Data Analytics and Robotic Process Automation (RPA) with Microsoft Technologies
Course Description:
This course offers a comprehensive overview of data analytics and robotic process automation (RPA) using Microsoft technologies. Participants will learn to analyze data using tools like Power BI and Excel, and automate repetitive tasks using Microsoft Power Automate and UI flows. The course covers data visualization, advanced analytics, and RPA techniques to streamline business processes.
Course Objectives:
- Understand the fundamentals of data analytics.
- Learn to use Microsoft Power BI and Excel for data analysis and visualization.
- Gain skills in advanced data analytics techniques.
- Understand the basics of RPA and its applications.
- Develop and deploy RPA solutions using Microsoft Power Automate.
Course Outline:
Module 1: Introduction to Data Analytics
- Overview of Data Analytics
- Importance of Data-Driven Decision Making
- Introduction to Microsoft Power BI and Excel
Module 2: Data Collection and Preparation
- Collecting Data from Various Sources
- Data Cleaning and Transformation
- Using Power Query for Data Preparation
- Data Modeling Basics
Module 3: Data Analysis with Excel
- Advanced Excel Functions for Data Analysis
- Pivot Tables and Pivot Charts
- Using Excel for Descriptive and Inferential Statistics
- Data Analysis Toolpak
Module 4: Data Visualization with Power BI
- Introduction to Power BI
- Creating Reports and Dashboards
- Using Power BI Visualizations
- Sharing and Publishing Power BI Reports
Module 5: Advanced Analytics with Power BI
- DAX (Data Analysis Expressions) for Advanced Calculations
- Time Intelligence Functions
- Using AI Insights in Power BI
- Power BI Service and Power BI Pro
Module 6: Introduction to Robotic Process Automation (RPA)
- Overview of RPA Concepts and Benefits
- Introduction to Microsoft Power Automate
- Understanding UI Flows and Desktop Flows
- RPA Use Cases and Examples
Module 7: Building RPA Solutions with Power Automate
- Creating Automated Workflows
- Using Triggers and Actions
- Integrating Power Automate with Other Microsoft Tools
- Managing and Monitoring Flows
Module 8: Advanced RPA Techniques
- Designing Complex Workflows
- Using AI Builder for Intelligent Automation
- Error Handling and Debugging in Power Automate
- Best Practices for RPA Implementation
Module 9: Integrating Data Analytics and RPA
- Combining Power BI and Power Automate
- Automating Data Refresh and Report Distribution
- Using RPA for Data Collection and Preparation
- Real-World Scenarios and Examples
Module 10: Security and Compliance in Data Analytics and RPA
- Ensuring Data Security and Privacy
- Compliance with Industry Standards and Regulations
- Implementing Security Measures in Power BI and Power Automate
- Auditing and Monitoring
Module 11: Best Practices and Performance Optimization
- Best Practices for Data Analytics
- Optimizing Power BI Performance
- Best Practices for RPA Development
- Continuous Improvement and Monitoring
Module 12: Capstone Project and Future Trends
- Real-World Case Studies in Data Analytics and RPA
- Final Project: Develop an Integrated Data Analytics and RPA Solution
- Presentation and Review of Projects
- Exploring Advanced Topics and Emerging Trends
Course Duration:
- Total Duration: 12 Weeks
- Weekly Commitment: 6-8 hours
Prerequisites:
- Basic understanding of data analysis concepts
- Familiarity with Excel and basic data manipulation
- Basic knowledge of automation concepts is a plus
Learning Resources:
- Official Microsoft Documentation
- Power BI and Power Automate Tools
- Community forums and online tutorials
Assessment and Certification:
- Weekly quizzes and practical assignments
- Final project: Develop an integrated data analytics and RPA solution using Power BI and Power Automate
- Certificate of Completion upon successfully meeting course requirements
This course is designed for data analysts, business analysts, and IT professionals looking to enhance their skills in data analytics and robotic process automation using Microsoft technologies.