facebook

Find the Best Online Computer Programming Tutors & Teachers for Private Lessons

For over a decade, our private Computer Programming 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.

Find Your Perfect Teacher

Browse our selection of Computer Programming tutors & teachers and use the filters to find your ideal online class

Contact Teachers for Free

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

Book Your First Lesson

Plan the schedule for your first class together. Once your teacher confirms the appointment, you're all set to start on the front foot!

1650 online computer programming teachers

Krishnarao

India
C$13

60-min

/h

Python for Young Coders Beginners Computer Programming Online ClassesTranslate this text using Google Translate.

Python for Young Coders Beginners Computer Programming Online ClassesTranslate this text using Google Translate.

Python Young Coders - Beginners program is meant for kids learning conventional programming. Fun way of learning python concepts and few game development with coding. Course Content. Liveonline classes by industry experts. Python for Young Coders – Level 01  Course Introduction  What is Computer Programming?  Python Introduction  Let’s Talk to Python!  Informal Introduction to Python  Python Commands  Write Your First Program  Doing Math – Add, Subtract, Multiply, Division, Comparison Operators  Practice Exercises  Python Magic  Strings  Strings Rules, String Operators & String Indexes  Practice Exercises  Variables  Create Variables, Math Operations, String Operations, Variable Comparisons  Practice Exercises  Errors  Types of Errors & Fix Errors  Data Types  Integer, Float, String, Type Function Python for Young Coders Course Syllabus LIVEKLAS  Booleans  Booleans in Expressions, Booleans Practice  Logical Operators - AND, OR & NOT  Practice Exercises  Lists  Lists – Objects & Index  Practice Exercises  Conditions - Logic  If Statements, If-Else & If-Elif–Else  Practice Exercises  Loops  Counting & Conditional Loops  For & While Loops  Break & Continue statements  Practice Exercises  Functions  Define Function, Call Function, Parameters, Output – Print & Return  Practice Exercises  Input Function & Range Function  Modules  Random, Time, Calendar etc.,  Practice Exercises  Final Project & Celebration

Muhammad

verified teacher icon
Germany
C$64

60-min

/h

trusted teacher iconTrusted teacher

Python, SQL and Machine Learning with a Lead Data & AI Engineer (ex Amazon)Translate this text using Google Translate.

Python, SQL and Machine Learning with a Lead Data & AI Engineer (ex Amazon)Translate this text using Google Translate.

Learn Python, SQL, machine learning and AI from someone who builds these systems in production every day. I am a Lead Data and Machine Learning Engineer based in Berlin, with 9 years at Amazon, Delivery Hero, Goldman Sachs and now Orion S.A., and I have been teaching here since 2021. WHO THIS CLASS IS FOR Complete beginners who want to learn programming properly, from zero, with no assumptions. University and bootcamp students stuck on Python, SQL, algorithms or a machine learning assignment. Working professionals moving into data engineering, data science or AI roles. Candidates preparing for technical interviews at product and tech companies. WHAT WE CAN COVER We pick the path together based on your goal. Options include: Python fundamentals, clean code and object oriented programming Data structures and algorithms, with the reasoning behind each choice SQL and databases, from joins and window functions to designing a warehouse Pandas, NumPy, data cleaning and exploratory analysis Machine learning: regression, classification, trees, model evaluation, and the quiet mistakes that ruin a model Deep learning and natural language processing foundations Generative AI in practice: RAG, embeddings, vector databases, LangChain, OpenAI and AWS Bedrock Data engineering on AWS: S3, Glue, Redshift, SageMaker, Airflow, Spark and dbt Interview preparation, including mock interviews and system design for data roles HOW LESSONS WORK In the first lesson we work out where you are and what you actually want to reach, and I map a path to it. After that every session is hands on. You write code, I review it live, and I explain the reasoning rather than just handing you the answer. You finish each lesson with something that works: a script, a notebook, a query, a pipeline, or an answer you could confidently give in an interview. Between lessons you get exercises and a project that grows week by week, so you end up with something real to show an employer. WHY LEARN WITH ME I teach what I do. The examples come from real systems that serve real users, not from textbook datasets. I will also tell you honestly when an approach will not hold up in production, which is the main reason to learn from a practitioner rather than a video course. My open source guide for machine learning interviews has more than 700 stars on GitHub and is used by candidates preparing for data and ML roles. PRACTICAL DETAILS Lessons are in English, online via webcam, and I am comfortable working across time zones. Suitable for teenagers from 14 and for adults. No prior experience is needed for the beginner track.

PreviousShowing results 1026 - 1050 of 16501026 - 1050 of 1650Next
Map
Map