UK Financial Data Scientist teaching Data Science and Machine Learning with Python through clear explanations, visual examples and practical

From 29 £ /h

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.

Location

Online from United Kingdom

About Me

I am a Market Operations Data Scientist working in the UK Financial Sector, with professional experience across data science, software development and financial markets.

My professional work has included financial-instrument data, pricing analysis, yield curves, predictive modelling and improving operational processes. This allows me to connect technical concepts to realistic business and financial applications rather than teaching them only as abstract theory.

Alongside my industry role, I teach data science online to students from a wide variety of backgrounds. Some are complete beginners, some are studying at university, and others are professionals preparing for a career change or developing new technical skills.

Students often value my ability to break complicated subjects into manageable steps. I use visual representations, everyday analogies and carefully chosen examples so that students understand why a method works rather than memorising commands.

My lessons are patient, structured and adapted to the individual. Whether you are learning your first pandas commands or exploring advanced machine-learning models, we will build from what you already know and work towards a clear objective.

Education

MSc Data Science,. BCS Level 4 Software Development qualification. A-Level Mathematics and Further Mathematics. Strong academic background across statistics, machine learning, programming and quantitative methods.

Experience / Qualifications

10+ years of professional experience across data, technology and financial services, including my current work as a Market Operations Data Scientist at the Bank of England. 5 years of teaching and coaching experience, specialising in Data Science, Python, SQL, Power BI, Machine Learning, Statistics and Mathematics. I teach students from complete beginner level through to postgraduate and professional projects.

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

Skills

Database

Numerical analysis

Python

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

Matías

4.88

(85)

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

4.88

(85)

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

4.88

(85)

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.

Amine

4.88

(85)

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.

Baia

4.88

(85)

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.

Mohammed

4.88

(85)

Are you ready to become the tech-savvy problem-solver everyone turns to?

Join this dynamic, hands-on class designed to unlock your full potential across four essential pillars of the digital age:

🧮 Mathematics – Strengthen your logical thinking and problem-solving skills, the foundation of all great tech minds.

🐍 Python Programming – Learn to code smart, build real-world projects, and automate anything. Python makes it fun and powerful.

🌐 Networking – Understand how the internet works from the ground up. Routers, protocols, IPs – we’ll demystify them all.

🔐 Cybersecurity – Learn how hackers think, how to protect systems, and start your journey into ethical hacking.

Aqsa

4.88

(85)

This lesson builds a solid foundation in numbers and variables by helping students understand how numbers are represented, how variables are used to express unknown values, and how they relate to real-world situations. Through clear explanations, guided examples, and practice activities, students develop algebraic thinking, logical reasoning, and confidence needed for advanced mathematics.

Ali

4.88

(85)

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.

Christaul

4.88

(85)

Do you want to learn to program or discover software development?
I offer programming courses focused on the essential basics of development with Python, one of the most widely used languages today.
In the program :
- Variables and data types;
- Conditions and loops;
- The functions;
- Data structures;
- The basics of object-oriented programming;
- Practical exercises and small projects.
The courses are suitable for students, secondary school students and adults wishing to acquire skills in computer development.

Ammar

4.88

(85)

A- SUJETS QUE VOUS POUVEZ EXPLORER ET MAÎTRISER :

1- FONDEMENTS DE PYTHON
• Variables, types de données, opérateurs, structures conditionnelles, boucles, fonctions, modules, fichiers, exceptions et programmation orientée objet
• Listes, tuples, dictionnaires, ensembles, compréhensions, débogage et écriture d’un code clair, réutilisable et bien structuré
• Jupyter Notebook, Anaconda, Visual Studio Code, environnements virtuels et gestion des packages

2- PRÉPARATION ET EXPLORATION DES DONNÉES
• NumPy et pandas pour importer, nettoyer, transformer, filtrer, regrouper, restructurer et fusionner les données
• Valeurs manquantes, doublons, valeurs aberrantes, formats incohérents, fuite de données (data leakage) et validation de la qualité des données
• Analyse exploratoire des données à l’aide de statistiques descriptives, Matplotlib, Seaborn et interprétation graphique

3- FONDEMENTS MATHÉMATIQUES
• Algèbre linéaire, vecteurs, matrices, dérivées, optimisation, probabilités et statistiques
• Fonctions de perte, gradients, mesures de distance, régularisation, vraisemblance et complexité des modèles
• Les concepts mathématiques sont expliqués en fonction du niveau de l’apprenant et des exigences des algorithmes sélectionnés

4- APPRENTISSAGE AUTOMATIQUE SUPERVISÉ
• Régression linéaire et polynomiale, régression logistique et modèles régularisés
• k plus proches voisins (k-nearest neighbours), arbres de décision, forêts aléatoires, gradient boosting, machines à vecteurs de support et classificateur naïf de Bayes
• Classification, régression, hypothèses des modèles, frontières de décision, importance des variables et interprétation des résultats

