Python for Analysts
Import, clean, and explore datasets; perform EDA and segmentation analysis; and create clear visualizations for business reporting.
Advanced Level Beyond PL-300
Advanced Data Analysis & Business Intelligence Bootcamp | Microsoft & Cisco Certification Preparation
Go beyond building reports. This advanced bootcamp develops the skills to investigate complex business questions, analyze data with Python and advanced SQL, create production-ready Power BI reports, and develop analytical solutions using Microsoft Fabric.
📊
Build executive-level projects and a portfolio that demonstrates your expertise.
Practice with illustrative Saudi-market business scenarios covering BNPL risk, conversion funnels, basket analysis, and retention and churn, with insights and actionable recommendations.
IBMOpportunity for top performers
PCAPPython certification preparation
FabricEnd-to-End
0Case Studies
What Will You Learn?
From Reporting to Executive Decision-Making
An advanced curriculum combining in-depth analytics, data modeling, executive reporting, and maintainable data products.
Advanced Analytical SQL
Use CTEs, window functions, cohorts, funnels, and basket analysis to identify meaningful KPIs.
Power BI Production
Star Schema, DAX, performance optimization, drillthrough, and metric documentation.
Microsoft Fabric
Lakehouse, pipelines, dataflows, Bronze/Silver/Gold architecture, and semantic models.
Interactive Analytics Experience
From Data to Actionable Decisions
Choose a practice scenario and watch the code, metrics, and visualizations change instantly.
Delinquency Risk Analysis
Explore how late-payment rates change over four periods and identify where credit risk begins to rise.
SELECT period,
AVG(late_payment) * 100 AS late_rate
FROM sample_payments
GROUP BY period
ORDER BY period;
Latest period delinquency rate5.0%
P1P2P3P4
Identify Where Shoppers Drop Off
Compare site visits with the steps leading to purchase, then propose a conversion improvement.
SELECT step,
COUNT(DISTINCT user_id) AS users
FROM sample_funnel
GROUP BY step
ORDER BY step;
Illustrative conversion rate42.9%
VisitViewCartBuy
Find Opportunities to Grow Order Value
Explore products commonly purchased together and track average order value.
SELECT period,
AVG(order_total) AS avg_basket
FROM sample_orders
GROUP BY period
ORDER BY period;
Illustrative latest order value52 SAR
P1P2P3P4
Turn Retention Metrics into Actions
Track returning active customers over time and identify segments that need attention.
SELECT cohort,
AVG(is_active) * 100 AS retention
FROM sample_customers
GROUP BY cohort
ORDER BY cohort;
Illustrative latest retention rate82%
P1P2P3P4
All figures are fictional teaching examples, not real company data or live SQL execution.
Practical Value
Go Beyond Dashboards to Actionable Decisions
The goal is not simply to build a dashboard, but to understand a problem, investigate root causes, turn analysis into insights, and recommend actions with measurable KPIs.
1
Diagnose the Business Problem
Understand the business context and define the right questions and metrics.
2
Investigate in Depth
Use Python and SQL to uncover KPIs, trends, and segment-level insights.
3
Build an Executive Report
Create production-grade Power BI reports with clear layouts, drillthrough, and tooltips.
4
Recommend Actions
Turn findings into practical recommendations and metrics for measuring impact.
Curriculum
Advanced Learning Modules
A practical path built for professional work, from advanced analysis to data products and executive reporting.
No matching modules. Try a different term.
01
Python for Analysts
- Read data from CSV, Excel, and databases.
- Missing/Duplicates/Outliers.
- Analyze distributions, relationships, and correlations.
02
Advanced Analytical SQL
- CTEs and Window Functions.
- Cohorts and Retention.
- Funnel SQL and Basket Analysis.
03
Power BI Production
- Practical Star Schema and DAX.
- Optimize performance and relationships.
- Executive Views and Drillthrough.
04
Microsoft Fabric
- Lakehouse and Warehouse.
- Bronze/Silver/Gold.
- Dataflows, Pipelines, and Semantic Models.
05
Saudi-Market Case Studies
- BNPL Risk.
- Funnel/CRO.
- Basket Analysis and Retention/Churn.
06
Executive Portfolio
- Insights & Actions.
- Measure Dictionary.
