Elevate Your Data Analysis Skills with Advanced Power BI Techniques

Enroll in this Free Udemy Course on Advanced Power BI Analytics and boost your data skills today!

In this Advanced Analytics with Power BI course, you will take your Power BI Desktop skills to new heights. Through 12 practical canvases, you’ll master advanced data analysis techniques that will enable you to conduct variance analyses, detect anomalies, and segment your information efficiently. From bivariate segmentation to creating ‘What If’ scenario simulators, this course is designed to empower you to leverage Power BI Desktop for deriving valuable insights and making data-driven strategic decisions.

You will learn to identify key factors influencing your business, create advanced visualizations, and optimize your analyses—all within the intuitive environment of Power BI. With practical examples and real case studies, this course equips you with the essential tools to become an expert in advanced analytics and maximize the potential of Power BI Desktop.

By the end of the course, you will be able to apply bivariate and multivariate segmentation techniques, detect anomalies, perform variance analyses, analyze key influencers using numerical and categorical variables, and create ‘What If’ scenarios to anticipate outcomes. This course is ideal for data analysts, data scientists, and business intelligence professionals looking to expand their knowledge and skills in Power BI Desktop. Enroll now and take your data analysis to new heights!

What you will learn:

  • Analítica avanzada
  • Detección de anomalías
  • Pronósticos
  • Modelar escenarios WHAT – IF
  • Explicar variaciones anuales, mensuales o diarias con validación estadística

Course Content:

  • Sections: 12
  • Lectures: 23
  • Duration: 4h 10m

Requirements:

  • Power BI

Who is it for?

  • Analistas de datos que utilizan Power BI y modelado estadístico

Únete a los canales de CuponesdeCursos.com:

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Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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