Machine Learning Models in Power BI

An outline of this training course

Explore the power of predictive analytics in the "Machine Learning Models in Power BI" course. Start with the essentials of data preprocessing, tackle model creation, and learn to use advanced AutoML tools like Pycaret for optimizing regression models. By the end of this course, you'll be skilled in using machine learning to transform data into actionable insights within Power BI. Perfect for anyone looking to boost their analytical skills or leverage Power BI's full capabilities. Join us to take your data analysis to the next level!

What is needed to take this course

Before embarking on this enlightening journey, learners should possess a basic understanding of data analysis concepts and be familiar with Power BI's interface. While prior experience with machine learning isn't mandatory, a foundational grasp of statistical methods will be beneficial.

Additionally, having Power BI and a functional computer setup is essential for hands-on exercises. However, beginners need not be daunted; the course is structured to be intuitive and accommodating for all levels of expertise.

Who is this course for

• Data Analysts: Professionals looking to enhance their analytical toolkit with predictive modeling capabilities within Power BI.
• Business Intelligence Professionals: Those aiming to integrate machine learning insights into their BI reports and dashboards.
• Data Science Enthusiasts: Individuals keen on exploring the intersection of Power BI and machine learning for advanced data analysis.
• Power BI Users: Users familiar with Power BI's basic functionalities and looking to explore deeper into its advanced features.
• Students: Academics in fields like business, statistics, or computer science wanting to apply theoretical knowledge in a practical, industry-relevant tool.
• Decision Makers: Business leaders and managers interested in harnessing predictive analytics to drive informed strategic decisions.

Details of what you will learn from this course

• Understand data preprocessing in Power BI.
• Master model creation and predictions.
• Explore Pycaret's AutoML capabilities.
• Compare and optimize regression models.
• Visualize predictive results effectively.

What you get with the course

• Almost an hour of self-paced video training
• Resource pack
• An assessment

Program Level

Intermediate

Field(s) of Study

Computer Software & App

Instruction Delivery Method

QAS Self-study

***This course was published in September 2023

Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org