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The Power BI with Power Query course at Koenig Solutions is a comprehensive 48-hour program designed to empower you with the skills to model, visualize, and analyze data effectively. With no pre-requisites, this course covers essential topics such as Data preparation, Power Query, M-Language, and advanced DAX concepts.
Learning Objectives:
- Learn how to retrieve and process data from various sources.
- Master the Power Query M language for efficient data management.
- Design and optimize data models using DAX.
- Build interactive Power BI visuals and insightful reports.
- Understand how to manage and deploy reports and dashboards.
This course provides practical applications like Designing data models, Creating custom functions, and Performing advanced analytics, making it ideal for business and technical professionals alike.
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♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
At Koenig Solutions, we aim to make our courses accessible to as many learners as possible. The Power BI with Power Query course has been designed with no specific prerequisites, making it ideal for both beginners and experienced professionals looking to enhance their skills in data analytics. To ensure a successful learning experience, we recommend that participants have:
The Power BI with Power Query course equips professionals with the skills to model, visualize, and analyze data using Power BI, addressing both business and technical requirements.
The Power BI with Power Query course equips learners with the skills to model, visualize, and analyze data using Power BI and Power Query M-Language. You will learn how to access and process data from various sources, manage and deploy reports, and utilize advanced analytics.
Understand Data Analysis and Power BI Fundamentals
Prepare Data in Power BI using Power Query
Model Data with Power BI Desktop
Build Power BI Visuals and Reports
**Manage Workspaces and
Power Query is a tool used within Power BI to efficiently import, filter, and transform data from various sources. It helps users clean and prepare data for analysis by enabling them to automate the data gathering and refining process. Power Query's intuitive interface supports a wide range of data connectors and allows custom data transformations, making it indispensable for creating powerful data models in Power BI. By using Power Query in Power BI, analysts can streamline the data preparation phase, leading to faster insights and more effective decision-making.
M-Language is a programming language used specifically within Power Query, a tool integrated into Power BI and other Microsoft products. M-Language is designed to facilitate data manipulation and transformation. When using Power Queries in Power BI, M-Language allows professionals to efficiently import, clean, and reshape data in tailored ways, ultimately ensuring that the data analysis and reporting are both powerful and precise. This capability is crucial for generating insightful business intelligence reports and making informed decisions based on comprehensive data analysis.
Advanced DAX (Data Analysis Expressions) concepts in Power BI involve sophisticated formulas that enhance data analysis beyond basic calculations. These concepts include using functions like CALCULATE to change the context of data dynamically and manipulate it through various filters. Other advanced techniques involve Time Intelligence for analyzing data across different time frames quickly, creating dynamic rankings, or leveraging earlier and row-based calculations to compare row content intelligently within tables. Understanding these advanced DAX concepts enables deeper data insight and more powerful reporting capabilities in Power BI.
Data preparation involves cleaning and transforming raw data before analysis. This process ensures data is accurate and formatted appropriately, enhancing the quality of insights derived from it. Typically, data preparation includes removing errors, handling missing values, and standardizing data formats. Tools like Power BI empower users with features like Power Query, which streamlines data preparation by allowing advanced data shaping and transformation. Integrating Power Queries within Power BI simplifies accessing, cleaning, and organizing data from various sources, making it ready for analysis and decision-making.
Power Query M language is a tool used within Power BI to streamline and automate the process of data gathering, cleanup, and analysis. It allows users to integrate and transform data from a variety of sources easily. Power Query works by recording steps used to transform data, making it simple to edit or replicate processes. Its integration within Power BI enables users to refine large volumes of data effectively, creating insights and visualizations with more precision and less effort.
Power BI visuals are components within the Power BI platform used to visually represent data, making it easier to understand and analyze. Users can choose from a variety of charts, graphs, and maps to create engaging reports and dashboards. Power Queries in Power BI allow for the extraction, transformation, and loading of data into these visuals, facilitating dynamic and insightful data presentations that help in decision-making processes. These tools in Power BI harness the power of data to generate actionable business intelligence.
Designing data models involves creating a structured framework to organize, store, and manage data effectively. It is crucial for developing databases and applications that operate efficiently. Data models outline how data is connected, the rules it obeys, and how it can be accessed and processed. This is particularly important in tools like Power BI, where optimized data models can significantly enhance data analysis and reporting capabilities. Efficient models help in executing complex power queries in Power BI, ensuring quick and accurate data retrieval and analysis.
Creating custom functions in Power BI using Power Query allows you to streamline and automate data processing tasks. Power Query, a tool within Power BI, helps you import, transform, and automate data workflows efficiently. By designing custom functions, you can extend the capabilities of Power Queries in Power BI, allowing for more specialized and reusable data operations, which improves data analysis and reporting processes. This customization can handle specific data transformation needs that are not covered by default functions, enhancing the power and flexibility of your data analysis projects.
Performing advanced analytics involves using sophisticated techniques to interpret data, uncover patterns, and predict trends. Tools like Power BI leverage power queries within Power BI to extract, transform, and analyze data efficiently. This capability supports decision-making by providing insights that are derived from complex, raw datasets transformed into understandable reports and dashboards. Power Query in Power BI plays a crucial role by enabling the integration, cleaning, and preparation of data, ensuring that the analysis is based on reliable and relevant information.
DAX (Data Analysis Expressions) is a formula language used in Power BI, Power Pivot in Excel, and SQL Server Analysis Services. It allows users to create custom calculations for data analysis and reporting. DAX includes functions, operators, and constants that can be combined to build formulas and expressions to calculate and return one or more values. Simplifying complex data manipulation tasks, DAX helps in creating powerful data models and provides insights that drive decision-making through more dynamic and sophisticated reports. DAX is especially useful for creating custom calculations in power queries within Power BI, enhancing data exploration and visualization.
The Power BI with Power Query course equips professionals with the skills to model, visualize, and analyze data using Power BI, addressing both business and technical requirements.
The Power BI with Power Query course equips learners with the skills to model, visualize, and analyze data using Power BI and Power Query M-Language. You will learn how to access and process data from various sources, manage and deploy reports, and utilize advanced analytics.
Understand Data Analysis and Power BI Fundamentals
Prepare Data in Power BI using Power Query
Model Data with Power BI Desktop
Build Power BI Visuals and Reports
**Manage Workspaces and
