You want to enter the data field
Start with the core concepts, then progress through Excel, SQL and Power BI until you can complete an end-to-end analysis project.
From fundamentals to a job-ready portfolio + Microsoft PL-300 preparation
Learn data analysis as it is used on the job — and build a portfolio that proves your skills
Don’t learn Excel, SQL and Power BI as disconnected tools. In this bootcamp, you’ll use them to solve real business problems and build dashboards, reports and projects you can showcase on your CV, LinkedIn and in interviews.
🚀
The outcome we are working toward: you can complete an analysis yourself from start to finish.
You’ll start with the business question and data preparation, move through analysis and KPI building, and finish by communicating the story in a way that supports better decisions.
✓ Starts from the fundamentals
✓ Continuous hands-on practice
✓ 3 months of post-graduation support
0Hours of learning & practice
0Practical projects
PL-300Certification preparation
3 monthsPost-graduation support
The tools and skills you’ll master in this bootcamp
📊
Excel
🗄️
SQL
📈
Power BI
🧮
DAX
🧱
Data Modeling
🏗️
Microsoft Fabric
🐍
Python
🏅
Microsoft PL-300
🌍
IBM
🧠
Business Intelligence
Is this bootcamp right for you?
Wherever you’re starting from, you’ll know exactly what comes next
This path is designed to move you from understanding to execution. You don’t need to already be a data analyst—you need the willingness to practice and build real projects as you learn.
You know Excel and want to level up
Move beyond traditional reports into SQL, data modeling, DAX and more professional interactive dashboards.
You want to make better data-driven decisions
Learn how to choose the right KPIs, analyze performance and present findings in language decision-makers understand.
You’re preparing for Microsoft PL-300
Learn Power BI, DAX and data modeling through practice while connecting those skills to the core PL-300 objectives.
Real student projects
Don’t just take our word for it — see what our students have built
These are real data analysis projects built by Athar Academy students. Open any project and see the level of practical work you can aim to add to your own portfolio.
Project 15 • Student work
Business Performance & KPI Dashboard
A student-built project showing how raw data becomes clear KPIs that make performance easier to understand and act on.
Dashboard • KPIs • Storytelling
Project 14 • Student work
Interactive Data Analysis Dashboard
A student project that demonstrates how to structure data and turn it into an interactive, easy-to-use dashboard.
Power BI • Visualization • Insights
Project 12 • Student work
Interactive Analytical Report
A hands-on project showing how analytics tools can answer business questions and communicate results professionally.
Reporting • Analysis • Business Questions
Project 11 • Student work
Performance & Business KPI Analysis
A project focused on spotting trends, identifying strengths and gaps, and turning findings into useful business insights.
KPIs • Trends • Performance
Project 4 • Student work
Data Analysis & Results Presentation
A practical bootcamp project combining analysis with polished outputs that can be added to a professional portfolio.
Data Analysis • Dashboard • Presentation
Project 16 • Student work
End-to-End Data Analysis Capstone
A capstone that brings the full workflow together, from understanding the data to producing a shareable analysis and dashboard.
End-to-End • Portfolio • BI
The goal isn’t just to watch lessons. It’s to build work you can actually show.
I want to build my projects
Your journey through the bootcamp
From raw data to analysis you can confidently explain to a manager or client
You won’t be trained to memorize clicks. You’ll learn why each step matters, what question it answers, how to validate the result, and how to present it clearly.
1
Understand the business question
Turn the problem into measurable questions and define the right KPIs before you touch the data.
2
Prepare the data and find the answers
Clean data with Excel and Power Query, then use SQL to retrieve the information you need with confidence.
3
Build the model and dashboard
Use Power BI, DAX and data modeling to turn your analysis into useful KPIs and interactive dashboards.
4
Turn your work into a portfolio and career opportunity
Package your projects, improve your CV and LinkedIn, and prepare to explain how you think in interviews—not just list the tools you know.
Curriculum
Start with the foundation — then choose how far you want to go
The journey is clearly separated: a foundation level for core analyst skills, an advanced level focused on Statistics & Business Analysis and executive analytics, plus an optional Python track for broader technical depth.
Level 1
The foundation every data analyst needs
Included in every enrollment path, from zero through Power BI, PL-300 preparation and portfolio building.
01
Thinking like a data analyst
- The data lifecycle and turning a business problem into a measurable question.
- KPIs, data quality and common analysis mistakes.
- The difference between description, analysis and an actionable recommendation.
