Advanced Data Analytics Course
This advanced data analytics course helps technically strong professionals build advanced, business-ready data analytics skills 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.
Highlights
- Delivered by an Internationally Acclaimed Trainer with Proven Expertise.
- 3-Day Practical Workshop – data analytics capabilities using Excel, Power BI, and SQL.
- Designed for Working Professionals – Analysts, engineers, consultants, and business professionals with strong technical aptitude.
- Hands-On, Case-Based Format – Participants learn to build automated data workflows
Course overview
Course details
- location
- Dubai
- duration
- 3 days
- language
- English
- courseLevel
- Advanced Level
- certification
- Upon successful completion of the course.
- courseType
- Classroom
- corporateGroupRates
- Corporate Group Rates Available
- publicBatch
- Public Batch Schedule & Fees Available
Why Advanced Data Analytics Matter for Teams
- Faster decisions through real-time insights
- Improved efficiency by identifying bottlenecks
- Automated reporting reduces manual work
- Better collaboration with shared KPIs and dashboards
- Stronger strategy using data-driven forecasting
Who should enroll
- Analysts, engineers, consultants, and business professionals with strong technical aptitude.
- Individuals looking to transition into data analytics or business intelligence roles.
- Professionals aiming to enhance their analytical toolkit for career advancement.
- Teams or individuals who want to build portfolio‑ready analytics projects.
Training Structure
DAY 1 — Advanced Excel for High Impact Business Analytics
Module 1: Advanced Analytical Thinking in Excel
- Translating business questions into analytical workflows
- Structuring datasets for accuracy and scalability
- Understanding data types, data quality, and analytical readiness
Module 2: Mastering Advanced Excel Functions
- 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
Module 3: Pivot Table Power Skills
- Multi‑layered pivot tables for deep insights
- Calculated fields and items
- Grouping strategies (dates, bins, categories)
- Pivot charts and slicers for interactive reporting
Module 4: Excel for Business Modeling
- Scenario planning and sensitivity analysis
- KPI engines and reusable calculation blocks
- Structured models for finance, operations, marketing
Portfolio Output (Day 1): A polished Excel workbook demonstrating advanced formulas, pivot‑based analytics, and a structured KPI model.
DAY 2 — Power BI + Power Query for Enterprise Level Analytics
Module 5: Power Query for ETL Automation
- Building repeatable data pipelines
- Merging, appending, shaping, unpivoting
- Data cleaning and transformation best practices
- Parameterized queries and automation patterns
- Practical M‑language understanding
Module 6: Power BI Data Modeling
- Star schema design and relationship management
- Import vs. DirectQuery
- Dataflows and shared datasets
- Performance optimization
Module 7: DAX for Business Intelligence
- 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
Module 8: Visual Analytics & Storytelling
- Designing dashboards that answer business questions
- Choosing visuals that drive decisions
- Advanced features: bookmarks, drill‑through, tooltips, field parameters
- Dashboard navigation and UX design
Portfolio Output (Day 2): A professional Power BI dashboard with automated Power Query pipelines, a clean semantic model, and DAX‑driven KPIs.
DAY 3 — SQL + Integrated Analytics + Capstone
Module 9: SQL for Analysts (Practical, Business Focused)
- 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
Module 10: End to End Analytics Workflow
- 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
Meet your trainer
Dhanwanti Moolchandani
Microsoft Certified Data Analytics and Business Intelligence Specialist
Why study with Train Point
Tailored Courses
We offer specialized training designed for both beginners and experienced professionals, addressing diverse career goals.
Commitment to Success
We are dedicated to your growth, providing ongoing support and resources to help you achieve your professional aspirations.
Hands-On Learning
Our courses blend theory with practical application, ensuring you gain skills you can use immediately.
Industry Expertise
Learn from seasoned professionals who bring real-world insights, equipping you with the knowledge needed to thrive.
Certifications
TrainPoint Certificate
A testament to your skills and dedication.
Certificate of Completion
Attendance certificates are attested by KHDA. Recognized across the UAE for professional development.