5- APPRENTISSAGE NON SUPERVISÉ
• Regroupement (clustering) par k-means, classification hiérarchique et méthodes fondées sur la densité
• Analyse en composantes principales, réduction de dimensionnalité, détection d’anomalies et découverte de structures ou de motifs
• Sélection des méthodes, évaluation de la structure des données et interprétation des résultats sans étiquettes prédéfinies

6- ÉVALUATION ET AMÉLIORATION DES MODÈLES
• Jeux d’entraînement, de validation et de test ; validation croisée ; optimisation des hyperparamètres
• Exactitude (accuracy), précision, rappel (recall), spécificité, score F1, ROC–AUC, matrices de confusion, MAE, MSE, RMSE et R2
• Sous-apprentissage, surapprentissage, compromis biais–variance, déséquilibre des classes, ingénierie des variables, sélection des variables, mise à l’échelle et régularisation

7- APPRENTISSAGE PROFOND
• Fondements des réseaux de neurones, fonctions d’activation, propagation avant, rétropropagation et descente de gradient
• Perceptrons multicouches, réseaux de neurones convolutifs, réseaux récurrents et fondements des Transformers
• TensorFlow, Keras ou PyTorch selon le projet et l’environnement de travail de l’apprenant

8- APPLICATIONS DE L’INTELLIGENCE ARTIFICIELLE
• Traitement automatique du langage naturel, classification de textes, plongements vectoriels (embeddings), analyse de sentiments et fondements des modèles de langage
• Vision par ordinateur, classification d’images, principes fondamentaux de la détection d’objets et prétraitement des images
• Systèmes de recommandation, prévision, détection d’anomalies, automatisation intelligente et applications d’aide à la décision

9- IA GÉNÉRATIVE ET GRANDS MODÈLES DE LANGAGE
• Architecture Transformer, tokens, embeddings, mécanismes d’attention, ingénierie des prompts, génération augmentée par récupération (Retrieval-Augmented Generation – RAG) et évaluation des modèles
• Utilisation d’API d’intelligence artificielle, de bases de données vectorielles, de systèmes de recherche documentaire et de flux de travail structurés utilisant l’IA lorsque cela est pertinent
• Fiabilité, hallucinations, biais, confidentialité, utilisation responsable et validation humaine appropriée

10- OUTILS ET BIBLIOTHÈQUES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras et PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel et Power BI lorsqu’ils sont utiles au projet
• Des bibliothèques supplémentaires peuvent être introduites en fonction de la spécialisation choisie et du jeu de données utilisé

11- PROJETS, RECHERCHE ET PRÉPARATION AUX ENTRETIENS
• Projets complets couvrant la préparation des données, le développement des modèles, leur évaluation, leur interprétation et la présentation des résultats
• Travaux universitaires, mémoires, thèses, projets de recherche, projets de portfolio, entretiens techniques et applications professionnelles
• Revue de code, débogage, documentation, reproductibilité, comparaison de modèles et communication des résultats

B- TUTORAT PERSONNALISÉ : APPRENDRE À RAISONNER
L’apprentissage automatique et l’intelligence artificielle deviennent beaucoup plus accessibles lorsque les mathématiques, les algorithmes, le code Python, les données et les applications concrètes sont clairement reliés entre eux.

Mes cours vous aident à aller au-delà de la simple copie de code ou de l’utilisation de modèles comme des « boîtes noires ». Vous apprendrez à définir correctement le problème, préparer les données, sélectionner un algorithme approprié, comprendre son fonctionnement, entraîner et évaluer le modèle, diagnostiquer les erreurs, améliorer ses performances et interpréter les résultats de manière rigoureuse et responsable.

Chaque cours est personnalisé en fonction de votre niveau actuel, de vos connaissances mathématiques, de votre expérience en programmation, de votre jeu de données, de votre travail universitaire, de votre projet de recherche, de votre préparation à un entretien ou de votre objectif professionnel. Nous commençons par identifier vos connaissances existantes, votre environnement logiciel, les résultats attendus ainsi que vos principales difficultés conceptuelles ou techniques. Nous établissons ensuite un plan d’apprentissage structuré.

Le premier cours gratuit combine une discussion portant sur votre parcours, vos objectifs et vos besoins en tutorat, une première évaluation de vos connaissances actuelles, une planification et une organisation personnalisées des séances, ainsi qu’un court cours d’essai afin de déterminer la méthode de travail la plus efficace.

Une séance type peut comprendre une explication conceptuelle, le développement de l’intuition mathématique, de la programmation en direct, une mise en œuvre guidée, l’évaluation des modèles, la résolution de problèmes techniques et une synthèse concise des prochaines étapes.

