Choose your language
Power BI Course for Beginners
More than 2 million learners worldwide

Power BI Course for Beginners

4.4

Turn raw data into clear, actionable insights with Power BI — Microsoft's leading business intelligence platform. This course takes you from installation and data connection all the way through DAX formulas, interactive reports, and secure publishing. Whether you're a data analyst, business professional, or aspiring BI developer, you'll gain the hands-on skills employers are actively looking for.

Dedika for businesses

What you will learn:

  • Connect Power BI to databases, Excel files, and cloud sources with confidence.

  • Transform and clean raw data using Power Query Editor for reliable analysis.

  • Build star schema data models with correct relationships and optimized performance.

  • Write DAX measures — including time intelligence — to calculate meaningful business metrics.

  • Design interactive, professional reports with the right visuals for every business question.

  • Publish, share, and govern reports in Power BI Service using proper access controls.

How you study in a practical way Power BI Course for Beginners

How you practice Power BI Course for Beginners

For companies who want to train their team

With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.

Click here

Course content

8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Power BI Fundamentals and Setup

  • Lesson 1 • Core Components of Power BI

    Identifies Power BI Desktop, Service, and Mobile as distinct layers. Clarifies how each component fits into a complete reporting solution.

  • Lesson 2 • Installing and Configuring Power BI Desktop

    Walks through download, installation, and initial settings for Power BI Desktop. Ensures every student has a functional, correctly configured tool.

  • Lesson 3 • What Power BI Is and Does

    Defines Power BI as a business intelligence platform and maps its role in data workflows. Sets context for every skill taught in the course.

  • Lesson 4 • Navigating the Power BI Interface

    Maps the ribbon, panes, and view modes inside Power BI Desktop. Builds spatial familiarity so students work efficiently from the start.

Chapter 2See details

Connecting to and Importing Data

  • Lesson 1 • Understanding Data Sources in Power BI

    Surveys the range of connectors available, from files to databases to cloud services. Frames source selection as a deliberate design decision.

  • Lesson 2 • Connecting to Database Sources

    Guides students through connecting to relational databases using native connectors. Introduces credential management and query folding concepts.

  • Lesson 3 • Connecting to File-Based Sources

    Demonstrates importing Excel workbooks, CSV files, and folders step by step. Covers common pitfalls such as header detection and encoding issues.

  • Lesson 4 • Managing and Refreshing Data

    Covers manual refresh, scheduled refresh in Power BI Service, and gateway requirements. Ensures students can keep reports current after initial load.

  • Lesson 5 • Import vs. DirectQuery vs. Live Connection

    Compares the three data connectivity modes and their performance and refresh implications. Students select the appropriate mode for a given scenario.

Chapter 3See details

Transforming Data with Power Query

  • Lesson 1 • Adding and Transforming Columns

    Teaches custom columns, conditional columns, and column-from-example features. Students enrich tables with derived fields without writing complex code.

  • Lesson 2 • Reshaping Tables

    Demonstrates pivoting, unpivoting, transposing, and splitting columns to restructure data. Reshaping converts source layouts into model-friendly formats.

  • Lesson 3 • Parameterizing and Reusing Queries

    Introduces query parameters, query groups, and reusable function queries. Promotes maintainable, scalable data preparation workflows.

  • Lesson 4 • Power Query Editor Orientation

    Introduces the Power Query interface, the Applied Steps pane, and the M formula language. Establishes the editor as the primary data preparation workspace.

  • Lesson 5 • Essential Data Cleaning Techniques

    Covers removing duplicates, filtering rows, handling nulls, and correcting data types. These operations form the baseline of every data preparation task.

Chapter 4See details

Building the Data Model

  • Lesson 1 • Data Modeling Concepts

    Explains fact tables, dimension tables, cardinality, and filter direction. Provides the conceptual foundation for every modeling decision in the chapter.

  • Lesson 2 • Model Optimization Best Practices

    Addresses hiding unused fields, setting sort columns, and reducing model size. Optimized models load faster and present cleaner field lists to report authors.

  • Lesson 3 • Hierarchies and Calculated Columns

    Teaches creating date and category hierarchies and adding calculated columns in the model. These features improve drill-down navigation and enrich the data.

  • Lesson 4 • Creating and Managing Relationships

    Covers creating relationships in Model view, editing properties, and resolving ambiguity. Correct relationships are the backbone of accurate cross-table analysis.

  • Lesson 5 • Building a Star Schema

    Guides students through restructuring a raw model into a star schema with a central fact table. Demonstrates measurable performance and usability gains.

