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Plan your learning

Learning roadmap

A suggested sequence from the basics to practical data work. An advisor can help you choose a starting point based on your experience and the role you want to explore.

Build your skills, one step at a time.

You do not need every course for every career. Each program combines live classes with guided practice and instructor feedback.

  1. 01

    Python Fundamentals

    Build confidence with variables, functions, and notebooks.

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  2. 02

    Statistics for Data Science

    Understand distributions, uncertainty, and how to interpret results.

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  3. 03

    SQL

    Query, join, and summarize business data.

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  4. 04

    Data Analysis with Pandas

    Prepare and explore datasets with Python and Pandas.

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  5. 05

    Data Visualization

    Choose clear charts and communicate your findings.

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  6. 06

    Power BI

    Create data models and interactive business reports.

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  7. 07

    Machine Learning

    Train models, evaluate their performance, and explain limitations.

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  8. 08

    Artificial Intelligence

    Explore AI tools and evaluate their use in business tasks.

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  9. 09

    Portfolio Projects

    Refine your course projects and present your approach and results.

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  10. 10

    Internship

    Prepare applications with career guidance. Opportunities depend on employer requirements.

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  11. 11

    Data Career

    Continue practicing, developing your portfolio, and exploring career opportunities.

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Talk to an advisor

Let's find the right course for you.

Tell us about your experience, what you want to learn, and your availability. We'll help you understand your options before you register.

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Course advice, schedules, and enrollment.