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Discover the Best Private Computers & Electronics Classes in فيينا

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

22 computers & electronics teachers in فيينا

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22 computers & electronics teachers in فيينا

Trusted teacher: The program is designed for students interested in concept art, illustration, visual storytelling, and portfolio preparation for art schools, animation/game-related programs, or independent artistic development. It follows a mentorship-based approach, combining artistic foundations, conceptual thinking, and portfolio strategy, adapted to everyone's style, vision and long-term goals. What's in it? PART I 1. Artistic & visual language • Traditional drawing & illustration techniques • Shape & form study • Light, color & values • Composition & visual storytelling 2. World-building & visual thinking • Environment design (natural & built spaces) • Props, objects, and visual detail • Character concepts (anatomy basics, silhouettes, expression) • Style exploration (realistic, stylized, symbolic, experimental) • References vs originality: how to build from research without imitation 3. Cognitive & creative process • Artistic thinking & workflow • From idea to image • Documentation & reference gathering • Moodboards & visual research • Iteration, selection, refinement • Knowing when a piece is finished 4. Digital foundations (optional / hybrid) • Transition from traditional to digital • 2D digital tools & workflows • Layer logic, brushes, textures • Digital painting fundamentals • Presentation-ready images • Case studies from professional concept artists & illustrators This section is optional and may be skipped for students with prior digital experience. In such cases, the focus will be on refining and strengthening what has already been acquired. IMPORTANT! All sections in Part I (artistic practice, visual language, world-building, technical and digital foundations) are approached according to the student’s existing level, from beginner to advanced. If foundational skills are already present, these areas will not be repeated mechanically; instead, the focus will shift toward portfolio development, conceptual depth, and refinement of existing work. PART II Portfolio development & mentorship 1. Portfolio building • Defining the student’s artistic direction • Selecting and developing strong themes • Creating cohesive series, not isolated images • Aligning personal style with academic or professional expectations • Consistent review, feedback, and refinement 2. Application-specific support (where applicable) • Portfolio selection & sequencing • Artist statements or motivation letters (with visuals) • Adapting work to specific institutions or programs • Understanding evaluation criteria
Illustration · Drawing & sketching · Digital arts
Trusted teacher: Unlock Your Potential in Programming, Math & Data! Hello! Are you looking to strengthen your skills in Programming, Mathematics, or Data science? As a Master's student in Data Science at Technische Universität Wien and an Experienced Educator, I offer personalized tutoring to help you achieve your academic and learning goals. What I Offer: Programming Fundamentals: Dive into Python, C/C++, Object-Oriented Programming (OOP) and Data Structures. Perfect for beginners or those looking to solidify their understanding. Mathematics: From School Level Concepts to Foundational University Topics, I can help you grasp Complex Ideas and Improve your Problem-Solving Skills. Introduction to Data Science: Get started with Essential libraries like NumPy, Pandas, and scikit-learn, and understand core data analysis concepts (Data Preparation, Analysis, Visualization, Model Training and Predictions). Microsoft Office & Computer Basics: Master Excel, PowerPoint, Word, and General Computer Literacy for Academic or Professional Success. My Teaching Approach: With over five years of experience as a Secondary School Educator and a Co-Founder & Instructor, I believe in a clear, patient, and practical approach. My goal is to make complex topics understandable and engaging, building your confidence step-by-step. I focus on hands-on learning and real-world applications to ensure you not only learn but also enjoy the process. Who Can Benefit: School students University students seeking foundational support Anyone new to programming or data concepts Individuals looking to improve their general computer skills Let's work together to make learning effective and enjoyable! About Me: I am Muhammad, a dedicated Data Science Master's student with a passion for teaching and problem-solving. My background in Software Engineering and my experience in various educational roles have equipped me to guide you effectively on your learning journey.
Computer programming · Computer science · Math
Statistics · Python · Risk management
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(1 review)
Lucian - Vienna211 CNY
Trusted teacher: Want to learn how to code but not sure where to begin? You used AI but it's not working for you? No technical background? No problem. You've never written a line of code before or you've written a few aided or not by AI? You're in the right place. This course is designed for beginners. You’ll learn the foundations of coding using Python, a simple but powerful programming language that’s perfect for newcomers. Lessons are practical, personal and paced according to your needs. We’ll write real code together from the first session, using tools that are free and beginner-friendly, and you will learn how to critically use AI to aid you in your learning and coding. You’ll learn step-by-step in a hands-on supportive environment where we focus on writing real code from day one. What you will learn: - How to set up and use a coding environment (no installation needed). - Core programming concepts: variables, data types, loops, conditionals, basic code structure, functions, simple error handling, user input, and more. - How to read, write and debug (solve errors) simple Python code. - A beginner’s mindset for solving problems like a programmer: problem-solving and breaking down tasks. - How to build small programs and get creative with your code. - How to use AI to code efficiently but critically. This course is perfect for those with no prior programming knowledge. Targeted to teens or adults, but children and seniors are welcome too. Whether you're exploring a new skill, preparing for future studies or curious about how coding works, this class will give you a strong foundation and the confidence to continue.
Computer programming · Python · Computer science
Computer programming · Computer engineering
Meet even more great teachers. Try online lessons with the following real-time online teachers:
Cad software · Engineering
◾ Tools RStudio • SQL • SPSS • SAS • Jamovi • JASP ◾ Statistical Methods & Tests Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation ◾ Data analysis & decision support - Data preparation, structuring and validation using SAS, R and SQL - Descriptive, exploratory and multivariate statistical analyses on business data - Production of performance indicators and actionable analyses to support decision-making ◾ Selection and implementation of methods - Preparation and structuring of databases - Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA) - Linear and logistic regressions - Factor analyses (PCA / MCA) - Mediation and moderation models - Classification / clustering 1) Academic support - Lectures, tutorials, projects and assignments in statistics - Help in understanding and interpreting the results - Preparation for exams and academic presentations 2) Statistical analysis - Descriptive statistics (univariate and bivariate) - Multivariate analyses - Data exploration and outlier detection 3) Statistical tests - Correlations (Pearson, Spearman, Cohen's Kappa) - t-tests (one and two samples, independent or paired) - Chi-square, binomial tests - z-scores and associated indicators 4) Statistical modeling - Linear regressions (simple and multiple) - Logistic regression - Interpretation of coefficients, diagnostics and validation of models 5) ANOVA & ANCOVA - One- or multi-factor ANOVA - Repeated measures ANOVA - Fixed and random effects - Post-hoc tests and effect sizes 6) Factor analyses - ACP / PCA (scree plot, factor scores, matrices) - Exploratory factor analysis - Factorial rotations - Validation and interpretation of structures and clusters ◾ Reporting & communication - Clear, structured and concise reporting of results - Visualizations tailored to decision-makers - Support for strategic and operational decision-making
Statistics · Numerical analysis · Database
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Our students from فيينا evaluate their Computers & Electronics teacher.

