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Learn Data analytics in Paris

Become a data analyst at Ironhack Paris in nine weeks (full-time) or 24 weeks (part-time).

Data analytics bootcamp (Full-time)

Our course formats

Develop the skills you need to launch a fulfilling career in Data analytics with our 24-week part-time course or our fulltime nine-week bootcamp.

Data analytics bootcamp (Full-time)

Learn Data analytics in only nine weeks!

9 weeks8.000 €Mon-Fri9:00 - 18:00
Selected format
Data analytics Part-time course

Learn Data analytics in only 24 weeks!

24 weeks8.000 €Mon-Wed 18:30 - 21:30Sat. 10:00 - 17:00
Find out more

Select one of the formats above for specific course information. Otherwise, information about the Data analytics bootcamp (full-time) will be shown by default.

What you will learn during the Data analytics bootcamp in Paris

Prework

During your first 60 hours as an official Ironhack Data Analytics student you will be laying the foundation for success in Paris. During the prework phase you will:

1. learn the fundamentals of command line, Git, Python, MySQL and statistical analysis

2. familiarize yourself with the basics of programming and statistics and

3. connect with your peers and expert academic staff by utilizing our Slack channel.

Once you’ve completed the prep materials and synced up with your class, you’ll be ready to dive into the course!

Module 1: Introduction to and Python

The first two weeks will introduce you and your classmates to the world of data analytics. Then you will establish your development environment for the classroom as you settle into our tight-knit data community.

Topics include:

- Introductions to data wrangling/cleaning.

- APIs and web scraping.

- Intermediate levels of Git, SQL and Python.

Week three calls for your first project as an apprentice data analyst! Apply your new Python skills by conducting data analysis with real datasets.

Module 2: Advanced Data Analytics

In weeks four and five you’ll take a deeper look into the mathematics behind data analytics.

Topics include:

- Utilizing Python to understand inferential statistics and probability.

- Incorporating Python into the fundamentals of business intelligence.

- Learning story-telling techniques in order to visualize your data and insights in presentations.

Week six will mark the start of your second project: a complete data analysis. This will be constructed from data that you will have processed, cleaned and visualized from real datasets!

Module 3: Get a handle on the fundamentals of machine learning

The final module will introduce you to the fundamentals of machine learning in weeks seven and eight. We’ll start things off by teaching you to understand the machine workflow, and the lessons will only expand from there.

Topics include:

- Both supervised and unsupervised learning.

- The essentials of popular machine learning algorithms.

- Building, training and evaluating models with the Scikit-Learn machine learning library.

For the last week of this module and course, you will face your final and most challenging task: building an end-to-end machine learning project. You will need to process a dataset, extract features, train a model, and use that model to make predictions on new data. When your project is complete, you will compete alongside your fellow students in our Hackshow.

Want to learn more about Ironhack and our data bootcamp in Paris before applying?
Download syllabus

Why should you study Data analytics in Paris

Booming companies and jobsParis is undergoing a massive tech transformation that in many ways is being led by the acceleration of its AI ecosystem. Google and Facebook are even taking notice and have recently opened AI research centers in Paris. This boom has brought along a surge in technical positions, with data analysts ranking as the 9th most in-demand tech role in France.
Expansive data researchA multitude of organizations in Paris focus on data’s effects on business and culture. Among them is the DATAIA Institute, which is zeroing in on the convergence of data analytics, artificial intelligence and society, and how big data technologies and artificial intelligence can be made to truly serve humanity’s greatest needs.
Intersectional data eventsEqually as numerous as its organizations and startups, Paris is home to many data-driven events. Perhaps one of the best being DataXDay, a data-focused conference that gives developers the means to share their ideas regarding data processing, streaming, data analytics, dataOps and security. And as if that wasn’t enough, Big Data World Paris will host over 6000 attendees and 250 speakers all converging to discuss Big Data and AI.

Upcoming Data analytics cohorts in Paris

Here are the upcoming dates for our bootcamps in Paris. Reserve your spot today!

