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Find the Best Online Computers & Electronics Tutors & Teachers for Private Lessons

For over a decade, our private Computers & Electronics tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons online, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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4579 online computers & electronics teachers

Ziad

France
C$86

60-min

/h

Mathematics, Statistics, Signal Processing & Scientific Computing – University LevelTranslate this text using Google Translate.

Mathematics, Statistics, Signal Processing & Scientific Computing – University LevelTranslate this text using Google Translate.

I offer personalized university-level support in Mathematics, Statistics, Signal Processing, Data Analysis, and Scientific Computing for undergraduate, Master’s, and engineering students. Lessons are adapted to the student’s academic program, level, and objectives, whether the goal is to better understand theoretical concepts, solve exercises and problems, prepare for exams, analyze experimental data, or develop computational methods for scientific and engineering applications. Depending on the student’s curriculum and needs, lessons can cover: ¤ Mathematics — calculus, linear algebra, differential equations, complex numbers, numerical methods, Fourier analysis, and other mathematical tools used in physics and engineering ¤ Probability & Statistics — probability distributions, descriptive and inferential statistics, uncertainty, regression, statistical analysis, and interpretation of experimental data ¤ Signal Processing — time- and frequency-domain analysis, Fourier transforms, filtering, sampling, correlation, spectral analysis, noise analysis, and signal characterization ¤ Data Analysis — processing and visualization of scientific data, statistical interpretation, fitting, uncertainty analysis, and extraction of meaningful information from experimental measurements ¤ Scientific Computing — MATLAB and Python for numerical calculations, data processing, signal analysis, visualization, automation, and scientific applications My approach focuses on understanding the mathematical reasoning behind the methods rather than simply applying formulas or code. I help students connect theory with practical applications, understand why a particular method is appropriate, and progressively develop the ability to solve problems independently. I hold a PhD in Physics and have extensive experience using mathematics, statistics, signal processing, and scientific computing in experimental research. Throughout my doctoral work, I used MATLAB and Python for scientific data processing, filtering, correlation, noise and stability analysis, statistical characterization, and the analysis of optical measurements. Lessons can be provided in English or French, with explanations in Arabic whenever helpful.

Javier

Belgium
C$86

60-min

/h

Artificial Intelligence, Automation & M365 by ex-AVP System Engineer (Moody's)Translate this text using Google Translate.

Artificial Intelligence, Automation & M365 by ex-AVP System Engineer (Moody's)Translate this text using Google Translate.

Hello, After a 34-year career in systems engineering (including roles as AVP System Engineer & Product Owner at Moody's), I've learned one essential truth: technology is useless if it remains overly complex. There is NO set curriculum or pre-defined syllabus: every session is 100% tailor-made. I adapt entirely to your request, your skill level, and your current objectives—whether that means gently discovering a new tool or solving a specific technical challenge. My approach is built on clear, accessible guidance: no unnecessary jargon, no dull theory, and no prerequisites required. My goal is to make technology accessible, seamless, and immediately useful (if my experience helps you avoid a few costly surprises, then I’ve done my job). Examples of what we can cover together: Discover and Master AI (ChatGPT, Copilot, Claude, Gemini, Veo, etc.) Learn how to write clear prompts to get accurate results (prompt engineering). Use AI to draft content, summarize documents, analyze data, or organize your daily work. Understand best practices to use these tools securely. Simplify and Automate Your Daily Tasks Connect your collaborative tools (emails, files, calendars, M365 services) to eliminate repetitive actions. Migrate to new M365 services smoothly. Set up simple virtual assistants to save you time. Optimize Your Digital Tools & Cloud Environment Take control of your IT workspace, organize collaborative environments, and secure your access. How? We start with YOUR topics: a practical problem to solve, a project to bring to life, or a tool you want to master. Everything is explained clearly and patiently so that you leave every session with practical, actionable solutions. Whatever your starting point or project, the course adapts to you—never the other way around.

Arun Raj

verified teacher icon
Netherlands
C$86

60-min

/h

Autodesk Inventor & Vault Training – Practical CAD & Engineering WorkflowsTranslate this text using Google Translate.

