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Excel Essentials for Analysts and Accountants
Rating: 4.4 out of 5(18 ratings)
1,170 students

Excel Essentials for Analysts and Accountants

Two Courses in One: Learn Important Excel Skills for Analysts and Accountants
Created byMike M.
Last updated 1/2026
English

What you'll learn

  • Learn the core Microsoft Excel skills every accountant, analysts or financial professional needs
  • Learn how to perform key accounting tasks in Excel
  • Outline the structure that the SUMIF function uses.
  • How to track business performance.
  • Explain how to measure EBITDA.
  • Learn how to record transactions in a general ledger
  • How to construct a business valuation using a cash flow analysis.
  • Categorize expenses for taxes.
  • Use key financial statements.

Course content

2 sections52 lectures4h 13m total length
  • What is Business Analytics4:37
  • Business analytics and company financials3:34

    Compare business analytics with business intelligence, highlighting forward-looking predictive analytics and data mining. Focus on diagnostic analytics and prescriptive analytics to optimize operations and outcomes.

  • Basics of business analysis4:12
  • Finding data for business analytics4:34
  • Using business analytics for sales prospecting3:59

    Explore how business analytics shapes marketing through LinkedIn tools like Sales Navigator and Campaign Manager to identify prospects, run targeted ads, and analyze metrics in Excel to optimize campaigns.

  • Testing marketing content with business analytics4:13
  • Data access and availability3:45
  • Integrating data sets6:01

    Learn how Excel integrates data sets from other systems, exports to Excel or CSV, and links charts to PowerPoint for dynamic, reusable pitch decks.

  • Data and business analytics6:00

    Merge company and year data sets in Excel using VLOOKUP or XLOOKUP, creating a unique identifier with concatenate to align by company code and year, preventing garbage in, garbage out.

  • Data model and mapping data7:45

    Explore building data models and mapping data in Excel with templates and add-ins, forecast revenue from price and units sold, and organize variables with a data dictionary.

  • Dealing with data Issues9:20

    Analyze real-world store data in Excel to measure elasticity of demand, compare price changes, and estimate revenue impact using customized elasticity calculations and median insights.

  • Tools for business analysis4:22

    Explore tools beyond Excel for business analytics, including Power BI with generative AI integration for data models and visuals. Leverage Tableau for graphics and Stata or SAS for heavy-duty analysis.

  • Business analytics and performance4:58

    Learn to extract quick insights from a cleaned data set using Excel conditional formatting—color scales and gradient bars—to visualize performance, spot top performers, and compare daily sales to quotas.

  • Using data in hiring plans7:32

    Learn how data analytics and Excel's Regression toolpak evaluate hiring impact on sales. Analyze variables like calls per day, remote work, teams use, and bonuses to guide hiring and incentives.

  • Understanding HR issues with data4:19

    Explore how excel-based regression helps hr analytics set dynamic sales quotas by remote vs in-person status and by month, using historical data and calls per day to tailor goals.

  • Troubleshooting at the organization4:58

    Demonstrate using Excel to analyze six locations, apply conditional formatting and color scales, compare customers, sales, and average invoices, and show traffic through the door as the main driver.

  • Forecasting with business analytics data6:21

    Use Excel's forecast tools to generate organization-wide and location-level forecasts from daily customer data with moving averages and forecast sheets.

  • Making corporate investment decisions7:40

    Use an Excel model to compare cash only, loan, syndicate, and syndicate plus loans options for a real estate fund, and decide using IRR and NPV.

  • Examining financial data4:27

    Explore variance analysis in corporate finance by comparing actual results to planned metrics, interpreting revenue, cogs, and gross margin, and using variances to diagnose performance.

  • Waterfall charts in Excel3:35

    Create waterfall charts in Excel using new graphing types to compare plan vs actuals and highlight drivers like growth, market share, expenses, and productivity.

  • Competitor analysis and benchmarking5:21

    Perform competitor analysis and benchmarking in Excel by comparing costs and SG&A as percentages of sales, using conditional formatting to reveal relative performance against peers.

  • Business analytics15:53

    Explore how to use Excel for business analytics by building models, running regressions, and optimizing marketing spend and pricing with Solver to maximize profitability.

  • Price, volume, and sensitivity analysis6:10

    Explore how sensitivity analysis in Excel models profitability under changing price and sales volume, using data tables to map multiple scenarios.

  • Controlling costs in business4:54

    Use Excel scenario analysis to model profitability under what-if scenarios, including power-user pricing, productivity gains, and cloud migration costs, via the Scenario Manager.

  • Business Analytics and AI20:46

    Generative AI tools unlock data insights, trend analysis, and report writing for business analytics, but require judgment, key metrics focus, and skepticism to avoid errors.

  • Put tools into action1:47

    Leverage Excel to perform business analytics by collecting and cleaning data, building business models across marketing, operations, finance, and accounting, and using forecasting, scenario analysis, sensitivity analysis, and data visualization.

Requirements

  • Microsoft Excel to follow along

Description

Analysts and accountants rely on Microsoft Excel to perform complex calculations and create schedules that are not possible with traditional bookkeeping software. This comprehensive course teaches essential Excel skills that every accountant needs to know.

This two-part course package brings together two complementary skill sets in one program: Excel for Business Analysts and Excel for Accountants. Designed for professionals and students who want both analytical and accounting expertise, this combined course equips learners with the tools to turn data into insights and insights into sound financial decisions.

Part 1: Excel for Business Analysts

The first part of the course focuses on using Excel as a powerful business analytics tool. You’ll learn the fundamentals of business analytics, including key concepts, definitions, and real-world use cases. The course covers how to access, integrate, and organize data, build data maps, and apply predictive and analytical techniques to support better decision-making. You’ll also explore how analytics supports business strategy, market analysis, and management planning, along with an overview of how generative AI can—and cannot—enhance business analytics workflows.

Part 2: Excel for Accountants

The second part of the course is dedicated to practical accounting and financial analysis using Excel. You’ll learn how Excel is used for profit-and-loss (P&L) reporting, forecasting, business valuation, and financial analysis. Topics include recording transactions in a general ledger, categorizing expenses for tax purposes, tracking business performance, analyzing key financial statements, and importing and exporting data between Excel and accounting software such as QuickBooks.

Designed for working professionals and business students, this two-in-one course delivers short, focused lessons that emphasize real-world applications. By completing both parts, you’ll gain a well-rounded Excel skill set that supports business analysis, accounting, and financial decision-making—all within a single, integrated program.

Who this course is for:

  • Business Analysts
  • Accountants
  • Small business owners
  • Bookeepers
  • CPAs