Vous pouvez travailler avec votre propre jeu de données, travail universitaire, projet de recherche ou problématique professionnelle, à condition que les informations confidentielles soient traitées de manière appropriée. Je peux également fournir des exemples structurés et des jeux de données adaptés à votre niveau.

Mon objectif n’est pas simplement de vous aider à exécuter un algorithme. Il est de vous permettre de comprendre pourquoi il est approprié, comment il apprend à partir des données, comment l’évaluer correctement, pourquoi il peut échouer et comment construire une solution fiable, interprétable et scientifiquement rigoureuse.

Nikita

4.88

(85)

Are you looking to learn Python programming from scratch or improve your coding skills for college, job interviews, or a career in Data Analytics and Artificial Intelligence? You're in the right place!

In this course, I provide personalized one-to-one online lessons designed for beginners, students, and working professionals. My teaching approach is practical and interactive, focusing on real-world applications rather than just theory. Every concept is explained in a simple, easy-to-understand way with plenty of hands-on practice.

### What you'll learn:

* Python Programming from Beginner to Intermediate
* Problem Solving and Coding Logic
* Object-Oriented Programming (OOP)
* File Handling and Exception Handling
* SQL and Database Basics
* Microsoft Excel for Data Analysis
* Power BI Dashboard Development
* Data Analytics Fundamentals
* Introduction to Machine Learning and Artificial Intelligence
* Interview Preparation and Project Guidance

### Why learn with me?

* Personalized lessons based on your goals and current skill level
* Step-by-step explanations with practical coding exercises
* Real-world projects to build confidence and strengthen your portfolio
* Help with assignments, academic projects, interview preparation, and career guidance
* Friendly, patient, and supportive learning environment with regular doubt-solving sessions

Whether you're preparing for exams, starting your programming journey, or aiming to build a career in Data Analytics, I'll help you gain the practical skills and confidence you need.

Book a lesson today, and let's start learning together!

Bouchouata

4.88

(85)

I am a mathematics teacher with university teaching experience. Holding a Master's degree and a State Engineering diploma, I support pupils and students in their mathematics learning with a clear, progressive method adapted to their level.
I propose private lessons for:
Middle School
High school
University students (Bachelor's degree)
I can help you in the following areas:
Algebra
Analysis
Differential and integral calculus
Differential equations
Statistics
Probabilities
Exam preparation and resits
My goal is to help you understand essential concepts, improve your study methods, and gain confidence. Each session is tailored to the student's needs, with clear explanations, progressive exercises, and detailed feedback.
Courses can be taught in French or English, online or in person depending on availability.

Sinthuja

4.88

(85)

Are you looking to learn programming from scratch or improve your coding skills? I am a software engineer with over 7 years of professional experience and currently pursuing a Master’s degree in Computer Science in Switzerland.

I offer personalized lessons in Java, Python, SQL, Object-Oriented Programming, Data Structures, Algorithms, Web Development, and Software Engineering. Whether you are a beginner, university student, or professional looking to improve your skills, I will adapt the lessons to your goals and learning pace.

My lessons include practical coding exercises, real-world examples, interview preparation, debugging techniques, and project guidance to help you build confidence and succeed

Abdelmalek

4.88

(85)

This hands-on training pathway is designed to help students kickstart any project, specifically tailored for OT labs and industrial applications. Starting from absolute scratch, students will build a strong foundation in Python programming through practical, industry-relevant concepts.

Curriculum Outline: |
01 - Python Environment Setup & Basics |
02 - Python Variables, Numbers, Bytes & Hex |
03 - Control Flow Logic Functions |
04 - Data Structures (Lists, Tuples, Dictionaries & Sets) |
05 - String Formatting, Comprehensions & Exception Handling |
06 - File IO, Pathlib & Context Managers |
07 - Object-Oriented Programming (Classes & OOP) |
08 - Standard Library, Modules & Networking Basics |

Assessment & Evaluation:
Students will take a mini-test after the completion of each module. Additionally, an Audit & Performance Evaluation report will be sent following the tests.
Duration:
5 days to 15 days (depending on the pace of the cohort)

Yaghoub

4.88

(85)

Learn Python programming with a senior software engineer and experienced educator.

This class is designed for students who want to start programming from zero or improve their existing Python skills. You will learn programming fundamentals, problem-solving techniques, object-oriented programming, and how to build real-world projects step by step.

With more than 27 years of software development experience and more than 21 years of teaching students of different ages, I focus on making programming simple, practical, and enjoyable.

Topics can be customized based on the student's goals:

* Python basics and programming fundamentals
* Variables, conditions, loops, functions
* Data structures (lists, dictionaries, sets, tuples)
* Object-oriented programming (OOP)
* File handling and working with data
* Algorithms and problem-solving
* Building practical Python projects
* Preparing for school, university, or professional programming

Suitable for beginners, teenagers, university students, and adults who want to learn programming.