I. The course's content.
👉 A year spent in building this course
It is not a coincidence Le Wagon started its Data Science in 2020: the market is ready and Data Science jobs are increasing greatly, which was not the case when Le Wagon started in 2013.
Our technicals teams spent a year designing this course with industry experts from Instacart, Machine Learning Academy, Airbnb, STYCKR, Ava Accessibility and Resteo. This is the guarantee that what you will learn, and the tools you will use, are in adequation with the industry today. As it is a very fast-changing industry, we are constantly getting feedbacks from both teachers and students to improve and update the course as time goes by 📊
It has been running in Paris, London, Berlin and Shanghai since January 2020, with great success. The course will be launched this year in Lisbon, Brussels, Buenos Aires, Mexico, Lyon, Tokyo, Bordeaux, Belo Horizonte, Marseille, Montreal, Rio de Janeiro, São Paulo, Amsterdam, and Singapore. That's right, we are not joking around: Le Wagon wants to train 7000 people in Data Science by 2023 💪
👉 The most up-to-date curriculum to get you market-ready
The Data Science Bootcamp, much like the Web Development one, is Product-Oriented. The objective is to have you graduating with Data Science Projects under your belt. This is why you will spend the last two weeks of the Bootcamp working on solving a business problem! This is a very important step for our students as this project can be a launchpad to the job of their dreams ✨
🚀 Weeks 1-2: Data Science fundamentals
🚀 Week 3: Decision Science
🚀 Weeks 4-5: Machine Learning
🚀 Week 6: Deep Learning
🚀 Week 7: Data Engineering
🚀 Weeks 8-9: Data Science Final Projects
🚀 Demo Day: Presentation of the Final Projects
And if you want to get really specific, here are some of the numerous tools and skills you will learn:
- Data Science tools: Jupyter Notebook, Pandas, data visualization
- Mathematics principles of Data Science: statistics, probabilities, linear algebra
- Machine Learning: linear and logistic regression, scikit-learn, overfit problem
- Machine Learning in production: Google Cloud Platform
- Deep Learning: Kears, brain cells network, computer vision, Natural Language Processing (NLP)
- Good practices: GitHub, Data Science projects management, presentation of the results and recommendations
Each participant leaves the Bootcamp with all the tools and knowledge needed to collect, store, clean, explore and use data, as well as predicting behaviors based on data. You're ready for the market as you finish the course 🎓
👉 Remote or on-campus
The current situation in Melbourne is not the best, that is a fact. Luckily, we adapted to the situation months ago: our batches have been running remotely since March. Same great content, same great teachers, same loving and caring staff... In the comfort of your own home. When the situation gets better, and if you wish, you will be able to do the course on-campus.
You don't live in Melbourne and still want to follow the course? Well, you're in luck: we will run a hybrid course, which means you can do it fully remotely, no matter where you are based 🌏
II. The course's pedagogy.
👉 Our very best recipe
This new course’s recipe includes Le Wagon’s most successful ingredients: its intensive format, and its content, which is 80% made of hands-on exercises on real data science projects 💪
👉 Putting the word 'team' in 'teamwork'
Teamwork as our number one priority, and you will definitely feel it throughout the course.
Andrew Deece, the lead teacher, is a machine learning engineer specialized in AI Research. He worked on huge transformation projects for blue-chip companies, and became interested in the efficient use of Data analysis for design, build, automation, and optimization.
"I'm fascinated by how Machine Learning can be used to solve challenging real-world problems. Teaching is another passion of mine, and with teacher parents, I naturally learned how to teach complicated stuff with an easy-to-follow language."
- Andrew, lead teacher
👉 Career coaching
During the Bootcamp, you will also have personal coaching sessions and workshops with Jamie Speight, a professional coach and career mentor. He will help you pave your own path to the tech world, step by step 💪
We believe in our pedagogy and its capacity to change people's lives. It is not a coincidence that the Bootcamp has been ranking #1 Bootcamp on Switchup and CourseReport for 4 years in a row (not that we are bragging)🥇
III. The current market for Data Science in Melbourne.
Data Scientist was already named 'the sexiest job of the 21st' by Harvard Business Review in 2012. They were absolutely right. It is already an incredibly high demand market, and it will only increase as we now produce more than 2.5 quintillion bytes... per day. Forbes reported in 2018 that 90% of the world data were produced in the last couple of years. Taking this into consideration, it is no surprise to see the demand for data scientists increasing greatly in Australia and all over the world 📈
According to Indeed (see chart), the job postings for Data Science jobs increased by 58% in 2019. Data Engineers and Data Scientist are the 3rd and 4th most demanded digital skills in 2019 in Australia according to Hays Jobs Report. With the COVID-19 crisis, many tech companies worldwide moved remotely and are now willing to hire in other countries. Working remotely can get you even more job opportunities!
To put it in very simple words... Data is the new gold 🏆
Convinced? We bet you are! Join us this spring, remotely or in Melbourne!
Full-Time: October 12th to December 11th 2020 - 10,500AUD
📅 9 weeks
💻 remote & on-campus options
🏆 career coaching during and after the Bootcamp
🌏 a worldwide network of alumni, partners, and teachers
We are very excited to start this new adventure, and we can't wait to meet you!