Finance & Business
Analytics
Build strong analytical and financial decision-making skills.
Structured learning journey.
Financial Literacy Fundamentals
This module introduces learners to the core concepts of financial literacy that form the foundation of finance, accounting, and business analysis careers. Learners will explore the differences between personal and business finance, understand the purpose and structure of key financial statements, calculate and interpret important financial ratios and metrics, and learn the fundamentals of the time value of money. By the end of the module, learners will be able to read basic financial information and make informed financial decisions in both personal and business contexts.
Key Terminology
Excel for Financial Analysis
This module introduces learners to Microsoft Excel as a powerful tool for financial analysis and business decision-making. Learners will explore essential Excel functions such as VLOOKUP, INDEX/MATCH, and SUMIF; use pivot tables to summarize and analyze large datasets; apply financial formulas including PMT, NPV, and IRR; and implement data validation and error-checking techniques. By the end of the module, learners will be able to use Excel to organize financial data, perform calculations, and generate valuable business insights.
Key Terminology
Advanced Excel Techniques
This module introduces learners to advanced Excel tools used by financial analysts, accountants, and business professionals to automate processes, transform data, perform forecasting, and build financial models. Learners will explore Power Query for data transformation, macros and basic VBA for automation, scenario analysis and What-If tools for decision-making, and financial modeling templates used in budgeting, forecasting, and valuation. By the end of the module, learners will be able to use Excel more efficiently and create analytical models that support strategic business decisions.
Key Terminology
Power BI Fundamentals
This module introduces learners to Microsoft Power BI, one of the world's leading business intelligence and data visualization platforms. Learners will explore Power BI Desktop, connect to various data sources, build data models and relationships, and create basic DAX calculations using calculated columns and measures. By the end of the module, learners will understand how Power BI transforms raw data into interactive reports and dashboards that support business decision-making.
Key Terminology
Building Interactive Dashboards
This module teaches learners how to design, build, and publish professional interactive dashboards using Power BI. Learners will explore dashboard design principles, create effective visualizations such as charts, graphs, and maps, implement filters, slicers, and drill-through functionality, and publish reports to Power BI Service for sharing and collaboration. By the end of the module, learners will be able to create user-friendly dashboards that transform complex data into actionable business insights.
Key Terminology
Business KPIs & Metrics
This module introduces learners to Key Performance Indicators (KPIs) and the metrics organizations use to measure success. Learners will explore how KPIs align with business objectives, analyze sales metrics such as conversion rate, Customer Acquisition Cost (CAC), and Customer Lifetime Value (LTV), examine operational metrics related to efficiency and productivity, and evaluate financial metrics including ROI, EBITDA, and profit margin. By the end of the module, learners will understand how organizations use performance metrics to monitor results, improve operations, and support strategic decision-making.
Key Terminology
AI-Assisted Forecasting
This module introduces learners to AI-assisted forecasting and predictive analytics. Learners will explore how historical data can be used to predict future outcomes, perform trend analysis and time series forecasting, use Excel's forecasting tools, and examine AI-powered forecasting capabilities available in modern business intelligence platforms such as Power BI and Tableau. By the end of the module, learners will understand how organizations use forecasting to support planning, budgeting, inventory management, and strategic decision-making.
Key Terminology
Financial Reporting & Analysis
This module introduces learners to financial reporting and analysis processes used by organizations to monitor performance and support decision-making. Learners will explore monthly and quarterly reporting cycles, perform variance analysis by comparing budgeted and actual results, apply management reporting best practices, and use data storytelling techniques to communicate financial insights effectively. By the end of the module, learners will understand how financial reports are created, analyzed, and presented to stakeholders.
Key Terminology
Budgeting & Cost Management
This module introduces learners to budgeting and cost management practices used by organizations to plan resources, control spending, and achieve financial goals. Learners will explore budget preparation and planning processes, compare zero-based and incremental budgeting approaches, examine cost allocation methods, and learn techniques for tracking and controlling expenses. By the end of this module, learners will understand how effective budgeting supports decision-making, operational efficiency, and financial sustainability.
Key Terminology
Business Intelligence Tools
This module introduces learners to popular Business Intelligence (BI) tools used to transform data into actionable insights. Learners will explore Tableau fundamentals, Google Looker Studio (formerly Data Studio), compare major BI platforms, and learn how to select the most appropriate tool based on organizational needs. By the end of this module, learners will understand the strengths, limitations, and practical applications of leading BI solutions used in modern data analytics environments.
Key Terminology
Data Visualization Best Practices
This module introduces learners to the principles of effective data visualization. Learners will explore how to select appropriate charts for different types of data, apply color theory and accessibility standards, avoid misleading visualizations, and understand the influential design principles developed by Edward Tufte. By the end of this module, learners will be able to create clear, accurate, and accessible visualizations that communicate insights effectively and support informed decision-making.
Key Terminology
SQL for Business Analysts
This module introduces learners to Structured Query Language (SQL), one of the most important skills for business analysts working with data. Learners will explore database fundamentals, learn how to write SELECT queries, filter and sort data, perform aggregations, and combine information from multiple tables using joins and subqueries. By the end of this module, learners will be able to retrieve, analyze, and manipulate business data efficiently using SQL.
Key Terminology
Process Improvement & Efficiency
This module introduces learners to process improvement techniques used to increase efficiency, reduce waste, and improve organizational performance. Learners will explore value stream mapping, bottleneck identification, process automation opportunities, and continuous improvement methodologies such as Lean, Kaizen, Six Sigma, and PDCA. By the end of this module, learners will be able to analyze business processes, identify inefficiencies, and recommend improvements that enhance productivity and operational effectiveness.
Key Terminology
Financial Planning & Analysis (FP&A)
This module introduces learners to the core functions of Financial Planning and Analysis (FP&A), a critical discipline that helps organizations plan for the future, evaluate financial performance, and support strategic decision-making. Learners will explore rolling forecasts, sensitivity analysis, capital budgeting decisions, and the role of FP&A in strategic planning. By the end of this module, learners will understand how FP&A professionals transform financial data into actionable insights that guide business growth and long-term success.
Key Terminology
Analytics Career Development
This module prepares learners for careers in business analytics, business intelligence, and data analysis. Learners will explore how to build a professional portfolio of dashboards and analytics projects, pursue industry-recognized certifications, develop effective resumes, prepare for interviews, and explore freelance opportunities in analytics. By the end of this module, learners will understand how to showcase their technical skills, market themselves effectively, and pursue career opportunities in the growing analytics industry.
Key Terminology
Professional Certification
Complete 15 modules to unlock your verified certificate.