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
Here’s what you need to know about technical prerequisites for each bootcamp:
- Web Development: No technical background is required. We look for motivated, curious, and social students. If this describes you, you’re ready to apply and complete the selection process.
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Data Science & AI: Requires basic programming and math knowledge:
- Programming: Familiarity with data types, conditions, loops, functions, and data structures (arrays and dictionaries) in any language like Python, Ruby, or JavaScript.
- Mathematics: Comfort with high school-level functions, derivatives, and linear equations. We provide pre-bootcamp resources to help you brush up on linear algebra and statistics.
- Data Analytics: Beginner-friendly, with no prerequisites beyond motivation to start your tech journey.
- Data Engineering: Beneficial to have foundational skills in programming, databases, and data infrastructure. Successful data engineers often blend these technical skills with strong soft skills to solve complex data challenges. This bootcamp provides hands-on training to help you build or deepen these skills, whether you’re starting fresh or seeking advanced expertise.
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.
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.
