Python Programming for Biology, Bioinformatics & Data Analysis

From 46 € /h

Python is the industry-standard programming language for data analysis, machine learning, and scientific computing. This course provides hands-on, practical instruction tailored for biology students, medical researchers, and life science professionals seeking to automate research workflows and analyze biological datasets.

Drawing on my background in university lecturing and computational biology, I teach Python from foundational syntax to advanced data manipulation:
Core Python Fundamentals: Data types, loops, conditional statements, functions, and file handling (reading/writing FASTA, FASTQ, and CSV files).
Data Wrangling & Analysis: Using Pandas and NumPy for parsing genomic datasets, filtering experimental data, and statistical summaries.
Data Visualization: Creating publication-ready figures using Matplotlib and Seaborn (heatmaps, PCA plots, expression plots).
Bioinformatics Libraries: Utilizing Biopython for sequence manipulation, BLAST queries, and structural file processing (PDB).

Sessions are customized to your specific learning goals, whether you are writing your first script, working on a university project, or analyzing raw laboratory data.
Reach out to discuss your specific learning objectives or project requirements!

Location

Online from Luxembourg

About Me

I am Hadeer, an Assistant Lecturer (on leave) at Alexandria University, specializing in Biology and Genetics.

I hold a Master of Science in Biotechnology. My academic journey has provided me with a strong foundation in various fields of biology, complemented by a Professional Diploma in Bioinformatics.

Teaching and sharing knowledge has always been my passion. Over the years, I have taught a wide range of biology-related subjects, including General Biology, Genetics, and Biodiversity. My teaching experience spans from university-level courses at Alexandria University to hands-on lab sessions covering topics related to the biology and life science. Additionally, I have more than two years of experience in teaching biology to children, where I focus on creating interactive and engaging lessons that simplify complex concepts, making them accessible and enjoyable for young learners. I use a variety of teaching tools, including hands-on activities, visual aids, and storytelling, to foster curiosity and a love for science from an early age.

My teaching philosophy revolves around making complex scientific concepts accessible and engaging for students. Whether you're a high school student preparing for exams or a university student navigating advanced topics in biology and bioinformatics, I am here to help you succeed. I can also provide support with standardized test preparation, such as the GRE, focusing on the biology and analytical portions.

To know more about my teaching approach or to discuss your specific learning needs, please feel free to reach out. I look forward to helping you achieve your academic goals!

Education

Master of Science in Biotechnology, Egypt-Japan University of Science and Technology (E-JUST)

Bioinformatics Professional Diploma, Nile University

Bachelor of Science, Major in Botany; Minor in Chemistry, Alexandria University

Experience / Qualifications

Assistant Lecturer at Alexandria University with over 6 years of teaching experience in Biology, Genetics, and related subjects.

Extensive experience in bioinformatics research, including NGS data analysis and statistical analysis using R, Python, and Bash.

Proven track record of successful student outcomes and a passion for making science accessible and enjoyable.

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

English

Arabic

Skills

Python

Computer programming

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

IB Biology (SL/HL) & Secondary School Biology Exam Preparation

52 € /h

Mastering high school biology—especially the IB Biology Diploma Programme—requires both deep conceptual understanding and rigorous exam technique. This course is fully aligned with the IB Biology syllabus across all core themes: Unity and Diversity, Form and Function, Interaction and Interdependence, and Continuity and Change.

As a University Assistant Lecturer with over six years of academic teaching experience, I help students navigate both Standard Level (SL) and Higher Level (HL) topics, including:
Cell & Molecular Biology: Cell structure, membrane transport, enzymes, cellular respiration, and photosynthesis.
Genetics & Biotechnology: Nucleic acids, transcription, translation, inheritance patterns, PCR, and gel electrophoresis.
Human Physiology & Health: Organ systems, immunology, neurobiology, and hormonal regulation.
Ecology & Evolution: Natural selection, speciation, energy flow, biodiversity, and conservation biology.
HL Exclusive Content: Advanced gene expression, nucleic acid detail, tissue differentiation, and complex metabolic pathways.

Beyond theory, we focus on syllabus-specific assessment skills: step-by-step guidance on your Internal Assessment (IA) (research question design, data analysis, and statistical evaluation), mastering Paper 1 (MCQs & Data Analysis), and writing structured responses for Paper 2. Lessons are customized to your exam board and current learning pace.

Feel free to reach out to discuss your current syllabus topics or IA progress. I look forward to helping you achieve top marks!

Interactive Biology and Life Science Lessons for Primary & Middle School

46 € /h

Building a strong foundation in science early on gives young learners a huge advantage in school. This course introduces primary and lower-secondary students to key life science curriculum standards through structured, age-appropriate units designed to foster scientific thinking.

Covering primary science learning objectives, our lessons explore core topics including:
The Diversity of Living Things: Classifying plants, animals, fungi, and microorganisms, and understanding their habitats.
Human Body & Health: The major organ systems (circulatory, digestive, respiratory), nutrition, skeleton, and senses.
Plants & Ecosystems: Seed germination, photosynthesis, pollination, food chains, and environmental care.
Life Cycles & Inheritance: How organisms grow, reproduce, and pass on traits from generation to generation.

Lessons incorporate visual models, interactive diagrams, simple experiments, and structured guided practice to make abstract concepts tangible. Whether your child needs help keeping up with school coursework, preparing for key school assessments, or extending their knowledge beyond the textbook, every session is personalized to their age and confidence level.

