Microsoft Power BI

What Will You Learn?

• Understand the fundamentals of Power BI and its user interface.
• Learn how to connect to and import data from various sources like Excel, SQL, and web services.
• Explore Power BI data types and structures, such as tables, columns, and relationships.
• Use the Power Query Editor for data cleaning, transformation, and preparation.
• Implement data modeling by creating relationships, calculated columns, and measures.
• Write DAX (Data Analysis Expressions) formulas to perform advanced calculations.
• Visualize data effectively using Power BI’s variety of chart types, tables, and KPIs.
• Customize reports with filters, slicers, and interactive elements.
• Design dashboards and share reports within your organization or with stakeholders.
• Use Power BI’s built-in AI tools to enhance data analysis and insights.
• Automate report refreshes and manage scheduled data updates.
• Apply best practices for report design to make data insights clear and actionable.
• Troubleshoot common Power BI issues, such as performance optimization and data errors.
• Develop simple Power BI projects to showcase your skills and apply them in real-world scenarios.
• Prepare for Power BI-related job roles with hands-on exercises and practical projects.
• This course will guide you through the key elements of Power BI to become proficient in data visualization and analysis, enabling you to create impactful reports and dashboards.

Material Includes

• 15 hours On-Demand Video
• 51 Articles
• 1 Capstone Project
• Certificate of Achievement post course completion

Requirements

• Basic Computer Skills: Familiarity with using a computer, internet browsing, and file management.
• Microsoft Power BI Desktop: You will need to download and install the free version of Power BI Desktop from the official Microsoft website.
• Ensure your system meets the minimum requirements for Power BI Desktop (Windows 8 or later, 1 GB RAM minimum, 2-core processor or better).
• Access to Data: You will need some basic datasets (e.g., Excel, CSV) to work with. We’ll guide you on how to connect to various data sources.
• Basic Excel Knowledge (optional but helpful): Familiarity with Excel functions and data structures (e.g., tables, pivot tables) will help you grasp data manipulation concepts quicker.
• No Programming Experience Required: This course is beginner-friendly, and you do not need any prior programming knowledge to get started.
• Internet Access: Some sections of the course may involve downloading additional resources or datasets, so internet access is necessary.

Audience

• Business Analysts: Individuals who need to analyze data and create insightful reports for decision-making processes.
• Data Analysts: Professionals who want to deepen their understanding of data modeling, visualization, and reporting using Power BI.
• Managers and Executives: People who need to make data-driven decisions and want to understand how to interpret Power BI reports and dashboards.
• IT Professionals: Those looking to expand their knowledge of business intelligence tools, particularly Power BI, for data management and reporting.
• Finance Professionals: Individuals who require advanced data analysis techniques to generate financial reports and forecasts using Power BI.
• Consultants: Professionals who work with clients to help them transform raw data into valuable insights using Power BI.
• Aspiring Data Scientists: Those interested in enhancing their skills in data manipulation and visualization with Power BI as part of their broader data science toolkit.
• Students and Beginners: Anyone who is new to Power BI and wants to learn how to create powerful visualizations and automate data reporting.
• Small Business Owners: Entrepreneurs who want to leverage data analysis tools like Power BI to make informed business decisions without needing advanced technical skills.
• Project Managers: Individuals who need to manage project data and generate reports for stakeholders using Power BI.
• This course is suitable for anyone looking to build practical Power BI skills, regardless of their prior experience with data analysis or business intelligence tools.