E-DAB 09: Power BI Desktop: Data Modeling & Interactive Visualizations
This course provides an introduction to Power BI and interactive visuals. It covers topics such as Excel PowerPivot or Power BI Desktop, Power BI history, different versions of Power BI, and how to download the free version. Participants will learn how to create a Power BI project and use data modeling and interactive visualizations to gain insights from their data. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
Power BI Desktop: Data Modeling & Interactive Visualizations is a course designed to introduce students to Power BI and interactive visuals. Students will learn how to download files, gain an overview of Power BI projects, understand the different versions of Power BI, and download the free version. They will also learn how to open a blank file and name it a “.pbix” file, as well as how to import data into Power BI Desktop. Students will learn how to create relationships between dimension and fact tables, create date tables with DAX formulas, and create DAX measures for total revenue, total COGS, total gross profit, and total units. They will also learn how to hide tables and fields that are not used in reports and visualizations, add new tabs, sheets, and pages, create gross profit interactive visualizations, create units analysis interactive visualizations, and create hierarchies. The course will conclude with a summary.
[Applications]
Suggestions for the application of this course include using Power BI Desktop to create interactive visualizations, such as gross profit and units analysis, and to create hierarchies. Additionally, the course covers how to import data from multiple Excel files, create relationships between dimension and fact tables, and hide tables and fields that are not used in reports and visualizations.
[Career Paths]
1. Business Intelligence Analyst: Business intelligence analysts use data to identify trends and develop strategies to help organizations make better decisions. They use Power BI to create interactive visualizations and data models to help organizations gain insights into their data. They also develop reports and dashboards to help organizations track performance and make informed decisions.
2. Data Scientist: Data scientists use Power BI to analyze large datasets and uncover patterns and trends. They use Power BI to create data models and interactive visualizations to help organizations gain insights into their data. They also develop predictive models to help organizations make better decisions.
3. Data Visualization Designer: Data visualization designers use Power BI to create interactive visualizations and dashboards to help organizations gain insights into their data. They use Power BI to create visually appealing and informative visualizations that help organizations make better decisions.
4. Data Engineer: Data engineers use Power BI to create data models and interactive visualizations to help organizations gain insights into their data. They also develop ETL pipelines to help organizations move data from one system to another. They use Power BI to create data models and interactive visualizations to help organizations gain insights into their data.
[Education Paths]
1. Bachelor's Degree in Business Analytics: A Bachelor's Degree in Business Analytics is a great way to gain the skills and knowledge needed to analyze data and make informed decisions. This degree program typically covers topics such as data mining, predictive analytics, and data visualization. Students will learn how to use software such as Power BI to create interactive visualizations and models. This degree is becoming increasingly popular as businesses become more data-driven and need professionals who can interpret and analyze data.
2. Master's Degree in Data Science: A Master's Degree in Data Science is a great way to gain the skills and knowledge needed to analyze large datasets and develop predictive models. This degree program typically covers topics such as machine learning, artificial intelligence, and natural language processing. Students will learn how to use software such as Python and R to create models and algorithms. This degree is becoming increasingly popular as businesses become more data-driven and need professionals who can interpret and analyze data.
3. Doctorate Degree in Business Intelligence: A Doctorate Degree in Business Intelligence is a great way to gain the skills and knowledge needed to develop and implement data-driven strategies. This degree program typically covers topics such as data warehousing, data mining, and data visualization. Students will learn how to use software such as Power BI to create interactive visualizations and models. This degree is becoming increasingly popular as businesses become more data-driven and need professionals who can interpret and analyze data.
4. Certificate in Data Analysis: A Certificate in Data Analysis is a great way to gain the skills and knowledge needed to analyze data and make informed decisions. This certificate program typically covers topics such as data mining, predictive analytics, and data visualization. Students will learn how to use software such as Power BI to create interactive visualizations and models. This certificate is becoming increasingly popular as businesses become more data-driven and need professionals who can interpret and analyze data.
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