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Data Science

Data Science Tutoring in Python: ML, Statistics & Projects

Get one-on-one online data science tutoring in Python to master real workflows: cleaning messy data with pandas, exploratory analysis and visualization, statistics, and machine learning with scikit-learn. Great for college classes, bootcamps, portfolio projects, and career transitions.

Also need help with Statistics, Python Programming, or Data Structures & Algorithms?

★★★★★
5.0 Rating 635+ Reviews
400+ Students Helped
300+ Hours in Data Science 3+ years tutoring

Current rate: $75/hour

Rates may increase as my schedule fills, but once you book a session, your rate is locked in. Loyalty discounts are available for ongoing students. View availability or book a free consultation.

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Data science tutoring illustration showing charts, code, and machine learning workflow

Foundations & Tools

Build strong fundamentals in Python and statistics, then apply them to real datasets with clean, repeatable analysis workflows.

  • Python (pandas, NumPy) or R for data manipulation
  • Exploratory data analysis (EDA) & visualization
  • Feature engineering & model selection basics

Machine Learning & Deployment

Learn how to train models, evaluate them correctly, and package your work into a project you can explain confidently in class or interviews.

  • Supervised & unsupervised learning (scikit-learn)
  • Model evaluation, cross-validation & metrics
  • Intro to pipelines, Docker & deployment basics

End-to-End Projects & Portfolio Support

Want something you can show? We can build a portfolio-ready project together: pick a dataset, clean it, explore patterns, train a model, validate results, and write a clear summary of what you found—just like real data science work.

FAQ

Frequently Asked Questions About Data Science Tutoring

Get answers to common questions about data science tutoring

Yes. We start from your current level and build foundations in Python (pandas/NumPy), statistics, and clean analysis workflows. Whether you're new to data science or need help with advanced topics, we'll tailor sessions to your needs.

Absolutely. We can work through real datasets end-to-end: cleaning, analysis, modeling, evaluation, and communicating results clearly. We'll help you build portfolio-ready projects that demonstrate your data science skills.

Yes—supervised/unsupervised learning, feature engineering, evaluation, and scikit-learn pipelines. A strong foundation in statistics and programming helps, and we can coordinate support across these subjects.
Testimonials

Data Science Student Reviews

Charles

Statistics, 22 Lessons

A+ in Statistics

I can't thank my statistics tutor, Chase enough for the invaluable support and guidance he provided throughout the semester. Chase's expertise in statistics is unmatched, and his passion for teaching truly shines through in every session.

Austin

Python, 4 Lessons

Adaptable tutor

Chase was very flexible with scheduling changes, which was a massive help.

Shaune

Statistics, 3 Lessons

Amazing Tutor

Chase is extremely knowledgeable and patient. He helped me finally understand statistics and make sense of my coursework.

Ready to Master Data Science?

Schedule a session to starting building your data science skills—from Python fundamentals to machine learning models.

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