Corso di Data Science a Lisbon

Part-time (24 weeks) @Nova SBE

in 24 settimane intensive, impara il Data Science da Python al Machine Learning avanzato, apprendi tutte le competenze necessarie per unirti a un team di Data Science e dai una svolta alla tua carriera.

Iscriviti ora
In 24 settimane part-time, impara il Data Science da Python a Machine Learning avanzato a Le Wagon Lisbon
Dettagli del corso Iscriviti ora

Some of our upcoming courses in Lisbon can be followed remotely. After you complete your application, the admission manager will be in touch shortly to give you all the necessary information.

Nova SBE & Le Wagon

In an increasingly data-driven world, Le Wagon and Nova SBE are combining expertise to answer the rising demand for Data Scientists. In this bootcamp, you will learn not only to apply data science: you will acquire insight into how and why methods work so you will be able to construct solutions to new challenges in data science.

Iscriviti a un corso unico

Il nostro corso di data science part-time ti fornisce le competenze necessarie ad avviare una carriera in un team di data science, tutto in 24 settimane studiando alcune sere infrasettimanali e il sabato. Da Pandas al Deep Learning, finirai il corso sapendo come fare data cleaning, esplorare e trasformare dati in informazioni utili e implementare modelli di machine learning dall'inizio alla fine in un product environment, lavorando in team con i migliori strumenti a disposizione.

Il corso di Data Science di Le Wagon ti fornisce le competenze di data science necessarie per dare inizio a una carriera in qualsiasi ruolo del settore.

Il curriculum del nostro corso di data science

Il nostro corso di web development è strutturato in modo da permetterti di imparare a programmare passo per passo, dai data toolkit di base su Python all'implementare un modello Machine Learning in un ambiente di produzione.

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Start the bootcamp prepared!

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.

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 analyze 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 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.

Statistics, Probability, Linear Algebra

Understand 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 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).

Generalization 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.

Managing Images and Text data

Get comfortable into managing high-dimensional variables and transforming them into manageable input. Learn classic preprocessing techniques for images like normalization, standardization and whitening. Apply the right type of encodings to prepare your text data for different NLP tasks (Natural Language Processing).

Neural Networks

Understand the architecture of neural networks (neurons, layers, stacks) and their parameters (activation functions, loss function, optimizer). Become autonomous to build your own networks like Convolutional Neural Networks (for images), Recurrent Neural Networks (for time-series) and Natural Language Processing networks (for text).

Deep Learning with Keras

Discover a new library called keras, which is a developer-friendly wrapper over tensorflow, a Deep Learning library created by Google. We'll teach you the fundamental techniques to build your first deep learning model with Keras.

Computer Vision

Go further into computer vision with Deep Learning building networks for object detection and recognition. Implement advanced techniques like data augmentation to augment your training set by computing image perturbations (random crops, intensity changes etc) in order to improve your model's generalization.

Machine Learning Pipeline

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.

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 to any front-end interface.

Student Projects

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.

Settimana tipo

Il nostro format part-time

Impara a programmare in 24 settimane, con un calendario e orario adattati alla tua agenda fitta di impegni.

09:00 AM 05:00 PM
06:30 PM 09:30 PM
Compiti a casa Guarda le lezioni per prepararti alla prossima sessione.
On-campus Programma in coppia con i tuoi compagni di classe con sfide di coding, aiutato dai nostri teacher.
On-campus Programma in coppia con i tuoi compagni di classe con sfide di coding, aiutato dai nostri teacher.
Compiti a casa Guarda le lezioni per prepararti alla prossima sessione.
On-campus Mettiti alla prova con sfide e progetti.

Consolida le tue nozioni con sessioni di live-code insieme agli insegnanti.
🏠Compiti a casa

Guarda le lezioni per prepararti alla prossima sessione.


Programma in coppia con i tuoi compagni di classe con sfide di coding, aiutato dai nostri teacher.

Un'esperienza unica

Un assaggio del nostro programma

Vivi un'esperienza unica ogni settimana.

Sessioni di programmazione a coppie nel campus
Sessioni di programmazione in coppia dal vivo

Incontra altri studenti e insegnanti tre volte a settimana per lavorare alle coding challenge. Impara a pensare e risolvere problemi come un software developer.

Conferenze online e Flashcards
Lezioni online e Flashcards

Segui le lezioni al tuo ritmo sulla nostra piattaforma online. Afferra i concetti principali e preparati per la prossima sessione di programmazione. Consolida le tue conoscenze quotidianamente usando le nostre Flashcard.

Eventi di noleggio e networking
Eventi di Hiring & Networking

Unisciti a noi per gli eventi settimanali con imprenditori e recruiter. Crea il tuo network nella dinamica scena del tech.

