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2 python teachers in Chelsea

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2 python teachers in Chelsea

Nicolas - Milan, Italy£14
£14Python & Pandas: A Programming Guide to the data galaxy
Trusted teacher: Welcome to the basics of Data Science with Python applied to real cases! In this course, we will cover the fundamental concepts and techniques of data science using the Python programming language. The course will begin with an overview of the key concepts in data science, including data types, data structures, and statistical analysis. We will then move on to cover the basics of Python programming, including variables, data types, loops, functions, and classes. Once we have covered the fundamentals of Python programming, we will dive into the world of data analysis and manipulation with the Pandas library. You will learn how to import, clean, and transform data using Pandas and how to perform basic statistical analysis on data. Next, we will explore data visualization with Matplotlib and Seaborn libraries. You will learn how to create different types of plots and charts to visualize data and gain insights from it. In the second half of the course, we will apply what we have learned to real-world data science problems. You will work on projects that involve cleaning and analyzing real datasets, such as census data, financial data, or climate data. Throughout the course, you will have access to a variety of resources, including lectures, readings, exercises, and quizzes. You will also have the opportunity to collaborate with other students and receive feedback from your instructors. By the end of this course, you will have a solid understanding of the basics of data science with Python and how to apply it to real-world problems. You will be able to use Python to perform data analysis, create visualizations, and draw insights from data.
Python · Database · Computer science
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Imad - Tangier, Morocco£10
£10Learn Python from A to Z (Algorithms, OOP, GUI TKinter...)
Trusted teacher: Python is a popular programming language. Thousands of businesses have built their websites with Python, including Google, Facebook, Dropbox, Instagram, and Reddit. Python is used for all sorts of tasks, such as building websites, gaming, site vacuuming, data analysis, machine learning and natural language processing, or even simple applications. The Python language is designed to be easy to read without sacrificing its power, which makes it a great language for beginners. Why should you learn Python? Python is easy to learn Python is a language of choice, i.e. for general use (application, games, website, etc.) Python is a versatile and cross-platform language Python has one of the most mature package managers Python is a commonly used language in data science Python is cross-platform and open source And the most important reason: If you want to add a language to your existing library, the demand for Python programmers is huge. To take this course you do not need any prerequisites, any development skills! It is also suitable for developers wishing to learn Python. If the adventure tempts you then join the participants who have already trusted me for their learning!!! Who is this course for? Anyone wishing to learn python. University students majoring in computer science. Development novices, because it is the ideal language to start Developers wishing to add a language to their skills
Web development · Python · Computer programming
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Olga - London, United Kingdom£17
£17Learn and Master Data Science from Scratch with Python
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
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Our students from Chelsea evaluate their Python teacher.

To ensure the quality of our Python teachers, we ask our students from Chelsea to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 31 reviews.

JAVA Classes for all Levels from beginners to advance (Etterbeek)
Vivek
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I am someone who is too scared of technology, I thought I will take one class and at then decide . But the way he teaches has completely changed my opinion. He used simple example with a smile that now I want to learn even more . "His teaching style and the way he makes the course easily understood” and makes it even easier to fall in love with the topic.
Review by SHRAYA
Python, learn how to think and build effective code (Utrecht)
Kelly
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Kelly is a lovely person and great teacher. I had a number of classes with her online via Zoom in order to get help with a beginners level Python data analysis course I was doing. I would not have gotten through the course without her patience and help in explaining different concepts. I highly recommend her as a tutor if you are struggling with coding!
Review by ELLA
Solve Python University Tasks With Professional 1:1 Online Tuition
Alexandros
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Alexandros is a knowledgeable programmer and helped me successfully complete a challenging academic assignment for coding in Python. Alexandros is able to understand a problem, and help you formulate a proper response.
Review by CHRISTOS

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