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Chungtse
- Rate 332 BWP
- Response 1h
332 BWP/hr
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- Statistics
Graduate with expertise in Data Science teaches Python, Machine Learning, and Data Analytics for all levels. Personalized methodology to suit your learning needs!
- Statistics
Lesson location
About Chungtse
A passionate data science tutor with expertise in Python, machine learning, and data visualization. With a hands-on, personalized approach, they simplify complex concepts and guide students to build practical skills for real-world applications and career success. Looking forward to helping you to get where you like to reach.
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About the lesson
- Primary
- Junior Secondary
- Secondary School
- +8
levels :
Primary
Junior Secondary
Secondary School
Première
Diploma
Adult Training
Bachelor's Degree
Master's Degree
Diplomgrad
Doctorate
Early Childhood education
- English
All languages in which the lesson is available :
English
Each lesson is designed to help you build a strong foundation in data science while focusing on real-world applications. Here's what you can expect:
Introduction to Key Concepts
We’ll start by breaking down complex topics into simple, digestible pieces. For instance, understanding what data science is and its role in decision-making.
Hands-On Coding
Dive straight into coding using Python, learning libraries like pandas, NumPy, and scikit-learn. We’ll write, debug, and refine code together.
Real-World Data Exploration
Analyze actual datasets, clean messy data, and uncover insights using visualization tools like Matplotlib or Seaborn.
Practical Applications
Learn how to build predictive models, interpret results, and apply them to solve problems in fields like finance, healthcare, and e-commerce.
Interactive Problem Solving
Practice solving challenges and exercises tailored to your skill level to reinforce what you’ve learned.
Guidance on Projects
Work on personal or professional projects with step-by-step guidance, ensuring you’re building skills that are portfolio-ready.
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Rates
Rate
- 332 BWP
Pack prices
- 5h: 1660 BWP
- 10h: 3320 BWP
online
- 332 BWP/h
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