Accelerate Your Machine Learning Skills: Learn from a PhD graduate, academically trained with professional and academic experience

From 111.77 £ /h

SERVICES
I can offer my assistance with Data Analysis, Data Science, Quantitative Methods, Analysis, Statistical Modelling, Forecast, Regression, Coding, Python, Matlab, Excel statistical software and packages such as Stata, R and Database languages such as SQL, Oracle, MySql and other Business-related subjects (with coding and programming if you are interested in it).
I understand that there are different kinds of learning methods, so as long as you can find your style and the appropriate method, I believe that you can get twice the result with half the effort. I have been told to be good at breaking down complex statistical and modelling concepts, explaining them in diagrams, and also relating them to their uses in our daily lives. I can help you to understand statistics, econometrics, linear regression, forecast modelling, statistical modelling, quantitative methods, as well as introducing you to the fast-growing field of Data Analysis and Data Science. I can teach how to use Python, Matlab, Stata, R, Sas, R, Excel, SQL, Oracle, MySql and many more.

- Statistics
- Machine Learning
- Deep Learning
- Probability
- Linear Regression
- Statistical Modelling
- Analysis
- Data Analysis/Science
- Modelling
- Forecasting model
- Time Series Analysis
- Quantitative Methods
- Python
- Matlab
- Stata
- R
- Sas
- Excel

EXPERIENCE AND EDUCATION
- PhD graduate in Finance, with 5 years of research experience and scientific contribution in the field of empirical asset pricing with focus on equity factor models, machine learning for asset pricing, regime switching models, sentiment analysis, and portfolio construction
- Freelance tutor and consultant in Finance, Data Science, Python, Statistics, and Econometrics for 3 years with 1500+ hours delivered to 150+ students and customers internationally
- Former financial analyst with 4 years of experience in design and realization of prototypes of several financial algorithms of a proprietary software for portfolio management, analysis, and consulting
- Experienced in written and oral communication to various audiences, from academic students to financial industry leaders and professionals through reviewing, editing, teaching, consulting, and oral presentations
- Former University Teaching Assistant, strong analytical background with extensive classroom and online teaching experience, MSc in Quantitative Finance, Bachelor of Science in Economics and Finance
- Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, Sas, Stata, R, SQl/Oracle and Excel.
- I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment.
- I have learnt to adapt to different needs and learning styles according to the student, in order to optimise their success in turning their weaknesses into strengths.
- I'm patient, friendly and understanding. I am proficient in research and development and it’s my day to day work. I am a photography enthusiast and an insatiable learner.

GREETINGS
My goal is also to inspire further study that will lead to an interesting and successful career. If you need further information about myself or my services, please do not hesitate to contact me. Feel free to send me a message and I'd be happy to give you an informal consultation.

Thank you for looking at my profile and hope to hear from you soon,
Andrea

Location

Online from Hong Kong

About Me

EXPERIENCE AND EDUCATION
- PhD graduate, current research focuses on Machine Learning for Asset Pricing (Finance)
-2500+ hours of tutoring and consulting to 300+ students/clients
- Financial Management University Teaching Assistant.
- Academically trained to teach.
- Strong Analytical background with extensive classroom and online teaching experience.
- MSc in Quantitative Finance, Bachelor of Science in Economics and Finance.
- 4 years of experience as a Financial Analyst in a Fintech company.
- For the last 2.5 years I have tutored, in Hong Kong and online, Statistics, Mathematics, Data Analysis and Italian language, both with private face-to-face tutoring as well as small groups, with students ranging from 5 years old to adult learners.
- Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, Sas, Stata, R, Sql/Oracle and Excel.
- I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment.
- I have learnt to adapt to different needs and learning styles according to the student, in order to optimise their success in turning their weaknesses into strengths.
- Since my academic background is Economics and Finance, I would be more than happy to assist you with substantive work too in that field.
- I'm patient, friendly and understanding. I am proficient in research and development and it’s my day to day work. I am a photography enthusiast and an insatiable learner.

I can offer my assistance with Finance, Financial Management, Corporate Finance, Investment and related subjects (with coding and programming if you are interested in it).

