Learn Python, SQL and MySQL databases from beginner to Advanced Level | Certified Data Science Professional

From 26 € /h

Learn
Python
SQL
Power BI
Excel
Data Science
Data Engineering
Data Analytics
Data Modeling
Data Warehousing
ETL
API's
Machine Learning
Lecture will be Hands-on, beginner friendly, solving real world problems just like I do in my job. So, if you’re just starting out like college, university student, switching careers, or preparing for a job in data field — book a trial lesson, and let’s begin your journey together. I look forward to seeing you in class!

Location

Online from Germany

About Me

I'm a certified Data Scientist, Data Engineer, and Data Analyst with over 5 years of teaching and industry experience. I’ve taught students and professionals from around the world — helping them learn Python, SQL, databases, data analytics, and cloud technologies with confidence.

My teaching style is hands-on, project-based, and tailored to each student’s level — whether you're a complete beginner, university student, or a working professional. I believe in learning by doing, and my sessions focus on solving real-world problems using tools like Python, Power BI, SQL, and Oracle.

I've led corporate training, internship programs, and 1-on-1 online tutoring sessions, and many of my students now work in tech, banking, and multinational companies.

If you're looking for personalized, practical lessons that focus on results and clarity, I’d love to help you reach your learning goals.

Education

Bachelor's in Computer Science (CGPA: 3.78/4.0) from Virtual University of Pakistan.
Focused on software development, databases, data structures, and applied machine learning. Developed strong foundations in programming (Python, C++, Java), SQL, and algorithmic thinking. Participated in academic projects related to data analysis and automation.

Experience / Qualifications

5+ Teaching Experience
Oracle Certified Data Science Professional
Certified Automation Engineer
Certified Python Developer
Certified Oracle Database Professional

Age

Children (7-12 years old)

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

Urdu

Hindi

Skills

Mysql

Python

Microsoft excel

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

Hands-on Data Skills: Python Programming, SQL Queries & Oracle Database

26 € /h

This course is designed for anyone who wants to learn practical data skills using Python, SQL, and Oracle databases. Whether you're a complete beginner or looking to strengthen your data handling skills, I’ll guide you step-by-step through core concepts and real-world projects.

You'll learn:

Python programming basics and data analysis tools for data science, data engineering and data analytics

SQL queries: SELECT, JOIN, GROUP BY, procedures, Functions and subqueries

How to work with Oracle Database: tables, indexes, stored procedures

Real-world use cases from business and data science

Best practices for clean, efficient, and scalable code

Lessons are project-based and tailored to your skill level, whether you're in school, switching careers, or preparing for a job in data or IT.

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.

Zakaria

4.88

(85)

This training adapts to your needs: Several durations and methods are offered.
The objective is to master the 3 office software of the Microsoft suite. You assimilate the essential knowledge to use Word, Excel and PowerPoint: models, style, layout, tabulations, lists, simple and advanced calculations, functions, pivot tables, design of clear and dynamic presentations, mastery of transitions and animations, etc.

Mohamed

4.88

(85)

This comprehensive course is designed to take absolute beginners with no prior coding experience to confident Python programmers. Through hands-on projects, real-world examples, and interactive exercises, students will master Python fundamentals and apply them to build applications, automate tasks, analyze data, and even explore game development.

What You’ll Learn:
🐍 Python Basics:

Syntax, variables, data types, and operators
Input/output, loops (for, while), and conditionals (if-else)

📚 Core Programming Concepts:

Functions, modules, and error handling
Lists, tuples, dictionaries, and sets

🎮 Real-World Applications:

File handling (read/write files)
Web scraping (intro to BeautifulSoup/Requests)
Basic game development (with Pygame)

🔢 Next-Level Skills (Towards "Hero" Level):

Object-Oriented Programming (OOP) – Classes & Objects
Working with APIs (fetching data from the web
Intro to data analysis (Pandas & Matplotlib basics)
Mini-capstone project to showcase skills

Salah

4.88

(85)

Optimize Your Efficiency with Microsoft Office: Unleash Your Creativity at Every Level!

If you're looking for a solution to improve the efficiency, creativity and productivity of your daily tasks, look no further than Microsoft Office.

Why Choose Microsoft Office?

Unleash Your Creativity: Word, Excel, PowerPoint and many other applications give you powerful tools to bring your ideas to life, whether you're creating professional documents, building impactful financial dashboards or designing impressive presentations.

Save Time with Automation: Excel simplifies complex tasks with smart formulas, pivot tables, and other nifty features.

Available Anywhere: Whether you're in the office, on the road, or at home, Microsoft Office is accessible on all your devices, allowing you to work wherever and whenever you want.

Join the Microsoft Office Revolution!

Don't let daily challenges slow down your progress. Invest in the power of Microsoft Office to unlock your full potential.

Transform the way you work, create easily, and reach new heights with Microsoft Office. Sign up now to master Microsoft Excel, Microsoft Word, and Microsoft PowerPoint at every level, whether you're beginner, intermediate, or advanced.

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.

Farass

4.88

(85)

Online Private Classes in Excel for Beginners

Master Excel from the comfort of your home with personalized, one-on-one training!

Why Choose Our Excel Classes?
✅ Tailored for Beginners – No prior experience needed!
✅ Flexible Scheduling – Learn at your own pace.
✅ Hands-On Training – Practical exercises & real-world examples.
✅ Certification – Get a completion certificate to boost your resume.

