This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. In this comprehensive specialization, you will begin by mastering the basics of Excel 365, including how to navigate the interface, work with spreadsheets, and use essential functions. As you advance, you’ll dive into creating dynamic data models, mastering formulas, and utilizing powerful tools like PivotTables and Power Query. Throughout the journey, you will progress through a series of modules that will enhance your understanding of Excel’s functions, formulas, data analysis techniques, and advanced tools. From creating simple spreadsheets to building complex data models and automating workflows with macros, this course ensures you become proficient in Microsoft Excel and 365 apps, equipping you with the skills to solve data challenges efficiently. The specialization is suitable for beginners to advanced learners, ideal for professionals or anyone looking to improve their Excel expertise. No prior experience is required, but basic computer skills are recommended. By the end of the specialization, you will be able to navigate Excel confidently, apply advanced formulas, manage and analyze data using PivotTables and Power Query, and create automation with macros and VBA.
What you'll learn
Navigate Excel 365 interface and work with spreadsheets efficiently
Create and apply advanced formulas and functions for data manipulation
Build and manage PivotTables for data summarization and analysis
Use Power Query to transform and clean data
Develop dynamic data models for complex analysis
Automate repetitive tasks using macros and VBA
Course objectives
Master Excel fundamentals including interface navigation and basic spreadsheet operations
Progress from simple spreadsheets to complex data models
Gain proficiency in data analysis techniques using Excel's advanced tools
Develop automation skills to solve data challenges efficiently