Power BI Essentials: From Data to Dashboard (2024) | Udemy


Power BI Essentials: From Data to Dashboard (2024) | Udemy [Update 04/2024]
English | Size: 7.5 GB
Genre: eLearning

Discover the fundamentals of Power BI through hands-on analysis and dashboard creation with best in class Instructor

What you’ll learn
Master Power BI setup, interface navigation, and connect to various data sources for comprehensive data analysis
Apply data cleaning and transformation techniques to real-world datasets, enhancing data quality and usability
Design and create impactful data visualizations and dashboards that convey meaningful insights from complex datasets
Utilize DAX for advanced data analysis and leverage Power BI’s AI capabilities to enrich reports and dashboards

This course is designed to take you from a beginner to proficient in navigating the powerful landscape of Power BI. This comprehensive course is meticulously crafted to provide you with an indepth understanding of Power BI’s capabilities, from raw data ingestion to the creation of visually compelling dashboards.

Why Enroll in This Course?

  1. Master the Basics and Beyond: Start with understanding what Power BI is, its installation, and familiarizing yourself with the Power BI Desktop interface. This course lays a solid foundation before propelling you into the more complex functionalities of Power BI.
  2. Connect and Transform Data: Learn how to connect to various data sources, including Excel and CSV files. Dive into data cleaning and transformation using practical examples, such as the Star Cookie Sales and Customer Dataset, preparing you to handle realworld data analysis tasks.
  3. Data Modeling Made Easy: Discover the art of importing and establishing relationships between datasets. Engage in handson challenges that teach you to merge data from different sources, including web and Excel, for comprehensive analysis.
  4. Visualize and Analyze: Gain proficiency in creating reports with Power BI’s Report Editor. Explore a wide array of visualizations—from bar and scatter charts to complex treemaps and funnels—to tell compelling data stories. Each visualization technique is accompanied by guided exercises, such as the Aster Plot challenge, ensuring you apply what you learn.
  5. Unlock Insights with DAX: Delve into Data Analysis Expressions (DAX) for creating new measures and advanced data calculations. This crucial skill set allows you to unearth deeper insights from your data.
  6. Incorporate AI: Leverage Power BI’s AI capabilities to enhance your data analysis, making your reports and dashboards more intelligent and insightful.
  7. Build Impactful Dashboards: Put your skills to the test by creating dashboards for varied scenarios like Customer Complaints, Online Streaming Platforms, and even a Covid19 dashboard. This culminates your learning experience, equipping you with the ability to present data in an informative and engaging manner.

Who Should Enroll?

This course is ideal for anyone looking to harness the power of data visualization and analytics. Whether you are a business analyst, data enthusiast, or a professional looking to upgrade your skills, this course offers a pathway to mastering Power BI.

Why This Course?

Under the guidance of a best in class instructor, you will not only learn the theoretical aspects of Power BI but also apply these concepts through handson projects and assignments. By the end of this course, you will have the confidence to transform raw data into interactive and actionable dashboards.

Enroll now and start your journey towards becoming a Power BI expert. Unlock the full potential of your data and make informed decisions that propel your career or business forward.

Who this course is for:

  • Aspiring Data Analysts: Beginners looking to enter the field of data analysis with a strong foundation in Power BI
  • Data Enthusiasts: Anyone with a keen interest in data, analytics, and visualization, eager to explore Power BI’s capabilities
  • Any University or college students studying business, finance, IT, or related fields, looking to enhance their data analysis skills
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