This course equips technically strong professionals with advanced, business‑ready data analytics capabilities using Excel, Power BI, and SQL. Participants learn to build automated data workflows, design enterprise‑grade dashboards, apply analytical thinking to real business problems, and create portfolio‑ready projects that demonstrate their readiness for higher‑level analytical roles.
This intensive course equips professionals with practical, business-ready data analytics skills using Excel, Power BI, and SQL. Participants learn to build automated data workflows, design professional dashboards, and transform raw data into actionable business insights. The program is hands-on and project-driven, culminating in a portfolio-ready analytics solution.
Advanced data analytics enables teams to transform data into actionable insights that support smarter and faster business decisions. By leveraging tools like Excel, SQL, and Power BI, teams can improve efficiency, automate workflows, and drive measurable impact.
Stronger strategy using data-driven forecasting
This course is designed for:
• Translating business questions into analytical workflows
• Structuring datasets for accuracy and scalability
• Understanding data types, data quality, and analytical readiness
• Modern lookups: XLOOKUP, XMATCH, INDEX‑MATCH
• Conditional logic: IF, IFS, SWITCH
• Aggregation functions: SUMIFS, COUNTIFS, AVERAGEIFS
• Text/data cleaning: TEXTSPLIT, TEXTAFTER, TRIM, CLEAN
• Dynamic arrays: FILTER, UNIQUE, SORT, SEQUENCE
• Multi‑layered pivot tables for deep insights
• Calculated fields and items
• Grouping strategies (dates, bins, categories)
• Pivot charts and slicers for interactive reporting
• Scenario planning and sensitivity analysis
• KPI engines and reusable calculation blocks
• Structured models for finance, operations, marketing
A polished Excel workbook demonstrating advanced formulas, pivot‑based analytics, and a structured KPI model.
• Building repeatable data pipelines
• Merging, appending, shaping, unpivoting
• Data cleaning and transformation best practices
• Parameterized queries and automation patterns
• Practical M‑language understanding
• Star schema design and relationship management
• Import vs. DirectQuery
• Dataflows and shared datasets
• Performance optimization
• Core DAX patterns: CALCULATE, FILTER, ALL, VALUES
• Time intelligence: YTD, MTD, rolling averages, YoY
• KPI frameworks and metric layers
• Debugging DAX and avoiding common pitfalls
• Designing dashboards that answer business questions
• Choosing visuals that drive decisions
• Advanced features: bookmarks, drill‑through, tooltips, field parameters
• Dashboard navigation and UX design
A professional Power BI dashboard with automated Power Query pipelines, a clean semantic model, and DAX‑driven KPIs.
• Querying real business datasets
• Window functions, CTEs, grouping sets
• Data cleaning with SQL: deduplication, missing values
• Join strategies and performance considerations
• Writing SQL that feeds Excel/Power BI models
• SQL → Power Query → Power BI/Excel integration
• Designing repeatable analytics pipelines
• When to use SQL vs. Power Query vs. Excel vs. DAX
• Building unified semantic layers
We redefine Training by focusing on practical skills and real-world relevance. Here’s why we stand out as your ideal partner in professional development:
Participants will receive a prestigious certificate upon completion.
A testament to your skills and dedication.
Attendance certificates are attested by KHDA. Recognized across the UAE for professional development.
