facebook

Discover the Best Private Computer programming Classes in Tartu

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

search-teacher-icon

Find Your Perfect Teacher

Explore our selection of Computer programming tutors & teachers in Tartu and use the filters to find the class that best fits your needs.

chat-icon

Contact Teachers for Free

Share your goals and preferences with teachers and choose the Computer programming class that suits you best.

calendar-icon

Book Your First Lesson

Arrange the time and place for your first class together. Once your teacher confirms the appointment, you can be confident you are ready to start!

0 teachers in my wish list
|
+

1 computer programming teacher in Tartu

Trusted teacher: Boost Your Statistical Skills with Personalized Tutoring! > Are statistics and programming giving you a hard time? Have you ever thought that data is too complex to understand, coding lines too abstract, or that it's just "not for you" because you don't have much mathematical background? If you can relate, you are like 99% of my students when they first come to me. That is my mission: guide you through the complex world of data analysis and unlock your true potential. As a highly experienced private tutor specializing in statistics and programming (R, Python), I offer personalized online tutoring sessions exclusively designed for university students like you. > Statistics: More Than Just Numbers In today's academic landscape, statistics and data analysis have become indispensable across various fields, from sciences to social sciences, psychology, and beyond. Regardless of your major, chances are you'll encounter statistics modules in your university program. Don't let these seemingly daunting concepts hold you back! > Unlock Your Confidence! My years of teaching at university or as a tutor have shown me one thing: one of the most common challenges students face is a lack of self-confidence in statistics and mathematics. But these years of experience have also led me to firmly believe that anyone can grasp statistical concepts with the right approach. That's why my methodology focuses on empowering you to not only be able to solve problems but understand the underlying concepts, hence building your confidence one step at a time. > Intuition: The Key to Understanding Statistics Are formulas and abstractions causing anxiety? Let me assure you, intuition lies at the heart of statistics. Together, we will demystify complex concepts and nurture your intuitive understanding of statistical principles. By focusing on practical applications and real-life examples, you'll develop a solid foundation and gain the ability to tackle any statistical problem that comes your way. > Methodology + Practice = Success! My tutoring approach is rooted in two pillars: methodology and practice. I will provide you with strategies and techniques to break down complex problems into manageable steps. Through interactive online sessions, we will work on practical exercises and real-world datasets, reinforcing your understanding and honing your analytical skills. With each session, you'll witness your progress and grow more confident in your abilities. > Online Convenience, Flexible Scheduling I teach online to ensure flexibility and tailor lessons that fit your schedule. Whether you need assistance with homework, exam preparation, or in-depth topic explanations, I am here to support you every step of the way. > Group Classes: Learn Together with Your Classmates Confidence grows better together: in addition to individual tutoring, I also offer group classes, providing you and your classmates with an interactive and supportive environment. Benefit from shared insights, group discussions, and the opportunity to learn from each other's perspectives. Together, we'll make statistics more engaging and enjoyable! > Contact Me Today! Ready to embark on your statistical journey? Reach out to me today and let's discuss how I can help you excel in statistics and programming. Remember, with the right method and practice, you can pave your way to academic success!
Math · Statistics · Computer programming
Trusted teacher: Hi! I am currently an AI Scientist at a US-based company working on cutting-edge AI applied to molecular biology. This is the topic that won the 2024 Nobel Prize in Chemistry (shared by D. Baker, J. Jumper, D. Hassabis). Previously, I was a post-doctoral researcher in computational biophysics, machine learning and computational biology at EPFL. I maintain two Python libraries for Topological Data Analysis and pyflagser. I have previously been a post-doctoral researcher in Mathematical Physics at the University of Bern, where my research was concerned with the interplay between quantum mechanics and Einstein’s theory of general relativity. I have been teaching at various levels since I was a PhD student at the University of York (UK), and more recently I was part of the cutting-edge educational project Isaac Physics in Physics/Maths/Chemistry at the University of Cambridge. Here is my teaching experience so far: - As a PhD student, I taught seminars in several of the undergraduate modules taught by the Department of Mathematics. In total, I have around 500 contact hours of experience in seminar teaching and marking, all of which I have found to be very rewarding. - As a PhD student, I jointly ran a course for talented high school student wishing to be admitted at high-rank universities, and in particular wishing to pass interviews and the STEP admission paper for entry at Cambridge. - As part of the Isaac Physics project, I created or helped create some of the online content such as theory pages, problems and books. In particular I helped put together a book on GCSE physics and one on A-level chemistry. Again as part of Isaac Physics, I gave seminars to a variety of high school students and interacted with local teachers to communicate the Isaac Physics philosophy and methodology. I also have some experience giving online YouTube webinars. - Throughout, I have been offering one-to-one tuition to A-level/IB students, university students and adult casual learners. I am happy to travel within about 4-5km of my postcode 1008 in Prilly. Alternatively, I can offer webcam lessons.
