1st lesson free
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Ryan
- Rate 341 BWP
- Response 1h
-
Students1
Number of students Ryan has accompanied since arriving at Superprof
Number of students Ryan has accompanied since arriving at Superprof
341 BWP/hr
Contact
1st lesson free
- Python
- Artificial Intelligence
- R (language)
Data science grad student and AI research assistant teaches Python and R for data analysis, statistics and machine learning, from beginner to university level
- Python
- Artificial Intelligence
- R (language)
Lesson location
About Ryan
I'm Ryan, a Computer Science graduate (East Carolina University) now pursuing a Master's in Data Science. As a research assistant in engineering, I build machine learning models that forecast energy demand, using Python every day. I also run a small AI automation studio for small businesses.
I remember what it's like to be confused by a new language or a stats concept, so I explain things step by step, in plain language, and at your pace. Lessons in English or French.
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About the lesson
- Primary
- Junior Secondary
- Secondary School
- +14
levels :
Primary
Junior Secondary
Secondary School
Première
Standard 7
Diploma
Supérieur
Adult Training
Master's Degree
Doctorate
MBA
Early Childhood education
Beginner
Intermediate
Advanced
Professional
Children
- French
- English
All languages in which the lesson is available :
French
English
Learn to work with real data in Python or R, whether you're starting from zero or stuck on a university assignment.
Who it's for:
- College and grad students in data science, statistics, CS, business analytics, engineering or research methods courses
- Professionals moving into data analysis or automating repetitive work
- Complete beginners who want a practical first programming language
What we can cover:
- Python and R fundamentals: variables, loops, functions, clean code habits
- Data analysis with pandas, NumPy and tidyverse: cleaning, reshaping and summarizing data
- Visualization with matplotlib, seaborn and ggplot2
- Statistics in practice: descriptive stats, hypothesis tests, regression
- Machine learning with scikit-learn: classification, regression, time series forecasting, model evaluation
- Jupyter notebooks, Google Colab and project structure
- Help understanding course material and debugging your own code (I explain and guide; I don't do graded work for you)
How a lesson works:
1. We start from your goal, a course topic or a dataset you care about
2. I explain the concept, then you write the code while I guide you
3. You leave with working code and notes you can reuse
I use Python daily in my graduate research on AI forecasting models, so lessons are grounded in how data work is really done. Lessons in English or French.
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Rates
Rate
- 341 BWP
Pack prices
- 5h: 1,498 BWP
- 10h: 2,861 BWP
free lessons
The first free lesson with Ryan will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
online
- 341 BWP/h
Details
Your first 1-hour lesson is free: we set your goals and build a plan together. Packs of 5 or 10 hours come at a lower hourly rate. All lessons are online by video call with screen sharing, so you only need a computer and an internet connection. Everything we use (Python, R, Jupyter, Google Colab) is free.
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