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Home› Courses› Business Analytics Course
📋 Strategy + Data Combined 📍 Dilsukhnagar, Hyderabad ✅ Certificate on Completion

Business Analytics Course

Bridge the gap between data analysis and business decision-making. Learn to frame business problems as analytical questions, build KPI frameworks, design forecasting models and communicate data insights that drive real strategic decisions. Taught by an active Business Analyst from an MNC who presents analytics findings to senior leadership weekly.

⏱
DURATION
8 Weeks
🎯
LEVEL
Beginner to Advanced
💻
MODE
Online · Offline · Hybrid
🏆
CERTIFICATE
Industry Certificate

Tools & Technologies You Will Learn

Advanced Excel Power BI SQL Python (Pandas basics) Tableau Google Analytics ChatGPT for business Alteryx concepts JIRA basics PowerPoint for analytics Looker Studio A/B Testing tools
Enroll on WhatsApp → View Curriculum
Business Analytics Course at LearnAI Tech Hub 📋
Free Demo Available
Contact us for current batch fees & EMI options
  • ⏱ Duration: 8 Weeks
  • 🎯 Level: Beginner to Advanced
  • 💻 Online · Offline · Hybrid
  • 🏆 Certificate on completion
  • 💼 100% placement assistance
  • 📁 Real project + internship
  • 🔁 Lifetime access to recordings
  • 📞 Mentor support throughout
Enroll Now on WhatsApp Book Free Demo Class Call: +91 93900 23585

Free career counselling available daily · No pressure, just honest advice

About This Course

Business Analytics is where data skills meet strategic thinking — the combination that drives careers

Raw data analysis tells you what happened. Business Analytics tells you what it means and what to do next. The difference is the ability to connect data insights to business context — to understand which metrics matter, why trends are occurring, what the likely future holds and what decisions leadership should make based on the evidence. This translation skill is rare, valuable and increasingly in demand as companies generate more data than ever before but still struggle to use it effectively.

At LearnAI Tech Hub, this 8-week course is built around the way real business analysts work — starting with business problem framing and stakeholder understanding, moving through data analysis and KPI design, to forecasting, scenario modelling and executive communication. You learn the tools (Excel, Power BI, SQL, Python) as instruments for solving specific business problems — not as ends in themselves. By week 8, you have a portfolio of business analysis cases that demonstrate strategic thinking alongside technical capability.

What makes this course different

🏭
Taught by an active MNC Business Analyst presenting to leadership weekly

Your trainer translates complex data into business strategy for C-suite executives at an MNC. Every framework and case study comes from real boardroom business problems.

🎯
Business thinking first — tools second

Most analytics courses teach tools then hope you figure out the business application. We do the opposite: you understand the business problem first, then learn the exact tools to solve it.

🔮
Forecasting, scenario modelling and what-if analysis

Revenue forecasting, market sizing, competitive scenario modelling — the analytical skills that business leaders actually use to make high-stakes decisions.

🤖
AI for business analytics — from ChatGPT to predictive tools

Using AI to accelerate research, generate insight hypotheses, automate reporting and build predictive recommendations — the way business analysts work in forward-thinking companies in 2026.

Course Curriculum

8 modules · 8 Weeks · Real projects every week

Every module is taught by an active MNC professional using real tools, real datasets and real architectures — not textbook examples.

