Data · End-to-end for analysts

Learn data analysis — from a vague question to a clear answer.

Strive shapes a data-analysis course around your tools and your work — Excel, SQL, Python, or a mix. You learn to turn fuzzy business questions into queries, queries into insight, and insight into something a stakeholder will actually act on. Lessons stream live; recall keeps the patterns sharp.

Build my Data analysis course — free

Free tier included. No credit card.

Typically 12–18 hoursbeginnerEnglish

What you’ll learn

Translate a vague stakeholder ask into a question data can actually answer.
Pull, clean, and shape data using Excel, SQL, or Python — whichever you’ve chosen.
Explore distributions and relationships without being misled by averages.
Spot the classic analyst foot-guns — Simpson’s paradox, survivorship bias, look-ahead leaks.
Build a chart that makes the point in three seconds, not thirty.
Write a one-page memo a non-technical stakeholder will read end-to-end.
Run a small analysis project from question to recommendation.

A typical Strive course on Data analysis

From a vague ask to a sharp question3 lessons
Pulling and cleaning data — your tool, your rules5 lessons
Exploratory analysis — distributions, groups, outliers4 lessons
The classic foot-guns — bias, leakage, and bad denominators4 lessons
Charts that make a point4 lessons
Writing the one-pager — memo, not deck3 lessons
A worked analysis from question to recommendation3 lessons

Demonstration outline — your course is generated around your answers, so module count, depth, and difficulty will differ from this. Across the 7 modules above there are 26 lessons.

Frequently asked

Which tool does the course use — Excel, SQL, or Python?

You choose during the wizard. The framing modules are tool-agnostic; the cleaning, querying, and analysis examples then run in whichever stack you picked. You can also choose "a mix" and the course alternates by lesson.

Is this the same as the data science course?

No. Data science leans into stats foundations, Python, and modelling toward a portfolio project. Data analysis is broader and more communication-led — framing, cleaning, exploring, and writing the memo. Pick this one if your job title has "analyst" in it.

Will I build a portfolio project?

You build one worked end-to-end analysis inside the course. It’s not pitched as a portfolio piece — but it’s a complete arc you can adapt to your own dataset afterwards.

Ready to learn Data analysis?

Tell us where you are today. AI builds your course in minutes — and the daily recall queue makes sure you keep what you learn.

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Learn data analysis — from a vague question to a clear answer.

Typically 12–18 hoursbeginnerEnglish

What you’ll learn

Translate a vague stakeholder ask into a question data can actually answer.

Pull, clean, and shape data using Excel, SQL, or Python — whichever you’ve chosen.

Explore distributions and relationships without being misled by averages.

Spot the classic analyst foot-guns — Simpson’s paradox, survivorship bias, look-ahead leaks.

Build a chart that makes the point in three seconds, not thirty.

Write a one-page memo a non-technical stakeholder will read end-to-end.

Run a small analysis project from question to recommendation.

A typical Strive course on Data analysis

From a vague ask to a sharp question3 lessons

Pulling and cleaning data — your tool, your rules5 lessons

Exploratory analysis — distributions, groups, outliers4 lessons

The classic foot-guns — bias, leakage, and bad denominators4 lessons

Charts that make a point4 lessons

Writing the one-pager — memo, not deck3 lessons

A worked analysis from question to recommendation3 lessons