- Power BI Reports and Notebooks.
Company names are illustrative case-study references, not official partnerships or real company data.
Featured market projects
A stronger bootcamp experience with high-impact, market-based projects
These training scenarios are inspired by real market categories so you can build a stronger portfolio, demonstrate analytical thinking, and apply Python, SQL, Power BI, and Fabric to business cases you can confidently discuss in interviews.
A case study focused on late-payment behavior and credit-risk indicators to support stronger underwriting and collections decisions.
- Days Past Due buckets and vintage analysis.
- Delinquency trends and segment comparison.
- Actionable credit and collections recommendations.
Analyze the customer journey from first visit to purchase to identify drop-off points and unlock practical conversion improvements.
- Funnels and drop-off analysis.
- Segmentation by channel and device.
- Actionable CRO recommendations.
A project focused on understanding co-purchase behavior and identifying offer strategies that improve average basket value.
- Top bundles and product affinity.
- Promotion impact on basket value and sales.
- Increase average basket value.
Investigate merchant retention patterns and churn signals to recommend actions that improve stability and growth.
- Cohorts and retention analysis.
- Subscription health and activity indicators.
- Actions to improve retention and growth.
Mostafa Nabih
Educational consultant at Athar Academy with 7+ years of experience in data analytics, data engineering and technical training. Holds Microsoft PL-300 and DP-700 certifications and achieved second place in an African AI competition.
Afifi El-Qadi
Data analyst with over 5 years of experience in Saudi Arabia's financial sector and a CFA qualification.
Dr. Mohamed Abdel Fattah
Data Analysis and Business Intelligence specialist with a master's degree and several local awards for innovative data solutions.
What Will You Achieve?
Build an advanced portfolio demonstrating how you analyze real-world business problems, develop data products with Microsoft Fabric, create production-grade Power BI reports, and recommend measurable business actions.
Bootcamp Benefits
What Makes This Level Different?
Focus on executive analysis, not just presenting numbers: business problems, metrics, root causes, decisions, and impact measurement.
Certifications and Preparation
Guidance for relevant Microsoft and Cisco certification paths, PCAP preparation, and any program certificates subject to their published eligibility requirements.
IBM Opportunity
Top-performing participants may be considered for an IBM training opportunity, subject to selection criteria.
Saudi-Market Business Scenarios
Use educational scenarios inspired by BNPL, commerce, retail, and SaaS businesses; these are not claims of official partnerships or actual company datasets.
3 Months of Follow-Up
Support during the bootcamp and for 3 months afterward to help with projects and career development.
Available cohorts
Choose Your Advanced Bootcamp Start Date
Choose 11 November or 20 December 2026. Session days and times will be shared after enrollment is confirmed. If neither date works, explore flexible one-to-one training.
Your Selected Start Date
11 November 2026 Cohort
Starts on 11 November 2026. Session details will be shared after enrollment is confirmed.
Bootcamp Enrollment
Take Your Data Analysis and Business Intelligence Skills Further
Designed for learners with foundational data analysis knowledge who want to advance their Python, SQL, Power BI, and Microsoft Fabric skills.
- Advanced training beyond PL-300-level fundamentals.
- Practical Python and advanced analytical SQL.
- Production-ready Power BI skills.
- Four applied Saudi-market-inspired case studies.
Current Enrollment Offer
ر.س2,400.00
ر.س1,200.00
Discount 50%
Save ر.س1,200.00 when you enroll now
Frequently Asked Questions
Before You Enroll
Quick answers about prerequisites, projects, certifications, and training opportunities.
Choose 11 November or 20 December in the cohort section, then enroll. Your selection will be saved with your order.
Learners with a foundation in data analysis and Power BI who want to progress into advanced Python, SQL, Fabric, and executive projects.
Educational case studies covering BNPL risk, funnel optimization, basket analysis, and merchant retention/churn.
Yes. The program includes CV and LinkedIn development, interview preparation, and professional portfolio presentation.
Top-performing participants may be considered, subject to assessment and selection criteria.
It appears when you are signed in and actively enrolled in this course.
Move from Reports to Data-Driven Decisions
Advance your skills in Python, SQL, Power BI, and Microsoft Fabric, and build executive projects demonstrating your ability to solve real business problems.