Requirements

• No prior experience with Power BI required.
• Basic understanding of data handling is helpful.
• Access to a computer with internet connection.
• Power BI Desktop installed (free download from Microsoft).

Description

Dive deep into the world of data with our comprehensive course, "Power BI Mastery: Zero to Hero Data Skills". This meticulously crafted course is tailored for beginners and intermediate users looking to harness the full potential of Power BI for business intelligence and data analysis. Over the span of our modules, you will start with the fundamentals, learning what Power BI is and how it functions. Quickly move from basic concepts to mastering sophisticated data visualization techniques including column charts, maps, and advanced charts like Sankey diagrams and animated bar races.

Beyond visuals, the course covers essential Power BI services, teaching you to create and publish comprehensive reports, manage dashboards, and share insights across teams with ease. We also delve deep into Power Query, where you will master text, date, and number functions essential for data manipulation.

Practical, real-world applications are central to the learning experience. Engage in projects such as an HR Data Analytics Project to apply what you've learned in a meaningful way. By the end of this course, you will not only understand Power BI inside out but also be able to make informed decisions using your data, present findings effectively, and advance your career in data science or any data-driven field. Join us to transform raw data into compelling stories with Power BI!

Who this course is for:

• Beginners in Data Science: Ideal for those starting their journey in data analytics.
• Business Analysts: Professionals seeking to enhance their data visualization skills.
• Project Managers: Managers needing to visualize and report on project data effectively.
• Marketing Professionals: Marketers who want to leverage data for strategic decisions.
• Small Business Owners: Owners needing to analyze business data without heavy IT support
• Students in Business or IT: Academics aiming to bolster their data handling capabilities.