Chapter 5See details

Writing DAX Formulas

  • Lesson 1 • Filter Functions: CALCULATE and FILTER

    Explains CALCULATE as the primary context-modification function and FILTER as a table iterator. These two functions unlock the full power of DAX analysis.

  • Lesson 2 • Time Intelligence Functions

    Covers TOTALYTD, SAMEPERIODLASTYEAR, DATEADD, and related functions for period-over-period analysis. Requires a properly marked date table in the model.

  • Lesson 3 • Core Aggregation Functions

    Covers SUM, AVERAGE, COUNT, MIN, MAX, and their X-iterator variants. These functions produce the majority of business metrics in real reports.

  • Lesson 4 • Logical and Conditional Functions

    Teaches IF, SWITCH, AND, OR, and IFERROR for conditional business logic. Students encode decision rules directly into measures and calculated columns.

  • Lesson 5 • DAX Syntax and Evaluation Context

    Introduces DAX syntax rules, row context, and filter context as foundational concepts. Understanding context is prerequisite to writing any correct DAX formula.

Chapter 6See details

Building Reports and Visualizations

  • Lesson 1 • Advanced Visuals and Custom Visuals

    Introduces KPI cards, gauges, decomposition trees, and AppSource custom visuals. Expands the reporting toolkit for specialized analytical needs.

  • Lesson 2 • Slicers, Filters, and Interactions

    Teaches slicer types, the Filters pane, and cross-visual interaction settings. These controls let report consumers explore data without editing the report.

  • Lesson 3 • Choosing the Right Visual

    Maps common business questions to appropriate chart types and tables. Correct visual selection prevents misinterpretation and improves audience comprehension.

  • Lesson 4 • Report Layout and Design Principles

    Applies visual hierarchy, alignment, whitespace, and color theory to report design. Well-designed layouts reduce cognitive load and guide the reader's eye.

  • Lesson 5 • Configuring Visual Properties

    Covers the Fields, Format, and Analytics panes for customizing each visual. Students control titles, colors, axes, data labels, and reference lines.

Chapter 7See details

Publishing and Sharing in Power BI Service

  • Lesson 1 • Publishing Reports from Desktop

    Walks through the publish workflow, destination selection, and post-publish verification. Students confirm their reports appear correctly in the Service.

  • Lesson 2 • Sharing Reports and Managing Access

    Teaches direct sharing, link sharing, and publishing as an app for broader distribution. Students apply the principle of least privilege to access control.

  • Lesson 3 • Building and Pinning Dashboards

    Covers creating dashboards by pinning visuals and entire report pages. Dashboards provide a single-screen summary view for executive audiences.

  • Lesson 4 • Power BI Service Workspace Overview

    Explains workspace types, roles, and the relationship between workspaces and apps. Workspaces are the organizational unit for all collaborative Power BI work.

Chapter 8See details

Advanced Analytics and Performance Tuning

  • Lesson 1 • Advanced DAX Patterns

    Covers RANKX, TOPN, SELECTEDVALUE, and dynamic measure patterns for complex business logic. Builds on core DAX skills to handle real-world analytical requirements.

  • Lesson 2 • AI-Powered Visuals and Insights

    Introduces Q&A, Smart Narratives, Key Influencers, and Anomaly Detection visuals. These features surface insights automatically and support natural-language exploration.

  • Lesson 3 • Performance Analyzer and Query Diagnostics

    Uses the Performance Analyzer pane to measure visual render times and DAX query duration. Identifies which visuals and measures are causing slowdowns.

  • Lesson 4 • Row-Level Security Implementation

    Defines RLS roles using DAX filters and tests them before deployment. Ensures sensitive data is visible only to authorized users in published reports.

  • Lesson 5 • Model and Report Optimization

    Applies aggregations, composite models, and report-level measures to reduce load times. Students implement targeted fixes based on analyzer findings.

Certification

Your valid completion certificate

This course is for you:

  • Business analyst: needs faster, more scalable reporting beyond spreadsheet limits.

  • Operations manager: wants self-service dashboards without depending on an IT team.

  • Career changer: moving into data roles and building a competitive BI skill set.

  • Financial professional: ready to automate recurring reports and visualize trends clearly.

  • Marketing coordinator: looking to turn campaign data into clear, shareable performance reports.

  • Recent graduate: entering the workforce with practical, employer-valued data visualization skills.

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

Top trainings

FAQs

Who is Dedika?

Is the certificate valid in the Philippines?

Are the courses free?

What is the course workload?

What are the courses like?

How do the courses work?

What is the duration of the courses?

What is the cost or price of the courses?

What is an EAD or online course and how does it work?

PDF Course