Data Analysis Projects with Microsoft Excel
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:
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Data Preparation & Cleaning: Import, organize, and clean raw datasets using Excel’s advanced features and formulas.
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Exploratory Data Analysis (EDA): Identify trends, patterns, and outliers using pivot tables, charts, and descriptive statistics.
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Data Modeling & Insights Generation: Apply analytical methods to uncover business insights and support evidence-based decision-making.
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Dashboard Design & Visualization: Build professional dashboards that clearly communicate results and key performance metrics.
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Reporting & Storytelling: Present your findings effectively using visual narratives and business reports that influence decision-makers.
Key Features:
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Project-based learning focused on real business data.
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Practical exposure to Excel’s advanced functions and analytics tools.
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Guided mentorship through each stage of data analysis.
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Opportunity to build a professional project portfolio.
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Certificate of completion to validate your analytical proficiency.
Who Should Enroll:
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Students and graduates seeking industry-based experience in data analytics.
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Early-career professionals and interns looking to strengthen their analytical portfolio.
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Business professionals who rely on Excel for decision-making and reporting.
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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.
Course Content
Data Analysis Projects with Microsoft Excel
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Introduction
00:00 -
Project Resources
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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