Next training: November 14 to January 21
Join an 8-week part-time training to practice and gain strong foundations in data science and machine learning.
Coding and math may seem intimidating at first, this live training will help you to become a key player in your Data Science team.
Part-time course compatible with your full-time job.
You will learn how to tame all types of data and reveal their secrets with Python 🐍
The nitty-gritty of data analysis: this chapter teaches you how to load, clean, and manipulate basic datasets in python.
Beyond tables: learn how to extract and communicate key insights from time-series, text, and image datasets.
Analytical power-up: this chapter adds clustering, dimensionality reduction, and anomaly detection to your data analysis techniques.
Moving past data summaries: this chapter introduces predictive models to solve fundamental machine learning tasks.
Taming the beast: this chapter shows how build accurate and effective machine learning models.
Expanding your model vocabulary: this chapter goes through Naive Bayes, Decision Trees, and Support Vector Machines (SVMs), and boosts them with ensemble methods.
Week 7 & 8
This chapter tests your skills on a public dataset by completing an exploratory data analysis report, and training at least one Machine Learning model.
Amric Trudel graduated from McGill University in Montréal and studied Computer Science at 42 Paris.
He has been the president of 42 Artificial Intelligence, an association in which he developed training programs on Machine Learning and supervised the creation of bootcamps for his fellow students.
Amric has also given Machine Learning initiation workshops to large company executives. He now works at OCTO Technology as a Data Science consultant and industrializes data-oriented projects for clients like InVivo, Total, and Accenture.
November 14 to January 21
What's included in the live course:
Drop us a line
We'd be happy to answer your questions, and check together if the program is a good fit for you.
Alumni, students & teachers are the heartbeat of the Jungle Program community.
Graduates are data scientists, machine learning engineers, full-stack developers and CTO of startups.