Business Data Analysis Course

Lesson 1 • The Analytics Workflow

Introduces the end-to-end process from problem definition to insight delivery. Provides a repeatable framework used throughout the course.

Lesson 2 • Core Data Types and Structures

Distinguishes structured, semi-structured, and unstructured data. Connects data format awareness to appropriate tool and method selection.

Lesson 3 • The Role of Data in Business

Defines how organizations generate, collect, and use data to drive decisions. Establishes the analyst's position within business workflows.

Lesson 1 • Data Cleaning Techniques

Provides hands-on methods for detecting and correcting errors, duplicates, and outliers. Directly prepares students for reliable analysis.

Lesson 2 • Primary and Secondary Data Sources

Contrasts internally generated data with externally sourced data. Guides source selection based on analytical goals and reliability.

Lesson 3 • Data Quality Dimensions

Defines accuracy, completeness, consistency, and timeliness as quality pillars. Links each dimension to downstream analytical risk.

Lesson 1 • PivotTables and Data Summarization

Demonstrates how to group, filter, and aggregate large datasets dynamically. Connects summarization skills to rapid business insight generation.

Lesson 2 • Scenario and Sensitivity Analysis

Applies what-if tools to model business outcomes under varying assumptions. Supports decision-making by quantifying uncertainty.

Lesson 3 • Spreadsheet Navigation and Setup

Covers workbook structure, cell referencing, and formatting best practices. Establishes efficient habits that support complex model building.

Lesson 1 • Measures of Central Tendency

Explains mean, median, and mode in business contexts with appropriate use cases. Anchors statistical thinking in practical data interpretation.

Lesson 2 • Measures of Variability and Distribution

Covers variance, standard deviation, and distribution shape to characterize data spread. Prepares students for probability and inferential concepts.

Lesson 3 • Exploratory Data Analysis Techniques

Introduces systematic methods for profiling datasets before formal analysis. Builds habits that prevent misinterpretation of results.

Lesson 1 • Building Interactive Dashboards

Guides construction of multi-visual dashboards with filters and drill-down features. Enables stakeholders to explore data independently.

Lesson 2 • Chart Types for Business Analysis

Covers bar, line, scatter, and composition charts with business use cases. Connects chart selection to the analytical question being answered.

Lesson 3 • Principles of Effective Data Visualization

Establishes design rules for clarity, accuracy, and audience alignment in charts. Prevents common visualization errors that distort business messages.

Lesson 1 • Joining Multiple Tables

Covers INNER, LEFT, RIGHT, and FULL joins to combine data across related tables. Unlocks cross-functional analysis from normalized databases.

Lesson 2 • Core SQL Query Syntax

Teaches SELECT, WHERE, ORDER BY, and LIMIT clauses for targeted data retrieval. Forms the foundation for all subsequent SQL operations.

Lesson 3 • Advanced SQL for Business Analysis

Introduces window functions, CTEs, and date functions for complex analytical queries. Prepares students for production-level data extraction tasks.

Lesson 4 • Relational Database Fundamentals

Explains tables, keys, and relationships that define relational database structure. Provides the conceptual model needed to write accurate queries.

Lesson 1 • Multiple Regression for Business

Extends regression to multiple predictors for richer business models. Addresses multicollinearity and variable selection for practical use.

Lesson 2 • Time Series and Business Forecasting

Analyzes trends, seasonality, and cycles in time-ordered business data. Produces short-term forecasts to support planning and budgeting.

Lesson 3 • Hypothesis Testing in Business

Teaches null and alternative hypotheses, p-values, and significance levels for business tests. Enables analysts to validate claims with data rather than assumption.

Lesson 4 • Probability Fundamentals for Analysts

Covers probability rules, conditional probability, and expected value in business scenarios. Provides the statistical foundation for inference and forecasting.

Lesson 1 • Building an Analytics Business Case

Structures ROI arguments and implementation roadmaps for analytical initiatives. Prepares students to secure stakeholder buy-in for data projects.

Lesson 2 • Decision Analysis and Optimization

Applies decision trees and linear programming concepts to resource allocation problems. Supports structured, data-backed strategic choices.

Lesson 3 • A/B Testing and Experimentation

Designs controlled experiments to measure the impact of business changes. Connects experimental results to confident, evidence-based decisions.

Lesson 4 • Customer and Market Segmentation

Applies clustering logic to group customers or markets by behavioral and demographic attributes. Enables targeted strategy development from analytical outputs.