Dates
Schedule
Career Week
?
The Career Week happens for every cohort on week 10. During this week we guide students through the whole job-hunting process: from networking to personal and technical interviews, pitching, negotiating offers etc.
Price
Status
Don’t see any suitable dates? Check our part-time courses!
Covid-19 update

To ensure the safety of our students and staff, we have migrated all ongoing and upcoming classes to a remote learning environment. Learn more about Our response to COVID-19

Deposit

Our courses fill up fast. Secure your spot at Ironhack by making an advance deposit when you are accepted into the program. Deposit amount: 750€

Application process for the Data analytics courses in Paris

01

Apply online

Apply to the course that is best for you.
02

Personal interview

Our admissions team at Ironhack will contact you to schedule a personal interview and make sure that we can help you meet your goals in .
03

Technical assessment

After the personal interview, you will need to pass a technical assessment to show that you are ready for our fast-paced learning environment.
04

Deposit and prework

Once you have completed the technical assessment and paid the deposit, you will be granted access to the prework. The prework is fundamental to the program, and you must complete it before starting the course in .
05

The course begins

Once you have completed the prework for at Ironhack , you will be ready to begin learning!

Our financing options at Ironhack Paris

Do you need help with the payment? Our financing options help you find the support you need so you can focus on your career and developing new skills.

BNP Paribas

We have ensured that all Ironhack students in France can use this loan from BNP Paribas to finance their training. Regardless of your age or academic background, you can apply for a €7,500 student loan with a global fixed annual interest rate of 1.50% over five years.

OPCO (Opérateurs de Compétence)

If you are already employed, OPCOs can work with your employer to help finance your training. Subsidies are awarded on a sliding scale depending on your specific situation and typically range between €2,000 and €6,000.

Pôle emploi

If you are unemployed, the French governmental agency Pôle emploi can help you find a job and provide financial aid for training. They will help you apply for an AIF (Individual Training Assistance) or a POEI (Operational Preparation for Individual Employment). Pôle emploi may even help you finance the entire bootcamp!

Want more information? 

Visit our Financing page
Ironhack Women Scholarship
Scholarship for women

The tech community suffers from a gender gap, which is why we are proud to promote women in tech with an upfront scholarship of 10% off for any of our Web Development and Data Analytics courses.

What sets Paris apart?

For centuries, Paris has been perhaps the largest European center for the arts, science, fashion and finance. Renowned for its numerous museums and architectural landmarks, the City of Lights was the second most visited city in the world in 2019.
More than a lifetime’s worth of experiences await you just beyond the doors of our campus. Take a walk and visit the Musée du Louvre, Paris’ innumerable municipal parks and gardens, or one of its many patisseries and Michelin-star restaurants.
At Ironhack we believe the wonders of Paris speak for themselves – there’s almost no reason not to come start your future here.

Data analytics Instructors at Ironhack Paris

Course Information

A typical day at Ironhack Paris

In the course-data-analytics-campus bootcamp you will study from 9 a.m. to 6 p.m., Monday through Friday. The schedule may be subject to changes depending on the chosen campus.

Monday to Friday

9:00

Start your day energized

Pour yourself some coffee to get your day going, as class begins with a review of yesterday’s exercises. You’ll also learn to manage a healthy workflow by incorporating the key strategies of Agile and Kanban.

9:30

Lecture block 1

Your first block of lectures begins, where you’ll dive deep and learn some of the intricacies of !

11:30

Data lab 1

Apply the concepts you’ve learned in the previous lecture to a new tutorial or challenge. Time to roll up your sleeves and code!

13:00

Lunch

Take a well-earned break and recharge! Our campus is centrally located, so good eats are always easy to find.

14:00

Lecture block 2

Afternoon lectures commence, continuing your development of even more skills and techniques.

16:00

Data lab 2

Time to solve a project by yourself! This will be a hands-on exercise calling for you to apply your knowledge in real-world practice.

18:00

After-course events

Once the day’s coursework has ended, explore and find innumerable opportunities to meet and network with other data professionals. Meetups, networking sessions and workshops are just down the street, or you can stick around campus to catch up on classwork.

Projects built by students

Is your electricity consumption 20–20–20?
Is your electricity consumption 20–20–20?

20% increase of energy efficiency, 20% decrease in CO2 emissions, and 20% of energy production from renewable sources, all by 2020: a challenging goal to meet. Ingrid was inspired to analyze Spain’s electricity consumption in order to determine whether or not we are on the path toward a more sustainable rate of electricity consumption. She found some particularly interesting patterns that we are following as users!

Ingrid Munné, data analytics
More Questions?

Send us an email

paris@ironhack.com