Today's business world is becoming increasingly data-driven. Small and large businesses use data to make decisions about sales, hiring, goals, and all areas they have data for. While most businesses have access to data of one type or another, it can be intimidating for an average business user to understand the data without a background in data analytics.
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Microsoft’s Power BI takes the intimidation and hassle out of data analysis and visualization.
Throughout this course, you will identify errors in the datasets and diagnose them using data cleaning and transformation techniques to prepare them for reporting purposes. With a focus on practical applications, you will solve complex visualizations using the DAX operator and assess the visualizations to plan business-related decisions.
Whether you aspire to be a data analyst, a business intelligence professional, or a decision-maker relying on data-driven insights, this course will provide you with the necessary tools and knowledge to succeed.
This course is part of the Fractal Data Science Professional Certificate.
What you'll learn
- Select and use relevant charts for appropriate data problems
- Use PowerBI to connect with data belonging to diverse formats
- Communicate key insights from business problem using Reports and Dashboards
- Create advanced visualization on Power BI using DAX
Syllabus
Introduction to Power BI and Data Visualization
This module provides a comprehensive introduction to Power BI and data visualizations. Learners will explore the capabilities of Power BI and gain proficiency in creating impactful visualizations. Topics covered include installation and getting started with Power BI, various chart types, Power BI interface overview, comparison of reports and dashboards, and building a basic Power BI report. Throughout the module, learners will progress from understanding Power BI fundamentals to applying their knowledge in creating meaningful visualizations.
Transforming The Data Using Insights
This module, "Operations on Multiple Tables," covers essential techniques for handling and analyzing data across multiple tables. By delving into different cleaning techniques, students will gain proficiency in efficiently retrieving datasets that can be directly used for visualizations. The module goes beyond theoretical concepts by providing practical exercises using a real-world case study, allowing users to apply their problem-solving abilities in a hands-on manner. At the end of this module, students will discover how to enhance data models by gaining an understanding of Fact tables and Dimension tables. Upon completion of the module, students will be able to acquire the skills to effectively perform operations on multiple tables, ensuring clean, transformed, and relationship-driven data models for analysis.
Getting Started with DAX
In this module "DAX Operator", students will gain valuable skills to perform advanced calculations and data manipulations in Power BI. Students will explore various DAX functions and operators, understand their syntax and structure, and learn how to apply them effectively in Power BI. Additionally, they will also differentiate between calculated columns and measures, gaining insights into when to use each approach. In the end, students will have an in-depth understanding of the Row context and Filter context. Through practical examples and problem-solving exercises, students will develop a solid understanding of DAX fundamentals and their significance in data analysis.
Building Customized Reports and Dashboard
In this module, students will delve deeper and acquire skills and knowledge to create comprehensive reports and expanding their knowledge of utilizing DAX operators. They will learn essential skills to utilize diverse visualizations and address problem statements to deliver actionable insights. Furthermore, this module will emphasize the importance of designing and structuring the report to make it relevant for businesses. By mastering these skills, students will acquire the necessary tools to become an expert in the field of business intelligence and contribute to data-driven decision-making.
