Course Prerequisites
To ensure that participants can successfully undertake the Power BI Data Analyst with Copilot course and fully benefit from its content, the following prerequisites are recommended:
- Basic Familiarity with Microsoft Excel: Understanding of spreadsheet operations such as sorting, filtering, and simple formulas.
- Introductory Knowledge of Data Concepts: Familiarity with basic concepts of data such as tables, fields, and primary keys.
- Understanding of Business Operations: General awareness of how businesses use data to support decision-making processes.
- Analytical Thinking: Ability to think logically and with an analytical approach to solve problems and connect data patterns.
- Computer Literacy: Comfortable with navigating computer interfaces and using software applications effectively.
These prerequisites ensure that participants are well-prepared to grasp the concepts introduced in the course, enhancing their learning experience and ability to apply the skills acquired.
Target Audience for Power BI Data Analyst with Copilot
This Power BI Data Analyst with Copilot course is designed for professionals aiming to master data visualization and analysis through interactive BI tools.
Target Audience and Job Roles for the Course:
- Data Analysts
- Business Intelligence Professionals
- Report Developers
- Data Engineers (who contribute to reporting)
- BI and Data Science Consultants
- Project Managers (involved in data projects)
- IT Professionals who handle data-driven decision-making processes
- Data-savvy Business Professionals seeking to leverage BI for strategic planning
Learning Objectives - What you will Learn in this Power BI Data Analyst with Copilot?
Introduction to the Course Learning Outcomes
This four-day course empowers participants to effectively analyze, visualize, and manage data using Power BI, incorporating advanced features including Copilot capabilities for enhanced reporting and insights.
Key Learning Objectives and Outcomes
- Understand the Roles and Tasks of a Data Analyst: Gain clarity on what data analysts do and the various roles within data teams.
- Retrieve and Prepare Data from Multiple Sources: Learn how to access and clean data from relational and non-relational data sources to ensure quality analysis.
- Build and Optimize Data Models: Develop skills in designing effective data models using Power BI Desktop, and optimize performance using DAX.
- Create Advanced Calculations with DAX: Master the creation of calculated columns, measures, and leveraging advanced DAX functions for richer data insights.
- Design Impactful Reports and Visuals: Acquire the ability to craft compelling and visually appealing reports that effectively communicate data narratives.
- Implement AI and Advanced Analytics: Utilize Power BI’s AI capabilities and advanced analytics to deepen data exploration and gain predictive insights.
- Manage Power BI Workspaces and Datasets: Learn how to setup, distribute, and manage Power BI workspaces and datasets to streamline workflows and enhance collaboration.
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Target Audience for Power BI Data Analyst with Copilot
This Power BI Data Analyst with Copilot course is designed for professionals aiming to master data visualization and analysis through interactive BI tools.
Target Audience and Job Roles for the Course:
- Data Analysts
- Business Intelligence Professionals
- Report Developers
- Data Engineers (who contribute to reporting)
- BI and Data Science Consultants
- Project Managers (involved in data projects)
- IT Professionals who handle data-driven decision-making processes
- Data-savvy Business Professionals seeking to leverage BI for strategic planning
Learning Objectives - What you will Learn in this Power BI Data Analyst with Copilot?
Introduction to the Course Learning Outcomes
This four-day course empowers participants to effectively analyze, visualize, and manage data using Power BI, incorporating advanced features including Copilot capabilities for enhanced reporting and insights.
Key Learning Objectives and Outcomes
- Understand the Roles and Tasks of a Data Analyst: Gain clarity on what data analysts do and the various roles within data teams.
- Retrieve and Prepare Data from Multiple Sources: Learn how to access and clean data from relational and non-relational data sources to ensure quality analysis.
- Build and Optimize Data Models: Develop skills in designing effective data models using Power BI Desktop, and optimize performance using DAX.
- Create Advanced Calculations with DAX: Master the creation of calculated columns, measures, and leveraging advanced DAX functions for richer data insights.
- Design Impactful Reports and Visuals: Acquire the ability to craft compelling and visually appealing reports that effectively communicate data narratives.
- Implement AI and Advanced Analytics: Utilize Power BI’s AI capabilities and advanced analytics to deepen data exploration and gain predictive insights.
- Manage Power BI Workspaces and Datasets: Learn how to setup, distribute, and manage Power BI workspaces and datasets to streamline workflows and enhance collaboration.
- **
