75-hour intensive Data Analytics training program
Globally recognised Data Science certification
Copilot & Automation Sandbox system exposure
Flexible on-site & live virtual options
Monthly instalment payment plans
What our training includes
Upcoming sessions
Python basics
Pandas and NumPy
Data manipulation
Visualization libraries
Analysis workflows
Generate Python scripts and debug code
Descriptive statistics
Inferential statistics
Hypothesis testing
Regression analysis
Business applications
Generate statistical interpretations
ML concepts
Supervised vs unsupervised learning
Model building
Evaluation metrics
Applications
Suggest algorithms and model logic
AI vs ML
Predictive analytics
Automation
AI applications
Business use cases
Generate AI use cases and workflows
Time-series analysis
Forecasting models
Trend analysis
Demand prediction
Business forecasting
Generate forecasting insights
Data storytelling
Visualization best practices
Communication techniques
Business presentations
Stakeholder reporting
Generate summaries and narratives
Participants will build and present a comprehensive data analytics solution using Excel, SQL, Python, and Power BI to
The Automation Sandbox enables participants to apply the knowledge gained during the training to their own professional responsibilities and everyday work processes.
This activity encourages participants to examine their existing workflows and consider how the concepts learned in the program can be used to improve efficiency, streamline tasks, and support better operational outcomes.
Through guided exercises, participants will review and analyze their current workflows, identifying opportunities for improvement through clearer structuring, simplification, and logical sequencing of tasks. They will then translate their process expertise into well-defined workflow structures that outline key steps, decision points, and expected results.
These structured workflows are designed to be easily understood by technical automation teams, enabling effective implementation while bridging the gap between operational process knowledge and technical automation development.
Successful completion of our training will help professionals in the following ways:
1
Describe the analytics lifecycle and connect business goals to measurable metrics and data requirements
2
Prepare dependable datasets using cleaning, transformation, and normalisation methods for accurate analysis
3
Design clear dashboards and present insights using effective visualisation and data storytelling practices
4
Apply statistical thinking with hypothesis testing, p-values, and regression to support evidence-based decisions
5
Use foundational machine learning, AI applications, and time series forecasting concepts for prediction and planning scenarios
Overall ratings by our students
Our Data Analytics and Data Science course in Saudi Arabia covers the full analytics workflow used in organizations. It includes Excel-based dataset analysis, data exploration and preprocessing, Power BI dashboards and data storytelling, and SQL for extracting and summarising data.
Learners also study Python fundamentals for analysis, statistics and hypothesis testing with regression, machine learning fundamentals, AI applications in business analytics, and time series forecasting. We end this training with an industry simulation presentation.
This training is ideal if you rely on Excel for reporting and want a stronger analytics workflow. You learn data cleaning and preprocessing, Power BI dashboards and storytelling, SQL for extraction and summarisation, and Python-based analysis, then progress into statistics, regression, machine learning fundamentals, and forecasting.
It suits early-career analysts, business professionals, reporting specialists, and individuals planning to transition into business intelligence or entry-level data science roles in Saudi Arabia.
Excel is where many analytics workflows start. In this Data Analytics and Data Science certification in Saudi Arabia, the focus goes beyond basic formulas by training you to analyse real datasets, validate data quality, and clean messy records using structured preprocessing techniques. You learn how to spot missing values, handle outliers, and prepare analysis-ready data so your insights stay accurate and business-relevant.
This foundation builds confidence with real-world data, so when you progress into SQL, Power BI, and Python, you approach problems with an analyst mindset, not just a reporting habit.
Copilot integration and the Automation Sandbox make this course more practical, job-relevant, and application-focused for professionals in Saudi Arabia. Throughout the program, participants use Copilot to support tasks such as summarising datasets, generating draft SQL and Python queries, explaining analytical steps, identifying patterns, suggesting dashboard structures, and refining business presentations.
The Automation Sandbox adds further value by helping participants connect what they learn to their own workplace responsibilities. Through guided exercises, they examine existing workflows, identify areas for improvement, and organise tasks in a clearer, more automation-ready format.
Our training stands out because we provide you with:
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