Feel free to contact me to discuss your child's current science topics and learning goals. Let's make learning science an inspiring experience!

4.85

(13)

Engineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me

Matías

4.85

(13)

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.

Adam

4.85

(13)

doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

Amin

4.85

(13)

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

Amine

4.85

(13)

Discover programming lessons suitable for children! With a fun and educational approach, my lessons allow young minds to dive into the fascinating world of programming. Provide your children with an enriching learning opportunity in a fun and stimulating environment.

Christaul

4.85

(13)

Classes are face-to-face at the student's home or via webcam. You will learn computer science according to your level and what you want to learn. I am a computer science student so quite versatile. As far as programming is concerned, the possible languages are: HTML, CSS, PHP, Python, C and C++, for the network, introduction to software such as Cisco packet tracer, GNS3, vmware, virtual box. Introductory computer courses, even rudimentary ones, are possible. You will learn in a jovial and encouraging atmosphere, I have a lot of experience in the field of teaching and I am comfortable with children

Mohamed

4.85

(13)

In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments.

Contact me if you want to have more information about the course!

Hayat

4.85

(13)

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.

Amr

4.85

(13)

# **Master C/C++: Build the Foundation of Modern Software Development**

Unlock the power of one of the most influential programming languages in computing history! Whether you're an absolute beginner or looking to deepen your expertise, this comprehensive C/C++ course delivers structured learning from fundamentals to advanced concepts that power operating systems, game engines, and high-performance applications.

## **Why Choose This C/C++ Program?**

**Industry-Relevant Curriculum:** Learn expert guidance on the design of effective classes, functions, templates, and inheritance patterns that form the backbone of professional C++ development. Move beyond basic syntax to understand how to write clean, efficient, and maintainable code that stands the test of time.

**Templates & Generic Programming Mastery:** Go beyond introductory material with in-depth coverage of templates—the cornerstone of modern C++—enabling you to create robust, reusable code components that work across multiple data types. Discover how function templates, class templates, and variadic templates work to maximize your coding efficiency.

**Practical, Hands-On Approach:** This isn't just theory! You'll build real-world projects that demonstrate memory management, object-oriented programming, and system-level programming techniques used in today's technology landscape.

## **Your Learning Journey**

Our structured path takes you from writing your first "Hello World" program through advanced template metaprogramming, with special attention to modern C++ standards (up to C++20). You'll gain the confidence to tackle complex programming challenges and understand the "why" behind effective C++ practices—not just the "how."

## **Transform Your Career Today**

C/C++ skills remain in high demand across industries from finance to gaming to IoT. By mastering these foundational languages, you'll develop problem-solving abilities that translate to any programming environment.

Meriem

4.85

(13)

Python is today one of the most widely used programming languages in the world, both in Data Science, Artificial Intelligence, Web Development and for task automation.
In this course, I will guide you step by step according to your level:

Beginner: basics of the language (variables, loops, conditions, functions).

Intermediate: data manipulation (Pandas, NumPy), file management, object-oriented programming.

Advanced: practical projects (data analysis, machine learning, automation, API, web scraping).

My goal is to make learning clear, practical, and motivating. You'll not only learn how to code in Python, but also how to structure your projects and apply your knowledge to real-life scenarios.

Adam

4.85

(13)

🐍 Python Course – Learn to code and create your projects!

This course is for anyone who wants to:

✅ Learn Python from the beginning
✅ Strengthen their programming skills

📚 On the program:

Variables

Loops

Functions

Data structures

Practical projects for implementation

💡 How does the course work?

Clear explanations to understand the programming logic

Targeted exercises adapted to your level

Concrete projects to create your own applications

🎯 My goal:

Helping you understand the logic behind the code

Progress at your own pace

Create your own projects in Python and gain independence

Farouk

4.85

(13)

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

4.85

(13)

I offer one-to-one Programming tuition in Python, C, and C++, for GCSE Computer Science, A-Level Computing, and university students studying engineering, computer science, or related subjects. Lessons are available online or in person around Birmingham.

What I cover:

Python for beginners and intermediate learners
C and C++ programming
GCSE and A-Level Computer Science (all exam boards)
University coursework support, debugging help, and project guidance
Core concepts: variables, loops, functions, data structures, object-oriented programming, file handling, basic algorithms

How I teach:
I start by understanding exactly where you are — whether that's "I've never coded before" or "I'm stuck on a specific assignment." Then I build lessons around small, practical examples you can actually run and modify yourself. I'm patient with errors (everyone gets them), and I make sure you understand the why behind the code, not just how to copy it. For university students, I can also help with debugging, code reviews, and explaining tricky concepts in plain English.
If you or your child is preparing for exams, working on coursework, or just wants to finally feel comfortable with coding, I'd love to help.

Verónica

4.85

(13)

Primary School Teacher. I offer personalized guidance in developing lesson plans and learning activities adapted to current educational regulations. During our sessions, you will learn to structure and write a complete lesson plan, including specific competencies, assessment criteria, core knowledge, methodology, addressing diversity, evaluation, and learning situations. My goal is to help you understand each section so you can independently develop a coherent, rigorous, and high-quality lesson plan.

You will learn to design practical, creative proposals, developing the necessary skills to apply them in the classroom or in competitive examination processes.

Baia

4.85

(13)

I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects