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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, Data Analytics, or Data Structures & Algorithms?
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.
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.
Applied Data Support
Connect statistics, Python, and analytics into one workflow
Data science tutoring works best when the math, code, and business question are handled together instead of as separate assignments.
Choose and explain the method
Review regression, hypothesis testing, confidence intervals, assumptions, and model interpretation. For a stats-first course, start with Statistics tutoring.
Turn analysis into working code
Use pandas, NumPy, notebooks, functions, and debugging habits to make your analysis reproducible. For code fundamentals, use Python tutoring.
Communicate what the data says
If your work is mostly dashboards, Excel, SQL, cleaning, or visualization, the Data Analytics tutoring page is the better fit.
FAQ
Frequently Asked Questions About Data Science Tutoring
Get answers to common questions about data science tutoring
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 start building your data science skills—from Python fundamentals to machine learning models.
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Flexible scheduling available • Book your preferred time