Autodesk Inventor & Vault Training – Practical CAD & Engineering WorkflowsTranslate this text using Google Translate.

I provide practical, one-to-one training in Autodesk Inventor and Autodesk Vault, focused on helping students understand the software and apply it effectively to real engineering work. The training can be adapted to your current level and objective. We can work through Autodesk Inventor concepts step by step, or take a completely hands-on approach where you create your own models while I guide you, identify issues, explain better methods and share practical modelling and engineering best practices. For Autodesk Inventor, topics can include part modelling, assemblies, drawings, design intent, modelling strategies, constraints, parameters, design changes and general CAD best practices. If you already have experience with Inventor, we can focus on improving your modelling approach, solving specific problems or reviewing your existing work. For Autodesk Vault, we can focus on understanding document and design data management, file organisation, versioning, revisions, check-in/check-out, working with CAD data and practical workflows for managing engineering files. The lessons are not based on a fixed syllabus. I adapt each session to what you actually need to learn or solve. You can also bring your own model, exercise, project or specific problem and we can work through it together. I have more than 14 years of experience working at the intersection of engineering, manufacturing, CAD, PDM and PLM, so the focus is not only on which button to click, but also on understanding why a particular approach is useful in an engineering environment. The lessons are suitable for students, engineering professionals, designers and anyone who wants to improve their practical Autodesk Inventor or Vault skills.

Jayaram

verified teacher icon
India
C$67

60-min

/h

Applied Data Science Lab: From Raw Data to Business ImpactTranslate this text using Google Translate.

Applied Data Science Lab: From Raw Data to Business ImpactTranslate this text using Google Translate.

Overview Transitioning from learning data science theory to solving actual business problems is the hardest step for any aspiring data professional. [Insert Chosen Course Title] is an intensive, mentor-led program designed to simulate a real-world data team environment. Instead of working through synthetic, pre-cleaned textbook datasets, you will take on messy, complex industry scenarios and turn them into end-to-end data products. What You’ll Experience End-to-End Execution: Walk through the full data lifecycle—from problem scoping and data extraction to exploratory analysis, modeling, and executive stakeholder presentation. Industry-Standard Workflows: Work with messy real-world datasets, practice Git-based version control, write production-ready code, and structure reports that business leaders actually care about. 1-on-1 & Group Mentorship: Receive continuous code reviews, architectural feedback, and project guidance mirroring the experience of working under a Senior Data Scientist or Analytics Lead. Portfolio-Ready Deliverables: Graduate with 2–3 complete, polished projects that demonstrate actual business value to hiring managers—not just another churn prediction copy-pasted from Kaggle. Who This Is For Aspiring Data Analysts, Data Scientists, and recent graduates who know Python, but want the practical experience, confidence, and portfolio needed to land high-impact roles in the industry.

Hossein

Austria
C$70

60-min

/h

AI and Machine Learning for Young Students: Understand How It Works and its coceptsTranslate this text using Google Translate.

AI and Machine Learning for Young Students: Understand How It Works and its coceptsTranslate this text using Google Translate.

Artificial intelligence is becoming part of everyday life, but many students use it without understanding what happens behind the screen. This beginner-friendly class helps young students build a clear and meaningful foundation in artificial intelligence and machine learning. As a student, you will learn how to think about AI: where its main ideas come from, how a machine learns from examples, why a model can make predictions, and why it can sometimes make mistakes. Instead of simply learning how to use AI applications, you will begin to understand the reasoning, mathematics and processes that make them work. Using simple explanations, visual examples and interactive exercises, we will explore data, patterns, algorithms, model training, classification, neural networks and real-world AI applications. We will also discuss the limitations of AI and how to evaluate its answers critically. No previous knowledge of AI, programming or advanced mathematics is required. Each lesson will be adapted to the student’s age, current knowledge and interests. I am a Master’s student in Artificial Intelligence at Johannes Kepler University Linz and also have a background in mechatronics. My goal is to make difficult ideas understandable and give students the foundation they need for future studies in mathematics, programming, robotics and artificial intelligence.

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