Google Sheets — advanced usage

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A structured program from simple to complex with a focus on practice. Features are explored through real-world examples and tasks.
Google Sheets — advanced usage and practical techniques
Platform:
UDEMY
Partner courses:
Language of course:
Ukrainian
Difficulty:
Initial
Format of the event:
Video lectures
Certificate:
Yes
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Course overview

Description generated based on course syllabus and open data.

The program progresses from fundamentals to advanced topics to keep each step clear. Every capability is learned through practical examples and everyday tasks.

Who it fits / who it doesn’t: Google Sheets for advanced work

Who will benefit (Google Sheets / Google Spreadsheets)

  • Analysts and finance users working with formulas, pivots, and arrays.
  • Project and operations managers structuring data and controlling processes.
  • Marketers and researchers handling and validating datasets.
  • Users moving from basic to extended use of Google Sheets.

Who it won’t suit (basic usage without extension)

  • Those who only view/comment without editing.
  • Users satisfied with simple operations without formulas or logic.

Problem → outcome in Google Sheets (extended use)

  • Fragmented data → structured ranges with validation and unified references.
  • Manual calculations → automation via formulas (ARRAYFORMULA, QUERY, FILTER).
  • Formatting errors → stable conditional formatting rules and validators.
  • Duplicates and noise → cleanup with text functions and REGEX.
  • Heavy reports → pivot tables and aggregation without complex macros.

Comparison with alternatives: Google Sheets vs other tools

  • Microsoft Excel: broader offline features; Google Sheets excels at co-authoring and web integration.
  • Airtable/Smartsheet: handy for kanban/forms; Google Sheets is more flexible for formulas and custom calculations.
  • SQL/BI systems: better for large-scale data; Google Sheets suits ad-hoc analysis and data prep.

Program outcomes: advanced usage of Google Sheets

  • Data structuring: named ranges, validation, sorting, and filters.
  • Formulas and functions: logical, text, date, array (ARRAYFORMULA), lookup (VLOOKUP/XLOOKUP), aggregates.
  • Data processing and merging: QUERY, FILTER, UNIQUE, REGEXEXTRACT/REPLACE.
  • Analytics: pivot tables, grouping, conditional formatting.
  • Import and integrations: IMPORTRANGE, IMPORTXML/HTML, collaboration and access control.

Course Description

The course has been designed in such a way that as you progress from simple to more complex material, you still understand all the material. It is also made as practical as possible. And all the functions you will learn, you will learn by using them in practical examples.

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