Business Analytics

Business analytics uses data to solve real-world problems and drive informed decisions. This beginner-level league equips students with essential skills in interpreting data and deriving actionable insights. Understand how to leverage analytics for strategic business advantage and career growth.

What you will learn

By completing this league, you will be able to:

• Define and explain the four types of business analytics: descriptive, diagnostic, predictive, and prescriptive.
• Identify diverse data sources and effectively collect, validate, and manage business data.
• Create compelling visualizations using appropriate chart types to reveal trends and patterns.
• Develop and track relevant Key Performance Indicators (KPIs) to measure business performance.
• Apply descriptive and diagnostic analytics techniques to analyze past performance and uncover root causes.
• Understand basic predictive analytics concepts and apply them to real-world business scenarios.

What this league covers

ModuleWhat it coversFoundations of Business AnalyticsUnderstanding business analytics, the role of data in decisions, types of analytics, key terminology, the analytics lifecycle, and ethical considerations.Understanding Business DataSources, types, and collection methods for business data, data integrity, handling missing data, data formats, and validation techniques.Data Exploration and Visualization BasicsExploring data, basic summarization, identifying trends, choosing chart types, understanding distributions, spotting outliers, and effective visualization principles.Key Performance Indicators (KPIs) and MetricsDefining and differentiating KPIs and metrics, creating SMART KPIs, common business KPIs, setting targets, tracking performance, and communicating results.Descriptive Analytics in ActionAnalyzing past performance using aggregate functions, understanding customer behavior, reporting trends, creating dashboards, and identifying anomalies.Diagnostic Analytics: Uncovering the 'Why'Asking why questions, comparing data segments, drilling down, identifying correlations, root cause analysis, and analyzing campaign effectiveness.Introduction to Predictive AnalyticsForecasting future outcomes, identifying influencing factors, basic forecasting methods, understanding prediction accuracy, and predicting churn or demand.Applying Business Analytics to Real-World ScenariosCase studies in customer segmentation, marketing spend optimization, operational efficiency, customer experience, and communicating findings.

Students are equipped to apply foundational business analytics to workplace challenges.

A look inside