Excel Foundations: Gain Confidence Working with Data

Learn to clean messy datasets, build dynamic dashboards, and use formulas that actually work in the real world.

πŸ“Š Foundation Level
⏰ 9 hours
In-Person
πŸŽ₯ Online-Live
English
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Who Is This Course For?

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Business Analysts who need to manipulate data but feel limited by their current Excel skills
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Project Managers tracking budgets, timelines, and resource allocation in spreadsheets
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University Students preparing research data or building analysis for their thesis
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Small Business Owners managing inventory, sales tracking, or financial forecasting
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Career Switchers who need data literacy as a foundational skill for their new role

What Will I Be Able to Do After This Course?

  1. 1
    Clean and organize messy datasets using Text-to-Columns, Find & Replace, and Remove Duplicates
  2. 2
    Build dynamic formulas using VLOOKUP, IF statements, SUMIFS, and nested functions to automate calculations
  3. 3
    Create pivot tables to summarize large datasets and extract actionable insights quickly
  4. 4
    Design professional dashboards with charts, conditional formatting, and data validation
  5. 5
    Apply best practices for workbook structure, naming conventions, and documentation for team collaboration

Course Overview

This isn't your typical Excel course. We don't start with "What is a cell?" or waste time on features you'll never use. Instead, we dive straight into the real scenarios you face at work: messy data that won't cooperate, formulas that break when you copy them, and dashboards that need to update automatically.

Over 9 hours, you'll work through actual business casesβ€”cleaning sales data, building budget trackers, automating reportsβ€”and leave with templates you can use immediately. No theory. No filler. Just the Excel skills that make you indispensable.

Prerequisites: Basic computer literacy. You should know how to open Excel and navigate between worksheets. Everything else, we'll teach you.

What's Going to Be Covered?

Module 1: Data Cleaning & Preparation β–Ό
Importing data from CSV, text files, and other sources
Text-to-Columns and Flash Fill for reformatting
Finding and removing duplicates
Handling missing values and errors
Module 2: Essential Formulas & Functions β–Ό
SUM, AVERAGE, COUNT family functions
IF statements and nested logic
VLOOKUP and XLOOKUP for data matching
SUMIFS, COUNTIFS for conditional calculations
Absolute vs. relative cell references ($A$1 vs A1)
Module 3: Pivot Tables & Data Analysis β–Ό
Creating and customizing pivot tables
Grouping data by date, category, and ranges
Calculated fields in pivot tables
Slicers and timeline filters
Module 4: Charts & Dashboards β–Ό
Choosing the right chart type for your data
Conditional formatting for visual insights
Building dynamic dashboards with named ranges
Data validation and dropdown lists

Your Instructor

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Ahmed Al-Harthy

Data Analyst | 8 years at Petroleum Development Oman

Ahmed has spent the last eight years turning raw operational data into actionable insights for one of Oman's largest energy companies. He's built financial models, automated reporting dashboards, and trained dozens of colleagues on Excel best practices. His teaching style: "If I can't explain it in one sentence, it's too complicated."