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Showing 53–56 of 344 results
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Core Data Analytics Module 1: Data Extraction and Data Sources
Course Description
This one-hour course serves as the introductory module to data analytics. Learn the basic terminology used in data analytics. This course also provides an understanding of the sources of data and importance in combining them. You will also practice the basics of Microsoft® Power Query tool
Learning Objectives
- Understand the applicable Microsoft® Excel® skills that will be required in making the transition to data analyst
- Understand the basic terminology, applications, and uses of data analytics
- Understand the relationships that exist between different sources of data
- Demonstrate the ability to perform basic Power Query functions
- Demonstrate the ability to import Excel® workbooks into Power Query
- Demonstrate the ability to connect to external data sources using Power Query
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Core Data Analytics Module 10: Visualizations and Reporting
Course Description
This one-hour course introduces data visualization and reporting using Power BI and Microsoft® Excel®. Learn the benefits of using Power BI to create data visualizations, and see how Power BI differs from previous Excel® functions for visualizations. You will also work alongside the instructor to create a dashboard for journal entry testing. Dive into the relation among various tools for data analytics including: Power Query, Power Pivot, PivotTables, DAX formulas and storyboarding.
Learning Objectives
- Understand the applicable Excel® skills that will be required in making the transition to data analyst
- Understand what data visualization tools are available in Excel® and Power BI and how they are superior to previous Excel® tools.
- Apply skills to create a dashboard from journal entry testing data
- Apply skills to evaluate and present the output of analytical modeling in an easily interpreted form
- Learn to use the camera tool in Power BI to create dashboards
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Core Data Analytics Module 2: Data Preparation Using Get and Transform
Course Description
In this one-hour course, you’ll learn to apply Power Query to extract, transform, and load data for analysis. You’ll also practice manipulating data and cleaning and transforming a basic general ledger.
Learning Objectives
- Understand the applicable Microsoft® Excel® skills that will be required in making the transition to data analyst
- Apply Power Query to extract, transform, and load (ETL) data
- Understand and apply the basics of data cleaning
- Understand what is M Code and how it is used
- Apply ETL processes to a dataset
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Core Data Analytics Module 3: Formulas, Named Ranges, and Formula Accounting
Course Description
This one-hour course introduces table functions in Excel® and Power BI with specific focus on common formulas,functions and pitfalls in formula implementation. Users will work alongside the instructor to perform exercises as they apply and utilize named ranges and naming conventions to data.
Learning Objectives
- Understand the applicable Excel® skills that will be required in making the transition to data analyst
- Apply formulas to existing data and debug errors
- Understand and apply the basics of data cleaning
- Understand the importance of naming conventions in Excel® tables
- Understand the basic formula language and implementation guidance, and apply that guidance to common formulas used in data analytics
