Advanced Tools and Techniques in Data Analysis

$5500.00

Advanced Tools and Techniques in Data Analysis: 5-Day Professional Course

Course Overview

This intensive 5-day program equips professionals across Saudi Arabia, Oman, UAE, Kuwait, Bahrain, and Qatar with cutting-edge data analysis skills essential for driving business intelligence and digital transformation in the GCC region. Designed for analysts, business professionals, and decision-makers, this course combines hands-on training with real-world applications relevant to Middle Eastern markets.

Target Audience: Data analysts, business intelligence professionals, financial analysts, marketing analysts, IT professionals, and managers across KSA, Oman, and GCC countries seeking to enhance their analytical capabilities.


Day 1: Foundations of Modern Data Analysis

Morning Session: Data Analysis Ecosystem

  • Introduction to data-driven decision making in GCC economies

  • Understanding data types, structures, and quality assessment

  • Data collection methodologies for Middle Eastern markets

  • Statistical foundations: descriptive and inferential statistics

  • Data governance and compliance with regional regulations

Afternoon Session: Excel Advanced Techniques

  • Power Query for data transformation and cleansing

  • Advanced formulas: XLOOKUP, dynamic arrays, and nested functions

  • PivotTables and PivotCharts for business reporting

  • Data visualization best practices for Arabic and English audiences

  • Automation using macros and VBA basics

Practical Exercise: Analyze Saudi retail sales data using advanced Excel techniques


Day 2: Python for Data Analysis

Morning Session: Python Fundamentals

  • Setting up Python environment (Anaconda, Jupyter Notebooks)

  • NumPy for numerical computing and array operations

  • Pandas for data manipulation and analysis

  • Data cleaning techniques: handling missing values, duplicates, and outliers

  • Working with Arabic text data and date formats

Afternoon Session: Data Visualization with Python

  • Matplotlib fundamentals for static visualizations

  • Seaborn for statistical graphics and heatmaps

  • Plotly for interactive dashboards

  • Creating bilingual visualizations for GCC audiences

  • Exporting and presenting analytical findings

Practical Exercise: Build a comprehensive dashboard analyzing Oman’s economic indicators


Day 3: SQL and Database Management

Morning Session: SQL Essentials

  • Relational database concepts and architecture

  • Writing efficient SELECT queries with filtering and sorting

  • JOINs: INNER, LEFT, RIGHT, and FULL OUTER

  • Aggregate functions: SUM, AVG, COUNT, GROUP BY, HAVING

  • Subqueries and Common Table Expressions (CTEs)

Afternoon Session: Advanced SQL Techniques

  • Window functions for complex analytics

  • Data manipulation: INSERT, UPDATE, DELETE operations

  • Creating views and stored procedures

  • Query optimization for large datasets

  • Integration with Python and Excel

Practical Exercise: Analyze customer database from UAE e-commerce platform


Day 4: Business Intelligence and Visualization Tools

Morning Session: Power BI Mastery

  • Power BI Desktop interface and data connectivity

  • Data modeling and relationship management

  • DAX (Data Analysis Expressions) for calculated columns and measures

  • Time intelligence functions for fiscal analysis

  • Row-level security for sensitive business data

Afternoon Session: Advanced Dashboards

  • Interactive visualizations and drill-through capabilities

  • Custom visuals and R/Python integration

  • Publishing to Power BI Service and mobile optimization

  • Scheduling automated data refreshes

  • Creating reports aligned with Saudi Vision 2030 KPIs

Practical Exercise: Develop executive dashboard for GCC manufacturing company


Day 5: Advanced Analytics and Machine Learning

Morning Session: Predictive Analytics

  • Introduction to machine learning concepts

  • Regression analysis for forecasting and trend prediction

  • Classification techniques for customer segmentation

  • Clustering algorithms for market analysis

  • Model evaluation metrics and validation techniques

Afternoon Session: Practical Applications

  • Time series forecasting for financial markets

  • Sentiment analysis for Arabic social media data

  • A/B testing and experimental design

  • Predictive maintenance for oil and gas industry

  • Implementing analytics in cloud platforms (Azure, AWS)

Capstone Project

  • Participants present end-to-end analysis project

  • Real-world case studies from KSA, Oman, and GCC sectors

  • Peer review and instructor feedback

  • Best practices for communicating insights to stakeholders

Final Exercise: Complete capstone project analyzing regional industry data


Course Benefits

Industry-Relevant Skills: Master tools used by leading companies across KSA, UAE, and Oman
Hands-On Learning: 60% practical exercises with real GCC datasets
Career Advancement: Enhance employability in rapidly growing Gulf data economy
Certification: Receive professional certificate upon completion
Networking: Connect with data professionals across the Middle East
Bilingual Support: Course materials available in English and Arabic


Technical Requirements

  • Laptop with Windows 10/11 or macOS

  • Minimum 8GB RAM, 256GB storage

  • Software: Microsoft Excel, Python (Anaconda), Power BI Desktop

  • Internet connectivity for cloud-based exercises


Why This Course Matters for GCC Professionals

The Gulf Cooperation Council economies are rapidly digitalizing, with Saudi Arabia’s Vision 2030, Oman Vision 2040, and UAE’s digital transformation initiatives creating unprecedented demand for data analytics expertise. According to regional market research, data analyst positions across KSA and UAE have grown by over 45% in recent years, with companies seeking professionals who can extract actionable insights from complex datasets.

This course addresses the specific analytical needs of GCC industries including oil and gas, finance, healthcare, retail, and government sectors, providing culturally relevant examples and datasets that reflect regional business environments.


Investment in Your Future

Organizations across Saudi Arabia, Oman, Kuwait, Bahrain, UAE, and Qatar are investing billions in data infrastructure and analytics capabilities. Professionals equipped with these advanced tools and techniques position themselves at the forefront of the region’s digital economy, commanding premium salaries and leadership opportunities.

Enroll today to transform your career and contribute to your organization’s data-driven success in the competitive GCC marketplace.


Keywords: data analysis training KSA, data analytics course Saudi Arabia, business intelligence training Oman, Power BI course GCC, Python data analysis UAE, SQL training Middle East, data science certification Gulf, advanced analytics training Riyadh, data visualization course Dubai, professional development GCC