Business Analytics · Beginner

Business Analytics

Use data to understand business performance and recommend decisions.

  • Excel
  • SQL
  • Power BI
  • Business metrics
  • Requirements
  • Data storytelling
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About this course

Use data to understand business performance and recommend decisions. This course combines analytics tools with business thinking, requirements and stakeholder communication.

Who this is for

  • Graduates from any background, including commerce and management
  • Finance, sales, marketing and operations professionals
  • Aspiring business analysts

What you will be able to do

  • Turn business problems into clear analytical questions
  • Analyse data with Excel and SQL
  • Build Power BI dashboards for decision makers
  • Write requirements and user stories
  • Present recommendations with confidence

Prerequisites: Any graduate background.

8-week curriculum

8
Learning units
40
Topics covered
2
Projects
6
Tools
  1. Week 1

    Business Analytics Foundations

    • The business analyst role
    • Business models and KPIs
    • Framing problems
    • Descriptive, diagnostic, predictive and prescriptive analytics
    • Finance, sales and marketing metrics

    Assignment

    Define KPIs for a sample business.

  2. Week 2

    Excel for Business Analysis

    • PivotTables and Power Query
    • XLOOKUP and scenario analysis
    • Forecasting basics
    • Financial analysis
    • Dashboards in Excel

    Assignment

    Build a profit analysis with scenarios.

  3. Week 3

    SQL for Business Questions

    • Filtering and aggregation
    • Joins
    • Window functions
    • Customer and revenue analysis
    • Data quality checks

    Assignment

    Answer business questions from a sales database.

  4. Week 4

    Power BI for Decision Makers

    • Data modelling
    • DAX measures
    • Dashboard design
    • Drill-through and filters
    • Publishing

    Assignment

    Build a management performance dashboard.

  5. Week 5

    Requirements and Process Analysis

    • Stakeholder analysis
    • BRD, FRD and user stories
    • Process mapping with BPMN
    • Gap analysis
    • Agile and Jira for analysts

    Assignment

    Write requirements for a process improvement.

  6. Week 6

    Statistics and Experimentation

    • Descriptive statistics
    • Correlation and regression basics
    • A/B testing
    • Customer segmentation
    • Forecasting with Excel and Python basics

    Assignment

    Analyse an experiment and make a recommendation.

  7. Week 7

    AI and Data Storytelling

    • Copilot and ChatGPT for analysts
    • Checking AI output
    • Structuring recommendations
    • Presenting to leadership
    • Data privacy basics

    Assignment

    Present a recommendation using a clear story.

  8. Week 8

    Capstone and Interview Preparation

    • Business case capstone
    • Case interview practice
    • SQL and Excel practice
    • Portfolio
    • Resume review

    Assignment

    Present your case and complete a mock interview.

Keep the full curriculum with you

Verify your email and download this course as a PDF.

Projects you will build

Business Performance Review

A management review of a sample company's performance.

  • KPIs and SQL analysis
  • Power BI dashboard
  • Leadership presentation

Process Improvement Case

Find and document an improvement to a business process.

  • Process maps
  • Business requirements and user stories
  • Cost and benefit estimate

These are training projects. Please describe them honestly as training work on your resume and in interviews.

Tools and technologies

  • Excel
  • SQL
  • Power BI
  • Jira
  • BPMN
  • Copilot

Career support

  • Resume tailored to your target role
  • LinkedIn, Naukri and Indeed profile guidance
  • Technical and HR mock interviews, with feedback
  • Help explaining your projects clearly

MYP does not guarantee a job or interviews.

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