Business & Data

Advanced Excel

Master spreadsheets for reports, budgets, and dashboards used across South Sudan.

Level: Beginner–Intermediate Beginner: 4 weeks • Intermediate: 8 weeks Contact for pricing

Prerequisites

Basic computer literacy and familiarity with simple spreadsheets is helpful — Module 1 includes a refresher, so complete beginners can still start here.

Certificate

Awarded by Rescue Academy on successful completion of the program's assessments and final project.

Learn Online — Live Classes

Register, receive your schedule, and join live instructor-led Advanced Excel classes on Zoom. Assignments, instructor feedback, and a certificate on completion.

Learn In Person

Attend Advanced Excel classes in person in Juba with hands-on labs, instructor mentorship, and a certificate on completion.

What You'll Learn

  • Reliable formulas, Excel tables, validation and error handling
  • XLOOKUP, INDEX/MATCH, logical and conditional aggregation functions
  • Dynamic array formulas for self-updating reports
  • PivotTables, PivotCharts, slicers and dashboards
  • Power Query, data models, Power Pivot and DAX measures
  • What-if analysis, Solver and financial modelling
  • Automation with macros, VBA and Office Scripts

Program Objectives

  • Build accurate, maintainable workbooks that stay correct as data grows
  • Combine and summarise business data with lookups, dynamic arrays and PivotTables
  • Automate data preparation with Power Query and model data with DAX
  • Support decisions with what-if analysis and financial models
  • Deliver dashboards and automated reporting systems others can use

Who It's For

  • Office, finance and administrative staff who report with Excel
  • M&E and programme officers in NGOs
  • Small business owners and accountants who want faster, more reliable reports

Where You'll Use It

  • Monthly sales, stock and financial reporting
  • NGO programme, budget and donor reporting
  • Planning, budgeting and decision models

Curriculum

Instructor-led, practical training. Each level is a block of 4, 8 or 12 weeks; every module ends with a practical activity and an assessment, and every level with a project.

Beginner

4 weeks · 52 guided hours · 5 modules Free taster lessons available Level overview

Module 1: Reliable Formulas and Excel Tables 10 h

Refresh core formula skills and build workbooks on Excel tables, named ranges and validation so formulas stay correct as data grows. 3 lessons

Module 2: Lookup and Logical Functions 11 h

Combine data from different tables with lookups, and answer business questions with logical and conditional aggregation functions. 3 lessons

Module 3: Dynamic Array Formulas 10 h

Use modern dynamic array functions to build reports that filter, sort and summarise themselves. 3 lessons

Module 4: PivotTables and PivotCharts 11 h

Summarise thousands of rows in seconds with PivotTables, group and calculate within them, and present them with slicers and PivotCharts. 3 lessons

Module 5: Dashboard Fundamentals in Excel 10 h

Design and build a clear one-page dashboard that answers managers' key questions at a glance. 3 lessons

Level project: Monthly Sales and Stock Dashboard

Intermediate

8 weeks · 90 guided hours · 6 modules Level overview

Module 1: Power Query for Data Preparation 16 h

Replace manual copy-and-paste with Power Query: import, clean, reshape and combine data in repeatable, refreshable steps. 3 lessons

Module 2: Data Models and Power Pivot 16 h

Relate several tables in a data model and write DAX measures for powerful, consistent analysis. 3 lessons

Module 3: What-If Analysis and Financial Modelling 15 h

Explore decisions with Goal Seek, data tables, scenarios and Solver, and build clear, testable financial models. 3 lessons

Module 4: Interactive Dashboards and Sharing Workbooks 13 h

Build interactive, accessible dashboards on data models, and protect and share workbooks safely. 3 lessons

Module 5: Automating Excel 13 h

Automate repetitive Excel tasks with recorded macros, basic VBA and Office Scripts, safely. 3 lessons

Module 6: Excel Reporting System Project 17 h

Build the Automated Reporting System from requirements to a documented, refreshable workbook and present it. 3 lessons

Level project: Automated Reporting System for an Organisation

Final practical project

Automated Reporting System for an Organisation

A complete Excel reporting system that imports and cleans monthly files with Power Query, models them with measures, explores a key decision with scenarios and updates a dashboard with one refresh.

Deliverables

  • Power Query pipeline for monthly source files
  • Data model with documented, checked DAX measures
  • Scenario sheet and interactive dashboard
  • User guide and one safe automation

Assessed on

  • A new month's files update everything with Refresh All
  • Every measure is checked against an independent calculation
  • The workbook is documented, protected and easy for others to use
  • Automation is safe and documented

Worked Examples

A selection of the visual, practical examples used in this program's lessons — each teaches a different skill.

Free Course: Excel Skills Starter

A free refresher and step up in Excel: core functions for real work, lookups, PivotTables and a simple one-page dashboard. Free, self-study, about 5 hours — no certificate. The full program above is taught live by an instructor, with practical assignments, assessments and a certificate.

  1. 1Free lesson 1Excel Fundamentals Refresher
  2. 2Free lesson 2Core Functions for Real Work
  3. 3Free lesson 3Lookup Functions — VLOOKUP & INDEX/MATCH
  4. 4Free lesson 4Summarizing Data with PivotTables
  5. 5Free lesson 5Building a Simple Dashboard
  6. Final checkQuick Quiz — Advanced Excel Basics
Open the free course

Tools & Technologies

Primary Tools

  • Microsoft Excel (Microsoft 365 or Excel 2021 and later recommended) — The main tool of the program; some functions need recent versions Practice: Formulas, PivotTables, dashboards and models
  • Power Query (Get & Transform) — Importing, cleaning and combining data from files and folders Practice: Repeatable data preparation
  • Power Pivot and the data model — Relating tables and writing DAX measures Practice: Data modelling and measures

Supporting Tools

  • Solver add-in — Optimising decisions under constraints Practice: Product mix and planning models
  • VBA editor and Office Scripts — Automating repetitive tasks Practice: Safe, documented automation

Professional / Industry Tools

  • OneDrive or SharePoint with version history — Sharing reporting workbooks in a controlled way Practice: Collaboration and version control
  • Power BI (preview) — The natural next step for models built in Power Pivot Practice: Transferring Excel modelling skills to BI

Career Opportunities

  • Office/business analyst role
  • Administrative or reporting role in an NGO or company
  • Freelance Excel/data support services

Practical Projects

  • Build a business dashboard and reporting workbook for a real or simulated organization
  • Create an inventory or budget tracking system using lookup functions and PivotTables
  • Take a workbook with fragile formulas that break when rows are inserted or deleted, and rebuild it using Tables and XLOOKUP/INDEX-MATCH so it survives structural changes

Problem-Solving Focus

Problem: A shared workbook's formulas break or show #REF!/#VALUE! errors whenever someone inserts or deletes a row

Approach: Use structured references (Excel Tables) and INDEX/MATCH or XLOOKUP instead of fragile manual cell ranges, so formulas survive changes to the sheet's structure.

Problem: A weekly report needs to combine data pulled from several different spreadsheets or exports, currently done by hand every time

Approach: Use Power Query to import and automatically refresh the combined data, instead of manually copy-pasting and reformatting on the same schedule every week.

Problem: A repetitive task — formatting a report, cleaning a fresh data export — has to be done by hand every single week

Approach: Record a macro or write basic VBA to automate the repetitive steps, freeing time for the actual analysis instead of the busywork around it.

Problem: A dashboard looks impressive but decision-makers can't quickly find the one number they actually need

Approach: Apply real dashboard design principles — a clear visual hierarchy, one key number highlighted, and slicers for the filters people actually ask for — instead of cramming in every chart that's possible.