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Read and interpret financial statements, build operational models, evaluate company performance, and apply corporate and business strategy frameworks to support business decisions.
Build DAX measures and calculated columns: apply scalar and table functions, manipulate row and filter context on a data model, and analyze trends with time intelligence.
Explore the wealth management and financial planning industry: its current state and direction, the main advisor career paths, the skills and traits of top advisors, and recruiting.
Learn to read real company annual reports: navigate MD&A, risk factors and business segments, interpret deferred taxes and goodwill, and mine the notes to the financial statements.
Map the capital markets industry: primary and secondary markets, sell-side origination and sales & trading, buy-side traditional and hedge fund roles, and their career paths.
Learn how credit is created and assess borrowers: compare loan types and interest, build amortization schedules, and apply the 5 Cs framework with key financial ratios.
Build automated financial statements in Power BI: create a SQL view, snowflake data model, DAX staging measures, and Excel cube-formula income statement, balance sheet and cash flow.
Build business intelligence dashboards in Excel with Power Pivot: relate multiple tables into a data model, write DAX measures and time intelligence, and assemble pivot charts, slicers and KPIs.
Learn the holistic lifecycle of a client's financial needs: what a financial plan is and why it matters, establishing the working relationship, and running the planning process.
Learn how economic releases and indicators such as GDP, CPI, PMI and building permits move markets, and how the Fed, ECB, Bank of England and Bank of Japan set policy.
Build interactive Tableau dashboards: import and combine tables, write basic and table calculations, and create visuals with slicers and timelines in Tableau Public.
Learn Python for data science in finance: prepare and manipulate data, run regression and classification models, and optimize a portfolio in a case study.
Work through 10 business scenarios with Tableau table calculations, applying best practices, calculation filters, conditional formulas, parameters and formatting to present advanced metrics clearly.
Build an end-to-end valuation workflow in Excel: 3-statement models, DCF analysis, comparable company analysis, and investor-ready pitchbooks in PowerPoint.
Get up to speed on data science vocabulary and outputs: regression, classification, exploratory data analysis, data preparation, and feature selection for business decisions.
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