Business Analytics & Reporting
An advanced, job-oriented course in business analytics and reporting. You learn business intelligence fundamentals, how to turn a vague request into a clear business question, gather requirements and write business documents, and build KPI frameworks for data-driven decisions. You analyze data with Excel and SQL, check data accuracy and interpret results without overclaiming, analyze performance gaps, trends and operations, and build sales and financial reports. You build interactive Looker Studio dashboards, write executive reports, communicate with stakeholders and present recommendations to management. You use AI tools for analysis, report drafting and workflow automation while verifying every output and protecting confidential data. You finish with four portfolio projects, an end-to-end capstone, interview preparation and client-style assignments. All business data is simulated.
- Duration: 12 weeks
- Modules: 12
- Fee: Rs 14,999 (about Rs 2,500 a month on EMI)
- Field: Data & Analytics
Roles this track prepares you for
- Business Analyst
- Management Consultant
- Operations Manager
- Business Intelligence Analyst
- Reporting Analyst
- MIS Executive
- Operations Analyst
- Strategy Analyst
- Performance Analyst
- Data Analyst
Curriculum
- Business Analytics Foundations, BI Concepts and Lab Readiness - Learn what business analytics and business intelligence are, the four types of analytics, how an analyst works, and set up the lab and the privacy and AI rules that apply from day one.
- What business analytics is and the decisions it supports
- Business intelligence fundamentals, from raw data to decision
- Descriptive, diagnostic, predictive and prescriptive analytics
- The analyst's daily workflow and the three career paths
- Set up your lab and take the tool tour
- Privacy, confidentiality and the AI rule
- Business Problem-Solving, Requirements Gathering and Documentation - Turn a vague request into a clear business question, use issue trees and hypotheses, interview stakeholders, and write the requirements document, report specification, data dictionary and assumptions log.
- Turning a vague request into a clear business question
- Problem-solving frameworks, issue trees and hypotheses
- Stakeholder interviews and requirements gathering
- Business requirements document and report specification
- Metric definitions, data dictionary and assumptions log
- Scoping, prioritizing and handling change requests
- KPI Frameworks and Data-Driven Decision-Making - Design good KPIs, link them to business goals with KPI trees, set baselines, targets and thresholds, choose KPIs for each function, and make decisions from evidence while spotting bias.
- What makes a good KPI, leading and lagging indicators
- KPI trees and linking KPIs to business goals
- Baselines, targets, thresholds and benchmarks
- Choosing KPIs for sales, finance, operations and customer service
- Making decisions with data: evidence, bias and trade-offs
- Building a KPI framework and scorecard
- Excel for Business Analytics - Prepare and analyze business data in Excel with tables, lookups, conditional formulas, PivotTables, Power Query and what-if analysis.
- Business-ready Excel: tables, structure and named ranges
- Lookup, logical and text formulas for business data
- SUMIFS, COUNTIFS and conditional analysis
- PivotTables, slicers and PivotCharts for business questions
- Power Query basics for repeatable data preparation
- What-if analysis, scenarios and sensitivity
- SQL Fundamentals for Business Data - Read a business database schema and write SQL to answer business questions with filters, aggregation, joins, CASE logic, subqueries and KPI queries, checking every result. This module includes portfolio project 1.
- Relational data, tables, keys and reading a business schema
- SELECT, WHERE, ORDER BY and filtering
- Aggregation with GROUP BY, HAVING and date grouping
- JOINs across customers, orders and products
- CASE, subqueries and common table expressions for business logic
- KPI queries, running totals and checking SQL results
- Data Accuracy, Cleaning and Interpretation - Check data accuracy and completeness, clean messy business data in Excel and SQL, spot outliers and duplicates, read tables and charts correctly and avoid common interpretation mistakes.
