Data Analysis
Analyze business data to identify trends, patterns and opportunities.
Organizations generate enormous amounts of data across sales, finance, marketing, operations, customers and products. Business Analytics helps teams understand that data and use it to make better decisions. Our programs combine analytical thinking, statistics, SQL, spreadsheets, business intelligence, data visualization, and AI to help learners solve practical business problems.
Analyze business data to identify trends, patterns and opportunities.
Build dashboards and reports that help teams understand performance.
Communicate complex information through clear and meaningful visualizations.
Use data and analytical models to support business decisions.
Seven routes through the category, each built for a different tool set and a different depth of analysis.
For beginners who want to understand analytics from a business perspective.
Analytics FundamentalsBusiness KPIsStatisticsExcelData InterpretationExplore Path 02Build strong analytical skills using spreadsheets and business data.
Advanced ExcelFormulasPivot TablesData CleaningDashboardsWhat-If AnalysisExplore Path 03Learn how to query and analyze data stored in business databases.
SQLJoinsAggregationsSubqueriesData AnalysisBusiness QueriesExplore Path 04Turn business data into interactive dashboards and decision-making tools.
Power BIData ModelingDAXDashboardsReportingBusiness IntelligenceExplore Path 05Create compelling visual stories from business data.
TableauVisualizationDashboardsData StorytellingBusiness InsightsExplore Path 06Move beyond historical reporting into forecasting and predictive insights.
ForecastingRegressionPredictive ModelsScenario AnalysisDecision AnalyticsExplore Path 07Use AI to accelerate analysis, reporting and business decision-making.
Generative AIAI AnalyticsNatural Language QueriesAutomated InsightsBusiness IntelligenceExplore PathA representative selection across the category — from first principles to forecasting, business intelligence and AI.
KPIs, statistics and analytical thinking, framed around business questions.
Analytics + BusinessPivot tables, models and what-if analysis on real business data.
Excel + AnalysisQuery, join and aggregate the databases your business already runs on.
SQL + DataData models, DAX and dashboards leadership actually opens.
BI + DashboardsVisual analysis and data storytelling that changes minds.
VisualizationThe statistics behind confident recommendations, not just charts.
Statistics + DecisionsForecasting, regression and scenario analysis for planning ahead.
Forecasting + PredictionNatural-language querying, automated insights and AI-assisted reporting.
AI + AnalyticsLearn how to track and interpret the metrics that matter to an organization.
Use evidence and analysis instead of relying only on assumptions.
Identify trends, customer behaviors, inefficiencies and growth opportunities.
Develop analytical capabilities that can be applied across finance, marketing, operations, sales, HR and strategy.
Every module runs on a practical business scenario, not an abstract dataset.
Organised by role — business data through SQL and Excel to a data model, a dashboard, an insight and a decision.
A realistic progression, from first dashboard to analytics leadership.
AI is changing how organizations explore data, generate reports, identify patterns and make decisions.
Ask business questions in plain language and explore data faster.
Use AI to identify trends, anomalies and important changes.
Accelerate the creation of summaries, reports and business insights.
Combine historical data with predictive techniques to anticipate future outcomes.
Create analytics experiences that help decision-makers focus on what matters.
Analyze sales data to identify revenue trends, top products and underperforming regions.
Excel + SQL + Power BIUnderstand customer segments, behavior and retention patterns.
SQL + Visualization + Customer KPIsAnalyze campaigns, channels, conversions and marketing ROI.
Power BI + Marketing Data + KPIsIdentify operational inefficiencies and analyze inventory and delivery performance.
Data Analysis + KPIs + DashboardAnalyze revenue, expenses, profitability and financial trends.
Excel + Power BI + Financial AnalyticsUse historical data to forecast future sales, demand or business performance.
Statistics + Forecasting + VisualizationBuild practical analytical skills and prepare for business and technology careers.
Use data to make stronger decisions within your existing role.
Develop the technical and business skills required for analytics careers.
Strengthen business understanding and decision-making capabilities.
Build a structured pathway into Business Analytics and BI roles.
Develop data-driven capabilities across business teams.
Equip teams with the analytical skills they need to understand performance, identify opportunities and make better business decisions.
Partner with TEVVO to help students develop practical analytical skills that connect business knowledge with modern data technologies.
The eight stages every analysis runs through — the question comes first, and the decision is the deliverable.
Define the business question and desired outcome.
Identify and gather the relevant data.
Clean, transform and organize the data.
Identify patterns, trends and relationships.
Create dashboards and visual stories.
Translate findings into business insights.
Develop data-driven recommendations.
Turn insights into business action.
What distinguishes an analyst is the ability to connect analysis to an outcome — so every project ends in a recommendation, not just a chart.
Each portfolio project demonstrates the path from business problem to business decision:
Learn to analyze performance, uncover opportunities and turn data into decisions that drive business growth.