Coursera

Power BI for Data Science and Analytics (Coursera)

Offered by Edureka,
Power BI for Data Science and Analytics (Coursera)

Welcome to the Power BI for Data Science and Analytics Course. This course helps learners become proficient in utilizing the Power BI tool for data analytics. Leverage important Power BI features to extract more valuable insights from data and visuals. Centralize your data with the help of dataflows for modeling data that can also be used for text and image analytics.

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By the end of this course, you’ll be able to:

  1. Gain proficiency in utilizing the Power BI tool for effective data analytics
  2. Develop skills in creating insightful visualizations to convey meaningful information
  3. Comprehend the use of AI features in Power BI to extract valuable insights from data and visuals
  4. Demonstrate the ability to centralize data using dataflows for modeling
  5. Evaluate the effectiveness of AI features in enhancing data insights within the Power BI environment.
  6. Design Scorecards to display KPIs and other important metrics in a concise and understandable format.

This course is designed for Data Analysts, Business Intelligence Developers, and Business Analysts seeking to enhance their analytical and design skills.
Prior experience with MS Excel, Python, and Power BI operations is beneficial but not essential for this course.
Join us on this journey to elevate your Power BI analytical skills and design capabilities.
This course is part of the Mastering Power BI for Data Analytics & Storytelling Specialization.

What you'll learn
Analyzing Data by using the AI analytical features offered by Power BI

Syllabus

Data Science and AI with Power BI
In this module, you will be able to set an environment for analyzing datasets to apply various algorithms in Power BI. Gain a basic understanding of the importance of Data Science and Analytics. Construct AI-related results on the data to visualize important metrics that deal with anomaly detection, QnA etc.

Dataflows and AI Analytics
In the second week of this course, You will be able to construct dataflows to prepare, transform, and centralize data for consistent and reusable reporting . Manage data such that AI features can be utilized effectively on the designed dataset.

Advanced Cognitive Analytics
In the third week of this course, we'll learn about techniques offered by Power BI to analyze text and images to gain insights from the data. Focus on using M Functions to model data according to user preference.

Course Wrap-Up and Assessment
This module is designed to assess an individual on the various concepts and teachings covered in this course. Answer a comprehensive quiz which marks you as a learner who is confident in working with Power BI.

Go to Class
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