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Data science for working professionals.

You already work with numbers: reports, forecasts, dashboards. This path turns that into a method. You learn to test an idea, build a model you can explain and write the page that gets a decision made.

What you get

Four things that change how you work.

01

Start from your own questions

Bring the questions your work already raises. They make the best projects.

02

From reporting to testing

Do not only describe what happened. Design the test that shows why.

03

Models you can explain

Learn to show how far a model can be trusted.

What is the difference between data science and data analytics?

Analytics reports what happened. Data science tests why it happened and what is likely to happen next, and says how sure you can be. An analyst builds the dashboard. A data scientist designs the test, builds the model and writes the recommendation.

Where to start

Where to start.

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Data Science

The full program: cleaning data, fair tests, models and reports.

View the program
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AI Engineering

If you want to build apps instead of answering questions.

View the program
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Programs for managers

If you only need to judge the work, not do it.

View the program

What it takes

Time and format.

Format
Online and classroom
Duration
1 to 6 months, depending on the program
Start dates
New batches start through the year. You get the next date when you apply.

Questions

A little. You should know basic Python, or be ready to learn it in the first weeks.

New batches start through the year. Apply and we send you the next start date for your program.
All questions and answers

Apply

Choose your program.
Then apply.

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