Categories
Data Analyze Bootcamp
Modern Excel for Data Analysis (2025)
Offered by
Benaadir Research, Consultancy & Evaluation Center (BRCE)
$20
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LevelAll Levels
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Total Enrolled180
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Duration5 hours 30 minutes
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Last Updated03/12/2025
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CertificateCertificate of completion
Hi, Welcome back!
📌 Course Description
Excel has evolved far beyond spreadsheets—today it is a powerful platform for data analysis, visualization, automation, and AI-driven insights. This course equips learners with modern Excel skills to confidently clean, analyze, and visualize data, integrate AI tools like ChatGPT, Copilot, and Gemini, and build dynamic dashboards for business decision-making. Whether you’re an absolute beginner or an experienced professional, this course will help you transform Excel from a simple table tool into a data analytics powerhouse.
❓ Why Learn This Course?
- Excel remains the most widely used tool for business analytics, finance, research, HR, and operations.
- Modern Excel (with Power Query, Power Pivot, DAX, and AI integrations) now rivals specialized analytics tools.
- By 2025, employers increasingly demand professionals who can leverage Excel with AI for predictive analytics, automation, and storytelling.
- The course helps learners save time, reduce errors, and make smarter data-driven decisions.
👥 Who Can Learn?
This course is designed for:
- Students & Researchers – to analyze academic or research data with Excel + AI.
- Business Professionals – managers, analysts, and decision-makers who need insights from financial, sales, or HR data.
- Entrepreneurs & SME Owners – to create reports, dashboards, and forecasts without expensive software.
- Job Seekers – those aiming for roles in data analysis, business intelligence, or reporting.
- Anyone new to Excel who wants to future-proof their skills.
🎯 What Will Be Learned?
1. Spreadsheet Fundamentals
- Navigating Excel efficiently with shortcuts.
- Understanding data types, dates, and formatting.
- Data cleaning with validation, duplicate removal, filters, and conditional formatting.
2. Data Analysis with Pivot Tables
- Creating and customizing pivot tables.
- Grouping dates, summarizing values, and adding slicers/timelines.
- Using calculated fields and AI Copilot for pivot insights.
3. Data Visualization in Excel
- Building basic charts (bar, line, pie, column).
- Designing advanced charts (waterfall, treemap, sunburst, funnel).
- Creating interactive dashboards with form controls and dynamic ranges.
- Applying sparklines and icon sets for conditional visualization.
4. Advanced Data Analytics Features
- Using Power Query for data extraction and transformation.
- Designing Power Pivot data models with relationships.
- Applying DAX functions for advanced calculations.
5. Excel with AI (Next-Gen Features)
- Using Excel ChatGPT Assistant for queries and analysis.
- AI-powered forecasting and predictive analytics.
- Automated cleaning, smart suggestions, and AI-generated dashboards.
- AI-driven data storytelling with narrative reports.
6. Practical Applications in Analytics
- Financial analysis (budgets, profitability, variance).
- Sales & marketing analytics (customer insights, trends).
- HR analytics (workforce data, performance).
- Supply chain analytics (logistics, inventory).
- Research analytics (survey, experimental data).
7. Case Studies & Projects
- Build a sales dashboard with pivot tables and AI insights.
- Clean messy datasets with Power Query & Smart Fill.
- Forecast demand with AI-powered forecasting.
- Automate monthly management reports with Excel + AI.
✅ By the end of this course, you will be able to:
- Analyze and visualize data professionally.
- Automate workflows and build dashboards.
- Integrate Excel with AI for smarter insights.
- Apply Excel analytics to real-world business and research cases.
