Connect Power BI to different data sources.
School of Data & AIData AnalyticsIntermediate
Power BI for Business Intelligence
Build interactive dashboards and business reports that make performance clear.
Learn how to connect data, clean it with Power Query, build data models, write DAX measures, and design Power BI dashboards that help teams understand performance and make decisions.
Duration
8 weeks - 6-8 hours/week
Project
Connect Power BI to different data sources.
Support
Mentorship and review options available
Overview
A practical Short Course built around a visible project.
Learn to connect, clean, model, measure, visualize, and present business data using Power BI.
Clean and transform data using Power Query.
Build effective data models and table relationships.
Write DAX measures for business reporting.
Create KPI cards, trend charts, comparison visuals, and summary reports.
Use slicers, filters, drill-downs, and report pages effectively.
Design dashboards that are clear, useful, and decision-focused.
Build reports for sales, finance, operations, marketing, and customer analysis.
Present dashboard insights to business users.
Create portfolio-ready Power BI projects.
Course roadmap
What you will work through.
The sequence below is specific to this course. It shows the phases, modules, lessons, and page outlines that move you toward Connect Power BI to different data sources..
1Phase 1 - Business Intelligence FoundationsBuild BI thinking before dashboard building: BI concepts, Power BI ecosystem, BI analyst workflow, metrics, KPIs, and requirements documentation.1 modules5 lessons1–2 weeks
Module 1: Introduction to BI and Power BIUnderstand business intelligence, Power BI components, BI workflow, business metrics, and requirements gathering.5 lessons
Lesson 1: What Is Business Intelligence?Understand business intelligence, how it differs from analytics and reporting, and why organizations need dashboards.85 minarticle6 pages
Welcome and Learning Objectives
Start the course and understand the purpose of business intelligence.
8 min
BI in Plain English
Explain BI in practical language.
16 min
BI vs Reporting vs Data Analytics
Clarify the difference between common data terms.
20 min
Why Businesses Need Dashboards
Explain dashboard value in organizations.
18 min
Common BI Use Cases
Show BI use cases across departments.
18 min
Exercise - BI Use Case Discovery
Students identify BI use cases across business functions.
25 min
Lesson 2: Power BI EcosystemUnderstand the Power BI ecosystem: Desktop, Service, Mobile, Report Server, datasets, reports, dashboards, and workspaces.85 minarticle5 pages
Welcome and Learning Objectives
Introduce the Power BI ecosystem.
8 min
Power BI Components
Explain the major Power BI components.
22 min
Datasets, Reports, Dashboards and Workspaces
Explain common Power BI objects.
22 min
Interface Exploration
Guide students through Power BI interface areas.
18 min
Exercise - Power BI Interface Map
Students identify major components in the Power BI interface.
15 min
Lesson 3: BI Analyst WorkflowMap a BI project workflow from business question to data connection, cleaning, modeling, DAX, dashboard design, publishing, and feedback.85 minarticle5 pages
Welcome and Learning Objectives
Introduce the BI project workflow.
8 min
From Business Question to Dashboard
Explain the BI workflow.
24 min
Requirements Gathering
Explain stakeholder and KPI requirements.
20 min
Feedback and Iteration
Explain dashboard improvement after publishing.
18 min
Exercise - BI Project Workflow Map
Students map a BI project workflow from question to dashboard.
15 min
Lesson 4: Understanding Business MetricsUnderstand KPIs, metrics vs dimensions, leading vs lagging indicators, vanity metrics, actionable metrics, and dashboard-ready KPI design.85 minarticle5 pages
Welcome and Learning Objectives
Introduce metrics and KPI thinking.
8 min
Metrics, KPIs and Dimensions
Explain metric concepts for BI.
22 min
Leading, Lagging, Vanity and Actionable Metrics
Explain better KPI judgment.
22 min
E-Commerce KPI Framework
Show a practical KPI design example.
20 min
Exercise - E-Commerce KPI Design Studio
Students design dashboard KPIs for an e-commerce business.
13 min
Lesson 5: Mini Project 1 - BI Requirements DocumentCreate a BI requirements document for a selected business domain before building any dashboard.90 minarticle2 pages
Project Brief
Explain the project scenario and expected output.
20 min
Review Checklist
Checklist for project quality.
