Modern Excel for Data Analysis (2025)

Offered by

Benaadir Research, Consultancy & Evaluation Center (BRCE)

$10 $20

37 Cashir

5.5 Saacadood

Course Certificate

📌 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

  • 1.1 Introduction Microsoft Excel
    22:12

Module 2. Shortcuts for Navigating Data in a Spreadsheet

Module 3. Data Analysis with Pivot tables

Module 4. Data Visualization in Excel

Module 5. Advanced Data Analytics Features

Module 6. Excel with AI

Student Ratings & Reviews

4.7
Total 7 Ratings
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Asc ustaadi Anova between subjects and within subjects practical exel kuma jirto oo isbarbardhiga machine 1,2 and 3 ah kuma jiraan
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
MA
1 year ago
it was good, and I got a lot of experience.
I advice to add pivot table, VLOOKUP up, Xlookup.
thanks.
Thanks you our dear Teacher Eng Di' isow
QA
1 year ago
very interesting course

About the instructors

Abdishakur Diso
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.

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