I can also offer my assistance with Statistics, Mathematics, Econometrics and Data Analysis/Science and other Business-related subjects (again with coding and programming if you are interested in it).

I am at your disposal for any help/assistance/consultation you would need for the writing of your thesis/dissertation/assignment/project/presentations/essay in Business, Management, Finance, Economics, Data Analysis, Data Science, Statistics and more. I can provide feedback post-reviewing as well as prior to editing should the person want to discuss how much editing/preferred form of editing needs to be described. Provide a valuable second set of eyes to your work. I also help with university courses.

Education

- PhD Graduate, current research focused in Machine Learning for Asset Pricing (Finance)
- MSc in Quantitative Finance, Bachelor of Science in Economics and Finance

Experience / Qualifications

- 6 years PhD researcher, 3 years academic assistant, 4 years financial analyst
- for the last 2.5 years I have tutored, in Hong Kong and online, Statistics, Mathematics, Data Analysis, Finance, CQF, both with private face-to-face tutoring as well as small groups

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

Italian

Skills

Computer science

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

PhD Finance, Financial Management, Business, Econometrics, Economics, Investments (+coding) tutor

105.89 £ /h

SERVICES
I can offer my assistance with Finance, Financial Management, Corporate Finance, Investment and related subjects (with coding and programming if you are interested in it).
I understand that there are different kinds of learning methods, so as long as you can find your style and the appropriate method, I believe that you can get twice the result with half the effort. I have been told to be good at breaking down complex scientific concepts, explaining them in diagrams, and also relating them to their uses in our daily lives. I can help you to understand Finance, Economics, Econometrics, Investments and Business-related subjects (Financial Management, Financial Analysis, Investments, Portfolio Theory and Management, Budgeting, Asset Pricing, Forecasting Models and many more) as well as introducing you to the fast-growing field of Data Analysis and Data Science.

- Asset Pricing
- Bond Pricing & Valuation
- Capital Allocation
- Capital Asset Pricing Models (CAPM)
- Corporate Finance
- Derivatives
- Econometrics
- Economics
- Game Theory
- Finance
- Financial Economic Analysis
- Financial Economics
- Financial Management
- Financial Market
- Financial Planning
- Financial Statement
- Forecasting Financial Series and Data
- Fundamental Financial Concepts
- International Finance
- Investment management
- Macroeconomic
- Mergers & Acquisitions
- Microeconomic
- Portfolio Theory and Management
- Pricing Model Theory
- Quantitative Methods
- Research Methodology
- Risk Returns

EXPERIENCE AND EDUCATION
- PhD graduate in Finance, with 5 years of research experience and scientific contribution in the field of empirical asset pricing with focus on equity factor models, machine learning for asset pricing, regime switching models, sentiment analysis, and portfolio construction
- Freelance tutor and consultant in Finance, Data Science, Python, Statistics, and Econometrics for 3 years with 1500+ hours delivered to 150+ students and customers internationally
- Former financial analyst with 4 years of experience in design and realization of prototypes of several financial algorithms of a proprietary software for portfolio management, analysis, and consulting
- Experienced in written and oral communication to various audiences, from academic students to financial industry leaders and professionals through reviewing, editing, teaching, consulting, and oral presentations
- Former University Teaching Assistant, strong analytical background with extensive classroom and online teaching experience, MSc in Quantitative Finance, Bachelor of Science in Economics and Finance
- Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, Sas, Stata, R, SQl/Oracle and Excel.
- I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment.
- I have learnt to adapt to different needs and learning styles according to the student, in order to optimise their success in turning their weaknesses into strengths.
- I'm patient, friendly and understanding. I am proficient in research and development and it’s my day to day work. I am a photography enthusiast and an insatiable learner.

KEYWORDS
| Data Analysis | Derivatives | Econometrics | Economics | Excel | Finance | Corporate Finance | Financial Management | Financial Market | Financial Statement | Investment management | Macroeconomic | Matlab | Microeconomic | Pandas | Portfolio Theory and Management | Pricing Model Theory | Programming | Python | Quantitative Methods | Research Methodology | Securities Analysis | SQL | Statistical Modelling | Statistics | Time Value of Money | Valuation |

GREETINGS
If you need further information about myself or my services, please do not hesitate to contact me. Feel free to send me a message and I'd be happy to give you an informal consultation.