20 min
2Phase 2 - Data Connection and Power QueryConnect to data sources and use Power Query to clean, transform, combine, and prepare model-ready tables.2 modules10 lessons2 weeks
Module 1: Connecting to Data SourcesConnect Power BI to files, databases, web/cloud sources, and choose the right source strategy.4 lessons
Lesson 1: Importing FilesImport Excel files, CSV files, folder imports, and understand data source settings and refresh concepts.55 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
27 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
20 min
Lesson 2: Connecting to DatabasesUnderstand SQL database connection concepts, Import mode, DirectQuery overview, and query folding basics.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
Lesson 3: Connecting to Web and Cloud SourcesConnect to web data, SharePoint/OneDrive concepts, cloud data sources, and refresh considerations.55 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
27 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
20 min
Lesson 4: Data Source StrategyChoose the right data source based on ownership, refresh frequency, reliability, and reporting risks.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
Module 2: Data Cleaning with Power QueryUse Power Query for cleaning, transformation, combination, and reusable preparation pipelines.6 lessons
Lesson 1: Power Query FundamentalsUnderstand Query Editor, applied steps, data preview, data types, and column renaming.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
Lesson 2: Cleaning Messy DataRemove duplicates, handle missing values, trim text, standardize categories, and replace values.65 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
32 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
25 min
Lesson 3: Transforming DataSplit columns, merge columns, extract values, create conditional columns, and custom columns.65 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
32 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
25 min
Lesson 4: Combining DataAppend queries, merge queries, use join types, and apply relationship logic.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 5: Power Query Best PracticesUse step naming, query organization, data type discipline, reusable transformations, and avoid fragile reports.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
Lesson 6: Mini Project 2 - Data Preparation PipelinePrepare messy business data into clean model-ready tables using Power Query.100 minarticle2 pages
Project Brief
Explain the project scenario and expected output.
20 min
Review Checklist
Checklist for project quality.
20 min
3Phase 3 - Data Modeling for BIBuild accurate BI models using facts, dimensions, relationships, star schema, and date tables.1 modules6 lessons1–2 weeks
Module 1: Data Modeling FundamentalsModel business data correctly for reliable reporting and reusable dashboards.6 lessons
Lesson 1: Why Data Modeling MattersUnderstand flat tables vs data models, reporting accuracy, performance, reusability, and business definitions.55 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
27 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
20 min
Lesson 2: Fact and Dimension TablesClassify facts, dimensions, measures, granularity, transaction data, and lookup tables.65 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
32 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
25 min
Lesson 3: RelationshipsBuild one-to-many, many-to-one, manage many-to-many risks, cross-filter direction, active and inactive relationships.65 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
32 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
25 min
Lesson 4: Star SchemaUse star schema with sales fact table, date, product, customer, and region dimensions.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 5: Date TablesCreate and connect date tables for calendar and fiscal reporting and time intelligence preparation.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
Lesson 6: Milestone Project 1 - Sales BI Data ModelBuild a documented Power BI sales data model.100 minarticle2 pages
Project Brief
Explain the project scenario and expected output.
20 min
Review Checklist
Checklist for project quality.
20 min
4Phase 4 - DAX for Business IntelligenceWrite practical DAX measures for KPIs, filtering, ratios, time intelligence, ranking, segmentation, and dynamic reporting.2 modules11 lessons2 weeks
Module 1: DAX FundamentalsBuild practical DAX foundations for business KPI reporting.5 lessons
Lesson 1: Introduction to DAXUnderstand calculated columns vs measures, row context, filter context, and why DAX is different from Excel formulas.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
Lesson 2: Core Aggregation MeasuresUse SUM, COUNT, DISTINCTCOUNT, AVERAGE, MIN, and MAX.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
Lesson 3: CALCULATEUnderstand why CALCULATE matters and how it modifies filter context.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 4: DAX with FiltersUse FILTER, ALL, VALUES, SELECTEDVALUE, and DIVIDE for percentages and ratios.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 5: Business KPI MeasuresCreate practical KPI measures for total revenue, profit, margin, AOV, conversion concepts, and customer count.75 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
37 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
30 min
Module 2: Time Intelligence and Advanced DAXUse time intelligence, growth, ranking, segmentation, dynamic measures, and DAX debugging practices.6 lessons
Lesson 1: Time Intelligence BasicsCreate year-to-date, month-to-date, quarter-to-date, previous period, and period comparison measures.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 2: Growth AnalysisCalculate month-over-month growth, year-over-year growth, percentage change, and interpret trends.65 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
32 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
25 min
Lesson 3: Ranking and SegmentationUse RANKX, Top-N analysis, and customer/product segmentation.65 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
32 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
25 min
Lesson 4: Dynamic MeasuresUse SWITCH, dynamic KPI selection, and parameter-style reporting.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 5: DAX Debugging and Best PracticesOrganize measures, use naming conventions, debug wrong totals, and avoid over-complex DAX.65 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
32 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
25 min
Lesson 6: Milestone Project 2 - Executive KPI Measure LibraryBuild a documented DAX measure library for executive reporting.100 minarticle2 pages
Project Brief
Explain the project scenario and expected output.
