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1. Power BI Course Overview This presentation provides a comprehensive overview of the Power BI course, focusing on the key objectives, prerequisites, and in-depth module descriptions. Designed for individuals aiming to enhance their data analysis and visualization capabilities using Power BI, this course will equip you with essential skills to interpret and present data effectively.

2. Course Objectives Understanding Business Intelligence Gain insights into what Business Intelligence is, its significance in modern business, and how Power BI fits into the BI ecosystem. Report Development Acquire skills to develop interactive reports that enable decision-makers to drill down into data for deeper analysis. Data Visualization Skills Learn how to create impactful visualizations that effectively communicate data insights to stakeholders. Dashboard Creation Discover how to design and implement dashboards that consolidate and represent essential metrics and KPIs visually.

3. Prerequisites for Power BI Training Basic Computer Skills Familiarity with using computers and office productivity tools is necessary to navigate Power BI successfully. 1 2 Understanding of Excel Previous experience with Microsoft Excel will be beneficial, particularly in data manipulation and analysis. 3 Foundational Data Knowledge A general understanding of data concepts, such as databases and data types, will enhance the learning experience.

4. Module 1: Introduction to Power BI Overview of Power BI Introduce Power BI components including Power Query, Power Pivot, and Power View, outlining their roles in data processing and visualization. Getting Started Learn how to download and install Power BI Desktop, and familiarize yourself with the interface and features. Data Sources Explore various data sources available for Power BI, such as Excel files, databases, and cloud services.

5. Module 2: Data Preparation In this module, you will learn essential skills for data preparation in Power BI, covering the processes of importing data, transforming it for analysis, and building effective data models to enhance reporting capabilities. 1 Importing Data Understand how to connect to different data sources and import data into Power BI for analysis. 2 Data Transformation Learn to clean and transform data using Power Query, including filtering, merging, and shaping datasets. 3 Data Modeling Discover how to create relationships between different tables and establish a robust data model for reporting.

6. Module 3: Creating Reports Visualizations Explore various types of visualizations available in Power BI, including charts, maps, and tables, and their optimal use cases. 1 2 Dynamic Filters and Slicers Implement filter options and slicers in reports to allow users to interact with data effectively. 3 Formatting Techniques Learn best practices for formatting reports for clarity and aesthetics, ensuring key insights are highlighted.

7. Module 4: Publishing and Sharing This module covers the essential processes of publishing reports, utilizing collaborative features for teamwork, and ensuring data security and refresh schedules in Power BI. Understanding these components is vital for effective online reporting and data management. Publishing Reports Understand the process of publishing reports to the Power BI Service for online access and sharing. Collaborative Features Explore collaborative tools in Power BI, enabling team members to share insights and work together on data analysis. Data Refresh and Security Learn about scheduling data refreshes for up-to-date reporting and security measures for protecting sensitive information.

8. Conclusion and Next Steps Course Wrap-Up Recap key learnings from the course, reinforcing skills in data preparation, visualization, and reporting using Power BI. Further Learning Opportunities Highlight additional resources and advanced courses available for those interested in deepening their Power BI expertise. Feedback and Questions Encourage participants to provide feedback on the course and ask questions to clarify any remaining doubts.