Thank you for looking at my profile and hope to hear from you soon,
Andrea

PhD Economics, Econometrics Microeconomics, Macroeconomics (+coding) tutor

111.77 £ /h

SERVICES
I can offer my assistance with Economics, Econometrics, Microeconomics, Macroeconomics and related subjects (with coding and programming if you are interested in it).
I understand that there are different kinds of learning methods, so as long as you can find your style and the appropriate method, I believe that you can get twice the result with half the effort. I have been told to be good at breaking down complex scientific concepts, explaining them in diagrams, and also relating them to their uses in our daily lives. I can help you to understand Finance, Economics, Econometrics, Investments and Business-related subjects (Financial Management, Financial Analysis, Investments, Portfolio Theory and Management, Budgeting, Asset Pricing, Forecasting Models and many more) as well as introducing you to the fast-growing field of Data Analysis and Data Science.

- Macroeconomic
- Microeconomics
- International Economics
- Econometrics
- General Economics
- Economics
- Forecasting Financial Series and Data
- Fundamental Financial Concepts
- International Finance
- Portfolio Theory and Management
- Quantitative Methods
- Economic Methodology
- Economic Theory
- Political Economy
- Mathematical Economics

EXPERIENCE AND EDUCATION
- PhD graduate in Finance, with 5 years of research experience and scientific contribution in the field of empirical asset pricing with focus on equity factor models, machine learning for asset pricing, regime switching models, sentiment analysis, and portfolio construction
- Freelance tutor and consultant in Finance, Data Science, Python, Statistics, and Econometrics for 3 years with 1500+ hours delivered to 150+ students and customers internationally
- Former financial analyst with 4 years of experience in design and realization of prototypes of several financial algorithms of a proprietary software for portfolio management, analysis, and consulting
- Experienced in written and oral communication to various audiences, from academic students to financial industry leaders and professionals through reviewing, editing, teaching, consulting, and oral presentations
- Former University Teaching Assistant, strong analytical background with extensive classroom and online teaching experience, MSc in Quantitative Finance, Bachelor of Science in Economics and Finance
- Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, Sas, Stata, R, SQl/Oracle and Excel.
- I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment.
- I have learnt to adapt to different needs and learning styles according to the student, in order to optimise their success in turning their weaknesses into strengths.
- I'm patient, friendly and understanding. I am proficient in research and development and it’s my day to day work. I am a photography enthusiast and an insatiable learner.

KEYWORDS
| Data Analysis | Derivatives | Econometrics | Economics | Excel | Finance | Corporate Finance | Financial Management | Financial Market | Financial Statement | Investment management | Macroeconomic | Matlab | Microeconomic | Pandas | Portfolio Theory and Management | Pricing Model Theory | Programming | Python | Quantitative Methods | Research Methodology | Securities Analysis | SQL | Statistical Modelling | Statistics | Time Value of Money | Valuation |

GREETINGS
If you need further information about myself or my services, please do not hesitate to contact me. Feel free to send me a message

Thank you for looking at my profile and hope to hear from you soon,
Andrea

Adam

4.81

(26)

Advanced mathematics and statistics often present one of the main challenges encountered at university. Many students understand the lectures but find themselves stuck as soon as they have to solve exercises or prepare for exams on their own.

For over 35 years, I have been supporting undergraduate students, BUT, PASS, business school students, as well as adults undergoing professional retraining, to help them acquire an effective work method and succeed in their exams.

Subjects taught
Analysis
Linear algebra
Matrices and linear systems
Functions and optimization
Descriptive statistics
Probabilities
Hypothesis testing
Estimate
Introduction to Python or SQL when the program requires it
A clear and progressive method

Each session is tailored to your course of study and your objectives.

We work from your lectures, tutorials, exercises or past papers to precisely target the concepts that are causing problems.

The goal is not just to succeed at one exercise, but to understand the method that will allow you to solve others independently.