- Accuracy, completeness and reconciliation
- Cleaning data in Excel and SQL without changing the original
- Outliers, duplicates and mixed units
- Reading tables, charts and ratios without being misled
- Correlation is not cause: reading a link without overclaiming
- Documenting your checks and writing an interpretation note
- Business Performance, Trend and Operational Analytics - Measure performance against targets, analyze trends and seasonality, find performance gaps and root causes, analyze operations such as cycle time, SLA, inventory and delivery, and turn findings into actions. This module includes portfolio project 2.
- Actual versus target: variance, variance % and status
- Trend, seasonality and growth: is it growth or just the season?
- Performance gaps and root causes: why were deliveries late?
- Throughput, cycle time and SLA: how long do patients really wait?
- Inventory, delivery and capacity: will stock and trucks last?
- From findings to actions: a gap analysis you can act on
- Sales and Financial Reporting - Build accurate sales, customer, product and region reports, learn financial reporting basics such as P&L, margin and cost analysis, budget versus actual, cash flow and receivables, and assemble a repeatable monthly pack.
- Sales reporting: revenue, orders, conversion and average order value
- Customer, product and region analysis: who matters and what pays
- Financial reporting basics: P&L, margin and cost per box
- Budget versus actual: variance reporting that asks the right questions
- Cash flow, receivables and working capital: why is the bank balance falling?
- Building the monthly sales and finance pack
- Looker Studio Dashboards and Visualization Best Practices - Connect data to Looker Studio, build charts, scorecards and filters, use calculated fields and blended data, follow visualization best practices, build interactive KPI dashboards and share them with the right access. This module includes portfolio project 3.
- Looker Studio setup, data sources and connecting Google Sheets
- Charts, scorecards, tables and filters
- Calculated fields, blended data and date ranges
- Visualization best practices and dashboard layout
- Interactive dashboards, KPI scorecards and drill-down
- Sharing, access control and scheduled delivery
- Executive Reporting, Stakeholder Communication and Recommendations - Learn what leaders need to see, tell a story with data, write executive summaries, present to management, handle questions and pushback, and measure whether recommendations worked.
- Executive reporting: what leaders need to see
- Storytelling with data: insight, evidence, recommendation
- Writing a one-page executive summary and management note
- Presenting to management: slides and live walkthrough
- Handling questions, pushback and difficult stakeholders
- Measuring outcomes and following up on recommendations
- AI-Assisted Analytics, Report Automation and Workflow Automation - Use AI to explore data, discover insights and draft reports while verifying every output, automate recurring reports and data refreshes, and follow responsible AI and privacy rules.
- AI for data exploration and insight discovery
- AI for report drafting and executive summaries
- Prompting AI for analysis, with verification
- Automating recurring reports with scheduled workflows
- Automating data refresh and alerts
- Responsible AI use, privacy and an AI use log
- Capstone, Portfolio, Interview Preparation and Freelance Client Assignments - Deliver one end-to-end business analytics project from requirements to a presented recommendation, then prepare your portfolio, interview answers and a client-style assignment for Business Analyst, Management Consultant and Operations Manager paths. This module includes portfolio project 4.
- Capstone brief, data and plan
- Capstone analysis in SQL and Excel
- Capstone dashboard and executive report
- Portfolio case study and honest resume points
- Interview preparation for three analytics paths
- Freelance client assignments: scope, deliver and hand over
Frequently asked questions
How long is the Business Analytics & Reporting course?
It runs for 12 weeks, with 12 modules. It is self-paced online learning from EasySkill Career Academy, Surat.
How much does the Business Analytics & Reporting course cost?
The fee is Rs 14,999, or about Rs 2,500 a month on EMI.
What will I build in Business Analytics & Reporting?
Every module ends in a graded practical task that AI checks in about 30 seconds, so you finish with a portfolio you can show to employers or clients.
Which roles does Business Analytics & Reporting prepare me for?
It prepares you to apply for roles such as Business Analyst, Management Consultant, Operations Manager, Business Intelligence Analyst, Reporting Analyst. It does not guarantee a job or income.
Can I learn online, or do I have to visit a centre?
You can learn fully online. EasySkill also has centres in Adajan, Vesu and Bhestan, Surat, if you prefer to visit.
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