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Jungle Program:
Data Science Bootcamp

It is time to learn by doing and gain the skills that matter most in a Data Science career today. Join our first part-time program that teaches you how to become a Data Scientist in 2 months.

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Camille Van Hoffelen

Lead Teacher

The Practical Data Scientist

A hands-on journey from raw data to useful insights

This live course aims wide. It teaches you how to turn raw data into useful insights.

In 6 weeks, you will cover all topics required to join a Data Science team. This includes data munging, data exploration, and machine learning, using python frameworks like numpy, pandas, matplotlib, and sklearn.

This course is lean. You will learn to analyse datasets from scratch. However Data Science is a vast subject, so additional resources are provided for deeper dives into any of its subfields.

This course is pragmatic. All lectures consist of slides explaining key theoretical concepts, followed by a hands-on python notebook with coding exercises.

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Learn-by-doing with a live bootcamp

Live Online Bootcamp

Learn from anywhere with Wi-fi. Every week 3 hours of immersive live courses with experts on Machine Learning.

Practice your skills

The assignments serve to synthesise the previous course content on your own, and put it to practice.

Micro class of 7

From our experience, 7 is the perfect class size for bringing aspiring data scientists together to learn with each other.

Part-time training

Our part-time program is an immersive 6 weeks training. You'll jumping into 3 hours live classes, on Mondays and Wednesday and 3 to 5 hours of exercises every week.

Course Syllabus

Data scientists can tame all types of data and reveal their secrets. This course takes us through all the python tools needed to turn raw data into useful insights.

  • 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.

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.

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Camille, Lead Teacher

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.

He 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.

He 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.

Become a Successful Data Scientist

Transparent payment plan. 7-day money back guarantee after course kick-off.

The Practical Data Scientist Live Course

Next Bootcamp:
Monday, May 24 - Friday, July 2, 2021

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What you get:

  • 7-day money back guarantee after course kick-off
  • Join a class of 7 student developers
  • 3 hours of live interactive class per week
  • 3 to 5 hours of coding exercises per week
  • Flexible course schedule to match your availability
  • Demo day & certification of course completion
  • Connect with other students and learn together
  • Master the latest tools & languages in Data Science
  • 1:1 calls with your teacher
  • Join Jungle Program events with experts in Data Science
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Need help or have questions?

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