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Online Training: Introduction to Python for Beginners-Intermediate

From 20 C$ /h

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.

Extra information

Please bring your own computer with Python installed (we will guide you through installation if necessary).

Location

Online from Morocco

About Me

👋 Hello! My name is Hayat, passionate about programming, algorithmic logic... and languages! 🌟

With a Master's degree in modeling, scientific computing, and data science, I offer personalized courses in Python and algorithms, for all levels—from beginner to advanced.
My goal is to make each concept simple, clear and concrete, through practical examples and fun projects that develop your logical thinking and programming skills.

And because I also love sharing the richness of languages, I offer Arabic courses for foreigners, designed to teach you how to communicate easily while discovering Arab culture methodically and with pleasure.

✨ In summary: accessible, friendly and motivating courses, to learn to code, reason and speak Arabic with confidence! 🙌

Education

With a Bac+5 degree focused on advanced numerical methods, data analysis and machine learning applications, I have a solid scientific background allowing me to link theory, modeling and practice to solve complex problems effectively.

Experience / Qualifications

I gained hands-on experience through several internships focused on machine learning and artificial intelligence, including time series forecasting, real-time modeling, and AI image analysis.
I am proficient in Python, data analysis and mathematical modeling, with an approach that is both rigorous and oriented towards practical application.
I also have solid experience in tutoring, which has allowed me to develop a clear and accessible pedagogy to explain complex mathematical concepts.
Thanks to my in-depth training in statistics, algorithms and scientific computing, I know how to combine theory and practice in order to effectively solve various problems.

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Student level

Beginner

Intermediate

Duration

60 minutes

90 minutes

The class is taught in

French

Arabic

English

Skills

Python

Computer programming

Science

Reviews

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

Private Mathematics Tutoring – Middle School & High School (Morocco & International)

22 C$ /h

I have a degree in Modeling and Scientific Computing, with a strong background in mathematics and data science.

I offer private tutoring to help middle and high school students with:

Understanding the mathematical concepts of the curriculum

Succeeding in homework and exams

Prepare effectively for the Baccalaureate or other assessments

Follow the Moroccan or international program

Lessons are tailored to each student's level and pace, with clear explanations and practical exercises for rapid progress. I teach online via webcam, offering complete flexibility.

Learn Arabic for Foreigners – Reading, Writing and Conversation

17 C$ /h

This course is designed for anyone interested in learning Arabic, whether you're a complete beginner or looking to improve your skills. We'll gradually cover reading, writing, correct pronunciation, and oral communication skills through practical situations. The emphasis is on comprehension, practice, and the joy of learning a rich and vibrant language.

You will learn to:

Reading and writing the Arabic alphabet

Form simple words and sentences

Express yourself orally in everyday situations (introducing yourself, asking for directions, etc.)

Better understand the culture linked to language

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.

Mavi

5.0

(3)

I am Mavi, a physics engineer working at an aerospace company.
I have been teaching private lessons at the primary, secondary, high school, and university preparatory levels for 11 years. I teach mathematics, physics, chemistry, and science. I have a good command of the curricula of IB, IGCSE, American, Hong Kong, and international schools.

Additionally, I hold the position of president at the Astronomy Society, where I foster my students' interest in astronomy and science beyond the lessons. I prepare the learning environment by incorporating experiments and exploration, moving away from rote education. I often bring experimental materials to class, aiming to make learning memorable through hands-on experiments.

As an educational mentor, I approach my students as if they were my siblings, valuing creativity. I have a deep passion for mathematics, physics, and science. I am dedicated to helping students understand and learn because life encompasses both SCIENCE and ART. The more people I can inspire to know, understand, and love mathematics, physics, and chemistry, the more proud I am.

Are you curious about how nature works?

Let's explore together!

Magdi

5.0

(3)

Course Description
This course is designed for students preparing for AP Chemistry examinations as well as those seeking advanced support in Organic and Inorganic Chemistry.
With over 10 years of teaching experience and a background in Pharmacy, I provide structured, concept-focused online tutoring that builds both exam readiness and deep scientific understanding.
The course aligns with the official AP Chemistry curriculum framework and emphasizes analytical thinking, quantitative problem-solving, and structured exam technique.

This Course Covers:
AP Chemistry Core Topics
Atomic structure and periodic trends
Chemical bonding and intermolecular forces
Stoichiometry and quantitative analysis
Thermodynamics and kinetics
Chemical equilibrium
Acids, bases, and buffers
Electrochemistry
Laboratory data analysis and free-response question practice

Organic Chemistry
Functional groups and nomenclature
Reaction mechanisms (substitution, elimination, addition)
Isomerism and stereochemistry
Reaction pathways and synthesis strategies

Inorganic Chemistry
Periodicity and transition metals
Coordination chemistry basics
Redox reactions
Industrial chemistry principles

Giuliano

5.0

(3)

Python is a powerful and versatile programming language with countless possibilities. You can use it for data analysis, image processing, automation, software development, hardware control, and much more.

Do you want to create your own software?
Work with data or images?
Automate repetitive tasks?
Control or manage your own hardware?

Whether you are just starting to learn Python or already have a specific project and need some guidance, I would be happy to help you.

My goal is to explain things clearly, adapt to your level, and help you understand not only how to make something work, but also why it works.