What You’ll Learn:
📊 Basic spreadsheet navigation & formatting
🔢 Essential formulas & functions (SUM, AVERAGE, IF, VLOOKUP)
📈 Creating charts & graphs
📑 Data sorting, filtering & basic analysis
💡 Time-saving tips & tricks

How It Works:
1️⃣ Book a Session – Choose a convenient time.
2️⃣ 1-on-1 Live Training – Interactive lessons via Zoom/Teams.
3️⃣ Practice & Improve – Get assignments & expert feedback.

Who Should Join?
🔹 Students 🔹 Professionals 🔹 Job Seekers 🔹 Small Business Owners

📩 Enroll Now! Limited slots available.

Hayat

4.88

(85)

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.

Yomna

4.88

(85)

This course is designed to introduce students aged 7 to 16 to the world of programming through two of the most widely used and industry-relevant languages: C++ and Python.

The class provides a structured, age-appropriate pathway into programming, whether the student is a complete beginner or already exploring coding through platforms like Scratch or Code.org. Emphasis is placed on understanding logic, building problem-solving skills, and writing real code in a supportive, project-based environment.

Taught by an engineering student with hands-on experience in both C++ and Python, this course empowers students to explore the power of code and build a strong foundation in computational thinking — essential for future studies in engineering, robotics, AI, or game development.

Brent

4.88

(85)

Stuck in Excel? Want to finally understand how those formulas really work? Do you need to create a pie chart of your expense report for work or school, but feel completely lost? Don’t worry! I’m here to help... at your pace, with no jargon or complicated explanations.

Whether you:
- are starting completely from scratch,
- already have some basic knowledge,
- or want to solve a specific problem,
we’ll tailor the session to your needs. No one-size-fits-all course, just practical help that actually works for you.

👨‍🏫 About me
I’ve been using Excel since I was a teenager — for personal use (like budgeting tools or calorie trackers) and professionally as part of my work and studies in data analysis. Thanks to my experience and structured approach, I explain Excel in a clear and understandable way. I know how frustrating it can be when something technical doesn’t work... and how satisfying it feels when it finally clicks.

🎯 Topics we can cover
- Smart formulas (IF, VLOOKUP, INDEX, MATCH, etc.)
- Creating charts, pivot tables, and dashboards
- Using Excel for budgeting, planning, or managing projects
- Data analysis and basic programming in Excel
- Preparing for Excel tests or improving job-related Excel skills

💻 Practical info
- Having your own laptop/PC is helpful, but not required
- Online or in-person sessions possible
- Have specific questions or files you’d like to work on? Let me know! I also have my own practice materials.

Feel free to send me a message with your question or goal. I’ll gladly look at how I can help you out!

Salem

4.88

(85)

Improve your office skills with our online private lessons on Microsoft Word, Excel and PowerPoint!
Whether you're a beginner or looking to improve your skills, our personalized courses will help you:
Master the basic and advanced features of Word, Excel and PowerPoint
Create professional documents and impactful presentations
Increase productivity and efficiency in your work
Our courses are tailored to your needs and pace. Book your session today and improve your office skills!

Asmer

4.88

(85)

Online Private Classes in Microsoft Word, Excel & PowerPoint – Master the Essentials from Home!

Unlock your full productivity potential with personalized, one-on-one online training in Microsoft Office Suite! Whether you're a student, professional, or looking to boost your digital skills, our tailored private classes in Microsoft Word, Excel, and PowerPoint are designed to meet your specific needs and learning pace.

🎯 What You’ll Learn:

📘 Microsoft Word:

Create professional documents, resumes, and reports
Format text, paragraphs, and styles efficiently
Use headers, footers, tables, and templates
Master mail merge, track changes, and collaboration tools
📊 Microsoft Excel:

Build and manage spreadsheets with confidence
Perform calculations using formulas and functions (SUM, AVERAGE, VLOOKUP, IF, etc.)
Create charts, pivot tables, and data analysis tools
Learn data sorting, filtering, and conditional formatting
📽️ Microsoft PowerPoint:

Design engaging, visually appealing presentations
Use animations, transitions, and multimedia elements
Apply themes, layouts, and master slides
Deliver impactful business or academic presentations
✅ Why Choose Our Online Private Classes?

100% customized to your skill level (beginner to advanced)
Flexible scheduling – learn at your convenience

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.

Ammar

4.88

(85)

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

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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.

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)

Arnaud

4.88

(85)

I work as a data consultant and hold a master's degree in Data Science and Statistics from UCLouvain. I use Python and data manipulation and analysis tools daily in a professional context.

I offer Python and data analysis courses for students, beginners and people wishing to develop practical skills in programming and data.

The lessons are tailored to your level and your goal. We can work on, among other things:

* the basics of Python and programming logic;
* variables, conditions, loops and functions;
* Data manipulation with Python and pandas;
* data cleaning and transformation;
* data exploration and visualization;
* applied statistics;
* solving practical exercises and projects;
* Understanding and debugging your code.

I prefer a practical approach: we start with a concrete problem or dataset, gradually build the solution, and analyze the errors encountered together.

The goal is to understand what you are doing rather than simply reproducing code, in order to gradually become self-reliant.

I can also support a project or student work by explaining the approach, the code and the methods used, without doing the work for you.