20 min
Review Checklist
Checklist for project quality.
20 min
5Phase 5 - Dashboard Design and Data StorytellingDesign decision-focused dashboards and communicate insights through executive, diagnostic, and operational report pages.2 modules10 lessons2 weeks
Module 1: Dashboard Design PrinciplesApply dashboard UX, chart selection, interactivity, readability, and accessibility principles.5 lessons
Lesson 1: Designing for Decision MakersDesign dashboards for audience, decision context, executive vs operational use, and reduced noise.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
Lesson 2: Choosing the Right VisualMatch visuals to business questions using bars, lines, cards, tables, matrices, maps, decomposition tree, and waterfall charts.65 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
32 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
25 min
Lesson 3: Dashboard Layout and UXUse visual hierarchy, spacing, alignment, color discipline, typography, and navigation.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 4: InteractivityUse slicers, filters, drill-through, tooltips, bookmarks, and buttons.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 5: Accessibility and ReadabilityImprove contrast, labels, clutter, executive readability, and mobile readability.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
Module 2: Business Storytelling with DashboardsTurn visuals into insight narratives and build executive, diagnostic, and operational report pages.5 lessons
Lesson 1: From Charts to InsightsWrite insight statements with context, explanation, and recommendation.55 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
27 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
20 min
Lesson 2: Executive Summary PagesBuild executive pages using KPI cards, key trends, alerts, action areas, and management reporting.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 3: Diagnostic Dashboard PagesDesign root-cause analysis, drill-down flow, segmentation, and investigation pages.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 4: Operational Dashboard PagesBuild monitoring workflows, exception reporting, daily/weekly usage, and performance tracking pages.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 5: Project - Sales Performance DashboardBuild a multi-page sales performance dashboard.110 minarticle2 pages
Project Brief
Explain the project scenario and expected output.
20 min
Review Checklist
Checklist for project quality.
20 min
6Phase 6 - Power BI Service, Sharing and GovernancePublish, refresh, share, secure, and govern Power BI reports professionally.1 modules5 lessons1–2 weeks
Module 1: Publishing and CollaborationUse Power BI Service concepts for publishing, refresh, access control, RLS, and governance.5 lessons
Lesson 1: Publishing ReportsUnderstand Power BI Service, workspaces, publishing workflow, and dataset/report relationship.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
Lesson 2: Refresh and Scheduled UpdatesUnderstand manual refresh, scheduled refresh, gateway concepts, and refresh failure risks.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
Lesson 3: Sharing and Access ControlUnderstand apps, sharing reports, permissions, workspace roles, and RLS overview.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
Lesson 4: Row-Level SecurityImplement role-based filtering and test as roles.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 5: Governance BasicsUse certified datasets, report versioning, documentation, naming standards, and data ownership.60 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
30 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
22 min
7Phase 7 - Real-World BI ScenariosBuild BI dashboard pages for sales, finance, marketing, operations, HR, and education domains.1 modules5 lessons1–2 weeks
Module 1: Business Domain DashboardsApply BI skills to common business dashboard scenarios.5 lessons
Lesson 1: Sales Analytics DashboardBuild sales analysis pages for revenue, targets, customers, and products.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 2: Finance DashboardBuild finance reporting pages for revenue, expenses, profit, and budget vs actual.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 3: Marketing DashboardBuild marketing dashboard pages for leads, campaigns, conversion, and CAC concepts.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 4: Operations DashboardBuild operations pages for SLA, throughput, delays, and process bottlenecks.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
Lesson 5: HR or Education DashboardBuild people or education analytics pages for attendance, completion, engagement, and performance.70 minarticle3 pages
Overview and Learning Objectives
Introduce the lesson and clarify expected outcomes.