02
Excel for analysis and reporting
- Data cleaning, organization and advanced formulas.
- PivotTables, trends and comparative analysis.
- Dynamic reports that connect numbers to business questions.
03
SQL from fundamentals to analytics
- SELECT, WHERE, GROUP BY, HAVING and CASE.
- Joins, subqueries, CTEs and window functions.
- Turning query results into KPIs and useful business answers.
04
Statistics foundations and data interpretation
- Mean, median, dispersion, ratios and growth rates.
- Outliers, correlation versus causation and reading distributions.
- Choosing the right metric and avoiding misleading conclusions.
05
Power BI & Business Intelligence
- Power Query, data preparation and Star Schema modeling.
- DAX, measures, time intelligence and KPI building.
- Dashboard design, Power BI Service, publishing and sharing.
06
PL-300 + Portfolio + career readiness
- Review the practical skills covered by Microsoft PL-300.
- Portfolio-ready projects presented as Problem → Analysis → Result.
- CV, LinkedIn, application strategy and interviews.
Level 2
From reporting to business analysis and decision support
Included in the Foundation + Advanced path and designed for learners who already understand the core Excel, SQL and Power BI workflow.
A1
Statistics & Business Analysis
- Distributions, relationships, correlations and outlier detection.
- Segmentation, cohort analysis, retention and churn.
- Root-cause analysis and turning insights into measurable actions.
A2
Python for analysts
- Loading, cleaning and EDA with Pandas.
- Segment, distribution and relationship analysis.
- Turning analysis into a documented, presentable notebook.
A3
Advanced analytical SQL
- Deeper use of CTEs and window functions.
- Funnel SQL, cohorts and retention.
- Basket analysis and advanced business metrics.
A4
Production-grade Power BI
- Advanced modeling, relationships and DAX performance.
- Executive views, drillthrough, tooltips and report design.
- Measure documentation and deliverable-ready business reports.
A5
Microsoft Fabric end-to-end
- Lakehouse, Warehouse and Bronze / Silver / Gold architecture.
- Dataflows, pipelines and connected data preparation.
- Semantic models and connecting data products to reporting.
A6
Case studies + executive portfolio
- BNPL risk, Funnel/CRO, basket analysis and retention/churn.
- Framing insights, actions and KPIs to measure impact.
- Power BI reports + notebooks + measure dictionary.
Python
An additional track for analysts who want code, automation and deeper analysis
Included in the Data Analysis + Python bundle and delivered as a flexible self-paced track alongside the foundation bootcamp.
P1
Environment setup & Python fundamentals
- venv, pip, Jupyter, VS Code and Git/GitHub.
- Variables, data types, conditions, loops and functions.
- Files, error handling and project organization.
P2
NumPy & Pandas
- Arrays, vectorization and statistical functions.
- CSV/Excel, cleaning, GroupBy, Pivot and merging.
- Extracting insights inside notebooks.
P3
SQLite + APIs + ETL
- SQLite, joins, subqueries and window functions through Python.
- Requests, pagination and extracting data from APIs.
- Mini ETL pipelines and automated Excel/CSV reporting.
P4
Visualization + Streamlit + Portfolio
- Matplotlib, Seaborn and data storytelling.
- An interactive, portfolio-ready Streamlit dashboard.
- GitHub README and project preparation for interviews.
Sales & growth analysis
- Revenue, growth and trends.
- Top-performing products and branches.
- Data-backed recommendations.
Financial performance & reporting
- Profitability, costs and variances.
- Compare performance across periods.
- A dashboard for managers and decision-makers.
HR analytics dashboard
- Turnover and recruitment.
- Absence and talent retention.
- Connect workforce metrics to management decisions.
Mostafa Nabih
Education consultant at Athar Academy with more than 7 years of experience in data training, analysis and engineering.
Afifi El-Qadi
Data analyst with more than 5 years of experience in Saudi Arabia’s financial sector and a CFA qualification.
Dr. Mohamed Abdel Fattah
Data analytics and business intelligence specialist with a master’s degree and multiple local awards.
Microsoft PL-300
Preparation focused on the practical Power BI, DAX and data-modeling skills covered by PL-300.
Professional portfolio
Present your projects so the problem, your analysis and the outcome are clear.
CV & LinkedIn
Present your skills and projects more clearly to recruiters and hiring managers.
Interviews & applications
Practice explaining your analytical thinking and build a practical application strategy.
By the end, you won’t just say “I know Power BI”
You’ll have projects you can open and present, interactive dashboards, hands-on experience with Excel, SQL, Power BI and DAX, and a practical understanding of KPIs and decision-focused analysis—plus PL-300 preparation and career support.
