Modern business is focused on data analysis for decision making. Microsoft Power BI is a powerful analytical tool that allows working with data not only for professional analysts who can create complex data models and reports, but also for ordinary employees.
In many companies, data models are created by analysts, and users use them to make decisions. There is often a need for quick access to reports and flexible analysis without the involvement of technical specialists, so it is important that users can independently explore the data that analysts have previously prepared and independently create new reports (or customize existing ones) to suit their needs. This approach is called Self-Service BI (self-service analytics).
The training is designed to help establish this process so that users can work with analytics conveniently and effectively.
During the training, we use ready-made data models (simple, single -table) and learn to create reports and dashboards using the Power BI cloud service, working in the browser. Thus, training participants do not need to delve into the technical aspects of creating data models, the main thing they need to learn is to use ready-made data.
This data visualization training is a great solution for companies that want to make data accessible to their employees and improve their efficiency in working with it.
After completing this course, students will be able to:
Easy to navigate Power BI environment
Flexibly adapt existing reports to your needs
Create your own reports and dashboards based on prepared data
Power BI service to analyze and present data
Work with data individually and collaboratively with colleagues
Develop Self-Service BI skills: Our course helps participants become more independent and confident in working with data
Audience Profile
The course is designed for anyone who wants to learn how to visualize data using Power BI. It will be useful for specialists in various fields who work with analytics and make decisions based on data, even if they do not have deep technical knowledge.
Who is this course for:
- For managers and department heads for operational analysis of indicators and decision-making without involving technical specialists
- For financiers and economists – to work with prepared reports and quickly adapt them to their analytical needs
- Marketers and sales specialists – to track market dynamics, campaign effectiveness and KPIs
- For operational specialists – to control business processes based on up-to-date data
- For HR specialists – to analyze personnel indicators, staff turnover, training effectiveness
- For all employees working with analytics - for quick access to the necessary data and creating their own reports without involving IT specialists
Before attending this course, students must have:
- Basic understanding of working with data - ability to work with tables, filters and simple formulas
- Experience working in Excel or other spreadsheets - understanding of the principles of data structure, sorting and filtering
- Browser and cloud skills as Power BI is used online
- Analytical thinking is the ability to interpret data and draw conclusions based on it
Previous experience with Power BI or other BI systems is not required - the course is aimed at users who are just getting acquainted with data visualization.
- Basic concepts:
- BI ( Business Intelligence ) and business analytics
- Microsoft 365. Power BI Ecosystem . Microsoft Fabric
- Power BI website structure
- The main objects of Power BI and the relationships between them: workspaces, visuals (tiles), semantic model, reports, dashboards
- Building a semantic model based on a created Power BI Desktop report and an Excel workbook
- Creating reports based on the constructed semantic model:
- Basic visualizations (table, matrix, cards, histogram, graph, pie, etc.)
- Working with geographical maps
- Sorting
- Conditional formatting in visualization
- Q&A usage, synonyms
- Working with dates
- Using explicit measures created with the DAX language
- Groups and hierarchies
- Filtering in reports: slices, visualization, page and report filters, detail filters
- Interaction of visualizations. Cross-highlighting
- Using the control buttons
- Using bookmarks
- Customizing the report appearance: text fields, images, shapes
- Automatic report analytics
- Export and embed reports
- Updating data
- Creating and configuring dashboards . Adding tiles
- Fast analytical inferences of the semantic model
- Subscriptions, notifications, comments
- Basics of using workspaces. User roles. Collaboration between users with different roles