01
Business Analytics Foundations & Problem Framing
8 topics · Week 1
What business analysts do: the role across industries and company types
The analytics maturity model: descriptive → diagnostic → predictive → prescriptive
Structuring business problems: the McKinsey issue tree and MECE principle
Stakeholder analysis: identifying who needs what information and why
Key business frameworks: Porter's Five Forces, SWOT, Value Chain, BCG Matrix
Business metrics by function: sales, marketing, operations, finance, HR
Project: Business problem statement and analytics approach for a real company scenario
02
Data Wrangling & Advanced Excel for Business
10 topics · Week 2
Excel for business analytics: VLOOKUP, INDEX-MATCH, XLOOKUP, dynamic arrays
Pivot Tables for multi-dimensional business analysis
What-if analysis: scenario manager, data tables, sensitivity analysis
Goal seek and solver: optimisation problems for business decisions
Excel financial functions: NPV, IRR, PMT for investment and pricing analysis
Power Query in Excel: automated data refresh from multiple sources
ChatGPT for Excel: generating formulas, debugging and automating reporting
Project: Complete business performance analysis report in Excel with scenario modelling
03
SQL for Business Intelligence
8 topics · Week 3
SQL for business: extracting insights from sales, customer and product databases
GROUP BY analytics: sales by region, customer segments, product performance
Window functions for business: ranking, running totals, period comparisons
Customer analytics in SQL: acquisition, retention, churn, LTV calculations
Funnel analysis: conversion rates through business stages
Market basket analysis concepts: product affinity and cross-sell identification
Connecting SQL analysis to Excel and Power BI for presentation
Project: Complete customer analytics SQL study — segmentation, retention and LTV
04
KPI Design & Business Dashboard Development
10 topics · Week 4
KPI framework design: leading vs lagging indicators, SMART metrics
Balanced Scorecard: financial, customer, internal process, learning & growth
OKRs (Objectives & Key Results) in business analytics
Power BI for business dashboards: executive scorecards and operational reports
Dashboard design principles: what makes a dashboard useful vs pretty
Gauge, KPI card, sparkline and trend visualisations for business metrics
Drill-through and decomposition tree for root cause analysis in Power BI
Project: Executive KPI dashboard for a multi-function business scenario
05
Market & Competitive Analytics
8 topics · Week 5
Market sizing: TAM, SAM, SOM calculation methodologies
Competitive analysis: benchmarking, market share analysis, pricing comparisons
Customer segmentation: RFM analysis, demographic and behavioural segmentation
Net Promoter Score (NPS) analysis and customer satisfaction analytics
Web analytics: Google Analytics 4 for business insights, acquisition and behaviour
Social listening and brand analytics: sentiment and share of voice
Market research data: survey design, sample sizing and analysis
Project: Market entry analysis — sizing opportunity and competitive landscape for a new product
06
Business Forecasting & Predictive Analytics
10 topics · Week 6
Time series forecasting fundamentals: trend, seasonality, cyclicality
Excel-based forecasting: FORECAST function, moving averages, exponential smoothing
Python forecasting basics: Prophet for business revenue and demand forecasting
Regression for business: predicting sales, pricing elasticity, customer LTV
Scenario modelling: base, optimistic, pessimistic planning frameworks
Monte Carlo simulation concepts for business risk quantification
Forecasting accuracy metrics: MAE, MAPE, RMSE — which to use for business reporting
Project: 12-month revenue forecast with scenario model for a growing business
07
A/B Testing, Experimentation & Decision Analytics
8 topics · Week 7
Hypothesis testing for business: when to trust a difference is real
A/B test design: control, variant, sample size, duration, success metrics
Statistical significance and practical significance — the business relevance distinction
Pricing experiments: testing price points and measuring elasticity
Marketing attribution: multi-touch attribution models for budget allocation
Decision trees and expected value calculations for business decisions
Business case building: ROI, payback period and investment prioritisation
Project: A/B test analysis and marketing attribution model for an e-commerce business
08
Analytics Communication & Career Preparation
8 topics · Week 8
Storytelling with data: narrative structure that drives action not just information
Presenting to executives: what C-suite audiences need and how to structure your story
Slide design for analytics: how to build a McKinsey-style analytics presentation
Handling objections: when business leaders challenge your data or methodology
AI in business analytics: using ChatGPT to accelerate research and reporting
Business analyst interview preparation: case study, estimation and data questions
Portfolio presentation: documenting your case studies for maximum impact
HR placement referral and mock business analyst interviews
Get Full Curriculum on WhatsApp →
Tools & Technologies

You will graduate using industry tools — not toy projects

Every tool in this course is currently used by professionals in live production environments across companies worldwide.

📑
Advanced Excel
📊
Power BI
🗄️
SQL
🐍
Python basics
📈
Tableau
🌐
Google Analytics
🤖
ChatGPT
🔄
Alteryx
📋
JIRA
🎯
PowerPoint
📉
Looker Studio
🧪
A/B Testing
Career Outcomes

Roles you will qualify for after this course

Our placement team directly places students from this course into these roles across our 1,000+ client company network — startups to Fortune MNCs.