Why is this experience different?
We measure learning by what you can build—not by how many videos you watched
Every part of the bootcamp serves a clear outcome: a project, a measurable skill or a career step that moves you forward.
One connected workflow
Instead of learning tools in isolation, you’ll use Excel, SQL and Power BI in one connected workflow that mirrors real work.
Proof of your skills
Graduate with projects that demonstrate your ability to employers instead of relying on a list of skills.
IBM opportunity for top performers
Top-performing students may receive an IBM training opportunity that adds another layer of practical experience.
Support continues after the final session
Receive 3 months of post-graduation support to improve your projects and keep moving forward professionally.
Student experiences
Hear from people who completed the experience before you
Real student feedback about the content, hands-on work and support. Click any review to read it at a larger size.
Step 1 of 2
Choose the path that fits your goal
Choose the foundation level, add Python as a complementary track, or take the complete journey from fundamentals through the advanced level.
Start here
Best starting point
Foundation level
Data Analysis & Business Intelligence Bootcamp
Start from zero and build a strong foundation in Excel, SQL, Power BI and DAX, with portfolio projects and Microsoft PL-300 preparation.
- Excel, SQL and Power BI from fundamentals to application
- Data modeling, DAX and dashboard building
- Hands-on projects + portfolio + PL-300 preparation
- 3 months of post-graduation career support
Current path price
ر.س2,300.00 ر.س700.00
Broader technical skills
Data Analysis + Python bundle
Add Python to your data analyst toolkit
Get the complete foundation level plus the self-paced Python for Data Analysis bootcamp.
- Everything in the foundation level
- Python, NumPy and Pandas for data analysis
- SQLite, APIs, ETL and report automation
- Streamlit dashboard + GitHub portfolio
Current path price
ر.س2,800.00 ر.س950.00
Limited-time offer
Foundation + Advanced levels
The complete path at a special price
Start with the foundation level, then continue into Statistics & Business Analysis, Python, advanced SQL, production-grade Power BI and Microsoft Fabric — both levels are now available together at a special price.
- Everything in the foundation level + PL-300 preparation
- Statistics & Business Analysis and root-cause thinking
- Python, advanced SQL and production-grade Power BI
- Microsoft Fabric + executive case studies
Limited-time two-level offer
ر.س1,900.00 ر.س1,500.00
Get both levels now for only SAR 1,500 instead of SAR 1,900
You can change your choice before checkout and select the path that best fits your goal.
Step 2 of 2
Choose your foundation-level start date
Choose between the October or November cohort. Sessions are held on Saturday and Monday at 7:00 PM Saudi time. If these times do not work for you, choose the private 1-to-1 path and train on a schedule that fits you.
Selected path
Foundation level
Your selected cohort
Cohort starting 10 Oct 2026
Saturday & Monday • 7:00 PM (Saudi time)
What’s included in your enrollment?
One path that combines learning, hands-on practice, portfolio building and career preparation
Instead of collecting separate courses for each tool, you get one connected path that shows you what to learn, why it matters and where to use it in a real project.
- 60+ hours of learning and hands-on practice.
- 10+ projects and practical exercises to build your portfolio.
- Microsoft PL-300 preparation integrated into your Power BI journey.
- 3 months of post-graduation support plus CV, LinkedIn and interview preparation.
- IBM training opportunity for top-performing students.
Before you enroll
Straight answers to the questions you may have before deciding
If you still have a question, talk to a training advisor before completing your enrollment.
Yes. The bootcamp starts with the fundamentals and progresses step by step. What matters most is committing to the hands-on work—the goal is to build, not just watch.
Yes. The “Real student projects” section shows actual data-analysis work created by Athar Academy students so you can judge the practical level before enrolling.
No. The path combines Excel, SQL, Power BI, DAX and data modeling, with an introduction to Microsoft Fabric and AI tools that can support an analyst’s workflow.
The bootcamp includes practical preparation for PL-300 skills, especially Power BI, DAX, data modeling and data preparation, with those skills applied throughout the projects.
Yes. Choose the cohort and schedule that fit you, then complete your enrollment.
After enrollment, the bootcamp will appear in your Athar Academy account and you’ll receive the cohort start and session-joining details.
By the end of the bootcamp, you should have work to show—not just skills to claim
Start from your current level, work with real data and projects, and build a portfolio that shows how you turn data into clear decisions and deliverables.