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Data Scientist — Technical Track

See the course in action

🎬 Intro video coming soon.
$15

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  • All content hours, with no expiry
  • CodeLab in the browser, nothing to install
  • AI tutor available at any hour
  • AI-graded exercises
  • Final exam and verifiable certificate + an optional field challenge for the Field Practice Validated distinction

Final exam: 2 attempts, 70% pass threshold. After a second failed attempt, a deferral period applies before retrying, with a $10.99 retake fee — see the Terms of Service.

Try lesson 1 for free, no account needed

Lifetime access. No deadline: finish in 12 weeks or in ten months.

Data Scientist — Technical Track

Python, SQL, statistics and machine learning to become a data scientist

Level
Intermediate
Duration
12 weeks
Total hours
65 h(estimated personal workload)
Price
$15

The program, module by module

  1. Module 1

    Python and SQL for Data

    Query, join and manipulate data from several sources.

  2. Module 2

    Data Cleaning

    Make a raw dataset reliable for analysis.

  3. Module 3

    Exploratory Data Analysis (EDA)

    Extract the first signals from a dataset.

  4. Module 4

    Data Visualization

    Produce charts that answer a business question.

  5. Module 5

    Inferential Statistics

    Check whether a result is statistically significant.

  6. Module 6

    Applied Machine Learning

    Build a simple predictive model for a real use case.

  7. Module 7

    NLP for Text Analysis

    Extract insights from a corpus (customer reviews, etc.).

  8. Module 8

    Data Storytelling

    Build a presentation that convinces a non-technical decision maker.

  9. Module 9

    Generative AI for Data Science

    Speed up EDA and documentation with LLMs.

  10. Module 10

    Final Project and Certification

    A full study: dataset → analysis → model → visualization → recommendations.

  11. Module 11

    Career Entry and Certification

    Certification

    Technical CV, portfolio, “data case study” interview.

How long will it take me?

Duration: 65 h (estimated personal workload)

3 h/wk ≈ 22 wks

6 h/wk ≈ 11 wks

12 h/wk ≈ 6 wks

20 h/wk ≈ 4 wks

Estimates, not deadlines. Pause for a month and pick up where you left off.

CERTIFICATE VERIFIABLE ONLINE

What you deliver at the end

Technical CV, portfolio, “data case study” interview.

See a sample certificate

How certification works

Three levels, from simplest to most demanding. Each one only claims what it actually verifies.

Attendance certificate

Earned by: Modules followed

Proves: You followed the track — no graded assessment.

Certificate of achievement

Earned by: Full track completed on the platform, final project included, and final exam passed

Proves: Your knowledge and your final project, evaluated by the platform.

Field Practice Validated distinction

Earned by: A field challenge completed after the exam, in a real situation, with evidence

Proves: A CoursTech mentor reviewed and validated a genuine real-world application.

The distinction is added to your certificate of achievement — it never replaces it: nothing off-platform ever blocks the certificate itself.

Mentor support and validation: handled on request, within 72 business hours. If no mentor is active, the distinction stays open for 12 months as planned: no learner is penalized.

Mentor sessions: limited spots, on request. Reply within 48 h.

See a sample certificate with the distinction →What your certificate proves →

$15

+ payment provider fees (~4%)

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