Excel
For Excel assessments, MO-200
Level 1: Newcomer
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Real exercises in workspaces modeled on the tools. Pick one below and try it.An interviewer who listens and follows up. Watch a practice call below.
Lesson 1 · SUM
Lesson 1 · WHERE and ORDER BY
Table orders: order_id customer amount region
Lesson 1 · groupby
Lesson 1 · Your first visual
Lesson 1 · Columns and rows
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Analyze data in spreadsheets, SQL workspaces, notebooks and dashboard builders.
For Excel assessments, MO-200
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Use the command line, manage code with Git and work with containers.
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Build financial models, record transactions and prepare financial statements.
Every lesson is the same four steps, in whichever tool you pick.
Practice the rounds employers run, out loud, with an interviewer who follows up.
A short explanation, then one clear task.
Work in the tool, as you would at your job.
At once, with a hint when it's wrong.
The next exercise, from beginner to expert.
Most data analyst jobs ask for the same few tools: a spreadsheet, SQL, Python with pandas and a dashboard tool. Learn them in the order analysts usually do, or jump to the one your next test asks for.
Software interviews test a language you know well, the classic coding patterns and how you design a system. Practice each in a real code workspace, with every answer run against tests.
Data engineering interviews test SQL in depth, a cloud warehouse, modeling with dbt and processing at scale. Practice each in a workspace modeled on the real tool, the way the job uses them.
Cloud and DevOps roles expect you at home in a terminal, in Git, with containers and on AWS. Practice them in workspaces modeled on the real tools, where nothing you break is real.
Finance and accounting roles live in spreadsheets: models, journal entries and the reports built on them. Practice the tools the job uses, from the first formula to a finished report.
Practice the first unit of every course. No account needed.
Practice across 34 courses
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Get All AccessOne plate is one spoken minute. Typed practice is free up to 20 minutes a day.
Most use a spreadsheet (Excel or Google Sheets), SQL to get data out of databases, a dashboard tool like Power BI or Tableau, and often Python with pandas. The Work Gym has a hands-on course for each.
Do the tasks those tests use, against the clock: lookups, SUMIFS, cleaning data, charts and summaries. The Excel course builds up to exactly that and ends with mock exams in the same style.
Expect SQL queries (joins, GROUP BY, window functions), a spreadsheet task, questions on metrics and a short case. The SQL, pandas and consulting courses each have interview sets built from these.
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No. The simulators run in your browser, including Python notebooks, SQL workspaces, Linux terminals, Git repositories and a local AWS account.
Most take 5 to 15 minutes: a short explanation and a few exercises. Projects and mock exams take longer, and you can stop and come back.
Pick a tool and do lesson 1 now. No account, no card, nothing to install.