📋
Business Analyst
₹5L – ₹16L / year
IT services, product companies, consulting, BFSI, healthcare — every industry with complex data
📊
Strategy Analyst
₹6L – ₹18L / year
Management consulting, corporate strategy teams, Fortune companies, investment firms
📈
Marketing Analyst
₹4.5L – ₹13L / year
E-commerce, digital agencies, FMCG, retail, media companies with marketing budgets
🔮
Demand Planning Analyst
₹5L – ₹14L / year
Retail, FMCG, manufacturing, supply chain, e-commerce logistics companies
💼
Product Analyst
₹5L – ₹16L / year
SaaS companies, tech startups, digital product teams, e-commerce platforms
🏢
Operations Analyst
₹4.5L – ₹13L / year
Manufacturing, logistics, healthcare operations, financial services operations teams
Average Starting Salary — Freshers (Hyderabad)
Based on our placed students · 2024–2025 batch data
₹4.5L – ₹16L per year
Who Is This For

This course is designed for you if…

👨‍💼
MBA graduates and management professionals wanting analytical depth

MBAs who can also work with data — SQL, Power BI, forecasting models — are valued significantly higher than those with only strategic frameworks and no technical capability.

📊
Data analysts wanting business strategy context

Being able to analyse data is only half the value. Understanding how to frame business problems, present to leadership and drive decisions is what takes analysts from technical roles to strategic ones.

💼
Working professionals in sales, marketing, operations or finance

Every function generates data. The professionals who can analyse their own function's data and present strategic recommendations are the ones who get promoted first.

🎓
BBA, BCom, BA and MBA graduates wanting a tech-adjacent career

Business Analytics sits at the intersection of business domain and data skills — making it highly accessible from a non-technical background while still commanding a significant salary premium.

🏢
Entrepreneurs and startup founders

Understanding your business data — unit economics, growth metrics, customer analytics, market forecasting — is what separates businesses that scale from those that stall.

🌏
Professionals targeting consulting or international strategy roles

Business analysts and strategy analysts are in demand in UAE, UK, Singapore and USA — especially those who combine business framework thinking with data and BI tool proficiency.

Prerequisites

Basic Excel proficiency (formulas and basic charts) Any graduation degree No SQL, Python or BI tool experience required Business curiosity and interest in how companies make decisions
FAQs

Questions about Business Analytics Course?

Not finding your answer? WhatsApp us directly — we respond within 30 minutes.

Ask on WhatsApp →
Data Analytics focuses on the technical process of analysing data — cleaning, querying, visualising. Business Analytics focuses on the strategic application — framing business problems, designing KPIs, building forecasting models and communicating insights to business leaders. The best business analysts combine both. This course teaches both with a business-first orientation.
Yes. The course starts with Excel fundamentals in week 1 and builds from there. Students with no prior data or analytics experience have successfully completed this course and been placed as junior business analysts within 3 months.
Business analyst case study interviews involve being given a business problem and asked to structure your analysis approach, identify the right metrics, interpret data and recommend a decision. The course dedicates week 8 to this — with real case study practice using the frameworks and tools from the preceding 7 weeks.
Absolutely. Many of our best-placed business analyst graduates have backgrounds in commerce, arts, management and life sciences. What matters is analytical thinking, communication skill and proficiency in the tools — all of which this course develops from scratch.
ChatGPT and similar AI tools accelerate: market research, generating analysis hypotheses, writing business case documents, summarising large datasets and creating presentation narratives. Business analysts who use AI work 3–4x faster than those who do not. This is integrated throughout the course.
Yes. Our HR team places Business Analytics graduates across IT consulting, BFSI, e-commerce, healthcare, FMCG and management consulting companies. You receive full placement support including ATS resume building, case study interview coaching and direct company referral.
Ready to start?

Enroll in Business Analytics Course today

Book your free demo class — meet your trainer, see the teaching style, ask everything you want. No commitment, no fees.

Enroll on WhatsApp → Call: +91 93900 23585

📍 Dilsukhnagar, Hyderabad · Online across India & Internationally · Mon–Sat 9AM–8PM

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