Python programming course for scientists, implement your project

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From 56 £ /h

Python programming has become essential in scientific research. Do you have a Python code project that would make your research easier but don't know how to implement it? In this interactive course, we will code it together and you will learn according to your needs. Based on your project, this course will take you from installation to establishing an efficient workflow through the use of ChatGPT for programming assistance.

Target audience :
Master, PhD students or postdocs wanting to boost their research with effective Python codes. No prior knowledge is necessary.

Tutor:
Dr. Gonzague, specialist in physical chemistry with extensive experience in Python. My teaching focuses on your needs and your pace.

Location

Online from Switzerland

About Me

Academic with an interdisciplinary background (chemistry, physics, bioelectronics and engineering) and international experience. My academic career took me from the University of Freiburg to the University of Bern, with stays at the Weizmann Institute of Science (IL) and the University of Cambridge (UK). Passionate about teaching and scientific mediation, my teaching is a balance of scientific rigor and personal development. In addition to helping you with programming, I am able to understand your analyzes and advise you if necessary.

Education

PhD in Physical Chemistry (Summa cum laude), University of Bern
Master in Chemistry, University of Friborg
Bachelor in Chemistry, University of Friborg
Different certifications in science communication

Experience / Qualifications

I taught Python programming to bachelor, master and PhD students at the University of Bern. Since then, I have been doing scientific communication and data analysis consulting.

Age

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Duration

60 minutes

90 minutes

120 minutes

The class is taught in

French

English

Skills

Python

Computer programming

Science

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Gaëlle

5.0

(3)

Most kids think coding is for "smart kids" or "future programmers."
It's not. Coding is how real people solve real problems.
In this class, we skip the theory. Your child creates real things.

What they'll do:
✓ Build real projects in Scratch: a working game, an interactive animation, a story they coded
✓ Program virtual robots: solve real-world challenges (navigate a maze, automate a task, build a system)
✓ Create in Minecraft Education: design worlds, automate constructions, solve logic problems
✓ Experiment with different languages: not just learn "the right way," but understand that there are many ways to think about a problem
✓ Collaborate and share: work with other kids, get feedback, improve their work
✓ Develop logical thinking: not just for coding, but for anything: solving math problems, science challenges, real-world situations

Why this is different:
We don't teach syntax. We teach how programmers think.
Most children's coding courses say "here's the code, copy it." We teach "what problem are we trying to solve? How could we break it into steps? What options do we have?"
When your child learns to think like a programmer, they can learn any language afterward.

What they take home:
A portfolio of 3–4 completed, working projects. The ability to say "I built this." And the deep understanding that code is a tool to make real things happen.

Format: Online or Barcelona | 60–90 min sessions | Flexible pace, no prior experience needed
For curious 8-12 year olds who want to build.

Matías

5.0

(3)

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Amin

5.0

(3)

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance.
Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
- Object-oriented programming (OOP)
- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
- MATLAB and R available for engineering/science students

Why learn with me?
I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

Salah

5.0

(3)

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Dorcas

5.0

(3)

Passionate and dedicated teacher with five years of experience fostering an engaging and inclusive learning environment. I'm committed to promoting student success through personalized instruction, differentiated learning strategies, and active student engagement. Proven track record of implementing innovative teaching methods and achieving measurable improvements in student academic performance.
I offer home tution services for igcse and other curricular.
I tutor learners in both lower and upper grades English, Maths and Science and other subjects if the need be.
Duration per session is an hour and above.

Vincent

5.0

(3)

Science includes all natural science subjects; PHYSICS, CHEMISTRY, BIOLOGY and MATHEMATICS . PHYSICS deals with MECHANICS of OBJECTS while CHEMISTRY deals with CHEMICAL CHANGES of different REACTIONS.On the other hand BIOLOGY is the study of LIFE PROCESSES and different MATERIALS that SUPPORTS LIFE.Whereas , MATHEMATICS is a subject that explains DIFFERENT CONCEPTS using NUMBERS and VARIABLES.

Baia

5.0

(3)

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.

Kelvin

5.0

(3)

Hi, Tutor Kelvin here your Maths Tutor.

MATHS;
Many students fail Maths because of already defeated mindset about Maths and unsharpened analytical skills.
As an experienced Tutor, my aim is to bridge in that gap.That's to make sure no student must ever be troubled with a concept that has a solution .

Topics to be covered in MATHEMATICS are:
•Types of Numbers
•Algebra
•Sets
•Indices
•Fractions
•Functions
•Trigonometry
•Equatioms
•Probability
•Transformations
•Geometry
•Proportions
•Exponential and Decay Curves
•Distance time Graphs
•Mensuration
•Properties of a Circle
•Statistics

Q.Why you will love Maths after the lessons?
1.I will help break down concepts to the level of your understanding.
2.I will make sure that I explain all the steps required per topic.
3.At the end of the day, I could've made sure you know and understand the requirements for each question.This will be achieved by exposing you to final examination papers.
4.I make sure I teach all the topics based on the syllabus.
5.I also share useful study tips to make you excel academically.

NOTE; I am a straight forward Tutor who strives to bring out the best in every student on time.I am always innovative by using interactive mode of Teaching Methodology.

