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Free ebook: Excel for Beginners

A complete starting point for Excel: the screen, entering and formatting data, how formulas work, the functions everyone should know, and a gentle introduction to charts and PivotTables.

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=ARTICLES

Notion vs Excel for databases: which fits your tracker or CRM?

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The Beginner's Guide to Excel - Excel Basics Tutorial

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Task trackers, simple CRMs, and content calendars sit in a gap: too structured for a plain document, too simple to justify a real database. Both Notion and Excel can fill that gap, but they get there differently.

Where Notion wins

Notion databases are built around properties and views. Each record is a page with fields (status, owner, date, tags), and you can look at the same data as a table, a kanban board, a calendar, or a gallery — without rebuilding anything. Switching a task tracker from a list view to a board view is a click, not a redesign.

Notion also makes relations easy: link a row in one database (a client) to rows in another (their projects or invoices) and pull related fields across with a rollup, no lookup formula required. For a lightweight CRM where you want to click into a contact and see their open deals, this beats building the equivalent in Excel with XLOOKUP and helper columns. Multiple people editing the same tracker in a browser, with comments and mentions attached to individual records, is also a natural fit for Notion.

Where Excel wins

Once the work involves real calculation — SUMIFS across categories, pivot tables summarizing thousands of rows, forecasting, or any kind of numeric modeling — Excel is simply more capable. Notion has formulas, but they’re limited compared to Excel’s function library, and there’s no equivalent to a pivot table for exploring data from different angles quickly. Notion databases also slow down noticeably once they hold many thousands of records; Excel handles that volume without strain.

Excel also works fully offline, doesn’t depend on a web app being available, and is the better choice if the output needs to feed into finance-style reporting or heavier analysis later.

Where each one wins

Use Notion when the “database” is really a set of records people need to view, filter, and update together in different formats — a content calendar, a simple deal tracker, a shared task list. Use Excel when the core job is calculation: totals, trends, and pivoted summaries over tabular data.

Some teams use both: Notion for the day-to-day tracker people actually live in, with a periodic export into Excel when someone needs to crunch the numbers.

=PRACTICE

Go deeper with this skill

Build a confident foundation by practicing navigation, data entry, formatting, references, and simple calculations together. For this article, the goal is to practice: Comparing Notion's database views and Excel's formulas and pivot tables for lightweight use cases like task trackers, simple CRMs, and content calendars.

Practice workbook setup

Create a starter workbook with one sheet for raw practice data, one sheet for formatted output, and one sheet for notes.

Practice workflow

  1. Enter a small table manually so you practice rows, columns, headers, and basic formatting.
  2. Use simple formulas such as totals, averages, and percentages before moving to advanced functions.
  3. Practice copying formulas while watching how relative and absolute references change.
  4. Format the result for readability, then remove any formatting that does not help the reader.

Quality checks

  • Numbers are stored as numbers, dates as dates, and labels as text.
  • Formulas copy correctly down the table without broken references.
  • The final sheet can be understood without needing the practice notes.

Common mistakes

  • Typing numbers with currency symbols or spaces that turn them into text.
  • Copying a formula before checking whether references should stay fixed.
  • Using formatting to cover unclear labels or inconsistent structure.

Next actions

  • Rebuild the same workbook without looking at the tutorial.
  • Turn the range into a table and repeat the formulas using table headers.

Formula focus: even if this workflow is not formula-heavy, add one check cell that confirms the final output still matches the source data.