Camille Van Hoffelen

Camille Van Hoffelen

Lead Teacher

Upcoming live training in data science

Data science course

Next training: Fall 2021

Join a 6-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.

Enroll & Start learning
Data Science Course Syllabus

Learn Data Science

  • 👋 Who is this for

    This course is perfect for the beginner coder looking to start a career in Data Science, the software engineer curious about Machine Learning technologies, or the AI enthusiast searching for more practical experience.
  • 📚 Requirements

    Beginner programming skills are required. A little python experience (can you define a function?), and some statistical basics (what's a standard deviation?) are recommended.
🐍 Test my Python skills

Detailed course program

You will learn how to tame all types of data and reveal their secrets with Python 🐍

  • You will first learn to manipulate and visualise tabular, time series, image, text, and geospatial datasets.
  • Then, our first steps into Machine Learning: clustering, dimensionality reduction, and anomaly detection methods to level-up our exploratory data analysis.
  • Next, you will train on regression and classification models to implement predictive analytics.
  • Finally, you will learn to build powerful and accurate Machine Learning models by digging into practical evaluation and optimisation techniques.
  • At last, the final project will reinforce our new data science skills by analysing a public dataset from scratch.
Data Science Course Syllabus

Week 1

Data munging

The nitty-gritty of data analysis: this chapter teaches you how to load, clean, and manipulate basic datasets in python.

Week 2

Data exploration

Beyond tables: learn how to extract and communicate key insights from time-series, text, and image datasets.

Week 3

Unsupervised learning

Analytical power-up: this chapter adds clustering, dimensionality reduction, and anomaly detection to your data analysis techniques.

Week 4

Supervised learning

Moving past data summaries: this chapter introduces predictive models to solve fundamental machine learning tasks.

Week 5

Advanced supervised learning

Taming the beast: this chapter shows how build accurate and effective machine learning models.

Week 6

Final project

This chapter tests your skills on a public dataset by completing an exploratory data analysis report, and training at least one Machine Learning model.

Camille Van Hoffelen

Meet Your Teacher

Camille Van Hoffelen

Camille has worked as a Machine Learning Engineer for the last 7 years (Seal, DocuSign...), with a focus on large scale Natural Language Processing systems.

Camille graduated with an MSci in Physics from Imperial College London, before catching the data science bug and diving into legal AI with Seal Software, later acquired by Docusign.

He was a lecturer in Machine Learning at Ilia State University, and remains an avid presenter at meetups and hackathons around Europe.

Camille is currently the CTO & Co-founder of Watergenics, where he strives to build a sustainable future for our blue Planet by augmenting water quality sensors with AI.

Practical Data Science

5 seats left


Next training: July 19 - August 27

Enroll & start learningTest my Python skills

What you get

  • Part-time training
  • Join a micro-class of < 10 students
  • Compatible with your full-time job
  • 3 hours of live interactive class per week
  • 3 to 5 hours of coding exercises per week
  • Demo day & certification of course completion
  • Connect with other students and learn together
  • Master the latest tools & languages in machine learning
  • 1:1 calls with the teachers
  • 5-day free trial
  • Eligible to CPF financing in France 🇫🇷

Drop us a line

We'd be happy to answer your questions, and check together if the program is a good fit for you.

Meet the community

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.

Data Science
Machine Learning

Amine, from DevOps to Machine Learning Engineer.

Read Amine’s story of how he started his career as DevOps at Orange, his passion for building drones, and you will know how he’s using data science and machine learning skill tree to capture the emotions through his drone in dangerous environments.

Leonie combines aerospace engineering and Data Science
Data Science
Machine Learning

Leonie combines aerospace engineering and Data Science

Read Leonie’s story of how she did her research about aeroelasticity at MIT & TU Berlin, how she does data analysis in aerospace engineering, and you will know more about her new challenges as a Machine Learning engineer in the aerospace industry.

Negar, machine learning engineer & founder of Elaratech
Data Science
Machine Learning

Negar, machine learning engineer & founder of Elaratech

Read Negar’s story of how she started off her career as a back-end developer in Georgia, became interested in Data Science & Machine Learning Engineering, and recently launched her company to enforce machine learning into mobile applications.

Frequently Asked Questions

Financing & Payment

The is a part-time online course that can be done entirely from your home or office. The price is 1600 € tax included.
Yes, we are flexible with the payment plans. Please contact us via the chat to discuss the payment options we have available.
It’s with great pleasure that we announce Jungle Program is an official CPF-Eligible training.
Yes. Take a free 5-day trial. You will not pay anything unless you decide to continue.


You will take part in a 1.5-hour course, every Monday and Wednesday, and receive the full support of our expert trainer. You will experience a total of 36 hours of training including 18 hours of hands-on coaching with our expert professors.
Yes, our online courses are created for anyone with a full-time job. You can take your training in your spare time.
We offer you the mentorship you need to take your career to the next level. We’ll stay in touch and guide you throughout your career, no matter where it takes you.
Every week, you’ll be given a set of hands-on homework assignments that will guide your growth. You will have the opportunity to show your skills, knowledge and expertise through exercices, a final project, and an evaluation by our team of teachers. Upon completion, you will become a Jungle Program Certified Data Scientist.