To ensure a successful learning experience in the Microsoft Excel - Power Query course, participants should possess the following minimum prerequisites:
- Basic understanding of Microsoft Excel, including familiarity with the Excel interface, creating workbooks, and using basic formulas and functions.
- Ability to perform simple data manipulations in Excel such as sorting, filtering, and basic calculations.
- Comfort with using a computer, managing files and folders, and navigating the Windows operating system.
- An eagerness to learn and explore new tools within Excel for enhancing data analysis capabilities.
Please note that while prior experience with Power Query is not required, a foundational knowledge of Excel will help you grasp the concepts more efficiently.
Target Audience for Microsoft Excel - Power Query
Koenig Solutions' Microsoft Excel - Power Query course empowers users to extract, transform, and automate data for advanced analytics and reporting.
- Data Analysts and Scientists
- Business Intelligence Professionals
- Financial Analysts and Accountants
- Marketing Analysts
- Supply Chain Analysts
- HR Analysts
- Reporting Specialists
- IT Professionals working with data
- Project Managers requiring data manipulation
- Excel Power Users seeking to upgrade their skills
- Consultants who analyze and visualize data
- Researchers compiling and cleaning data sets
- Administrative personnel who manage data regularly
Learning Objectives - What you will Learn in this Microsoft Excel - Power Query?
Introduction to Learning Outcomes:
This Microsoft Excel - Power Query course equips participants with essential skills to import, cleanse, transform, and automate the preparation of data efficiently using Power Query.
Learning Objectives and Outcomes:
- Understand the fundamental concepts and capabilities of Power Query in Excel.
- Navigate the Power Query interface and comprehend the significance of Applied Steps in Query Settings.
- Extract data from various sources including Excel tables, external workbooks, databases, web pages, and other miscellaneous sources.
- Implement data transformation techniques such as grouping, aggregating, and creating calculated columns using text functions.
- Perform data cleaning operations like splitting text into columns, removing redundant data, and addressing formatting issues.
- Master unpivoting of data and replacing errors or specific values within columns to tidy datasets.
- Learn to merge and append data from different Excel workbooks and various external data sources effectively.
- Automate queries within Power Query to streamline repetitive tasks and improve productivity.
- Develop an understanding of how to create basic functions in Power Query to enhance data manipulation capabilities.
- Create dynamic dashboards and reports from data prepared in Power Query, enabling better data-driven decision-making.