Let's turn your ideas into working Python projects!

Chiwila

5.0

(3)

As a dedicated tutor with extensive experience in preparing students for standardized exams such as the SAT, GMAT, and SSAT, I understand the unique challenges that each of these tests presents. My approach is comprehensive and focuses on building a strong foundation in critical areas such as Mathematics, Quantitative Reasoning, Verbal Skills, and Analytical Writing. Each program I develop is tailored to the specific requirements of the exam, ensuring that students are well-prepared and confident on test day.

Having a deep understanding of the test formats and question types allows me to provide personalized strategies that target each student's individual strengths and weaknesses. I believe that every student has a unique learning style, and my goal is to enhance their test-taking skills while improving their time management. By fostering a supportive learning environment, I aim to boost students' confidence and empower them to achieve top scores.

My tutoring sessions incorporate a variety of effective methods, including real exam questions and timed practice tests. This hands-on approach allows students to familiarize themselves with the types of questions they will encounter, making the actual exam feel less daunting. I teach proven techniques for tackling even the most challenging problems, ensuring that students feel equipped to handle any question that comes their way.

One of the key components of my tutoring is helping students develop effective study habits. I provide guidance on creating a structured study plan that maximizes their preparation time and aligns with their personal goals. This structured approach not only keeps students on track but also helps them build a sense of accountability, which is crucial for success.

In addition to academic preparation, I also focus on the psychological aspects of test-taking. Many students experience anxiety leading up to exams, which can affect their performance. I teach relaxation techniques and mental strategies to help manage stress, allowing students to approach their exams with a calm and focused mindset. By addressing both the academic and emotional challenges of test preparation, I equip students with a well-rounded toolkit for success.

Feedback is an essential part of the learning process, and I make it a priority to provide constructive and actionable insights during our sessions. After each practice test, I conduct a thorough review of the results, highlighting areas for improvement while also acknowledging progress. This continuous feedback loop helps students understand their growth and keeps them motivated throughout their preparation.

My commitment to student success goes beyond just teaching content. I aim to inspire a love for learning and self-improvement in each of my students. Many of my former students have gone on to achieve their academic goals, securing places at prestigious universities and programs. Their success stories are a testament to the effectiveness of my tailored approach and the dedication I bring to each tutoring session.

If you're looking to master the SAT, GMAT, or SSAT with confidence, I invite you to book a session now. Together, we will develop a customized learning plan that suits your individual needs, ensuring that you are not only prepared to face the test but also equipped to excel and reach your highest potential. With my guidance and your commitment, we can achieve outstanding results. Let’s embark on this journey to success together!

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.

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

Mohamed

5.0

(3)

This fun and interactive course introduces kids and teens to the fundamentals of coding using Scratch, a visual programming language developed by MIT. Students will learn to create games, animations, and interactive stories while developing problem-solving, logical thinking, and creativity skills—all in a playful, drag-and-drop environment!
Who Should Join?
✔ Kids & teens curious about coding and game design
✔ Young learners who enjoy storytelling, art, or technology
✔ Future coders looking for a fun introduction to programming

Ammar

5.0

(3)

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.

Jude

5.0

(3)

My lessons are designed to take you from simply following code to genuinely understanding how data science works.

We can cover the complete data science process, including data cleaning, exploratory data analysis, feature engineering, visualisation, statistics, machine learning, model evaluation and communicating results.

Depending on your goals, lessons can include:

Python, pandas, NumPy and scikit-learn
Data cleaning and exploratory analysis
Regression and classification
Decision trees, random forests and boosting
Clustering and dimensionality reduction
Cross-validation and model evaluation
Feature engineering and model interpretation
Neural networks and deep learning foundations
Bayesian modelling and PyMC
Portfolio and interview preparation
Support understanding university modules and projects

I use diagrams, analogies and practical demonstrations to make difficult ideas easier to understand. We will normally begin with an intuitive explanation, look at the underlying logic or mathematics, and then implement the concept in Python.

Lessons are personalised around your level. Complete beginners receive a structured learning path, while experienced students can focus on advanced topics, project guidance, debugging or interview preparation.

You will be encouraged to explain ideas back to me, interpret results and make your own modelling decisions. My goal is not only to help you produce working code, but to help you become an independent and confident data scientist.

Fatima

5.0

(3)

Teaching python to beginners!

In these classes, you will learn the basics of python programming, functions, lists, sets, and much more with practice assignments and assessments...

I have experience in teaching python to university peers.

Doaa

5.0

(3)

I have 17 years of experience teaching science to elementary, middle, and high school students. I am passionate about science education because it helps students build knowledge, develop critical thinking skills, and apply what they learn to real-life situations. I believe that effective science teaching should not be limited to memorization but should encourage students to ask questions, explore ideas, solve problems, and think creatively. Throughout my years of teaching, I have focused on creating interactive, student-centered learning environments where students can connect scientific concepts to their daily lives and become confident, curious, and independent learners.

Sahiba

5.0

(3)

I offer friendly and personalized home tuition in English, Biology and Science for students in Classes 3–6. My lessons focus on making concepts easy to understand through clear explanations, examples, practice and interactive learning. I adapt each session to the student's level and learning style, helping them build confidence, strengthen their fundamentals and enjoy learning rather than simply memorizing.