8 min
Concepts and Business Examples
Explain the concept with practical business examples.
35 min
Practice Activity
Apply the lesson through a guided Power BI exercise.
27 min
8Phase 8 - Capstone, Graduation and PortfolioComplete an end-to-end Power BI BI capstone and package portfolio-ready BI assets.1 modules2 lessons1 week
Module 1: End-to-End Power BI CapstoneStudents complete an industry-based Power BI dashboard project from requirements to presentation.2 lessons
Lesson 1: Final Capstone - End-to-End Power BI Business Intelligence ProjectBuild a professional Power BI BI project for one selected industry.170 minarticle2 pages
Project Brief
Explain the project scenario and expected output.
20 min
Review Checklist
Checklist for project quality.
20 min
Lesson 2: Graduation Requirements and Portfolio OutcomeClarify completion requirements and expected portfolio outputs.45 minarticle1 pages
Requirements and Portfolio Checklist
Summarize graduation requirements and portfolio assets.
45 min
Tools and skills
Build skill with the tools used in the work.
Connect Power BI to different data sources.Clean and transform data using Power Query.Build effective data models and table relationships.Write DAX measures for business reporting.Create KPI cards, trend charts, comparison visuals, and summary reports.Use slicers, filters, drill-downs, and report pages effectively.Design dashboards that are clear, useful, and decision-focused.Build reports for sales, finance, operations, marketing, and customer analysis.Present dashboard insights to business users.Create portfolio-ready Power BI projects.
Projects and exercises
- Connect Power BI to different data sources.
- Structured exercises
- Portfolio practice
Resources included
- Course resources
- Project guidance
- Learners building practical tech skills
- A willingness to practice consistently
Career relevance
Power BI for Business Intelligence supports practical career readiness.
Support options
Choose the level of feedback that matches your pace.
Compare the project, price, and feedback level before choosing the support option that fits your pace.
Self-Paced Only
₦85,000
Upfront Payment
₦85,000due today
- ₦85,000 at enrollment
Pay once or split into fixed installments.
Access starts after your first confirmed payment.
Related Professional Diploma
View Professional DiplomaData Analytics
Become a practical data analyst who can clean, analyze, visualize, and communicate business data using Excel, SQL, Python, Power BI, and real-world analytics projects.
FAQ
Questions about this Short Course.
Short Course answers about scope, projects, support, and next steps.
Yes, but it becomes more powerful when you understand data cleaning, analysis, and business reporting. This course teaches Power BI in a practical, step-by-step way.
Related Short Courses
View all Short CoursesContinue building connected skills.
School of Data & AIData & AIBeginner to Intermediate
Excel for Data Analytics
Turn raw spreadsheets into clean analysis, useful reports, and business-ready insights.
Master the Excel skills used by data analysts to clean, organize, calculate, summarize, visualize, and report business data with confidence.
From₦50,000
6 weeks - 5–8 hours /week
Clean and organize messy spreadsheet data.
Project included
Mentor review available
School of Data & AIData AnalyticsBeginner to Intermediate
SQL for Data Analytics
Query databases, join tables, summarize records, and uncover business insights with SQL.
Learn the SQL skills data analysts use to extract, filter, join, group, and analyze data from relational databases.
From₦65,000
7 weeks - 6-8 hours/week
Understand tables, columns, rows, keys, and relationships.
Project included
Mentor review available
Related Professional Diploma
Data Engineering
School of Data & AIData AnalyticsBeginner to Intermediate
Python for Data Analytics
Clean, explore, analyze, automate, and visualize data with Python.
Learn Python for real analytics work: data cleaning, exploration, transformation, automation, and visual insight generation.
From₦85,000
8 weeks - 6-8 hours/week
Write Python code for data analysis tasks.
Project included
Mentor review available
Short Course enrolment
Start with Power BI for Business Intelligence.
Learn how to create clean, interactive Power BI reports that help teams track performance, understand what is happening, and make better business decisions.