Power BI for Data Science and Analytics

Edureka via Coursera

Coursera based on 0 ratings

Likes

Overview

Welcome to the Power BI for Data Science and Analytics Course. This courses 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 of dataflows for modeling data that can also be used for text and image analytics. By the end of this course, youll be able to: 1. Gain proficiency in utilizing the Power BI tool for effective...

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.