, cohort concepts across B2B/B2C, SaaS, E-com, Retail, BFSI
  • Problem Framing: Convert open-ended asks into measurable hypotheses and KPIs

Outcome: Speak the language of business; pick the right metric for the right question

2. Excel & Google Sheets for BA (1 Month)

  • Scenario Modelling: Goal Seek, Solver for pricing, discounts, inventory; sensitivity & what-if tables
  • Executive Dashboards: Multi-page KPI packs for CXOs; dynamic narratives using charts & callouts
  • Collaboration: Sheets with protected ranges, comments, approvals for cross-functional workflows

Project: Pricing & Profitability Simulator for a product line

3. SQL/MySQL & Data Modelling (1.5 Months)

  • Analytical SQL: Joins for funnels, window functions for cohorts/retention, CTEs for readability, HAVING for post-aggregation filters
  • Dimensional Modelling: Star schemas (facts/dimensions) to power BI dashboards
  • Performance: Indexes, partitioning, query plans to keep dashboards snappy
  • Tools (with purpose): MySQL Workbench, dbt-style transformations inside SQL, BI connections to Power BI/Looker

Project: End-to-end Sales & Retention mart (SQL models → BI dashboards)

4. Statistics for Business Decisions (1 Month)

  • Descriptive & Inferential Stats: Confidence intervals, hypothesis testing (t/chi-square/ANOVA), effect size
  • A/B Testing & Experiment Design: Power analysis, lift, guardrails; read experiment results responsibly
  • Forecasting: Moving averages, exponential smoothing; intro to ARIMA for demand planning

Project: Marketing campaign A/B test analysis + demand forecast for next quarter

5. Python for Business Analytics (1 Month)

  • pandas for Business Tables: Pipelines from raw DB extracts to clean analyst tables
  • Feature Building: RFM, CLV approximations, seasonality flags; quick scikit-learn models for uplift/propensity
  • Story-First Visuals: Matplotlib/Seaborn with annotations that answer the "so what?"

Project: Churn early-warning score + retention playbook (segment-wise actions)

6. Power BI & Data Storytelling (1 Month)

  • Power BI (Desktop/Service/Mobile): DAX KPIs, row-level security for teams/regions, scheduled refresh, mobile layouts for field ops
  • Looker Studio: Light, shareable, stakeholder-friendly boards with live connectors
  • Narrative Structure: Executive summaries, insights > observations, call-to-action slides

Project: Board-ready Business Health Dashboard with insights page & recommended actions

7. Project Management & Stakeholder Skills (3 Weeks)

  • Agile for Analytics: Sprint goals, acceptance criteria, delivery demos
  • Tools: Jira/Trello/Asana; issue templates; requirements → sign-off loop
  • Communication: Writing concise insight memos; running stakeholder reviews

Project: Full BA delivery, requirements doc → analysis → dashboard → exec memo

Additional Benefits

100% Job Placement Guarantee

Assured placement assistance with our industry network

Case Studies + Industry Projects

Real-world scenarios to build practical expertise

ATS-Friendly Resume Building

Optimize your resume to pass Applicant Tracking Systems

LinkedIn Optimisation

Build a professional profile that attracts recruiters

Mock Interviews

Practice interviews including business case interviews

Business Case Interviews

Specialized training for case-based interviews

Freelancing Support

Guidance for starting your freelancing career

GitHub Portfolio Building

Showcase your analytics projects to employers

Personality Development

Alternate Saturday sessions for soft skills enhancement

Note for Learners

After completing this program, a fresher will have the knowledge of a 1-year experienced professional, while working professionals can confidently switch or upskill into high-demand roles such as Business Analyst, Data Analyst, or Strategy Consultant.

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