Microsoft Power BI for Data Analysts

Overview

In today's data-driven business environment, Microsoft's Power BI offers a powerful solution to help extract insights and identify trends from various data sources. With its ability to create professional-quality reports and dashboards, Power BI promotes collaboration and transparency, ensuring that everyone in the organization is on the same page when it comes to analyzing key business data.

Power BI is a versatile business analytics tool that enables users to integrate, process, and visualize data from various sources, such as databases, excel spreadsheets, CSV/Text File, Access, and Web. With its intuitive interface, rich visualization options, and advanced analytics capabilities, Power BI empowers users to gain insights into their data quickly and easily. The tool's collaboration features make it easy for teams to share insights and collaborate on reports and dashboards, ensuring that everyone has access to the latest data and insights.

This training program is designed to provide a comprehensive understanding of the concepts and techniques involved in visualization data in Power BI. The program covers a range of topics, including an introduction to data virtualization, the architecture of Power BI, data sources and connectors, and best practices for designing and implementing visualization data models. Through hands-on exercises and real-work examples, participants will gain practical experience in designing and implementing visualization data models in Power BI.

Objective

This training aims to provide a fundamental understanding of Power BI and its role in data analysis, teach how to import, transform, and cleanse data using Power BI Desktop, explore visualization techniques, master basic functionalities such as charts, graphs, and dashboard creation, and gain practical hands-on experience through exercises and real-world examples. Therefore, upon completion of the training program, the trainees will be able to:

  • Gain a foundational understanding of Power BI and its capabilities
  • Learn how to import, transform, and manage data within Power BI
  • Develop proficiency in creating and using Data Analysis Expressions (DAX) to perform advanced data calculations and analysis
  • Master the techniques for creating compelling and insightful data visualizations
  • Acquire the skills to build interactive and informative dashboards that convey critical business insights
  • Apply the processes for publishing reports and collaborating with others through data distribution

Content

The course will cover a range of topics, including Power BI and its capabilities, how to connect Power BI to data sources, data transformation, table relationships, and implicit & explicit measures. Participants will also learn how to create Power BI reports and apply key techniques to produce standard reporting. Additionally, the training program will focus on how to custom visualization to a Power BI report, color formatting and axis properties, and Power BI dashboard. Specifically, our training will cover most important below 6 modules:

  • Module 1: Power BI Overview
  • Module 2: Getting Started with Data
  • Module 3: Creating and Using Data Analysis Expression (DAX)
  • Module 4: Creating Data Visualization
  • Module 5: Building Dashboards
  • Module 6: Publishing Reports (Collaboration and Distribution Data)

Who should Attend?

This course will benefit everyone with an interest in data analysis and business insights using visualizations and reports. Specifically, this course is perfect for:

  • Data Analysts
  • Business Analysts
  • Database Administrators
  • Data Engineers
  • IT Professionals

Trainer's Profile

He is currently working as a M&E Consultant for a reputable sustainable economic development and human development organization in Cambodia. His role involves in developing and updating the M&E system, including M&E plans, data flow, data management, data analysis, and reporting.

Fee Charged

The course fee is USD 270.00. It is inclusive of course materials, handouts, meals, refreshments, and certificates of completion but do exclude 10% of VAT amount.

We are offering an early bird registration fee to anyone who registers earlier. Interested participants or companies are encouraged to view the course details and early bird registration deadline. For further details on early bird fee, please find following:

USD 230 (Register before 14 June 2024)
USD 250 (Register before 21 June 2024)