Hoping to start a career in tech in 2022? Don’t miss out on our last bootcamps of the year.

Apply now!
Loading...

Learn Data analytics at Ironhack Paris

Join our Data Analytics immersive bootcamp and get the hands-on skills you need to land a job in the growing tech industry. Learn Python, SQL, Tableau, Statistics, and much more. 9 weeks full time or 24 weeks part time, in person or hybrid format. Download the syllabus, meet our teachers and check our financing options. See all the information here!

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.

Applications are accepted up to two weeks before the training start day. After this period, registration may be granted to you on an exceptional basis and subject to availability. Admission to training is subject to having successfully completed the various selection stages and within the limit of available places (30 people maximum).

Data analytics bootcamp (Full-time)

Learn Data analytics in only nine weeks!

9 weeks8.000 €Mon to 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 analytics bootcamp in Paris before applying?
Download syllabus

Upcoming Data analytics cohorts in Paris

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

We currently don't offer this course in this location. Check out other locations or courses!

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€

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.

Contract of Professional Security (CSP)

This financing option is available for people who lost their job due to a lay off. It fully funds the program and it’s available for all Ironhack’s bootcamps, though you may need additional approval if the course is not yet certified by the RNCP.

Get more information
Pôle emploi

Available for unemployed candidates. Pôle Emploi helps in finding a job and providing financial aid for training. The AIF is limited to €2,000 and is not automatic, approval from your counselor for this funding is needed.

Get more information
OPCO (Opérateurs de Compétence)

Funding with no cap available for active employees. Subsidies are awarded on a sliding scale depending on each specific situation and typically range between €2,000 and €6,000.

Get more information
Pledg
In partnership with Pledg, our students can pay in 3, 6, or 10 monthly installments, whether it be for our full-time or part-time bootcamps. The net tuition, after payment of the deposit and any third-party financing, can be divided into monthly automatic payments via bank card on the Pledg platform. For the payment in 3, 6 and 10 installments, the fees are 1.5%, 4.6% and 6.7% of the total balance applied to the first payment.
Get more information
BNP Paribas

Exclusive student loan from 760€ to 75,000€ with a global fixed annual interest rate of 0.98% over a period of 4 to 96 months. Repayments are deferred for the first year, and there is no fee for an early payoff of the loan. 80€ welcome offer for new clients and a no-fee account for the first two years.

Get more information
Professional Transition

Employees who want to change careers can request a Professional Transition Project (PTP), which can finance up to the total cost of the bootcamp.

Get more information
AGEFICE or FIF PL

This financing option is available for freelancers and entrepreneurs. AGEFICE can partially finance your professional training, and FIF PL is best for independent workers.  

Get more information
CPF (Compte personnel de formation)

Available for the Web Development program. The public funding CPF can finance a part of your program if you have an account and have accumulated credit (500€ per year worked). The aide ranges from 200€ to 5000€

Get more information
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.

Application process for the Data analytics courses in Paris

01

Apply online

Apply to the Data analytics course that is best for you.
02

Personal interview - IN ENGLISH

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

Technical assessment - IN ENGLISH

After the personal interview, you will need to pass a Data analytics 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 Data analytics program, and you must complete it before starting the course in Paris.
05

The course begins

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

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 Data Analytics!

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.

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.

Projects built by students

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

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.

More Questions?

We are committed to helping you start your career in tech. Our financing options range from traditional loans to pay-for-success models so you can choose the option that best fits your needs. Simply get in touch with our admissions team and they will give you more information about the available options.

Get in touch with our Admissions team