In 9 intensive weeks in Lisbon, learn Data Science from Python to advanced Machine Learning, get all the skills to join a Data Science team and boost your career.
Our full-time Data Science course in Lisbon gives you the skills you need to launch your career in a Data Science team in only 9 weeks. From Pandas to Deep Learning, you will finish the course knowing how to explore, clean and transform data into actionable insights and how to implement Machine Learning models from start to finish in a production environment, working in teams with the best-in-class tool belt.
Our course in Lisbon is designed to make you learn data science step by step, from the basic data toolkit in Python to implementing Machine Learning model in a production environment.
Our Data Science course is very intense. To save time and nail it from the beginning, our students must complete an online preparation work before starting the bootcamp. This work takes around 40 hours and covers the basics of Python, the pre-requisite language of the course, and some mathematical topics used every day by data scientists.
Learn programming in Python, how to work with Jupyter Notebook and to use powerful Python libraries like Pandas and NumPy to explore and analyze big data sets. Collect data from various sources, including CSV files, SQL queries on relational databases, Google Big Query, APIs and Web scraping.
Learn how to formulate a good question and how to answer it by building the right SQL query. This module will cover schema architecture and then dive deep into the advanced manipulation of SELECT to extract useful information from a stand-alone database or using a SQL client software like DBeaver.
Make your data analyses more visual and understandable by including data visualizations in your Notebook. Learn how to plot your data frames using Python libraries such as matplotlib and seaborn and transform your data into actionable insights.
In Lisbon you will learn about the underlying math behind all the libraries and models used in the bootcamp. Become comfortable with the basic concepts of statistics & probabilities (mean, variance, random variable, Bayes’s Theorem, etc.) and with matrix computation, at the core of numerical operations in libraries like Pandas and Numpy.
You'll learn how to structure a Python repository with object-oriented programming in order to clean your code and make it re-usable, how to survive the data preparation phase of a vast dataset, and how to find and interpret meaningful statistical results based on multivariate regression models
Data analysts are meant to communicate their findings to non-technical audiences: You will learn how to create impact by explaining your technical insights and turn them into business decisions using cost/benefits analysis. You'll be able to share your progress, present and compare your results to your teammates.
Learn how to explore, clean, and prepare your dataset through preprocessing techniques like vectorization. Get familiar with the classic models of supervised learning - linear and logistic regressions. Learn how to solve prediction and classification tasks with the Python library scikit-learn using learning algorithms like KNN (k-nearest neighbors).
Implement training and testing phases to make sure your model can be generalised to unseen data and deployed in production with predictable accuracy. Learn how to prevent overfitting using regularization methods and how to chose the right loss function to improve your model's accuracy.
Evaluate your model's performance by defining what to optimise and the right error metrics in order to assess your business impact. Improve your model's performance with validation methods such as cross validation or hyperparameter tuning. Finally, discover a powerful supervised learning method called SVM (Support Vector Machines).
Move to unsupervised learning and implement methods like PCA for dimensionality reduction or clustering for discovering groups in a data set. Complete your toolbelt with ensemble method that combine other models to improve performance, such as Random Forest or Gradient Boosting.
Unveil the magic behind Deep Learning by understanding the architecture of neural networks (neurons, layers, stacks) and their parameters (activations, losses, optimizers). Become autonomous to build your own networks, especially to work with images, times and text, while learning the techniques and tricks that make Deep Learning work.
Go further into computer vision with Convolutional Neural Networks, architectures designed to take the most out of images. Improve your model generalization thanks to data augmentation techniques and implement advanced methods to benefit from state-of-the-art architectures thanks to Transfer learning methods.
Get comfortable into managing sequential data and text (sequence of words) by transforming them into appropriate inputs. Leverage the power of Recurrent Neural Networks to forecast future values and perform valuable Natural Language Processing.
Discover the Keras Deep Learning library which enables to prototype easily while having the flexibility to tune precisely your neural network. Moreover, Google Colab will greatly speed up the computational time thanks to dedicated GPUs.
Move from Jupyter Notebook to a code editor and learn how to setup a machine learning project in the right way in order to quickly and confidently iterate. Learn how to convert a machine learning model into a model with a robust and scalable pipeline with sklearn-pipeline using encoders and transformers.
Building a machine learning model from start to finish requires a lot of data preparation, experimentation, iteration and tuning. We'll teach you how to do your feature engineering and hyperparameter tuning in order to build the best model. For this, we will leverage a library called MLflow.
