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Solve business questions in Tableau using table calculations, level of detail calculations and data modeling, then build a comprehensive trading dashboard.
Build a foundation across finance: read and analyze financial statements, study capital markets, banking, credit, risk management, wealth planning and ESG principles.
Manipulate, transform, and visualize financial data in Power BI, write DAX time intelligence, source data with SQL, and build a financial statement case study against Excel.
Analyze ESG risks and opportunities: break down environmental, social and governance factors, stakeholder pressures, and assess company ESG performance from public information in a case study.
Build a two-page Power BI sales report: import and transform data in Power Query, model it, write DAX measures, add visuals, and share via the Power BI Service.
Learn how companies raise and deploy capital: capital markets players, funding lifecycles, business valuation methods and multiples, deal structuring, M&A financing, and debt and equity securities.
Build data analysis skills in Excel: work through data analysis fundamentals, Power Query for shaping data, and Power Pivot for modelling.
Manipulate, transform, and visualize data in Tableau, source data from a database with SQL, and build two e-commerce dashboards for a portfolio.
Record financial transactions and prepare multi-year income statements, balance sheets, and cash flow statements while defining key financial statement terms.
Explore types of financial institutions, the banking services each customer group uses, how banks earn returns from their balance sheet and income statement, and banking career paths.
Structure data into Excel tables, analyze it with pivot tables and dynamic array formulas, and visualize insights in charts and dashboards using financial and retail datasets.
Extract data from CSV and Excel files with Power Query, then pivot, unpivot, split, group, and consolidate it, and fix common errors.
Learn the advisor's toolkit: financial planning principles, economics, asset classes and financial markets, portfolio management for retail clients, and private banking.
Query a company database with SQL: retrieve and filter rows, apply numeric, date and text functions, join multiple tables, and build summary reports.
Compare the spectrum of risks banks and financial institutions face, study real failures from the banking industry, and map the stages of an enterprise risk management framework.
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