Power BI Training Program

Master data analytics and visualization with our comprehensive Power BI training

Training Objectives

  • Connect to and extract data from diverse sources
  • Clean, transform, and model data using Power Query and DAX
  • Create interactive visualizations, reports, and dashboards
  • Understand data modeling concepts and optimize performance
  • Share and publish Power BI content effectively
  • Prepare for Microsoft PL-300 certification (optional)

Target Audience

Beginners

Individuals new to Power BI seeking foundational skills

Business Analysts

Professionals looking to enhance data-driven decision-making

Data Professionals

Those aiming to master data modeling, visualization, and analytics

Project Managers

Individuals involved in digital transformation initiatives

Certification Candidates

Learners preparing for the Microsoft PL-300 exam

Core Skills and Competencies

Data Connection and Extraction

Learn to connect to various data sources and retrieve data:

  • Connect to data sources like Excel, SQL databases, cloud services
  • Configure storage modes (Import, DirectQuery, Live Connection)
  • Use Power Query to extract data efficiently

Data Preparation and Transformation

Clean and transform data for analysis without altering the source:

  • Use Power Query to simplify complex datasets
  • Change data types, rename objects, and pivot data
  • Profile data to identify anomalies

Data Modeling

Build efficient data models to support analysis:

  • Create relationships and calculations
  • Form data models using Star Schema
  • Write DAX calculations for measures and analytics

Visualization and Reporting

Design compelling and accessible visualizations:

  • Create interactive reports and dashboards
  • Add elements like videos and QR codes
  • Design accessible reports adhering to best practices

Performance Optimization

Optimize Power BI models and reports for efficiency:

  • Identify poorly performing measures and relationships
  • Use Performance Analyzer and DAX query view
  • Optimize data retrieval and model performance

Sharing and Collaboration

Share insights and collaborate effectively:

  • Publish and manage Power BI apps
  • Collaborate with stakeholders
  • Understand application lifecycle management (ALM)

Training Roadmap

This roadmap outlines a structured learning path, combining self-paced study, hands-on practice, and optional instructor-led training. Resources are drawn from Microsoft Learn and other authoritative sources.

1

Getting Started (Beginner)

1–2 weeks
Focus: Understand Power BI basics and connect to data.
Resources: Microsoft Learn: "Get Started Building With Power BI" module.
  • Explore Power BI Desktop and its interface.
  • Connect to a sample dataset (e.g., Excel workbook) and create a basic report.
Activities:
  • Install Power BI Desktop.
  • Complete the "Get Started" learning path on Microsoft Learn.
  • Create a simple visualization (e.g., bar chart or pie chart).
2

Data Preparation and Transformation (Intermediate)

2–3 weeks
Focus: Master Power Query for data cleaning and transformation.
Resources:
  • Microsoft Learn: "Prepare Data for Analysis with Power BI" learning path.
  • Coursera's Microsoft Power BI Data Analyst Professional Certificate (data preparation modules).
Activities:
  • Practice cleaning and transforming a dataset (e.g., remove duplicates, handle missing values).
  • Use profiling tools to identify data anomalies.
  • Experiment with Power Query's Advanced Editor.
3

Data Modeling and DAX (Intermediate-Advanced)

2–3 weeks
Focus: Build robust data models and perform calculations.
Resources:
  • Microsoft Learn: "Design and Manage Analytics Solutions Using Power BI" (Course PL-300T00-A).
  • Study guide for Exam PL-300: Microsoft Power BI Data Analyst.
Activities:
  • Create a Star Schema model with fact and dimension tables.
  • Write basic DAX measures (e.g., SUM, COUNT, AVERAGE).
  • Practice optimizing relationships in a data model.
4

Visualization and Reporting (Intermediate-Advanced)

2–3 weeks
Focus: Create professional reports and dashboards.
Resources:
  • Microsoft Learn: Power BI learning paths for visualization.
  • Coursera: Power BI Data Analyst Professional Certificate (visualization modules).
Activities:
  • Build an interactive dashboard with slicers and filters.
  • Experiment with advanced visualizations (e.g., KPI cards, heatmaps).
  • Design an accessible report following best practices.
5

Sharing, Optimization, and Certification Prep (Advanced)

2–4 weeks
Focus: Optimize, share, and prepare for certification.
Resources:
  • Microsoft Learn: Study guide for Exam PL-300.
  • ONLC's "Ultimate Guide: Mastering the Power BI Certification."
  • Microsoft Power BI Community for peer-shared knowledge.
Activities:
  • Publish a Power BI app and share it with a test group.
  • Use Performance Analyzer to optimize a report.
  • Take a practice assessment for PL-300 certification.

Get Started Today

Contact us to discuss your training needs or schedule a session.