I use well structured notes and past papers.Once I teach my student/s a topic, I make sure the lesson is concluded by attempting Examination Questions together.
In addition, each lesson takes 1 hour (60 minutes) duration.That time , is fair enough to have had all the lesson objectives met.

Booking me for a class guarantees excellent grades.
I look forward to be your Tutor.Don't forget to share your review after the lesson/s.I thank you.
Best regards,
~Kelvin

Hayat

5.0

(3)

This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning.

The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.

Farouk

5.0

(3)

These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

Object-Oriented Programming is often perceived as complex or abstract.

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework

Ali

5.0

(3)

I teach Python, C and C++ one to one, online or in person around Birmingham.

Most of my students fall into one of three groups. Some are at GCSE or A-Level and need to get comfortable with a language before an exam or a coursework deadline. Some are at university, usually on an engineering or computing degree, and have hit something specific that isn't clicking: pointers, memory, recursion, object orientation, or a project that won't compile. And some are adults starting from nothing, often because work has started asking them to automate things.

Lessons are built around code you can run. I'll ask what you're working on and where you got stuck, then we write something small together, break it on purpose, and work out what the error message is actually telling you. Reading error messages properly is half of programming and almost nobody teaches it.

Areas I cover regularly:

Python from the basics through functions, data structures, file handling, object orientation and libraries like NumPy and Pandas
C and C++, including the parts that cause most of the trouble: pointers, memory management, structs, classes and compilation
GCSE and A-Level Computer Science across all exam boards, including pseudocode, trace tables and written paper technique
A-Level NEA projects and university coursework, plus debugging sessions and code review
Embedded C for Arduino, ESP32 and microcontroller projects, which is the work I do professionally

After each lesson I send written notes covering what we did, worked through step by step, so you have something to revise from later rather than trying to remember what was on screen.

First session is free and lasts 30 minutes. We use it to work out what you need and whether I'm the right person for it. If I'm not, I'll say so and point you somewhere better.

Message me with what you're studying and what's giving you trouble, and I'll tell you honestly how I'd approach it.

Jayaram

5.0

(3)

Overview

Transitioning from learning data science theory to solving actual business problems is the hardest step for any aspiring data professional. [Insert Chosen Course Title] is an intensive, mentor-led program designed to simulate a real-world data team environment. Instead of working through synthetic, pre-cleaned textbook datasets, you will take on messy, complex industry scenarios and turn them into end-to-end data products.

What You’ll Experience

End-to-End Execution: Walk through the full data lifecycle—from problem scoping and data extraction to exploratory analysis, modeling, and executive stakeholder presentation.

Industry-Standard Workflows: Work with messy real-world datasets, practice Git-based version control, write production-ready code, and structure reports that business leaders actually care about.

1-on-1 & Group Mentorship: Receive continuous code reviews, architectural feedback, and project guidance mirroring the experience of working under a Senior Data Scientist or Analytics Lead.

Portfolio-Ready Deliverables: Graduate with 2–3 complete, polished projects that demonstrate actual business value to hiring managers—not just another churn prediction copy-pasted from Kaggle.

Who This Is For
Aspiring Data Analysts, Data Scientists, and recent graduates who know Python, but want the practical experience, confidence, and portfolio needed to land high-impact roles in the industry.

Arkan

5.0

(3)

Python is one of the easiest and most in-demand programming languages in today's job market, used in artificial intelligence, data analysis, web development, and game development. As an IT teacher with experience in school teaching, I designed these lessons to be practical and interactive:

Programming basics (variables, conditions, loops)
Solve realistic exercises and small projects
A simplified approach perfectly suited for beginners with no prior experience.
Suitable for students who want support with their school curriculum (IGCSE/British/American) or anyone who wants to start programming from scratch

Elizabeth

5.0

(3)

I am a PGCE and QTS-qualified primary teacher with experience teaching across KS1 and KS2 in British and international settings. I offer personalised tutoring to help children build confidence, strengthen their understanding and make progress in their learning.

Sessions can be tailored to your child’s individual needs and may focus on English, reading, writing, phonics, mathematics or science, as well as homework support and preparation for school assessments.

I use engaging, age-appropriate activities and adapt my teaching to each child, providing the right level of challenge and support. My aim is not simply to help children complete their work, but to help them become more confident and independent learners.

Materials:
I provide the learning materials required for each session, tailored to your child’s age, ability and individual learning needs. These may include teacher-created resources, worksheets, reading materials, phonics activities, interactive exercises and practical learning activities. Where appropriate, I may also use digital resources to make sessions engaging and interactive.

Curriculum Flexibility:
Although I have extensive experience teaching the British curriculum, my tutoring is not limited to one curriculum. I welcome children from a range of educational backgrounds and can adapt lessons to support their individual needs, whether they require help with English, mathematics, reading, writing, phonics or science. I also have experience teaching English as a second language (ESL) and can support children who are developing their English language skills alongside their wider learning. I am happy to work alongside your child’s current school programme to reinforce learning, address gaps in understanding or provide additional challenge.

Anatole

5.0

(3)

A patient and passionate instructor offers a customized learning path in Java, JavaScript, or Python. The goal of this course is to enable you to develop strong algorithmic thinking skills, regardless of your starting level. Throughout the course, active listening and patience are emphasized to ensure that no question goes unanswered. The sessions are highly interactive, and the problem is broken down step by step.