Mastering Microsoft Excel and Power Query including M Language is a course or training program that aims to teach individuals how to effectively use the advanced features of Microsoft Excel and Power Query, including the M Language.
Microsoft Excel is a powerful spreadsheet software that is widely used for data analysis and visualization. Power Query, on the other hand, is a data connection tool that allows users to import, shape, and transform data from various sources. The M Language, also known as the Power Query Formula Language, is a programming language that is used to manipulate data in Power Query.
The course will cover topics such as:
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Advanced Excel functions and formulas
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Creating and managing data tables and pivot tables
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Importing and shaping data from various sources using Power Query
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Transforming data using the M Language
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Creating and managing data connections
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Advanced data analysis and visualization techniques
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Automating and streamlining data processes
Target Audience:
The target audience for a course on mastering Microsoft Excel and Power Query, including the M language, would typically include professionals and students who use Excel frequently in their work or studies and want to improve their efficiency and data analysis capabilities. This may include individuals in fields such as finance, business, economics, data analysis, and research. Additionally, the course may also be suitable for individuals who are self-taught Excel users and want to expand their knowledge and skills.
Learning Objectives:
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Understanding advanced Excel functions and formulas, such as VLOOKUP, INDEX, and MATCH, and how to use them to analyze and manipulate data.
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Becoming proficient in using Power Query to connect to various data sources, clean and transform data, and create custom functions using the M language.
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Creating interactive dashboards and visualizations using Excel's built-in charting and formatting tools, as well as third-party add-ons such as Power BI.
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Developing the ability to automate repetitive tasks using macros and VBA programming.
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Learning to import, export and combine data from multiple data sources
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Learning to use Excel for data modeling, including creating and working with pivot tables, and data validation.
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Learning to use Excel for data analytics and reporting, such as creating and working with pivot tables, data validation, and data visualization.
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Understanding the best practices for data management and security in Excel, including how to protect sensitive data and collaborate with others.