Math · Physics · Computer programming
Trusted teacher: My class is for you if you want to: - Build the skills you need to get your first Python programming project. - Get started with Machine Learning, Data Science, Django or other hot areas that Python specializes in. - Or just learn Python to be able to create your own Python apps quickly. ...then you need a solid foundation in Python programming. And my class is designed to give you those core skills, fast. My class is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python. The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission-critical applications like Google Search. And Python is the number one language choice for machine learning, data science, and artificial intelligence. To get those high paying jobs you need expert knowledge of Python, and that’s what you will get. Here’s just some of what you’ll learn (It’s okay if you don’t understand all this yet, you will in the course) · All the essential Python keywords, operators, statements, and expressions needed to fully understand exactly what you’re coding and why - making programming easy to grasp and less frustrating · You will learn the answers to questions like What is the Python For Loop, what is Python used for, how Python switch the traditional syntax of code, and more. · Complete chapters on object-oriented programming and many other aspects of Python.
Python · Computer programming · Computer science
Trusted teacher: Welcome to "Machine Learning with Python and PyTorch: Practical Hands-on Training," a beginner-friendly course designed to introduce you to the exciting world of machine learning using two of the most popular tools in the industry: Python and PyTorch. This course focuses on practical, hands-on learning, ensuring you gain the skills needed to start building your own machine learning models. #### Course Objectives: - **Introduction to Machine Learning:** Understand the basic concepts and principles of machine learning. - **Python Programming for Machine Learning:** Learn Python programming essentials tailored for machine learning applications. - **PyTorch Fundamentals:** Get acquainted with PyTorch, a powerful and flexible deep learning framework. - **Practical Experience:** Gain hands-on experience by working on real-world projects and exercises. - **Model Building and Evaluation:** Learn to build, train, and evaluate various machine learning models. #### Course Outline: 1. **Introduction to Machine Learning:** - What is machine learning? - Types of machine learning: supervised, unsupervised, and reinforcement learning - Applications of machine learning in different industries 2. **Python Programming Essentials:** - Introduction to Python programming - Data structures and libraries (NumPy, Pandas) - Basic data manipulation and visualization (Matplotlib, Seaborn) 3. **Getting Started with PyTorch:** - Introduction to PyTorch and its ecosystem - Setting up your environment and installation - Understanding tensors and basic tensor operations 4. **Building Your First Machine Learning Model:** - Data preprocessing and preparation - Splitting data into training and testing sets - Building a simple linear regression model with PyTorch 5. **Training and Evaluating Models:** - Understanding the training process - Loss functions and optimization algorithms - Evaluating model performance using metrics 6. **Advanced Models and Techniques:** - Introduction to neural networks - Building and training a neural network with PyTorch - Exploring convolutional neural networks (CNNs) for image classification 7. **Practical Projects and Applications:** - Hands-on projects to reinforce learning - Real-world applications and case studies - Tips and best practices for successful machine learning projects 8. **Next Steps in Your Machine Learning Journey:** - Exploring further learning resources - Joining machine learning communities and forums - Preparing for advanced topics and courses #### Who Should Enroll: - Beginners with no prior experience in machine learning - Individuals interested in learning Python programming - Aspiring data scientists and machine learning enthusiasts #### Prerequisites: - Basic computer literacy and familiarity with high school-level mathematics - No prior programming or machine learning experience required #### Course Outcomes: By the end of this course, you will be able to: - Understand the fundamental concepts of machine learning - Write and execute Python code for machine learning tasks - Use PyTorch to build, train, and evaluate machine learning models - Apply your knowledge to real-world problems and projects - Take the next steps in advancing your machine learning skills Join us in "Machine Learning with Python and PyTorch: Practical Hands-on Training" to embark on your journey into the fascinating world of machine learning. Gain the skills and confidence needed to build and deploy your own models, and start making an impact with machine learning today.
Python · Computer programming
Showing results 1226 - 1250 of 14041226 - 1250 of 1404

Our students from Tartu evaluate their Computer Programming teacher.

To ensure the quality of our Computer Programming teachers, we ask our students from Tartu to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 14 reviews.

Python and/or Machine/Deep Learning Classes at your place or Online! (Lucerne)
Benito
rating star
rating green star
I highly recommend Benito as a teacher for Machine Learning and Python! Benito is very patient and has exceptional teaching skills, which combined with his expertise in both theory and practical applications makes every lesson very enjoyable. He explains complex machine learning topics using real-life examples, ensuring that learning is comprehensive and intuitive. Top!
Review by HURIYE
Learn Python Programming Language - Go From Zero To Hero (Amsterdam)
Nour Eddine
rating star
rating green star
Nour Eddine is very well prepared to each lesson and shares a lot of examples. He is also very patient :)
Review by JO
Programming and Game Development (C, C#, Java, Unity3D) (Leuven)
David
rating star
rating green star
Very good teacher. The class was really useful and constructive. It helped me a lot. Highly recommended!
Review by ROBERTA
map iconMap