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Advanced Analytics with Microsoft Tools
Advanced Analytics with Microsoft Tools: Data Insights and Intelligent Decision-Making
course :
Data Management and Business Intelligence
Course Overview
This program provides a structured and applied approach to advanced analytics using Microsoft technologies. Participants will develop the capability to analyze, model, visualize, and automate data-driven insights using tools such as Power BI, Excel, Azure Machine Learning, and Power Automate. The course emphasizes analytical rigor, integration across Microsoft platforms, and translating data into actionable business intelligence.
Course Objectives
By the End of this Course, Participants will be able to:
- Understand the analytical capabilities of Microsoft’s advanced analytics ecosystem.
- Perform structured data analysis using Power BI, Excel, and Azure tools.
- Design interactive dashboards and visual analytics solutions.
- Apply predictive analytics and machine learning techniques.
- Integrate and automate end-to-end data workflows across Microsoft platforms.
Course Audience
- Data Analysts
- Business Intelligence Professionals
- Data Scientists
- IT Professionals involved in analytics and reporting
- Business Managers seeking data-driven decision support
Course Methodology
The program combines instructor-led lectures, guided demonstrations, hands-on labs, applied case studies, and analytical exercises. Participants will work with real datasets, build dashboards, develop predictive models, and design automated data workflows aligned with organizational reporting and decision-making needs.
Course Outline
Day One: Introduction to Advanced Analytics with Microsoft Tools
- Overview of advanced analytics and its strategic importance.
- Microsoft analytics ecosystem: Power BI, Excel, Azure Analytics.
- Data sources, connectivity options, and integration models.
- Data preparation, cleansing, and transformation techniques.
- Core principles of analytical modeling and visualization.
Day Two: Data Analysis and Visualization with Power BI
- Power BI Desktop architecture and workspace setup.
- Importing, transforming, and modeling data using Power Query.
- Designing and customizing visualizations.
- Building interactive reports and dashboards.
- Publishing, sharing, and collaboration using Power BI Service.
Day Three: Advanced Excel for Analytical Modeling
- Advanced Excel formulas and functions for data analysis.
- PivotTables and PivotCharts for multi-dimensional analysis.
- Data visualization and analytical reporting in Excel.
- Power Query and Power Pivot for data modeling.
- Integrating Excel analytics with Power BI dashboards.
Day Four: Machine Learning and Predictive Analytics with Microsoft Azure
- Introduction to machine learning concepts and use cases.
- Overview of Azure Machine Learning Studio.
- Building, training, and validating predictive models.
- Model evaluation, interpretation, and deployment concepts.
- Case studies demonstrating predictive analytics applications.
Day Five: Automating and Integrating Data Workflows
- Introduction to Microsoft Power Automate and workflow automation.
- Designing automated data pipelines and reporting workflows.
- Integration with Microsoft Teams, SharePoint, and cloud services.
- Monitoring, managing, and optimizing automated workflows.
- Best practices for scalable and secure analytics automation.
- Capstone exercise: Designing an integrated analytics and automation solution.
Certificates
Participants who successfully attend and complete the course will receive A Certificate of Completion issued by HighPoint Center (HPC).
Training Schedule and Fees
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