Microsoft Power BI
Microsoft Power BI
A Microsoft Power BI course aims to equip you with the skills and knowledge to effectively use Power BI for data analysis, visualization, and business intelligence. It takes you from understanding the fundamentals of Power BI to building interactive reports and dashboards that provide actionable insights. The level of the course can vary, from introductory courses for beginners to advanced courses covering more complex topics.
Overview
This course will discuss the various methods and best practices that are in line with business and technical requirements for modelling, visualizing, and analysing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
Course Objective
Upon Successful of this course, you will be able to:
- Ingest, clean, and transform data.
- Model data for performance and scalability.
- Design and create report for data analysis.
- Apply and perform advanced report analytics.
- Manage and share report assets.
- Create paginated reports in Power BI.
Who Should Attend
The audience for this course is data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Prerequisites
Successful Data Analysts start this role with experience of working with data in the cloud. Specifically: Understanding core data concepts., Knowledge of working with relational data in the cloud., Knowledge of working with non-relational data in the cloud., Knowledge of data analysis and visualization concepts.
Training Calendar
Intake
Duration
Program Fees
Module
Module 1 - Get Started with Microsoft Data Analytics
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.
Module 2 - Prepare Data in Power BI
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it.
Module 3 - Clean, Transform, and Load Data in Power BI
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.
Module 4 - Design a Data Model in Power BI
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modelling issues, including relationships, security, and performance.
Module 5 - Create Model Calculations using DAX in Power BI
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problem.
Module 6 - Optimize Model Performance in Power BI
In this module you are introduced to steps, processes, concepts, and data modelling best practices necessary to optimize a data model for enterprise-level performance.
Module 7 - Create Reports in Power BI
This module introduces you to the fundamental concepts and principles of designing and building a report in Power BI.
FAQs
General Questions:
- Q: What is Microsoft Power BI?
- A: Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an easy-to-use interface. It empowers users to connect to various data sources, transform and model data, and create interactive reports and dashboards.
- A: Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an easy-to-use interface. It empowers users to connect to various data sources, transform and model data, and create interactive reports and dashboards.
Q: What is this course about?
A: This course teaches you how to use Microsoft Power BI to analyze data, create visualizations, and build interactive reports and dashboards to gain insights and make data-driven decisions.
Q: Who is this course for?
A: This course is designed for anyone who works with data and needs to analyze and visualize it, including business analysts, data analysts, IT professionals, managers, and anyone who wants to improve their data skills.
Q: What are the prerequisites for this course?
A: Some basic familiarity with data and spreadsheets is helpful, but no advanced technical skills are usually required. Specific prerequisites might be listed by the training provider.
Q: What software do I need?
A: You’ll need access to Microsoft Power BI Desktop (a free download) and potentially access to the Power BI Service (cloud), depending on the course content.
Q: How is the course structured?
A: The course structure varies depending on the provider. It might consist of in-person workshops, live online sessions, self-paced online modules, or a combination. Check the course details.
Q: How long is the course?
A: The duration varies depending on the scope and format. It can range from a few days to several weeks. Check the course details.
Q: Will I receive a certificate upon completion?
Yes
Program Content & Skills:
Q: What specific topics are covered in the course?
A: Typical topics include connecting to data sources, data transformation with Power Query, data modeling, creating visualizations, designing reports and dashboards, using DAX, publishing to the Power BI Service, and potentially advanced topics like Power BI Embedded or report server. Check the syllabus for a detailed list.
Q: Will I learn DAX in this course?
A: Many Power BI courses cover DAX (Data Analysis Expressions), the formula language, to some extent. The level of DAX coverage will vary depending on the course level (beginner, intermediate, advanced).
Q: Will I learn how to use Power Query?
A: Yes, Power Query is a crucial part of Power BI, and you’ll learn how to use it for data transformation and cleaning.
Q: Will I learn how to create interactive dashboards?
A: Absolutely! Creating interactive dashboards is a core skill taught in Power BI courses.
Q: Will I work on real-world examples and projects?
A: A good Power BI course will include hands-on exercises and real-world case studies to reinforce learning and make the skills applicable to your work.
Technical & Practical Questions:
Q: What if I have trouble with the software or course materials?
A: PEOPLElogy provide support through instructors, online forums, or technical assistance. Check with your training provider for their support policy.
Q: What if I miss a class? (For in-person or live online courses)
A: The policy for missed classes varies. Some providers may offer recordings or make-up sessions. Check with your instructor or training provider.
Q: What kind of computer do I need?
A: You’ll need a computer that can run Power BI Desktop. Check the Power BI system requirements on the Microsoft website.
Q: How much practice time is required outside of class?
A: Practice is essential for mastering Power BI. Plan to dedicate some time outside of class to work on exercises and build your own reports and dashboards.
Q: Will I be able to apply these skills in my job?
A: Yes! Power BI skills are highly valuable and applicable to a wide range of roles that involve working with and analyzing data.
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