Do I need any special equipment to follow the training?

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.

I don't currently have an idea of a final project to work on. Is it a problem?

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.

Machine Learning & Python Course

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:

Python

Jupyter

Pandas

Plotly

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:

Scikit-Learn

Machine Learning

PyCaret

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:

Machine Learning

Facebook Prophet

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: