Python Programming for Data Analysis, Data Science and OOP

From 23 $ /h

- Python Programming is currently the most utilized tool in the data analysis world. Its ease-of-use and wide variety of packages/libraries makes it a most valuable skill to have for a student wanting to get started in the world of data analysis and Object Oriented Programming.

- This course is geared towards beginners and intermediates who are interested in a hands-on approach to learning without neglecting the scientific background of the covered material, which will include the following:
* Introduction to Python Programming
* Understanding of OOP concepts and use-cases
* Crash course in statistical analysis concepts
* The usage of specified analysis libraries like Pandas and Numpy
* Introduction to Data science
* Neural Networks

Extra information

- Students should have their own PC/Laptop

Location

Online from Germany

About Me

I am an Automation Software Engineer working and studying in Germany for Masters degree in Industrial IT and Automation.

I have experience in industrial settings as an Automation Engineer with focus on SPS programming and development of Software tools using python. I also have experience in research settings working on data analysis, database systems and programmable boards (Raspberry Pi/Arduino, etc)

Education

Bachelors' Degree in Electrical Power and Machines Engineering- Alexandria University, Egypt
Masters' Degree in Industrial Automation and IT- TH Koeln, Germany

Experience / Qualifications

- Automation Engineer- Soulintec Encon
*Creation and development of automation infrastructure with Programmable Logic Controllers (SPS) and SCADA systems.
- Working Student Software - Aptiv
*I was responsible for development, maintenance and modification of software tools that offer assistance to software lifecycle tracking and also for reporting and metrics purposes
- Research Assistant - TH Koeln
* Worked on multiple research projects that include Indoor farming, Computer vision and data processing for industrial inspection of transparent objects.

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Student level

Beginner

Intermediate

Duration

90 minutes

The class is taught in

English

Arabic

Skills

Computer programming

Numerical analysis

Software engineering

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

Youssef

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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

Yas

4.85

(13)

With years of experience as an engineer in Belgium and the Netherlands, I would like to help other students navigate the sometimes complex world of mathematics and physics. During my studies, I tutored for six years in secondary schools in the regions of The Hague, Delft, Rotterdam, and Antwerp. In doing so, I aim to review the subject matter interactively with the student and link theoretical concepts as much as possible to examples from our daily lives to prepare and motivate the student.

So if you would like tutoring on one or more subjects in mathematics or physics, you can contact me.

Amin

4.85

(13)

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.

Adam

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(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

Enrique

4.85

(13)

Don't settle for anything less than excellence.
I am an Aerospace Engineer with a Master's degree in Quantum Physics and have completed Ph.D. work at the University of Cambridge in Computational Physics. Additionally, I have 4 years of experience developing MATLAB and possess deep programming skills in MATLAB/Simulink family, C/C++, Fortran, and Python.

With over 12 years of tutoring experience, I have successfully guided more than 50 students worldwide to achieve distinction in various fields. Consistent results are my priority, and I strive for excellence in all aspects of my teaching.

My lessons are customized to meet each student's unique needs and are designed to be engaging and insightful.

Whether you are at a school level or require advanced or professional-level instruction, I offer support in the following areas:
- Preparation for IB/IA, A-Levels, GCSE, University Entry, or equivalent.
- Experience in preparing students to access world-class schools and universities, including Cambridge University, Oxford, Ivy League and other top institutions in the UK and US.
- University levels (undergraduate and postgraduate).
- High school studies and diploma programs.
- Assistance with specific projects at a professional level, including job interview preparation.
- Extensive experience working with children.

Every lesson is meticulously planned in advance to ensure that it aligns with your goals and targets areas for improvement.
I prioritize a dynamic and interactive learning experience, with one-on-one sessions tailored to your individual requirements. Lessons will be conducted via webcam, enabling you to connect from anywhere.

I have a highly flexible schedule and can adapt to accommodate your needs.
If you have any questions about my teaching method, availability, or pricing, please don't hesitate to reach out. I am here to assist you and provide the support you need.

Mohamed

4.85

(13)

Does your child understand mathematics, but their results don't reflect their effort?

He gets average grades despite his hard work?
He understands the lesson but loses points in the exercises?
Is he lacking in method, precision, or confidence?
Does he want to move to a higher level and achieve better results?

I can help him identify what is causing him to lose points and to implement a more effective work method.

I am a mathematics teacher with 15 years of teaching experience and hold a Master's degree in mathematics. I tutor middle and high school students, particularly in the French and Moroccan curricula.

🎯 UNDERSTANDING WHY GRADES ARE NOT IMPROVING

Two students with the same grade can have completely different difficulties.

One may lack basic knowledge.
The other person may understand the lesson but not know how to solve the exercises.
Another person may have the necessary knowledge but lose many points due to errors in calculation, reasoning, or writing.