Community & Strumenti

Piattaforma di networking e apprendimento

Il nostro corso di Data Science è solo l'inizio del tuo cammino. Una volta diplomato, farai parte di una community tech globale e avrai accesso alla nostra piattaforma online per continuare a imparare e a crescere.

Slack icon Gruppi su Slack

Ottieni consigli da data scientist & data analyst professionisti e opportunità di lavoro esclusive da imprenditori e sviluppatori.

Classe online

Ottieni accesso alla nostra piattaforma di apprendimento online quando vuoi dopo il corso: troverai tutte le lezioni di data science, gli screencast, le challenge e le flashcard.

Community tech

Beneficia della nostra community globale di 7931 ex studenti che lavorano nel campo del data science, o come imprenditori, sviluppatori e product manager in tutto il mondo.

Icon tutorials Presenza globale

I nostri corsi hanno luogo in 39 città diverse in tutto il mondo: ovunque tu vada puoi contare sulla community di Le Wagon!

Comunità e strumenti per la vita
Career Services

Trova un lavoro nel campo del data science nelle migliori aziende tech

Una volta finito il corso, potrai beneficiare dei nostri servizi per la carriera. Ti metteremo in contatto con i migliori recruiter e gli ex studenti che lavorano nel settore.

microsoftwordCreated with Sketch. Career Playbook

Ottieni accesso a una guida completa su come dare il via alla tua carriera Data Science dopo il corso: migliora il tuo portfolio, trova il lavoro dei tuoi sogni, fai affidamento sulla nostra community di 7931 studenti.

myspaceCreated with Sketch. Career Events

Partecipa ai nostri eventi di networking e fiere del lavoro, incontra le migliori aziende tech e ricevi offerte di lavoro da recruiter in cerca di talenti in ruoli relativi al data science.

buymeacoffeeCreated with Sketch. Sessioni di Coaching

I nostri studenti del corso di data science amano condividere la loro esperienza dopo essersi diplomati: spiegano come hanno trovato lavoro come Data Scientist, Data Analyst o Data Engineer.

wechatCreated with Sketch. Career Intro

I nostri team locali conoscono i loro studenti e partner d'assunzione, cosa stanno facendo e cosa cercano. Ti presentano le persone adatte per raggiungere il tuo obiettivo.

I nostri studenti del corso di web development vengono assunti dalle migliori aziende.
Hiring Partners

Dove lavorano i nostri studenti nel campo del data science

Le migliori aziende collaborano con Le Wagon e assumono i nostri studenti come Data Scientist, Data Analyst o Data Engineer.

Frichti Ha assunto 1 studenti
Doctolib Ha assunto 9 studenti
Google Ha assunto 4 studenti
Getaround Ha assunto 6 studenti
Aircall Ha assunto 3 studenti
ContentSquare Ha assunto 1 studenti
Opzioni di finanziamento

Trova il piano di studi che fa per te

Scopri se hai diritto alle offerte speciali a Lisbon.

[Web Dev Full-time] Local's Scholarship

⚠️Eligibility: Resident in Portugal (>6 months)

We offer each scholarship recipient a €2000 discount on the total cost of Le Wagon’s 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.

[Web Dev Part-time & Full-time] Young Women in Tech Scholarship

⚠️Eligibility: • Resident in Portugal (>2 years) • Age 19 to 23 years old at the time of bootcamp

In an effort to increase the number of women in technology-related fields, we’re committing to help self-identifying young women pursue their dreams of becoming tech entrepreneurs, junior developers, and project managers.

Recipients of the scholarship cannot combine the scholarship with any other tuition reduction. All self-identifying women between the ages of 19 to 23 years old are applicable for the 50% reduction in tuition.

[Data Science Part-time & Full-time] Le Wagon Alumni Discount

Le Wagon Alumni receive a 20% discount on our Part-time and Full-time Data Science Bootcamp here in Lisbon.

[Data Science Part-time] Nova SBE Alumni Discount

Nova SBE undergraduate, masters and executive education alumni receive a 20% discount on our part-time Data Science Bootcamp @Nova SBE.

Puzzle Formação Tuition Loan
Puzzle Formação Tuition Loan

PUZZLE, BNI's Europa Credit brand, was born to expedite and revolutionize the way credit is granted in Portugal through a 100% online platform that aims to meet the needs of a new generation which it requires technology, speed, and flexibility.

Through PUZZLE, Portuguese nationals can receive financing on 90% of Le Wagon's bootcamp tuition for both the part-time and full-time programs.

Set up a call with our team to find out the next steps.

Vuoi andare oltre?

Il prossimo coding bootcamp di data science course part-time a Lisbon inizia il set 5, 2020