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Download our Data Analytics course syllabus


How to apply to our Data Analytics bootcamp

Our admission process is beginner-friendly and will give you a taste of our course. Start now!

1

No technical prerequisites

The data analytics bootcamp is beginner-friendly, with no prerequisites required. What counts for us is that you’re motivated to start your new Tech journey.
2

Book an interview with our advisor

When you apply, we'll get back to you to schedule a 30 minute video interview. We'll talk about your professional project and your motivation.
3

Pass our quiz

You will take a quiz to assess your logic, curiosity and learning capacity in Le Wagon courses.
4

Payment options & prepwork

The last step will consist of finding the most suitable financing option for you. Then, you'll jump into the prepwork which consists of a 40h training.

Upcoming Data Analytics Sessions

Join the next batch of our Data Analytics Bootcamp to start your journey into tech!

Cape Town
Part-time - 27 weeks

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Data Analytics
calendar
Feb 22 - Jul 26

Cape Town
Full- Time - 9 weeks

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Data Analytics
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May 19- Jul 18

Master the fundamental skills of a Data Analyst in just a few weeks

Check Data Analytics Toolkits

Master the fundamental tools of programmatic data-analysts: Python as a backbone, SQL for queries and Jupyter Notebooks for visualization.

icon-python Python sql-svgrepo-com SQL icon-jupyter-notebook Jupyter icon-matplotlib Matplotlib
Check Decision Science

Leverage statistics to build advanced analyses and take well-informed business decisions: statistical inferences, hypothesis testing, multivariate regression and confidence intervals.

icon-pandas Pandas icon-numpy-4440fe24384bdad1b96fca0ce86b3aea8b4b0bd061798c05a81ca84c53a5df80 Numpy icon-statsmodels-fdf678fda1a8acbef710809810fefa09e70b2327b6bb9c39af2c5413733d2495 Statsmodels
Check Machine Learning & Deep Learning

Master Machine Learning and Deep Learning workflows including data preparation, model selection, evaluation, and fine-tuning. Delve into the mathematical concepts and numerical implementations behind models, with a special focus on understanding and utilizing transformers, a cornerstone in modern AI.

icon-scikit-learn Scikit-Learn icon-tensorflow Tensorflow icon-google-compute-engine Google Compute icon-hugging-face Hugging Face
Check ML Engineering & Team Projects

Package your models into replicable Python code for training on big data in the cloud. The project phase combines team-based development of an original project with AI classes on generative coding, ethical AI, explainable AI, and CI/CD best practices.

icon-git Git icon-docker Docker icon-mlflow MLflow icon-fastapi FastAPI chatgpt-icon ChatGPT


See what our graduates do now

florian-langer carl-logo Allan Holmes
  • Senior Growth Manager
marie-macnee Adesso-SE-Logo Marie Macnee
  • Data Scientist
Cyril Aubry logo n26 Cyril Aubry
  • Data Analyst
charlotte-de-belay nestle-logo Charlotte de Belay
  • Data Analyst

Do you have questions? These answers might help!

Once the Data Science course ends, you will benefit from our career services. Our team will help you prepare for tech interviews, meet the best local recruiters and connect with relevant alumni. You will also have access to a complete guide to kick-start your tech career after the course: boost your portfolio, prepare for technical interviews, leverage on our 10,000 alumni community, but also to lots of useful Slack channels to find jobs or freelance opportunities.

We will make sure to introduce you to the right people depending on your goal and you will meet with inspiring alumni who will come back to share their post-bootcamp experiences, like how they found a job, started their own company or freelancing career.

These are some career services we will provide:
  • Networking events, job fairs, career workshops and office hours with alumni or tech recruiters
  • Coaching sessions with our Talent Manager or local alumni
  • Resources our Career Playbook
  • Introductions to our network of hiring partners through our Hiring Newsletter
  • Career week with practical workshops (from building a portfolio to inspiring talks)

Le Wagon offers many and funding options and payment plans that may suit your situation. To check your options, please contact our Admissions team - they are happy to help!

The Data Science & AI course requires some basic knowledge of programming and mathematics.

How much programming do I need to know? Well, you must be comfortable with data types & variables, conditions, loops, functions and data structures like arrays and dictionaries (also called hashes in some programming languages). If you know those topics in other languages than Python (like Ruby, JavaScript, C++, etc.), you have the right programming prerequisites!

How much mathematics do I need to know? In order to join our Data Science course, you also need a minimum level in Mathematics and to be familiar with concepts covered in high school's scientific section. We need you to be comfortable with functions, their derivatives & systems of linear equations. To get up to speed, some additional preparation work will be given to you before the bootcamp start to get a refresh of all these concepts as well as more advanced knowledge on linear algebra and statistics.

After our training, you can launch your tech career in a few months. According to the results of an employability study conducted on Le Wagon Alumni during the second half of 2021, 93% of alumni found a job offer, launched their freelance activity or created their own startup within 6 months after their training. That’s an average of 47 days to find your next opportunity!

Our Data Science course is taught in English. Feel free to contact our Admissions team to determine if your English skills are sufficient for the course.
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