This training program provides participants with essential knowledge and skills in advanced analytics using Microsoft tools. It empowers them to leverage Microsoft technologies for data analysis, visualization, and actionable insights.
Understand the capabilities of Microsoft tools for advanced analytics.
Perform data analysis using Power BI, Excel, and other Microsoft tools.
Create interactive data visualizations and dashboards.
Apply advanced data modeling and machine learning techniques.
Integrate and automate data workflows.
Data Analysts.
Business Intelligence Professionals.
Data Scientists.
IT Professionals involved in data analysis.
Business Managers seeking data-driven decision-making.
Overview of advanced analytics and its importance.
Introduction to Microsoft analytics tools: Power BI, Excel, Azure.
Data sources and connectivity options.
Data preparation and cleaning techniques.
Key concepts in data analysis and visualization.
Getting started with Power BI Desktop.
Importing and transforming data in Power BI.
Creating and customizing visualizations.
Building interactive reports and dashboards.
Sharing and collaborating on Power BI reports.
Using advanced Excel functions and formulas for data analysis.
PivotTables and PivotCharts for data summarization.
Data visualization techniques in Excel.
Using Power Query and Power Pivot for data modeling.
Integration of Excel with Power BI.
Introduction to machine learning concepts.
Using Azure Machine Learning Studio.
Building and training machine learning models.
Evaluating and deploying predictive models.
Case studies on machine learning applications.
Introduction to Microsoft Power Automate.
Creating automated workflows for data processing.
Integration with other Microsoft tools (Teams, SharePoint, etc.).
Monitoring and managing automated workflows.
Best practices for data workflow automation.
