Data Science course in Lisbon

Lisbon
Full-time (9 weeks)

In 9 intensive weeks in Lisbon, learn all the skills of a Data Scientist. Analyse rich data sets, make complex decisions using data and discover the power of AI & Machine learning to solve real world problems.

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In 9 intensive weeks, learn Data Science from Python to advanced Machine Learning at Le Wagon.
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Upcoming batches
Jul 11, 2022 - Sep 9, 2022 Course in English (
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Oct 10, 2022 - Dec 9, 2022 Course in English (
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)
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We run Full Time Coding Bootcamps multiple times a year. Register to be notified as soon as the next batch is open for applications - Register here

Want to learn online? Discover our online bootcamps
Jul 18, 2022 - Sep 16, 2022
English 100% Online
Timezone: Europe/Paris (CET)
9 weeks (6,900 €)
Open - Apply now
Overview

Join an immersive Data Science course

Our Data Science course in Lisbon takes you from Data Enthusiast to Data Scientist in 9 weeks. You will be able to analyse data to make decisions, implement AI and Machine Learning models and build a practical data application ready for real-world deployment. Enter the world of Data Science as a Data Analyst, Data Engineer or Data Scientist, enhance your academic studies, solve global issues, or advance your career with our 600+ global hiring partners in industries such as marketing, finance, and commerce with a unique data skillset.

Le Wagon's Data Science course gives you the data science skills you need to launch your career in any data-related role.
Learn Data Science in 9 weeks
Check out what our alumni have built in 2 weeks
Curriculum

Our Data Science curriculum

Our course in Lisbon is designed to help you learn Data Science step by step. Use data to provide actionable insights and build a real-world data application to showcase your skills.

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Python for Data Science

Learn programming in Python, how to work with Jupyter Notebook and to use powerful Python libraries like Pandas and NumPy to explore and analyse big data sets. Collect data from various sources, including CSV files, SQL queries on relational databases, Google Big Query, APIs and Web scraping.

Relational Database & SQL

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.

Data Visualization

Make your data analyses more visual and understandable by including data visualisations 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.

Statistics, Probability, Linear Algebra

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.

c pulse Statistical inferences

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.

speaker Communication

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.

Preprocessing and Supervised Learning

Learn how to explore, clean, and prepare your dataset through preprocessing techniques like vectorisation. 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).

Generalisation and Overfitting

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.

Performance Metrics

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).

Unsupervised Learning & Advanced Methods

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.

Neural Networks

Unveil the magic behind Deep Learning by understanding the architecture of neural networks (neurons, layers, stacks) and their parameters (activations, losses, optimisers). 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.

Computer Vision

Go further into computer vision with Convolutional Neural Networks, architectures designed to make the most out of images. Improve your model generalisation thanks to data augmentation techniques and implement advanced methods to benefit from state-of-the-art architectures thanks to Transfer Learning methods.

Times-Series & Text data

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.

Deep Learning made easy

Discover the Keras Deep Learning library which enables you 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.

Machine Learning Pipeline

Move from Jupyter Notebook to a code editor and learn how to set up 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.

Machine Learning workflow with MLflow

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.

Deploying to production with Google Cloud Platform

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 into any front-end interface.

Solve real-world problems with Data!

The final weeks of the course will culminate in the delivery of your capstone project! Working collaboratively in small teams, the project will allow you to utilise all the skills you have learned throughout the bootcamp in order to solve a real world data science problem.

  • Collaborate efficiently in teams of 3-4 people on a real data science project through a common Python repository.
  • 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.)
  • Put into practice all the tools, techniques, and methodologies covered in the Data Science Course.
  • Invent, pitch, design, code, and deploy your fully functioning Data Project, to be used in real-life scenarios and as a portfolio-ready application to showcase your new data science skill set.

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Really good globally. Very intense content and rhythm but the way is built with Kitt, the lecture and challenges are great.

Olivier Paulo
Olivier PauloData Engineer at DareData Engineering
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A very good experience and the best choice I have made in years. I haven't felt so intellectually stimulating for a long time.

Anaísa Silva
Anaísa SilvaData Scientist at Capgemini
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I really enjoyed the bootcamp, the batch, the teachers, and the material.

Ben Collier
Ben CollierData Scientist at Nova SBE
Admission & prep work

Admission & prep work

Our Data Science course requires a basic level of Python & Mathematics. As we want all of our students to succeed, you'll be able to test your level and refresh your skills before the Bootcamp starts.

