Power BI Masterclass 8 -Python, Finance, and Advanced DAX

Microsoft Power BI is a powerful business analytics/data visualization tool that enables users to connect to various data sources, create interactive reports and dashboards, and gain insights from the data. With its intuitive interface and robust features, Power BI empowers users to make data-driven decisions and effectively communicate information with stakeholders.

The course begins with setting up the Python environment for Power BI and then dives into using Python for data visualization in Power BI. It covers advanced DAX expressions and calculations, exploring a business dataset. You will also learn how to leverage Python libraries for data science in Power BI and create a balance sheet structure. The course includes applying custom visuals and culminates in creating a final dashboard. However, the Python concepts covered in this course cannot be considered comprehensive, only content related to Power BI usage requirements.

Upon completing the course, you will gain advanced knowledge and skills in using Power BI for data visualization, analysis, and science. You will be proficient in setting up the Python environment in Power BI, leveraging Python for data visualization, and applying advanced DAX expressions and calculations, enabling you to effectively analyze/present data in various business scenarios.

Type
video
Category
publication date
2023-07-20
what you will learn

Learn to integrate Python for data visualization in Power BI
Master advanced DAX expressions and calculations
Apply custom visuals to enhance your reporting capabilities
Create balance sheet structures and evaluate balances using DAX
Utilize Python’s data science libraries for analysis in Power BI
Build a comprehensive dashboard for effective data presentation

duration
211
key features
Learn data visualization, advanced DAX expression, Python integration, and custom visuals in Power BI * Focus on hands-on learning to apply real-world scenario concepts and work with relevant datasets * Explore stock quotes/balance sheets, providing practical knowledge for finance-related analytics
approach
The course takes a practical, hands-on approach to learning Power BI. You will actively engage with the software, work with relevant datasets, and apply concepts in real-world scenarios. The content is structured to progressively build your skills from basics to advanced topics to have a solid understanding of Power BI and confidently use it for data visualization and analysis.
audience
This course suits those interested in combining Power BI and Python and anyone wanting to explore Microsoft Power BI. If you want to excel in your work, explore new data analytics career opportunities, or lay the foundation for a successful future in the data era, this course equips you with the necessary skills. It also appeals to individuals seeking a better tool than QlikView and IBM Cognos. Prerequisites include Power BI, free to download with no additional costs, and a willingness to learn and explore new opportunities; all necessary files and materials will be provided.
meta description
The Power BI masterclass offers comprehensive training on Power BI, covering data visualization, DAX calculations, Python integration, advanced techniques, and preparing you for a successful career in data analytics/data science
short description
This comprehensive training program covers many concepts in Microsoft Power BI. From beginner to advanced levels, learn data visualization, advanced DAX expression, Python integration, custom visuals, data preparation, and collaboration in Power BI service. Develop expertise in Power BI and position yourself for a successful career in data analytics.
subtitle
Learn Power BI comprehensively and become a data analyst with finance and advanced DAX with Python
keywords
Power BI training, Data visualization, Advanced DAX calculations, Python integration in business analytics, Data science for Power BI, Business intelligence certification, Power BI dashboard design, Data analytics, Power BI reporting, Data-driven decision making
Product ISBN
9781835085400