Data Analysis Projects with Microsoft Excel

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About Course

Course Title: Data Analysis Projects with Microsoft Excel

Course Description:
Data has become the lifeblood of modern organizations — driving innovation, strategy, and growth across every industry. Yet, the real value of data lies not in its collection, but in the ability to interpret, analyze, and communicate meaningful insights from it. Data Analysis Projects with Microsoft Excel is a comprehensive, hands-on course carefully designed to equip learners with the practical skills and analytical mindset required to thrive in today’s data-driven workplace.

This course goes beyond theory to immerse you in real-world, end-to-end projects that reflect authentic business challenges faced by analysts, managers, and decision-makers. Using Microsoft Excel as your primary tool, you’ll learn to manage the complete data analysis workflow — from data collection and cleaning to modeling, visualization, and presentation. Each project is crafted to simulate real industry scenarios, giving you an internship-style experience that bridges the gap between classroom learning and practical execution.

What You’ll Learn:

  • Data Preparation & Cleaning: Import, organize, and clean raw datasets using Excel’s advanced features and formulas.

  • Exploratory Data Analysis (EDA): Identify trends, patterns, and outliers using pivot tables, charts, and descriptive statistics.

  • Data Modeling & Insights Generation: Apply analytical methods to uncover business insights and support evidence-based decision-making.

  • Dashboard Design & Visualization: Build professional dashboards that clearly communicate results and key performance metrics.

  • Reporting & Storytelling: Present your findings effectively using visual narratives and business reports that influence decision-makers.

Key Features:

  • Project-based learning focused on real business data.

  • Practical exposure to Excel’s advanced functions and analytics tools.

  • Guided mentorship through each stage of data analysis.

  • Opportunity to build a professional project portfolio.

  • Certificate of completion to validate your analytical proficiency.

Who Should Enroll:

  • Students and graduates seeking industry-based experience in data analytics.

  • Early-career professionals and interns looking to strengthen their analytical portfolio.

  • Business professionals who rely on Excel for decision-making and reporting.

  • Anyone passionate about transforming data into actionable business insights.

Course Level: Intermediate
Learning Mode: Project-based, hands-on training
Primary Tool: Microsoft Excel

By the end of this course, you’ll have completed multiple real-world data analysis projects, gained industry-level experience, and developed the confidence to perform as a competent, job-ready data analyst using Microsoft Excel.

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What Will You Learn?

  • Gain hands-on experience with the end-to-end data analysis process using Microsoft Excel
  • Learn to clean and prepare raw data, including removing duplicates, formatting, and handling missing values
  • Perform exploratory data analysis (EDA) using filters, sorting, functions, and PivotTables
  • Master advanced Excel formulas such as VLOOKUP, INDEX-MATCH, IF statements, and conditional formatting
  • Create interactive dashboards with charts, slicers, and visuals to communicate data insights
  • Apply forecasting and trend analysis techniques using Excel’s built-in tools
  • Understand and use Power Query for automating data import, cleaning, and transformation
  • Solve real-life business problems across domains like sales, marketing, finance, and operations
  • Build a portfolio of Excel projects that showcase your data analysis skills to potential employers
  • Receive feedback and mentorship to reinforce learning and improve project quality

Course Content

Data Analysis Projects with Microsoft Excel

  • Introduction
    00:00
  • Project Resources
  • 1. The Bosh Sales Agency – Data Cleanup
    10:17
  • 2. Customer Contact Details – Data Cleaning
    24:19
  • 3. Friend Request Data Cleaning Task
    09:46
  • 4. Dataset Reconciliation Request
    19:42
  • 5. Late Submission Analysis
    18:25
  • 6. Population Data Extraction and Analysis – Nigerian States
    27:22
  • 7. Sales Data Analysis for Rocry Shopping Company
    34:30
  • 8. Bank Reconciliation Exercise
    16:13
  • 9. Employee Data Adjustment – Madox Cooperation
    32:43
  • 10. Mini Super Store Data Analysis
    42:37
  • 11. Student Performance Analysis Report – School XYZ
    01:17:36
  • 12. Sales Transaction Data Analysis
    36:16
  • 13. Supplier Transaction Record Template Design
    01:10:27
  • 14. Sales Data Executive Reporting
    54:13
  • 15. Kracks Consultant & Infrastructure
    24:20
  • 16. Quick Job Applicant Data Cleaning
    13:51
  • 17. McSmith Recruiting Services – Candidate Selection Analysis
    17:53
  • 18. UK Excel Assessment for Data Analyst Role
    32:52
  • 19. Kace Communications – Mast Code Extraction
    10:30
  • 20. Credit Card Spending Habits in India
    51:03
  • 21. RushTech Financials
    48:41
  • 22. LayKon Designs & Research Institute
    32:28
  • 23. Flourish Fish Farms – Sales Automation & Dashboard
    59:13
  • 24. Tunia Technologies – Sales & Performance Dashboard
    52:04
  • 25. GreenBrew Ltd Financial Analysis
    58:23
  • 26. Creating your Data Analysis Portfolio
    01:16:24
  • 27. Professional CV and Cover Letter
    08:21
  • 28. LinkedIn Optimization
    22:30

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