Target Audience
- Students
- Data Analysts
- Researchers
- Business Advisors
- Evaluators
Material Includes
- 1 PDF of Compete Course Notes
- 29 Excel Practice files
Course Curriculum
Module 1. Spreadsheet fundamentals
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1.1 Introduction Microsoft Excel
22:12 -
Course Files
Module 2. Shortcuts for Navigating Data in a Spreadsheet
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2.0 Navigating Excel interface
11:10 -
2.1 Shortcuts for Entering & Editing Data
07:49 -
2.2 Data Types
09:43 -
2.3 Dates in Excel
13:30 -
2.4 Number Formatting
09:05 -
2.5 Data Validation
14:04 -
2.6 Removing Duplicates, conditional formatting
11:08 -
2.7 Filtering Data and sorting Data
07:02
Module 3. Data Analysis with Pivot tables
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3.1 Creating a Pivot Table
17:32 -
3.2 Modifying Pivot Table Views
07:51 -
3.3 Automatic Date Grouping
06:32 -
3.4 Summarize Values By Options
07:10 -
3.5 Slicers & Timelines
09:57 -
3.6 Calculated Fields
10:37 -
3.7 Microsoft Copilot/Google Gemini
08:40
Module 4. Data Visualization in Excel
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4.1 Basic Charts (Bar, Line, Pie, Column)
21:00 -
4.2 Advanced Charts (Waterfall, Sunburst, Funnel, Treemap)
13:33 -
4.3 Interactive Dashboards (Form Controls, Linked Charts, Dynamic Ranges)
10:36 -
4.4 Conditional Visualizations (Sparklines, Icon Sets)
07:21
Module 5. Advanced Data Analytics Features
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5.1 Power Query (Data Extraction & Transformation)
17:41 -
5.2 Power Pivot (Data Models & Relationships)
07:51 -
5.3 DAX Functions for Analysis
08:48
Module 6. Excel with AI
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6.1 Excel Chatgpt (AI Assistant for Analytics)
08:49 -
6.2 AI-Powered Forecasting & Predictive Analytics
15:10 -
6.3 Automated Data Cleaning & Smart Suggestions
08:56 -
6.4 AI-Generated Charts & Dashboards
14:50 -
6.5 AI-Powered Data Storytelling (Automatic Report Narratives)
13:00
Module 7. Practical Applications of Excel in Data Analytics
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7.1 Financial Data Analysis
17:19 -
7.2 Sales & Marketing Analytics
18:04 -
7.3 HR & Workforce Analytics
14:30 -
7.4 Supply Chain & Logistics Analytics
14:45 -
7.5 Part 1 Academic / Research Data Analytics
24:27 -
7.5 Part 2 Academic / Research Data Analytics
07:01
Module 8. Case Studies & Projects
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8.1 Part 1 Building a Sales Dashboard with Pivot Tables & AI Insights
26:56 -
8.1 Part 2 Building a Sales Dashboard with Pivot Tables & AI Insights
13:37 -
8.2 Cleaning messy datasets with Power Query & Smart Fill
09:55 -
8.3 Forecasting future demand with AI-powered Excel forecasting
05:52
Student Ratings & Reviews
4.8
Total 10 Ratings
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Excellent course
Thanks ustaad
My Experience with the Data Analysis Course
I participated in this Data Analysis course with the goal of learning new skills related to data analysis. The course was well-structured and informative, and I particularly benefited from the following:
Understanding the fundamentals of data collection and cleaning
Using essential tools such as Excel, SQL, and Python
Performing data analysis and visualization using libraries like Matplotlib and Seaborn
Working on real-world projects, which helped me understand how to apply these skills in practical scenarios
This course was a valuable opportunity for me, and it significantly improved my understanding of data handling, analysis, and the use of relevant tools in the field.
I participated in this Data Analysis course with the goal of learning new skills related to data analysis. The course was well-structured and informative, and I particularly benefited from the following:
Understanding the fundamentals of data collection and cleaning
Using essential tools such as Excel, SQL, and Python
Performing data analysis and visualization using libraries like Matplotlib and Seaborn
Working on real-world projects, which helped me understand how to apply these skills in practical scenarios
This course was a valuable opportunity for me, and it significantly improved my understanding of data handling, analysis, and the use of relevant tools in the field.
Asc ustaadi Anova between subjects and within subjects practical exel kuma jirto oo isbarbardhiga machine 1,2 and 3 ah kuma jiraan
thanks.
thanks.
Course kaan waxaan kabartay oo aan kafaaiiday aqoon iyo cilmi aad ubadan.
Well done!!!
Aduunka hada wax uu u quuraya dhinacas io comprised. Dhabti course ka io sharaxada Eng. Abdi Shakur Dhicisow wax ku qiimeyey 9/10 wax badan ayan ka fa'iiday wax uu course kan igu dhiirigaliyey in an go'aan ku qaatay ina an qaato dhaman course ka data analays ka ila an ka gaaro BOTCAM
it was good, and I got a lot of experience.
I advice to add pivot table, VLOOKUP up, Xlookup.
thanks.
I advice to add pivot table, VLOOKUP up, Xlookup.
thanks.
Thanks you our dear Teacher Eng Di' isow
About the instructors
Abdishakur Diso
Master of Applied Research and Statistics, Master of Engineering
Offered by
BRCE waa xarun ka shaqaysa horu marinta iyo barashada arimaha la xariira xirfadaha Casriga ah oo ku salaysan Technology-ga.