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Discover the Best Private Computer programming lessons in Kraków

For over a decade, our private Computer programming tutors have been helping learners improve and realise their ambitions. With one-to-one lessons at your home or in Kraków, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1 computer programming teacher in Kraków

Trusted teacher: Are you having trouble with your programming classes? Have you always been intrigued by programming, but don't you dare take the plunge on your own? Do you already have basic knowledge, but want to improve your level? So I can help you with your goals. I adapt to your individual needs and experience level. With 10 years of scientific research and holder of a doctorate in Geographical Sciences from the Free University of Brussels, I have been using Python for several years for the automation of data collection and processing, in particular the processing of satellite images with Machine Learning and Deep Learning tools. Why Python and not another programming language? • Among the various programming languages, it is probably the one with the simplest and easiest to understand syntax, which makes it an ideal language for beginners. • It is one of the most popular programming languages and the demand for professionals with Python skills is high. Many industries, including technology, finance, and healthcare use Python extensively. • It is a versatile language that can be used for many applications like scientific computing, data analysis, artificial intelligence, etc. Different formulas are possible: • Help with success for students having difficulties with their programming courses. • For people with basic knowledge of Python: ◦ Take it to the next level with object-oriented programming. ◦ Introduction to the highly sought-after field of Data Science Data with Python
Numerical analysis · Python · Computer programming
Sound (music) · Computer programming · Ableton live
Trusted teacher: Learn Data Science from Scratch with Python I am a graduate of the University of Westminster, where I began my journey into data science and machine learning through hands-on data analysis for physical and mathematical models. With over 16 years of experience teaching computer science and programming, I have developed a comprehensive approach to teaching data science that emphasizes practical application and project-based learning. My lessons are tailored to suit both complete beginners and those who wish to deepen their understanding of data science and machine learning. Each session is designed to help you not just learn, but apply data science concepts effectively to real-world projects. What I Offer: Project-based learning: Engage in practical projects that will enhance your understanding of machine learning and data science. Examples of projects include: - Predictive Modeling: Create a model to predict house prices, stock market trends, or sales forecasts using regression techniques. - Data Classification: Build a spam email classifier, sentiment analysis tool, or an image recognition application. - Clustering Algorithms: Apply clustering techniques to segment customer data for targeted marketing or identify groups within a dataset. - Time Series Analysis: Forecast future trends using time series data, such as weather patterns or economic indicators. - Recommendation Systems: Develop a movie or product recommendation engine using collaborative filtering techniques. Customized lessons: Each lesson is tailored to your current skill level and goals. Whether you are starting from scratch or looking to fine-tune your expertise in Python, TensorFlow, scikit-learn, or other machine learning libraries, I adjust the content to match your needs. Comprehensive ML pipeline training: Gain an in-depth understanding of the complete data science pipeline, including data collection, cleaning, feature engineering, model training, evaluation, and deployment. Portfolio and project support: Receive guidance on developing projects that showcase your skills, whether for your personal portfolio or as part of a bootcamp assignment. I will help you ensure your projects are both functional and impactful. Pre-class materials and homework: Access study materials prior to each session and complete follow-up assignments to consolidate what you’ve learned and apply it independently. Flexible online lessons: Learn from the comfort of your home with lessons that fit your schedule. My teaching approach focuses on fostering critical thinking and problem-solving skills that are essential for a successful career in data science. I have collaborated with companies, start-ups, and educational institutions, bringing practical, hands-on knowledge to students and professionals looking to excel in the field. If you are ready to build a strong foundation in data science and gain the practical experience needed to excel in real-world scenarios, contact me to discuss your learning path and project ideas.
Python · Computer programming
Trusted teacher: Dear potential students, I am delighted to invite you to book your first lesson with me! By choosing to learn with me, you will receive many benefits that will help you achieve your learning goals and excel in the IT field. Here are some of the benefits you can expect by studying with me: Practical expertise: With my three years of experience as a developer in renowned multinationals, I bring you practical expertise directly from the IT industry. You will learn concepts and techniques that are directly applicable in the professional world. Interactive methodology: My teaching approach is based on the interaction and participation of students. You will be encouraged to ask questions, participate in discussions and work on hands-on projects, which will promote your understanding and retention of the concepts taught. Personalized Learning: I strive to understand the individual needs of each student and adapt my teaching accordingly. Whether you're a beginner or looking for more advanced knowledge, I'm here to help you progress at your own pace. Encouragement and Support: I strongly believe in your potential and am here to encourage you every step of the way on your learning journey. I am available to answer your questions, resolve your problems and guide you towards success. Future Readiness: By learning with me, you will prepare yourself for success in the ever-changing IT industry. You will gain skills and knowledge that will help you stay competitive in the job market and pursue new professional opportunities. Don't miss this opportunity to start your learning journey with a dedicated and experienced mentor. Book your first course today and let me guide you to success in the exciting world of IT
