Data Analysis and Visualization with Power BI

Introduction

Welcome to the course on Data Analysis and Visualization with Power BI. In today’s data-driven world, organizations that can effectively understand and present their data hold a competitive edge, making database management crucial. Microsoft’s Power BI has secured its place as a leading tool, enabling individuals to analyze and derive insights from vast datasets with ease.

In this course, you will deepen your understanding and mastery of Power BI. Whether you are an advanced data analyst or new to data visualization, this course is designed to prepare you to meet industry standards. You will be immersed in an environment that leverages the full potential of Power BI for data analysis.

You will learn how to import, transform, and work with data, as well as build efficient reports and visually appealing dashboards. Each module is delivered in a practical manner to ensure a thorough grasp of the concepts. 

Join us in realizing the potential of Power BI to transform raw data into actionable insights that support organizational objectives. Let’s embark on this exciting journey of data analysis and visualization using Microsoft Power BI.

Course Objectives

By completing this Data Analysis and Visualization with Power BI course, participants will be able to:

• Understand the basics of data visualization and analysis using Power BI.
• Load, cleanse, and transform data for analysis in Power BI.
• Create effective and interactive visualizations and reports to gain insights.
• Analyze data using advanced tools such as DAX and custom visual features.
• Present key metrics and trends using dashboards that provide in-depth data analysis.
• Collaborate on organizational projects using Power BI.
• Prepare for the Analyzing and Visualizing Data with Power BI exam.
• Apply best practices in data modeling, optimization, and performance tuning in Power BI projects.

Training Methodology

• Lectures supported by open query sessions
• Learning through screencasts
• Working on problem/project cases
• Teamwork activities
• Frequent quizzes and tests
• Demonstrating completed and advanced versions of Power BI
• Peer review and feedback
• Final project presentation at the end of the course
• Providing additional materials and exam preparation resources

Course Outline

Unit 1: Introduction to Data and Power BI Data Analysis in a Standardized Form

• Overview of Power BI and its significance for data analysts
• Introduction to the Power BI software and its fundamental features
• Importance of visualizing data in decision-making processes
• Course objectives, sections, and expected outcomes
• Exploring the prospects of data analysis and visualization with Power BI

Unit 2: Data Importing and Transformation in Power BI

• Importing data from various sources such as Excel, SQL Server, and CSV files
• Data transformation using Power Query Editor
• Cleaning and shaping data for specific analysis
• Creating relationships among tables and performing data modeling
• Formatting and categorizing data within Power BI

Unit 3: Creating Visualizations in Power BI

• Understanding various visualization tools in Power BI, including bar graphs, line graphs, and pie charts
• Enhancing visualizations with colors, fonts, and formats
• Making data more engaging with slicers, filters, and drill-through options
• Building comprehensive reports using available and custom visual aids
• Applying effective communication techniques in designing visualizations

Unit 4: Advanced Analysis Techniques with Power BI

• Introduction to DAX (Data Analysis Expressions) for customized calculations
• Performing computations using calculated columns and measures
• Utilizing time intelligence features in Power BI for historical analysis
• Conducting correlational research using advanced Power BI features
• Incorporating new types of graphics to present specific kinds of information

Unit 5: Sharing and Collaboration in Power BI

• Publishing reports and dashboards from Power BI Desktop to Power BI Service
• Managing sharing settings and permissions for Power BI content
• Collaborating with colleagues using Power BI workspaces and apps
• Implementing periodic data updates to ensure reports reflect the latest data
• Exploring possibilities for embedding Power BI into websites, applications, and other platforms