Session Procedure

The courses take place entirely online with screen sharing and an interactive digital whiteboard.

We alternate explanations, demonstrations and exercises with live corrections in order to immediately check understanding and progress effectively.

Available formats

60-minute session

Ideal for preparing for a tutorial, understanding a difficult concept or getting stuck on an exercise.

90-minute session

Recommended for refresher courses, exam preparation, or in-depth study of a chapter.

My commitment

My goal is to help you understand mathematics in a lasting way rather than simply memorizing calculation methods.

You will progress not only in your current exam, but also in the courses that will follow in your curriculum.

Whether you are preparing for a midterm, a competitive exam, a semester validation or a return to studies, I will be happy to support you in your success.

Antonin

4.81

(26)

Need a catch-up, tutoring, private lessons or help with homework in mathematics? In computer science ? In logic?
I'm here for you!
I offer you a personalized approach; because there is no one method that works for everyone, I adapt to the needs and requests of each student (and their parents). The first hour of class will be used to define the student's needs, deadlines and strengths.
My courses are aimed at secondary school students of all levels, higher education students and anyone wishing to refresh or strengthen their knowledge of mathematics and computer science. I have been helping friends and acquaintances on a voluntary basis for a long time in the success of their studies and I hope to be able to put this experience to the benefit of your success :)

Florian

4.81

(26)

Experienced and patient teacher of logic for computer science.

I have taught logic, formal languages and automata theory to undergraduates for six years. My tutoring is adapted to the student's level and goals. Whether you need to learn logic for your studies, or you would simply like to know more about the subject, I will be more than happy to help you improve your understanding and skills.

Logic
The sciences presuppose a certain standard of rationality. An ability to distinguish between correct reasoning and claims that do not follow from the assumptions. In this class we study the basic principles of logic and apply mathematical techniques to the study thereof.
Topics include:
Propositional and Predicate Logic
Syntax and semantics
Natural deduction
Semantic tableaux
Correctness and soundness
Completeness

Formal languages and automata
A formal language is an abstraction of general characteristics of programming languages. Such a languages consists of a set of symbols together with some rules to determine whether a string made up out of those symbols is a member of the language.

Topics include:
Regular languages, context-free languages
Finite automata, pushdown automata, Turing machines
Regular expressions
Regular grammar, context-sensitive grammar
Pumping lemmas for regular and context-free languages

Baia

4.81

(26)

Want to learn Revit and AutoCAD for engineering and BIM projects?

This course is designed for beginners, university students, and aspiring engineers who want to develop practical skills in electrical design, BIM workflows, and technical drafting.

No previous experience is required.

Students can also receive help with:
- university assignments
- BIM and Revit projects
- technical drawings
- portfolio development
- internship preparation

Lessons are adapted to the student’s level and learning goals.

Mohamed

4.81

(26)

This course provides a hands-on approach to mastering Apache Airflow, a powerful open-source workflow automation tool widely used in ETL (Extract, Transform, Load) processes. You will learn how to build, schedule, monitor, and optimize data pipelines, ensuring data reliability and efficiency in production environments. Through real-world examples and projects, you will gain the skills required to become a proficient Data Engineer capable of handling complex workflows in modern data ecosystems.

This course will allow you to build multiple real-world ETL workflows using Apache Airflow. Let me know if you would like additional information! 🚀

Vincent

4.81

(26)

With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world.

Expertise & Teaching Areas:
✅ Programming & Software Development: Python, Java, C++
✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

Curriculum & Pedagogical Experience:
🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking.
🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

Professional Impact:
📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
📌 Guided students in project-based learning, including app development and website design.

With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.

Dr.Ibrahim

4.81

(26)

This course provides a foundational understanding of Information Technology, data centers, covering architecture, power & cooling, networking, storage, virtualization, security and lots more. Learn best practices for efficiency, scalability, and reliability while exploring emerging data center solutions. Ideal for IT professionals, engineers, and facility managers involved in data center deployment or management.