Finally, we'll show you how to deploy your code and model to production. Using Google Cloud AI Platform, you'll be able to train your model at scale, package it and make it available to the world. Cherry on top, you will use a Docker environment to deploy your own RESTful Flask API which could be plugged to any front-end interface.
You'll spend the last two weeks on a group project working on an exciting data science problem you want to solve! As a team, you'll learn how to collaborate efficiently on a real data science project through a common Python repository and the Git flow. You will use a mix of your own datasets (if you have any from your company / non-profit organisation) and open-data repositories (Government initiatives, Kaggle, etc.). It will be a great way to practise all the tools, techniques and methodologies covered in the Data Science Course and will make you realize how autonomous you have become.
The Data prep-week is an additional week of interactive online learning designed to help candidates strengthen their Python skills the week just before the official start of the Bootcamp. The objective is to provide candidates with strong foundations to make the most of their intensive 9 or 24-week learning journey.
From morning lectures to evening talks, every day in Lisbon is action-packed.
Grab a coffee and start every morning with an engaging & interactive lecture, before putting what you’ve learnt into practice.
Pair up with your buddy for the day, and work on a series of programming challenges with the help of our teaching staff.
Learning to code can be very intense. If you want, you can make the most of the yoga classes we organize on certain days to relax and take a break.
Review the day’s challenges and get an overview of upcoming lessons during live code sessions.
Be inspired and get priceless advice from successful entrepreneurs invited for exclusive talks.
At the end of the bootcamp, you are welcome to join our Career Week. This week gives you the tools you need to take the next steps in your career, whether it is finding your first job in tech, building a freelance career, or launching a start-up.
Workshops
Benefit from a combination of panel discussions, workshops, presentations, and assignments to help you find the right career path.
Becoming job-ready
Prepare your personal profile, complete job applications, prepare for technical challenges, and make a game plan for after the bootcamp!
Inspiration
Hear from alumni about their post-Bootcamp journeys and what a typical day looks like in their new careers.
Custom-made
You can join any workshops or watch any tutorials that you are interested in. You create your own career week according to your interests and objectives
Since day one, we’ve taken teaching seriously. Great teachers inspire us to connect to topics on a profound level. Experience as a developer alone doesn’t necessarily make one an effective teacher — that’s why we’re passionate about finding not only great engineers, but deeply committed, experienced teachers.
With an engineering background, João is an alumni from Lisbon's very first bootcamp in 2016 (shout out #batch28). He has been teaching with Le Wagon ever since and dived into Data Science. He is now our beloved batch manager, teacher and developer.
more about João
With a background in computer science, José has been building data products at big telcos and fast-growing startups for the last 10 years, in fields as NLP and Cyber Security. José helps students build their own products by teaching data engineering.
more about Jose
Nick taught himself programming while working in tech support at bluehost.com about 10 years ago. Although Ruby and Javascript are his primary languages, he also has experience in Python and Perl.
more about Nicholas
Qiwei is currently an Assistant Professor of Data Science and Business Analytics at Nova School of Business and Economics (Nova SBE), Portugal. He is an affiliated faculty with the Data Science Knowledge Center of Nova SBE.
more about QiweiLisbon's Data Science course is just the beginning of the journey. Once you graduate, you belong to a global tech community and have access to our online platform to keep learning and growing.
Get tips and advice from professional data scientists & data analysts, access exclusive job and freelance opportunities from entrepreneurs & developers.
Access our online education platform at any time after the course: you will find all data science lectures, screencasts, challenges and flashcards.
Benefit from our global community of 12,840 alumni working in data-related roles, but also entrepreneurs, developers and product managers all over the world.
Our different courses are running in 44 campuses all over the world: wherever you go, you belong to the Le Wagon community!
Once the course ends, you benefit from our career services. We help you meet with the best recruiters in Lisbon and connect with relevant alumni.
Access a complete guide to kick-start your Data Science career in Lisbon after the course: boost your portfolio, find your dream job, leverage on our 12,840 alumni community.
Attend our job fairs and networking events, meet with the best tech companies and receive offers by recruiters looking for talent in data-related roles.
Our data science course alumni love to share their experiences with fresh graduates: they explain how they found their job as Data Scientist, Data Analyst or Data Engineer.
Our local teams know their alumni and hiring partners, what they are up to and what they are looking for. They introduce you to the right people depending on your goal.
The best companies partner with Le Wagon and hire our alumni as Data Scientist, Data Analyst or Data Engineer.
Hired 6 graduates
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Hired 9 graduates
Hired 5 graduates
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Find out if you are eligible for special offers in Lisbon.
