16 Modules
Master the full Data Science stack.
16 Weeks
Every Wednesday, 9AM – 12PM PST
UNM Accredited
Earn 7 CEUs with a UNM certificate.
Recommended Experience
Familiarity with basic Python skills.
Data Science Bootcamp
In today’s data-driven world, knowing how to make sense of data isn’t just nice-to-have, it’s a game changer. Whether it’s uncovering hidden trends, predicting future outcomes, or making smarter decisions, data science is the engine powering it all. This bootcamp is your starting point to dive into this exciting field and build real-world skills that actually make a difference.
No matter your background, this hands-on bootcamp is designed to take you from data curious to data confident. By the end, you’ll be ready to take on full data science projects, from asking the right questions to delivering impactful insights.
What you'll learn
- Discover how to make sense of messy datasets through exploration, visualization, and smart feature engineering
- Go beyond numbers and craft narratives that drive decisions using visual storytelling techniques
- Master core machine learning methods including decision trees, ensemble techniques, and fine-tuning strategies to boost accuracy
- Learn how to assess classification models, choose the right metrics, and avoid common pitfalls
- Understand clustering, dimensionality reduction, linear regression, and regularization to expand your modeling toolkit
- Design A/B tests, explore online experimentation, and explore real-time analytics systems that respond instantly to user behavior
Build foundational Python skills and theory to succeed in bootcamp and practical applications.
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11 Lessons
$100.00
Explore, visualize, and transform data to enhance analysis, handle issues, and improve modeling.
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14 Lessons
$100.00
Transform raw data into impactful visuals using pandas, matplotlib, and seaborn for clear communication.
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13 Lessons
$100.00
Learn to build predictive models that drive business impact while addressing data and ethical considerations.
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8 Lessons
$100.00
Learn decision tree classification, apply splitting criteria, and build models through hands-on practice.
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17 Lessons
$100.00
Apply ML concepts through the Kaggle Titanic challenge with real data and modeling.
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5 Lessons
$100.00
Evaluate classification models using precision, recall, F1 score, and ROC-AUC effectively.
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13 Lessons
$100.00