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from29.64EUR/ h
Class of statistics, computer programming, R programming
I am a graduate in data science with R programming skills. I am able to help the students with assignments, and analysis with their master thesis. My approach is very student-oriented and I explain the subjects in a detailed way so that the students understand the main idea.
Location
Online via webcam
General info
Skills:
Age: | Children (7-12 years old) Teenagers (13-17 years old) Adults (18-64 years old) Seniors (65+ years old) |
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Student level: | Beginner Intermediate Advanced |
Duration: | 60 minutes |
The class is taught in: | English, French, German, Russian |
Reviews (14)
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Hasmik was very kind and helpful, my statistics has really improved with her help.
Hasmik helped my daughter to prepare for the school tests. She managed to explain her the topics in an easy to understand way and complement the school learning.
Thanks for a great session
very nice teacher also explains very well
...
I am a graduate student in data science and very passionate about Math, Statistics. I can help students and pupils with current assignments, to prepare for class exams, tests. I am aware of the “struggle” students have with math and statistics subjects, and my tutoring methods make them to be passionate about seemingly complex subjects. I help them to understand the subjects in very practical ways and I am very student oriented. I am available on weekends and late evenings on weekdays.
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Send a message explaining your needs and Hasmik will reply soon:
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from 29.64€Online via webcam
100% Satisfaction Guarantee
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since August 2021
- 7 repeat students
- Phone number verified
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from 29.64€Online via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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Comment:
Looking to master programming and become a skilled developer?
In this course, you will learn the basics and tools to manipulate coding and programming languages as well as using them to build machine learning models. We also provide assistance to students specializing in programming and database management using SQL
Under special request, we provide courses on other programming languages.
If you have any further questions, feel free to contact us.
Coding is a powerful general-purpose programming methods. It is used in web development, data science, software prototyping, etc. Fortunately for beginners, Coding has a simple and easy to use syntax. This makes Python a great language for learning programming for beginners.
In this course, you will learn the basics and tools for manipulating python as well as its use to build machine learning models. We also provide assistance to students specializing in python programming and database management using SQL
If you have any further questions, please do not hesitate to contact us.
Join
Personalized tutoring for learning how to write code and program using the Python computer language.Personalized Tutoring for Learning Coding and Programming in Python
This online tutoring program is designed to provide you with personalized learning in computer programming with the Python language. Whether you are a complete beginner, a student looking to deepen your knowledge, or a professional eager to master Python, this course adapts to your level and specific needs. By covering the fundamentals of programming, advanced data structures, and complex problem solving, this tutoring will help you acquire the skills needed to excel in software development, data analysis, and artificial intelligence.
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Why choose this program?
- Personalized approach: Each session is perfectly adapted to your specific needs and your learning pace. You have the opportunity to ask questions at any time and benefit from personalized follow-up between each session.
- Interactive methodology: Practical learning with concrete exercises, case studies and real projects to allow you to directly apply theoretical concepts.
- Flexibility of formats: Choose between 60, 90 or 120 minute classes depending on your goals and schedule.
- Practice-oriented course: Programming is a field that is learned by doing, each course includes a large part of practice to consolidate the acquired knowledge.
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Course content:
Beginner level:
1. Introduction to Python:
- Basic syntax, data types (integers, strings, lists, dictionaries, etc.).
- Control structures: conditions (if, else), loops (for, while).
- Functions and arguments: creation and use of functions.
2. Object-oriented programming (OOP):
- Introduction to OOP: classes, objects, attributes and methods.
- Encapsulation, inheritance, polymorphism and abstraction.
- Implementation of OOP in simple projects.
3. Introduction to file management:
- Reading and writing text and CSV files.
- Data manipulation for real applications.
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Intermediate level:
1. Advanced data structures:
- Advanced lists, stacks, queues and dictionaries.
- Algorithm concepts: sorting, searching, algorithmic complexity.
- Use of Python libraries: NumPy, Pandas for data manipulation.
2. Error and exception handling:
- Introduction to exceptions and error handling in Python.
- Creation of custom error messages and handling of common exceptions.
3. Practical projects:
- Development of medium-sized projects, such as simple games or data management applications.
- Solving real-world problems, such as analyzing data from external files.
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Advanced level:
1. Advanced Libraries and Practical Applications:
- Introduction to libraries for web development (Flask, Django) and data analysis (Matplotlib, Seaborn).
- Applications of Python in artificial intelligence and machine learning with libraries like TensorFlow or scikit-learn.
- Implementation of complex projects using data analysis and visualization tools.
2. Code optimization:
- Techniques to improve the performance of Python code.
- Memory management and algorithm optimization.
3. Advanced projects:
- Development of complex projects in Python such as web applications, data analysis or large-scale data processing tools.
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Course schedule:
- 60 minutes: Ideal for tackling a specific topic, working on an exercise or exploring a concept in a targeted manner.
- 90 minutes: Allows for a more in-depth exploration of concepts, with concrete examples and interactive exercises.
- 120 minutes: Intensive format for revisions, completing complete projects or studying more advanced concepts.
Each session includes:
1. Theoretical introduction: Quick review of key concepts or introduction to new topics.
2. Live Practice: Applying concepts with exercises or code in real time, allowing for active learning.
3. Projects: Construction of real projects to put into practice the knowledge acquired.
4. Questions and answers: Time dedicated to clarifying difficult points or problems encountered during the session.
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Resources and tools provided:
- Teaching materials: Detailed course documents, practical exercises, projects to complete.
- Interactive platform: Use of digital whiteboards, screen sharing to visualize code, and real-time collaboration tools.
- Personalized monitoring: You can ask questions outside of class, receive feedback on your projects and benefit from progress monitoring.
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About the trainer:
A Python programming expert with several years of experience in teaching and practicing software development. With clear and practice-oriented pedagogy, the trainer will help you move from beginner to intermediate or improve your skills if you are already familiar with the Python language.
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Book your course now!
If you want to learn Python programming in an efficient, flexible and practical way, this tutorial is for you. Sign up today to start coding with confidence and progress quickly!