
Can you confidently explain mean, standard deviation, or correlation—and actually use them to make business decisions?
In this video, you’ll learn Statistics for Data Analytics and Data Science using Excel, taught step-by-step with real Nigerian business and NGO case studies.
What You’ll Learn in This Video:
✔️ How to activate the Excel Data Analysis Toolpak
✔️ Core Descriptive Statistics every data analyst must know
✔️ How to interpret mean, median, mode & standard deviation
✔️ How to build frequency distributions & histograms
✔️ Diagnostic statistics using correlation
✔️ Single & multiple correlation analysis
✔️ How to extract real business insights from data
Business Case Studies Used:
📌 Aisha Bakery – Understanding sales and customer data
📌 FoodHope Outreach Foundation – Using data for better decisions in NGOs
⏱️ Video Timeline:
00:00 Business Case Study 1 – Aisha Bakery
01:35 How to Activate Excel Data Analysis Tool
02:06 Descriptive Statistics
03:37 Mean
04:17 Median
05:22 Mode
06:00 Standard Deviation
06:50 Minimum
07:05 Maximum
07:35 Range
08:09 Sum
08:30 Count
08:52 Frequency Distribution
10:20 Histogram
13:27 Business Case Study 2 – FoodHope Outreach Foundation
14:05 Diagnostic Statistics
14:31 Single Correlation
17:34 Scatter Plot I
20:26 Multiple Correlation
22:00 Correlation Matrix
24:00 Business Insights
26:21 Scatter Plot II
Who This Video Is For:
🎯 Beginner data analysts
🎯 Excel users transitioning into data analytics
🎯 Students learning statistics for data science
🎯 Business professionals who want data-driven decisions
Learn Data Analytics, Data Science, AI / ML with SkillAhead Data Academy.
Certificate Courses: Excel, Power BI, SQL, Tableau, Google Sheets, Statistics, and Python.
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Drop your questions in the comments, and I’ll be happy to guide you!
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