Power BI for Data Science and Analytics

Overview

Welcome to Power BI for Data Science and Analytics. This course is designed to help you develop practical skills in data analytics using Power BI, a leading business intelligence platform. You will learn to use key Power BI features to extract and visualize insights from your data, making it easier to share findings and drive decisions. By the end of this course, you’ll be able to: - Use Power BI effectively for data analytics from connecting to data sources to building interactive reports and dashboards. - Create insightful visualizations that communicate important trends and patterns clearly to your team or stakeholders. - Apply AI features in Power BI such as natural language queries, anomaly detection, and cognitive services—to uncover deeper insights from your data. - Centralize and model data with dataflows, enabling reusable, efficient reporting for both text and image analytics. - Evaluate the impact of AI features on your analysis, so you can select the right tools for your projects. - Design scorecards to track KPIs and performance metrics in a format that’s easy to understand and act upon. This course is built for Data Analysts, Business Intelligence Developers, and Business Analysts looking to strengthen their analytical and reporting skills using Power BI. Some familiarity with MS Excel, Python, or Power BI is helpful, but not required, you willl gain hands-on experience with practical assignments and real-world scenarios. Join us on this journey to elevate your Power BI analytical skills and design capabilities.

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.