That is why I begin by identifying the difficulties that are actually limiting the student's progress.

📈 HOW TO IMPROVE RESULTS?

We are working specifically on:

• a thorough understanding of the course;
• mastery of fundamental concepts;
• the solution method;
• the analysis of the statements;
• mathematical reasoning;
• calculation and logic errors;
• drafting the solutions;
• exercises of progressive difficulty;
• time management during checks;
• autonomy in the face of exercises.

The goal is not to do dozens of exercises without a method.

We seek to understand the errors, correct bad habits and gradually build effective automatic processes.

🧠 A METHOD TO BECOME MORE INDEPENDENT

During the sessions, I am not simply trying to provide the solution.

I guide the student so that they gradually learn to:

Understand → Analyze → Choose a method → Solve → Verify

This approach allows the student to better manage exercises when working alone.

The goal is for him to need less and less help over time.

📚 FOR STUDENTS WHO WANT TO IMPROVE

This support can be particularly useful for a student who:

• wants to improve his grades;
• wants to consolidate his knowledge;
• aims for better results in controls;
• wants to get ahead of the program;
• prepares for an important year;
• wants to gradually prepare for the Brevet or the Baccalaureate;
• understands the concepts but lacks effectiveness in exercises.

I adapt the exercises and the pace of work to the actual level of each student.

💻 INTERACTIVE ONLINE COURSES

The classes are held remotely using Google Meet and an interactive whiteboard.

The student actively participates throughout the session: he searches, answers questions, completes exercises and explains his reasoning.

I can also send screenshots of the work done during the session so that the student can review the important concepts after the lesson.

🏆 15 YEARS OF EXPERIENCE

With 15 years of experience in teaching mathematics, I have supported students with very different levels, objectives and difficulties.

For my final year students who were tutored in mathematics, I achieved a 100% success rate in the Baccalaureate, with 75% obtaining a distinction of "Bien" or "Très Bien".

My goal is to use this experience to provide personalized and practical support.

👨‍🎓 LEVELS

• College
• 5th
• 4th
• 3rd
• High school
• Second
• First
• Final year
• French and Moroccan programs

📩 DO YOU WANT YOUR CHILD TO PROGRESS?

In your message, simply tell me:

• its level;
• his current average in mathematics;
• the difficulties he encounters;
• its objective.

This will allow me to better understand his situation and determine the points to work on as a priority.

My goal is simple: to help the student better understand mathematics, correct their mistakes, improve their methods and make lasting progress.

Salah

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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.

Vikash

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Master the art of web design and development with personalized 1-to-1 online tutoring in Python, PHP, and Other server side programming languages.

Whether you're a beginner looking to build your first web project or an experienced developer aiming to refine your skills, our customized tutoring sessions are designed to help you achieve your goals.

I really happy to teach people who will really want to part of my lesson.

My teaching style is the step by step oriented. We will start from basic and move towards advanced topics.

A very warm welcome my students on apprentus.com

Wish you all the best.

Baia

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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.

Mariem

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Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.

Mohamed

4.85

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This course is for anyone who wants to learn to program in Python, whether you are a student, a professional, or simply curious.
Python is one of the most widely used languages today, thanks to its simplicity and power. You'll learn how to write your first programs, manipulate data, automate tasks, and understand the essential foundations of modern programming.
The objective is to make you independent in developing your own projects (scripts, small software, data analysis, etc.) and acquire a skill sought after in the academic and professional world.

Wissem

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I teach coding to beginners and intermediate students.
Lessons focus on logic, basic programming, and practical exercises.
Classes are adapted to the student’s pace.
Students can choose between website or mobile app development.Hands on dev

Vikas

4.85

(13)

Experienced Programming Language Tutor with 10+ years of teaching experience in Python, HTML, CSS, and JavaScript. I provide step-by-step, practical-oriented learning designed for beginners, students, and aspiring developers. My teaching approach focuses on real-world projects, hands-on coding exercises, and easy-to-understand explanations to help students build strong programming skills confidently.

What You Will Learn:
Python Programming Fundamentals to Advanced Concepts
HTML for Website Structure
CSS for Modern Web Design & Styling
JavaScript for Interactive Web Development
Real Projects and Practical Assignments
Debugging and Problem-Solving Techniques
Frontend Development Basics
Teaching Style:
Step-by-step guidance
Beginner-friendly explanations
Practical and project-based learning
Live coding sessions
Personalized support and doubt clearing
Easy learning methods with real examples

Perfect for:

School & college students
Beginners in coding
Future web developers
Anyone wanting practical programming skills

Ammar

4.85

(13)

A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

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B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

منال

4.85

(13)

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