Enhancing Data Visualization Models in Power BI with DAX
Course
Online
Description
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Type
Course
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Methodology
Online
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Start date
Different dates available
Interpret your business data seamlessly by enhancing your data visualizations in Power BI via DAX.Microsoft's Power BI is one of the most powerful business intelligence tools on the market. It provides actionable information about your company's data through appealing dashboards and visualizations. To present insightful visualizations, you need to perform statistical operations and data-crunching. That's how DAX (Data Analysis Expressions) boosts Power BI functionalities. Through its library of functions and operators, you can build formulas and expressions to simplify that task.In this course, you will use Power BI with DAX to transform your company's data into a visualization to better understand and interpret your data. You will begin by understanding the limitations of your data, then clean it to make it available for the right dataset. You will be creating required workspaces on the web and learning new (and updating existing) development skills using DAX. Enhance your data models for normal and advanced calculations to create interactive reports using the large set of visualizations that are available.Toward the end of the course, you will monitor your business data to get rapid answers via rich dashboards and visualizations available on every device.The code bundle for this course is available at: About the AuthorAshish Jagdale is a Power BI Lead developer with over 4 years of Power BI experience. He has worked in business intelligence for over 7 years. Currently, he is working at Zinfra as a Senior Business Analyst and Stakeholder Partner. He holds considerable experience in the BI space and has worked with the biggest multinational businesses in the industry. He believes in using his skills with Excel and data management to move beyond the number-crunching to optimize the commercial performance of the companies he works with maximize profitability.
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About this course
Become an advanced Power BI user by enhancing your data visualization models via DAX
Transform your company's data into rich visuals with Power BI to monitor your business and get answers quickly
Clean data and create relevant, interactive, and presentable visuals to provide key stakeholders with developing dashboards
Collect data from databases and use CSV files to write queries with Power BI
Create interactive reports using the large set of visualizations available in Power BI
Define advanced calculations using DAX expressions to ensure enhanced data modeling
Explore different options for creating, managing, and sharing your dashboards and visualizations with Power BI
Portable and flexible and can be used on multiple systems, making it accessible at any time
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Subjects
- Sales Training
- Import
- Business Intelligence
- Cleaning
- Writing
- Technology
- Sales
- Data analysis
- Benefits
Course programme
- Understand Power BI technology with some definitions
- Go through the major components of Power BI and understand installations and the setup process
- Import sample super store sales data into the Power BI Desktop to create the dataset
- Understand why one should analyze the dataset and its need
- Note down the business needs, customers, KPIs, right visuals, selecting required dataset, and so on
- Implement few of the steps required for analyzing the dataset into our imported sales dataset
- Talk about the importance of clean data, and also deal with various types of errors in data
- Understand and implement few of the best data cleaning practices
- Apply some of the data cleaning and processing steps inside the Query Editor in Power BI
- Understand Power BI technology with some definitions
- Go through the major components of Power BI and understand installations and the setup process
- Import sample super store sales data into the Power BI Desktop to create the dataset
- Understand why one should analyze the dataset and its need
- Note down the business needs, customers, KPIs, right visuals, selecting required dataset, and so on
- Implement few of the steps required for analyzing the dataset into our imported sales dataset
- Talk about the importance of clean data, and also deal with various types of errors in data
- Understand and implement few of the best data cleaning practices
- Apply some of the data cleaning and processing steps inside the Query Editor in Power BI
- Understand Power BI technology with some definitions
- Go through the major components of Power BI and understand installations and the setup process
- Import sample super store sales data into the Power BI Desktop to create the dataset
- Understand Power BI technology with some definitions
- Go through the major components of Power BI and understand installations and the setup process
- Import sample super store sales data into the Power BI Desktop to create the dataset
- Understand Power BI technology with some definitions
- Go through the major components of Power BI and understand installations and the setup process
- Import sample super store sales data into the Power BI Desktop to create the dataset
- Understand Power BI technology with some definitions
- Go through the major components of Power BI and understand installations and the setup process
- Import sample super store sales data into the Power BI Desktop to create the dataset
- Understand Power BI technology with some definitions
- Go through the major components of Power BI and understand installations and the setup process
- Import sample super store sales data into the Power BI Desktop to create the dataset
- Understand Power BI technology with some definitions
- Go through the major components of Power BI and understand installations and the setup process
- Import sample super store sales data into the Power BI Desktop to create the dataset
- Understand why one should analyze the dataset and its need
- Note down the business needs, customers, KPIs, right visuals, selecting required dataset, and so on
- Implement few of the steps required for analyzing the dataset into our imported sales dataset
- Understand why one should analyze the dataset and its need
- Note down the business needs, customers, KPIs, right visuals, selecting required dataset, and so on
- Implement few of the steps required for analyzing the dataset into our imported sales dataset
- Understand why one should analyze the dataset and its need
- Note down the business needs, customers, KPIs, right visuals, selecting required dataset, and so on
- Implement few of the steps required for analyzing the dataset into our imported sales dataset
- Understand why one should analyze the dataset and its need
- Note down the business needs, customers, KPIs, right visuals, selecting required dataset, and so on
- Implement few of the steps required for analyzing the dataset into our imported sales dataset
- Understand why one should analyze the dataset and its need
- Note down the business needs, customers, KPIs, right visuals, selecting required dataset, and so on
- Implement few of the steps required for analyzing the dataset into our imported sales dataset
- Understand why one should analyze the dataset and its need
- Note down the business needs, customers, KPIs, right visuals, selecting required dataset, and so on
- Implement few of the steps required for analyzing the dataset into our imported sales dataset
- Talk about the importance of clean data, and also deal with various types of errors in data
- Understand and implement few of the best data cleaning practices
- Apply some of the data cleaning and processing steps inside the Query Editor in Power BI
- Talk about the importance of clean data, and also deal with various types of errors in data
- Understand and implement few of the best data cleaning practices
- Apply some of the data cleaning and processing steps inside the Query Editor in Power BI
- Talk about the importance of clean data, and also deal with various types of errors in data
- Understand and implement few of the best data cleaning practices
- Apply some of the data cleaning and processing steps inside the Query Editor in Power BI
- Talk about the importance of clean data, and also deal with various types of errors in data
- Understand and implement few of the best data cleaning practices
- Apply some of the data cleaning and processing steps inside the Query Editor in Power BI
- Talk about the importance of clean data, and also deal with various types of errors in data
- Understand and implement few of the best data cleaning practices
- Apply some of the data cleaning and processing steps inside the Query Editor in Power BI
- Talk about the importance of clean data, and also deal with various types of errors in data
- Understand and implement few of the best data cleaning practices
- Apply some of the data cleaning and processing steps inside the Query Editor in Power BI
- Understand DAX i.e. Data Analysis Expressions, with an example
- Understand the core concepts of DAX i.e. measures and calculated columns
- Get introduced to DAX Studio, which is used for some advance DAX analysis
- Learn different data types in DAX, and understand the same in Power BI Desktop Workspace
- Understand different DAX operators with the help of an example
- Implement DAX operators using a few DAX functions
- Understand the basics of DAX formulas
- Learn different DAX functions, with the help of definitions
- Implement a few of the useful DAX functions, from various categories on the sample sales dataset
- Understand DAX i.e. Data Analysis Expressions, with an example
- Understand the core concepts of DAX i.e. measures and calculated columns
- Get introduced to DAX Studio, which is used for some advance DAX analysis
Additional information
Enhancing Data Visualization Models in Power BI with DAX