Admission prerequisites in Python & Maths
  • Python prerequisites

    You'll need to be comfortable with data types & variables, conditions, loops, functions and data structures (List & Dictionary).

  • Mathematics prerequisites

    You'll need a High School level of Maths, meaning you will be comfortable with functions, derivatives, and systems of linear equations.

  • Testing your skills

    After a chat with our Admissions team, you will receive a Python & Mathematics Quiz to help you and the Admissions team better understand your current level in Python & Maths. We'll also provide you with a set of additional free learning resources to help you match the prerequisite level for the Bootcamp.

Post-admission prep work

Once you have been accepted onto the Data Science Bootcamp (congrats!), you'll receive ~ 40h of online learning resources. We require all of our students to complete this before the Bootcamp starts, either at their own pace or during our Data Prep Week.

The Data Prep Week takes place the week before the official start date of the Bootcamp. This is an additional week of interactive online learning designed to help you get through this content as efficiently as possible and ensure you have the necessary foundations in Python before the bootcamp starts.

Typical day

A typical day at Le Wagon Lisbon

From morning lectures to evening talks, every day in Lisbon is action-packed.

  • 09:00 Lectures
  • 10:30 Challenges
  • 16:00 Yoga
  • 17:00 Recap
  • 18:00 Events 20:00
Lectures
Lectures09:00 - 10:30

Grab a coffee and start every morning with an engaging & interactive lecture, before putting what you’ve learnt into practice.

Challenges
Challenges10:30 - 16:00

Pair up with your buddy for the day, and work on a series of programming challenges with the help of our teaching staff.

Yoga
Yoga (Optional)16:00 - 17:00

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.

Live code
Recap17:00 - 18:00

Review the day’s challenges and get an overview of upcoming lessons during live code sessions.

Talks & Workshops
Events (Optional)18:00 - 20:00

Be inspired and get priceless advice from successful entrepreneurs invited for exclusive talks.

Career week

Career Week

At the end of the bootcamp, we will organise 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 a Data Science role, exploring career opportunities with your new data skill set, or launching your start-up.

Workshops Workshops

Benefit from a combination of panel discussions, workshops, presentations, and assignments to help you find the right career path.

Becoming job-ready Becoming job-ready

Prepare your personal profile, complete job applications, prepare for technical challenges, and make a game plan for after the bootcamp!

Inspiration Inspiration

Hear from alumni about their post-Bootcamp journeys and what a typical day looks like in their new careers.

Custom-made 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

Timetable for the week
Monday
  • Discover career paths
Tuesday
  • Prepare for a job application
Wednesday
  • Prepare for technical challenges
Thursday
  • Apply for jobs
Friday
  • Game plan post bootcamp
Data project

Dataproject.

The last weeks of our Data Science course in Lisbon will culminate in the delivery of a fully deployable data application. Working collaboratively in small teams, the data project will allow you to utilise all the skills you have learned throughout the bootcamp in order to solve a real-world data science problem.

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Awesome Mask Detector

Thanks its face recognition system, Awesome Mask Director allows companies to receive alerts by email or phone call when the camera detects employees not wearing a mask.

Business Success Predictor Player iconPlay video.Play video

Business Success Predictor

Are you a restaurant owner or want to become one? Predict the review score of unopened businesses and tailor advice to existing businesses based on demographic factors.

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Football Value Predictor

Real-time prediction of market values of football players based on FIFA attributes.

Teachers

Passionate teachers

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.

Joao Calem
Joao Calem

With a background in mechanical engineering, João joined Le Wagon as a student in batch #613. He is now Batch Manager and teacher for the data science bootcamp, helping other aspiring data scientists reshape their future.

more about Joao
Margarida Campos
Margarida Campos

Data Scientist with a big passion for maths and education. After being a Data Scientist at OutSystems, Margarida worked as a Deep Learning and NLP researcher. Currently working as a teacher at Le Wagon, spreading her passion for Mathematics and Data.

more about Margarida
Qiwei Han
Qiwei Han

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 Qiwei
Jose Lourenco
Jose Lourenco

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
Community & tools

Network and learning platform

Lisbon'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.

Slack icon Slack groups

Get tips and advice from professional data scientists & data analysts, access exclusive job and freelance opportunities from entrepreneurs & developers.

Online classroom

Access our online education platform at any time after the course: you will find all data science lectures, screencasts, challenges and flashcards.

Tech community

Benefit from our global community of 14,932 alumni working in data-related roles, but also entrepreneurs, developers and product managers all over the world.

Icon tutorials Global presence

Our different courses are running in 41 campuses all over the world: wherever you go, you belong to the Le Wagon community!