Computer programming · Java · Algorithms
Trusted teacher: Course Description: CAN/LIN Protocols in Embedded Systems Course Title: Embedded Systems Communication: CAN/LIN Protocols Course Overview: The "Embedded Systems Communication: CAN/LIN Protocols" course is designed to provide students with a comprehensive understanding of the Controller Area Network (CAN) and Local Interconnect Network (LIN) protocols used in embedded systems. The course aims to equip students with the necessary knowledge and skills to design, implement, and troubleshoot communication systems based on these protocols. Through a combination of theoretical lectures, hands-on lab exercises, and practical projects, students will gain a deep understanding of CAN/LIN protocols and their applications in various industries. Course Objectives: 1. Understand the fundamental principles and concepts of CAN/LIN protocols. 2. Learn about the structure and architecture of CAN/LIN networks. 3. Explore the advantages, limitations, and trade-offs of using CAN/LIN in embedded systems. 4. Gain practical experience in designing and implementing CAN/LIN communication systems. 5. Develop skills in troubleshooting and debugging CAN/LIN networks. 6. Explore real-world applications of CAN/LIN protocols in automotive, industrial, and other embedded systems. 7. Understand the integration of CAN/LIN protocols with other communication interfaces. Course Outline: Module 1: Introduction to CAN/LIN Protocols - Overview of embedded systems communication - Evolution and history of CAN and LIN protocols - Comparison of CAN and LIN with other communication protocols - Application areas and industry standards Module 2: CAN Protocol Fundamentals - CAN bus architecture and components - Physical and data link layers of the CAN protocol - Message formats, identifiers, and addressing - Error detection and fault tolerance mechanisms - CAN protocol timing and synchronization Module 3: LIN Protocol Fundamentals - LIN network topology and components - LIN frame structure and message types - Master-slave communication and scheduling - LIN protocol configuration and initialization - Fault detection and handling in LIN networks Module 4: CAN/LIN Network Design and Implementation - Hardware requirements for CAN/LIN communication - CAN/LIN transceivers and controllers - Network topology and node addressing - Bus arbitration and message prioritization - Software development for CAN/LIN systems Module 5: CAN/LIN Network Diagnostics and Troubleshooting - CAN/LIN network analysis tools and techniques - Error detection, fault localization, and error recovery - Diagnostic trouble codes and error reporting - Strategies for debugging and optimizing CAN/LIN systems Module 6: Applications of CAN/LIN Protocols - CAN/LIN in automotive systems: vehicle networks, diagnostics, and control systems - CAN/LIN in industrial automation: process control, sensors, and actuators - CAN/LIN in consumer electronics and home automation - Integration of CAN/LIN with other communication interfaces (e.g., Ethernet, SPI, I2C) Module 7: Project Work - Hands-on projects involving the design and implementation of CAN/LIN communication systems - Real-world case studies and application development - Team-based projects to apply the acquired knowledge and skills Prerequisites: - Basic knowledge of embedded systems and microcontroller programming - Understanding of digital electronics and computer architecture - Familiarity with C or C++ programming language - Passionate about the automotive field Assessment Methods: - Quizzes and exams to assess theoretical knowledge - Assignments to evaluate practical implementation skills - Project work and presentations to assess application and problem-solving abilities By the end of this course, students will have a solid foundation in the theory, implementation, and troubleshooting of CAN/LIN protocols in embedded systems. They will be prepared to work on projects and develop communication systems based on CAN/LIN, enabling them to contribute to various industries where embedded systems play a crucial role.
Electronic circuits · Computer programming · Automotive engineering
Computer programming · Information technology · Computer science
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Our students from Kraków evaluate their Computer Programming teacher.

To ensure the quality of our Computer Programming teachers, we ask our students from Kraków to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 29 reviews.

Learn to program | Python, JavaScript, Java, HTML, CSS
Alexander
A very patient teacher, will explain the material multiple times until you really understand it. Caters to your individual requests, like reviewing and helping you with specific exercises. Always well-prepared.
Review by YULIYA
Programming and Data Analysis, Matlab, Python, Fortran, SPSS
Nikolaos
Nikolas is a very depentable tutor with an abudant amount of knowledge in programming. He was very helpful in preparing me for my programming exam and I higly recommend him!
Review by KYRIAKOS
Mathematics, Statistics, Python and R Programming Tutoring (Leuven)
Luana
Luana is a good teacher, she is patient and brings practical examples to understand statistical issues.
Review by GREICE