Overview
Take your data skills to the next level
At the end of this skill course, you will:
- Manipulate your data with Python
- Share your results through visualization and dashboards
- Predict results using the best Machine Learning libraries
This course is for you if...
- You manage large data sets and have reached the limit of Excel
- You analyze data and you want now to predict results
- You're a data analyst and want to master the basics of AI
curriculum
What you’ll learn in this Python & Machine Learning course
In 40h, master the fundamentals of Python and Machine Learning and learn how to analyze data and predict outcomes.
15h
Learn the most popular language for data analysis
Explore Python's core fundamentals, essential for effective data exploration, using Jupyter notebooks. Learn data manipulation with Pandas, descriptive statistics, and create interactive visualizations with Plotly. Transform your notebooks into web apps with Voilà and Binder effortlessly.
What you will do in practice:
- Cleanse and prepare data with Python
- Transform data for advanced analytics
- Dive into data exploration with interactive visualizations
Tools you will learn:
10h
Master the best visualization tools
Understand the key concepts of machine learning and gain insight into the crucial stages of Artificial Intelligence algorithm development. Learn to anticipate and mitigate algorithmic bias, ensuring responsible and ethical AI implementation.
What you will do in practice:
- Prepare your data for training
- Develop and train your own supervised model.
- Conduct segmentation to uncover shared characteristics
Tools you will learn:
5h
Predict the future
Use the best Machine Learning libraries, such as Scikit-Learn or PyCaret to respond to several real business cases. Predict quantity, and automatically classify or determine homogeneous groups from your data. Use these techniques to make the best decisions.
What you will do in practice:
- Prepare your data for learning
- Utilize the most effective algorithms to make precise predictions
- Identify critical breakpoints in your time-based data
Tools you will learn:
10h
Bring your newfound skills to life
Work on your own data or conduct an end-to-end analysis on one of the cases we've prepared with our partners. Apply the skills and knowledge acquired throughout this training.
What you will do in practice:
- Deepen your analyzes and optimize your processing in Python
- Realize an AI project: from preparation to training your ML algorithm
Want to learn more about our Python & Machine Learning course?
Understand the goal of this skill course
Get our syllabus week by week
Understand our methodology
Download our Python & Machine Learning syllabus
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our method
Boost your skills learning from data experts
With skilled and helpful teachers, you'll rapidly learn hands-on skills and build a strong foundation to further advance your career.
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Apply your skills to real-world data
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Learn in an immersive, hands-on environment
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Gain lifetime access to Le Wagon's learning platform
Authors & Teachers
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FAQ
Your questions answered
Web development course
You don't need any technical background to join our web development bootcamp. We expect 3 things from our students: be (extremely) motivated, be curious, be social. If this sounds like you, then we'll be more than happy to have you on board if you pass all the selection process.
Data science & AI course
The Data science & AI course requires some basic knowledge of programming and mathematics.
- How much programming do I need to know? Well, you must be comfortable with data types & variables, conditions, loops, functions and data structures like arrays and dictionaries (also called hashes in some programming languages). If you know those topics in other languages than Python (like Ruby, JavaScript, C++, etc.), you have the right programming prerequisites!
- How much mathematics do I need to know? In order to join our Data Science course, you also need a minimum level in Mathematics and to be familiar with concepts covered in high school's scientific section. We need you to be comfortable with functions, their derivatives & systems of linear equations. To get up to speed, some additional preparation work will be given to you before the bootcamp start to get a refresh of all these concepts as well as more advanced knowledge on linear algebra and statistics.
Data analytics course
The data analytics bootcamp is beginner-friendly, with no prerequisites required. What counts for us is that you’re motivated to start your new tech journey.
Don't worry about it! Students with a project are invited to pitch their idea during the bootcamp while people without one are welcome to team up with them.
Apart from a good internet connection, no! There are some tools to download, like Slack, but other tools (e-learning platforms and software) are accessible from your Internet browser.