This course offers a comprehensive exploration of Information Technology, data center infrastructure, guiding students through the entire lifecycle—from initial design and planning to day-to-day operations and long-term performance optimization. Students will learn the critical components of data center design, including site selection, power and cooling systems, space planning, networking, and physical security. The course also covers operational best practices, monitoring tools, energy efficiency strategies, disaster recovery planning, and emerging trends. By integrating technical, environmental, and management perspectives, students will gain the knowledge and skills required to build and maintain high-performance, cost-effective, and sustainable data center environments.

Dr.Ibrahim

4.81

(26)

This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.

Zakariae

4.81

(26)

This course is aimed at non-Arabic speakers wishing to learn Arabic in a simple, progressive and practical way, while discovering Moroccan pronunciation (darija).
It is accessible to all beginner levels, and requires no prior knowledge.
Through an interactive method, you will learn:
The basics of the Arabic alphabet and correct pronunciation.
Essential expressions for everyday communication.
The construction of simple sentences (present, past, future).
Useful vocabulary: family, food, time, travel, emotions...
An introduction to Moroccan Darija, to understand and speak easily with Moroccans.
The course is suitable for:
Adults, students and travellers.
People wishing to discover Moroccan culture.
Learners seeking patient, clear and motivating support.
I provide :
Structured course materials (PDF + exercises).
Audio recordings to improve pronunciation.
Mini real-life scenarios for practice.
Personalized support to progress with confidence.
📚 Simple, clear and effective method
👨‍🏫 Support tailored to your pace

Raouf

4.81

(26)

Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?

Laith

4.81

(26)

Technology is everywhere, and understanding how it works and how to protect it can open doors to exciting opportunities. I’ve designed this course as a hands-on journey into networking, programming, and cybersecurity, where you don’t just learn theory, you practice real skills that matter in the digital world.

In this course, I’ll guide you through building and analyzing networks, writing programs with Python and other languages, and exploring how systems communicate and interact. You’ll dive into cybersecurity fundamentals, learn to identify vulnerabilities, understand how attacks happen, and practice defending systems like a pro.

Through interactive exercises, practical examples, and real-world scenarios, I’ll show you how hackers think, how organizations respond to threats, and how to secure systems effectively.

By the end of the course, you’ll have the confidence, knowledge, and hands-on experience to tackle networking, programming, and security challenges and apply these skills in your studies, career, or personal projects.

Nicolas

4.81

(26)

I am a dynamic and demanding teacher who gives private lessons in Physics-Chemistry as well as Mathematics.

I graduated from teaching seven years ago, after a masters in physical sciences with honors, and I teach in college and high school since.
I have also been preparing students for the Baccalaureate Science for many years, all of whom have been awarded very good honors.
I also prepare my students for different exams (Matu, Bac, preparation for EPFL, etc...)

I make sure to rework the basics so that the student can progress quickly. It is important to me that my students acquire a solid foundation of knowledge.
I also give effective work methods that will allow him to progress much more quickly and so he can regain self-confidence.

I can travel to the student's home or also conduct the lesson via Zoom/Google Meet.

Martin

4.81

(26)

Working part-time in the watch industry, I have been tutoring for several years in the context of refresher, occasional support or preparation of exams or competitions. Very experienced in relation to the difficulties encountered by students and pedagogue, I adapt to the needs of each to quickly regain the necessary confidence, the methodology of mathematical reasoning and allow a rapid improvement of results.
Experienced and pedagogue, I adapt to the needs of the student to help him consolidate his knowledge methodically, to regain confidence and improve as quickly as possible its results. I teach these courses in a radius of 30 km around Geneva.

Dani

4.81

(26)

This course provides a comprehensive and professionally structured introduction to computer networking and data communications. It is designed for students who aim to build a strong technical foundation aligned with industry standards such as the Cisco Certified Network Associate (CCNA).

