Microsoft Power BI with Power Query Training
Training Methodology:
This Power BI with Power Query employs a practical methodology to instruct participants on utilizing Power Query in Power BI for the effective transformation, cleansing, and modeling of data. The methodology comprises:
- Instructor-led demonstrations: Live demonstrations on utilizing Power Query for data extraction, transformation, and loading.
- Practical exercises: Participants will engage in the transformation and modeling of data through real-world scenarios.
- Collaborative dialogues: Group conversations focused on optimal methodologies for data transformation and automation utilizing Power Query.
- Case analyses: Utilization of Power Query to address particular data issues and improve reporting.
- Ongoing feedback: Consistent evaluations of participants’ advancement to enhance their data transformation competencies.
Microsoft Power BI with Power Query Training Course Description
This Power BI with Power Query course aims to instruct participants on optimizing the data preparation process in Power BI through the utilization of Power Query. Participants will acquire skills in efficiently cleaning, transforming, and modeling data prior to generating reports and dashboards. This course is suitable for individuals seeking to automate data procedures and produce more precise reports.
What You'll Learn
- Data Transformation: Acquire skills in data cleansing and reshaping utilizing Power Query within Power BI.
- Data Loading: Comprehend the process of importing converted data into Power BI for subsequent analysis and reporting.
- Fundamentals of M Language: Acquire an introduction to the M language utilized in Power Query for sophisticated data manipulations.
- Automation: Implement automated data refreshes and transformation processes to enhance reporting efficiency.
- Integrating Data Sources: Acquire skills to amalgamate and append various data sources in Power Query.
Course Outline
Module 1: Introduction to Power Query in Power BI
Summary of Power Query and its use in data transformation.
Comprehending the Power Query interface and its functionalities.
Optimal methodologies for employing Power Query in data preparation.
Module 2: Data Extraction and Cleaning Techniques
Importing data from several sources, including Excel, databases, and the web.
Data cleansing and transformation (eliminating duplicates, addressing missing values, etc.).
Employing sophisticated transformation methods include pivoting, unpivoting, and text segmentation.
Module 3: Merging and Appending Data
Integrating data from several sources with merge and add procedures.
Establishing associations among tables with Power Query.
Optimal strategies for managing extensive datasets and enhancing performance.
Module 4: Using the M Language for Advanced Transformations
Overview of the M language and its syntax.
Composing bespoke queries for sophisticated data manipulations.
Automating transformations utilizing reusable M code.
Module 5: Automating Data Refreshes and Workflows
- Establishing automated data refresh schedules in Power BI.
- Employing Power Query to automate data transformations and optimize workflows.
- Optimal strategies for overseeing data sources and streamlining reporting processes.
Course Conclusion:
In order to prepare and manipulate data for usage in Power BI, participants will have a proficient understanding of how to use Power Query. Through the use of automation, they will be able to handle complex information, generate more accurate reports, and automate the process of data preparation. Those professionals who are interested in enhancing their data workflows and maximizing the effectiveness of their Power BI reports will find this training to be especially beneficial.
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