To ensure the quality of our Computers & Electronics teachers, we ask our students from فيينا to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 125 reviews.

Uni Mathe, A-Levels, Matura etc., by a Cambridge Grad (Vienna)
Volodymyr
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Volodymyr worked with my son for 2 months after he failed an oberstufe year 7 schularbeit, and by the next exam he got a 3 (only 2 points from a 2!). Volodymyr has continued to work with him over the summer, and my son feels so much more prepared for year 8 and the matura. My son enjoys working with Volodymyr--he is kind, positive, and supportive. He is comfortable teaching matura-level math, and does so with great clarity. My son is a native English speaker, so they mostly use English, but the first lessons they did in German, and Volodymyr works easily in either language. I highly recommend Volodymyr!
Review by HIL
Private coding / programming lessons with python (Paris)
Matías
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Highly recommended teacher!!! Matias teaching methods are great. Very clear and concise. Doesn’t waste your time explaining meaningless background information and always lectures with the intent to help you understand the material. He’s helped me understand content for my master course on Python and is one of the best lecturers that I’ve had. Your passion and dedication is beyond words! Thank you for getting me through this hard quick semester, I honestly would have never passed if it was not for your help! Thank you so much once again!
Review by JURIS
Computer Science ( Python, Machine Learning, Robotics, Artificial Intelligence) (Vienna)
Negar
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I’m very grateful to Negar for helping me understand and learn Machine Learning. She was incredibly patient and always took the time to explain the concepts clearly and with all the info I felt like I needed. Her support and teaching made a big difference in my learning journey. I truly appreciate her dedication and would highly recommend her!
Review by STEFANIA
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