Course Topics Include:

Network architecture and reference models (OSI and TCP/IP)

IPv4 addressing, subnetting, CIDR, and basic IPv6 concepts

Switching fundamentals (MAC address tables, VLANs, trunking)

Routing principles and static routing configuration

TCP and UDP protocols, ports, and socket communication

Core network protocols (ARP, ICMP, DNS, DHCP, HTTP/HTTPS, FTP)

Network infrastructure devices (routers, switches, firewalls, wireless access points)

Introduction to network security fundamentals

Basic network troubleshooting methodologies and CLI analysis

The teaching methodology combines structured theoretical explanation with practical examples to ensure students understand how real-world networks operate in enterprise and campus environments. Packet flow analysis and scenario-based exercises help bridge theory with practical implementation.

Target Audience:

High school and university students in Computer Science, Information Technology, or Engineering

Beginners preparing for CCNA certification

Individuals seeking a strong networking foundation before advancing to cybersecurity, cloud computing, or advanced infrastructure studies

By the end of the course, students will confidently understand how data travels across networks, how routing and switching function, and how modern network infrastructures are designed, implemented, and managed.

Ammar

4.81

(26)

Artificial Intelligence and programming become much easier when you understand the reasoning behind the algorithms—not simply memorize Python syntax or use AI tools as a black box.

I am a PhD-qualified engineer, university professor, researcher, programmer, and multidisciplinary tutor with more than 30 years of experience across teaching, technical training, engineering, information systems, quantitative analysis, research, data mining, programming, and intelligent knowledge-based systems.

This class provides a structured and personalized pathway for beginners, school and university students, researchers, engineers, professionals, career changers, and adult learners. Depending on your goals, we can focus on Python programming, computational problem solving, automation, machine learning, artificial intelligence, or a coherent progression connecting them.

PYTHON PROGRAMMING & COMPUTATIONAL THINKING
• Python installation and development environments
• Variables, data types, operators, and expressions
• Input, output, and program flow
• Conditional statements and decision making
• For loops and while loops
• Functions, parameters, return values, and scope
• Strings and text processing
• Lists, tuples, sets, and dictionaries
• File handling and data input/output
• Error handling and exceptions
• Modules, packages, and reusable code
• Object-oriented programming
• Algorithms and computational problem solving
• Debugging and systematic error correction
• Code organization, readability, and good programming practices

SCIENTIFIC COMPUTING, DATA & AUTOMATION
• NumPy for numerical computing
• pandas for structured data manipulation
• matplotlib for visualization
• Scientific and engineering calculations
• Automation of repetitive tasks
• Data processing workflows
• Working with files and external data
• Introduction to APIs when relevant
• Python and SQL workflows
• Research and quantitative applications
• Project development from idea to working solution

MACHINE LEARNING
• Foundations of machine learning
• Supervised and unsupervised learning
• Regression and classification
• Clustering and pattern discovery
• Decision trees and rule-based approaches
• Feature selection and data preparation
• Training, validation, and testing
• Model evaluation and performance metrics
• Overfitting and underfitting
• Bias, variance, and generalization
• Model comparison and interpretation
• Predictive modelling and data mining
• Neural-network foundations

ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS
• Foundations and major branches of Artificial Intelligence
• How intelligent systems represent, classify, predict, and support decisions
• Knowledge representation concepts
• Ontologies and structured knowledge
• Rule-based reasoning and expert-system foundations
• Intelligent decision-support systems
• Generative AI and large language model concepts
• Prompt design and effective AI-assisted workflows
• AI limitations and hallucinations
• Bias, privacy, ethics, and responsible AI
• Applications in engineering, research, business, education, and professional decision making

Depending on your goals, practical work may involve Python, NumPy, pandas, matplotlib, relevant machine-learning libraries, Weka, SPSS Modeler, structured datasets, or modern generative-AI tools.

My teaching approach follows a clear progression:
understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly

I do not simply provide finished code, demonstrate isolated commands, or recommend an AI model because it is popular. I help you understand why a method works, what assumptions it makes, when it should be used, how to evaluate its results, where it may fail, and how to improve the solution.

We can work with your course syllabus, programming exercises, existing code, error messages, dataset, research problem, AI project, automation task, engineering application, model output, or professional use case.

Whether you are writing your first Python program, preparing for a university course, debugging a project, automating a professional task, learning machine learning, or exploring advanced AI applications, I will adapt the sessions to your level, objectives, and pace.

My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.