Full-time (9 weeks)

In 9 intensive weeks in Buenos Aires, learn Data Science from Python to advanced Machine Learning, get all the skills to join a Data Science team and boost your career.

Apply now
In 9 intensive weeks, learn Data Science from Python to advanced Machine Learning at Le Wagon.
Course details Apply now

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

Join a unique course

Our full-time Data Science in Buenos Aires course 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.

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

Our Data Science course curriculum

Our course is designed to make you learn Data Science step by step, starting with the basic data toolkit in Python and Mathematics to the complete implementation and deployment cycle of Machine Learning algorithms.

  • 0
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9

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.

Neural Networks

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.

Computer Vision

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.

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 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 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.

A typical day at Le Wagon Buenos Aires

From morning lectures to evening talks, every day 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
Yoga16:00 - 17:00

Learning to code is very intense, so it’s important to take a break and relax during our yoga classes.

Live code
Recap17:00 - 18:00

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

Talks & Workshops
Events18:00 - 20:00

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

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.

Pablo Gonzalez Day
Pablo Gonzalez Day

Pablo has +10 years of experience in design. After 5 years of working in the public sector as a web designer, he has recently joined MURAL to accelerate online visual collaboration. On his free time, he creates content for IBtech (YouTube channel).

more about Pablo

Network and learning platform

Our 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 9320 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 40 campuses all over the world: wherever you go, you belong to the Le Wagon community!

Community and tools for life

Find a data job in the best tech companies in Buenos Aires

Once the course ends, you benefit from our career services. We help you meet with the best recruiters and connect with relevant alumni.

microsoftwordCreated with Sketch. Career Playbook

Access a complete guide to kick-start your Data Science career after the course: boost your portfolio, find your dream job, leverage on our 9320 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 fresh graduates: they explain how they found their job as Data Scientist, Data Analyst or Data Engineer.

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

Where our alumni work in data in Buenos Aires

The best companies partner with Le Wagon and hire our alumni as Data Scientist, Data Analyst or Data Engineer.

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

Find the right financing option for you

Find out if you are eligible for special offers in Buenos Aires.

Prepayment discount

Get a 20% discount if you pay the full amount before the Bootcamp starts! (Discounts are not cumulative).

Up to 3 installments in ARS (pesos argentinos) without any interest

You can choose to pay the bootcamp in up to 3 installments in ARS (pesos argentinos) without any interest, directly with us.

Up to 12 installments in USD without any interest

You can choose to pay the bootcamp in up to 12 installments without any interest, directly with us.

Locals
Locals

20% discount for people living in Argentina.

Discount supported by Founders Institute Buenos Aires.

Discounts and installments options are non-cumulative.

Vacancies per batch: 5

Early Bird

Get a 5% discount if you are approved in the selection process (interview + 10-hour online course & payment of first installment) at least 2 months before bootcamp starts (Discounts are not cumulative).

Want to go further?

Next Buenos Aires Data Science course full-time coding bootcamp starts on Jan 18, 2021