Take it easy, we have payment plans available for you! After you pay the initial deposit, you can pay the remainder of the tuition as you’re doing the Bootcamp. Get in touch with our team for more details.
⚠️Eligibility: Resident in Portugal (>6 months)
We offer each scholarship recipient a €1.000 discount on the total cost of Le Wagon’s Full-time bootcamps tuition. We believe in making technology more open and available in order to foster creativity and develop the skills that will in turn further Portugal’s ecosystem.
Scholarships are only offered to applicants that are residents in Portugal for a minimum of 6 months. To be eligible, applicants must successfully complete Le Wagon's standard admissions process and be officially accepted.
After being accepted to any of our bootcamps, students who are fiscal residents in Portugal may apply for an Income Share Agreement (ISA) with our partner Fundação José Neves (FJN).
Once your application is approved, FJN will take care of your full tuition fees so that you can focus solely on enjoying your experience and solving our mind-blowing bootcamp challenges!
After your graduation, and only once you have found your dream job in tech, you will repay the tuition through a small percentage of your salary (above a pre-defined minimum income).
If you've graduated from one of our bootcamps, you are very likely to be interested in repeating your unforgettable experience!
By leveraging your tech skills, you will be able to differentiate your web apps with machine learning or deep learning models or to deploy your data-based products through a full-stack web app.
Therefore, we offer Le Wagon Alumni a 20% discount (over our basis price of €6.500) on all our bootcamps here in Lisbon. This way, you may choose to have a 9 weeks break or to upgrade your tech stack over 24 weeks, while you ace your current tech job.
We are very proud to collaborate with Nova SBE, one of the top business schools in Europe, on our data science programs.
Therefore, we offer Nova SBE undergraduate, masters and executive education alumni a 20% discount (over our basis price of €6.500) for our part-time Data Science Bootcamp @Nova SBE.
Le Wagon has 2145 reviews with an average grade of 4.98/5 which makes it the most acclaimed coding bootcamp worldwide on Switchup according to student reviews! Whilst these reviews make us proud, above all they make us happy. Behind these reviews are hundreds of people around the world who have had a life-changing experience joining our program, that has opened new doors for them. We feel blessed and honoured to have enabled them - and to keep enabling our students - to become autonomous in coding, upskill or change their career, or launch their own startups.
Also, these 2145 reviews are extremely important for us to make sure we’re always meeting the same level of excellence. Having such positive and enthusiastic reviews about our bootcamps is the ultimate proof that we provide the best tech education for all our students, in the 44 cities we run our coding bootcamps in.
Data Science course in Lisbon
Le Wagon Lisbon Coding Bootcamp
Rua do Conde de Redondo 91B
If you got here, it means that you have questions about Le Wagon: how to apply, who can join, what you’ll learn… Good! We have the answers.
A minimum math level of “Matemática A - 11º ano” [High School Junior Year] is required for the batch. We need you to be comfortable with Functions, their Derivatives & System of linear equations. To get up to speed, some preparation work is given to applicants before the bootcamp start: Calculus, Linear Algebra & Statistics.
Yes, a fair minimum. Our Data Science bootcamp is very intense and will jump into advanced topics from the very first week. Unlike our FullStack Web Development bootcamp where we spend 3 weeks learning Ruby from scratch, applicants for the Data Science bootcamp need some programming.
How much? You must be comfortable with data types & variables, conditions, loops, functions and the two data structures list & dict [named Array and Hash in Ruby]. If you know those topics in Ruby, JavaScript or some other language than Python, feel free to embark on those free Fundamentals & Intermediate courses before the bootcamp.
For Nova SBE students, we have also found that the Introduction to Programming undergraduate course can give a suitable enough foundation to count as a pre-requisite.
In Lisbon, we typically have 10 nationalities represented on average in our full-time bootcamp with anywhere from 40% to 70% coming from abroad (depending on the time of year).
According to previous Le Wagon Lisbon alumni who came from abroad, here's the average cost of living over the last few years -
Average cost of living (excl. rent): €557
Average rental cost (private room): €384
Average rental cost (entire flat): €984
Have a look at our Accommodation Support Doc for Lisbon -https://lewagon.notion.site/Accommodation-Guide-23234df5b6aa43f38560d0443269132e
For more questions & answers, you can visit our FAQ section! If you would like to discuss with Le Wagon team, don't hesitate to contact us.
Next Lisbon Data Science course (full-time coding bootcamp) starts on Jan 10, 2022