Community and tools for life
Career services

Find a data job in the best business & tech companies in Lisbon

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.

microsoftwordCreated with Sketch. Career Playbook

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 14,932 alumni community.

myspaceCreated with Sketch. Career Events

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.

buymeacoffeeCreated with Sketch. Alumni Coaching Sessions

Our Data Science Course alumni love to share their experiences with more recent graduates. They explain how Le Wagon helped them find their dream role in Data Science and share insights into how they used their new data skill sets to accelerate their careers in various sectors, such as marketing, finance, healthcare and academic research.

wechatCreated with Sketch. Career Intros

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.

Our web development course alumni get hired by the best companies
Student outcomes

Where our alumni work in data in Lisbon

The best companies partner with Le Wagon and hire our alumni as Data Scientists, Data Analysts, Product Managers or Data Engineers.

Getaround Hired 6 graduates
+4
ContentSquare Hired 1 graduates
Aircall Hired 3 graduates
+1
Doctolib Hired 9 graduates
+7
Google Hired 5 graduates
+3
Frichti Hired 1 graduates
Financing options

Find the right financing option for you

Find out if you are eligible for special offers in Lisbon.

Payment Plans - Pay as you learn!

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.

Income Share Agreement - Fundação José Neves
Income Share Agreement - Fundação José Neves

After being accepted to any of our bootcamps, students who have a Portuguese Citizenship Card ("Cartão de Cidadão") 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).

[Portuguese Fiscal Residents] Local's Scholarship

⚠️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.

[Portuguese Fiscal Residents] Get up to 800€ of your tuition back

As Le Wagon Lisbon is certified by DGERT, fiscal residents in Portugal may deduct up to 30% of their Le Wagon tuition from their personal income tax. According to current legislation, expenses in education can be reimbursed up to a maximum of 800€ for a given household. For more information, please refer to Artigo 78.º-D of CIRS

Nova SBE Alumni Discount

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 Alumni Discount

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.

The most acclaimed Data Science Bootcamp and courses

Le Wagon is the #1 ranked coding bootcamp on Switchup Coursereport logo

Le Wagon has 2271 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, which 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 2271 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 41 cities we run our coding bootcamps in.

Campus Le Wagon Lisbon

Le Wagon Lisbon Coding Bootcamp

Data Science course in Lisbon
Le Wagon Lisbon Coding Bootcamp
Rua do Conde de Redondo 91B

FAQ

Any questions about our program in Lisbon

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.

What's the average cost of living in Lisbon?

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

Sample of 90 students surveyed in 2019 on Living Expenses

You can find detailed information on where to book a place in our accommodation guide

What's the local to foreigner ratio in your full-time bootcamp?

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).

Do I need to know math to do the Data Science Bootcamp?

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 bootcamps start! Get in touch with our admissions team so that they can give you prep-work that suits your needs.

Even if you don't feel ready yet, our admissions managers can give you the free material to prepare before the bootcamp.

Do I need to know programming to do the Data Science Bootcamp?

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.

To get up to speed, some preparation work is given to applicants before the bootcamps start! Get in touch with our admissions team so that they can give you prep-work that suits your needs.

Even if you don't feel ready yet, our admissions managers can give you the free material to prepare before the bootcamp.

Is the bootcamp on-campus? How do you handle COVID-19 restrictions?

We're running current bootcamps on-campus with the possibility of attending remotely.

Teachers and the majority of students are on campus. However, we are also live-streaming classes and have a remote environment available to allow student to still attend classes even if they have to do any quarantine period, test positive for COVID or just prefer to the bootcamp from home. So it's actually a hybrid format - with the standard being all on campus and having classes streamed with online interaction to allow for flexibility!

As to COVID-19 restrictions, we follow all measures recommended by the health authorities in Portugal. We also recommend and provide free tests for weekly testing to all our students.

Where should I stay in Lisbon?

Have a look at our Accommodation Support Doc for Lisbon. You can find a benchmark of past alumni expenses and a guide on partnership and hot links to save you time looking for a place!

Do you offer any ISAs or financing agreements?

Yes! Le Wagon is an eligible partner of Fundação José Neves. You can check more information about them here. By being given an ISA, you only start paying for the bootcamp once you're employed!

We also have payment plans available so that you can pay as you learn, and offer scholarships for Portuguese nationals and residents! Get in touch with our admissions team.

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.

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Want to go further?

Next Lisbon Data Science course (full-time coding bootcamp) starts on Jul 11, 2022

Apply now
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