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.
SKILLS
Learn Data Analytics at Ironhack Paris
Join our Data Analytics bootcamp and get the hands-on skills you need to land a job in the growing tech industry and be part of any company's workforce as a Data Analyst
9 weeks full time or 24 weeks part time
PYTHON
SQL
TABLEAU
STATISTICS
AND MORE!
Our Courses
09 Jan - 10 Mar
English
Online
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Mon to Fri, 9:00 - 18:00 (undefined)
7500,00 €
Final Call!
Career Week - 13 Mar
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16 Jan - 24 Mar
20 Feb - 28 Apr
27 Mar - 02 Jun
03 Apr - 02 Jun
19 Jun - 18 Aug
All our courses include
Career Services program
We help you identify your ideal outcome, and reach it as fast as possible.
Multiple payment options
Different options available to make the tuition not a blocker to start your new career.
Course Information
Your path to a new career in data
Online Prework
Module 1
Module 2
Module 3
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!
Want to learn more about Ironhack and our Data analytics bootcamp in Paris before applying?
Career Services
Careerhack: Ironhack's Career Services
A Proven Methodology
Careerhack is Ironhack's Career Services program. It's designed to help Ironhackers identify their ideal outcome, and reach it as fast as possible. We've helped thousands of students land their dream job in tech. Discover how we will help you!
Our students work at companies like:
Our financing options at Ironhack
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.
Pôle emploi
Available for unemployed candidates. Pôle Emploi helps in finding a job and providing financial aid for training. The AIF is not automatic, approval from your counselor for this funding is needed.
OPCO (Opérateurs de Compétence)
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.
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.
Professional Transition
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.
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.
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€
Application process for the Data analytics courses in Paris
Apply online
Apply to the Data analytics course that is best for you.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.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.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.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
Kseniia has 10+ years of experience in data analytics/data science/business analytics. Strong background in economic modeling, ML techniques for data analysis and forecasting. Experienced in project management and data management automation. Professional Scrum Product Owner. Educator and researcher. Data-driven decision-making advocate.
Jean-Marc is a Data Scientist with extensive experience in Natural Language Processing and Real-Time Bidding. He also has been teaching Data Analytics & Data Science for a few years now, to more than 100 students from diverse backgrounds. Over the years, he has participated in organizing several Data Science competitions.
A typical day at Ironhack Paris
In the course-data-analytics-campus part-time course, you will study on weekdays from 6:30 p.m. to 9:30 p.m. (either Monday and Wednesday or Tuesday and Thursday, depending on the campus and cohort) and on Saturdays from 10 a.m. to 5 p.m. The schedule may be subject to changes depending on the chosen campus.
9:00
Start your day energizedPour 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 1Your first block of lectures begins, where you’ll dive deep and learn some of the intricacies of Data Analytics!
11:30
Data lab 1Apply 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
LunchTake a well-earned break and recharge! Our campus is centrally located, so good eats are always easy to find.
14:00
Lecture block 2Afternoon lectures commence, continuing your development of even more skills and techniques.
16:00
Data lab 2Time 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 eventsOnce 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.
18:30
Daily lessons and standupYour first weekday of the part-time course will begin with two lectures, each lasting about fifty minutes, with a break in between each one.
20:30
Individual projectIndividually apply what you learned during the lectures to a new project laid out in a brief by your teachers.
18:30
Daily lessons and standupYour second weekday of the part-time course starts off with two lectures, each lasting around fifty minutes and featuring a break in between the sessions.
20:30
Individual data projectApply what you learned during the lectures to new projects guided by your teachers.
10:00
Daily standup and lecture block 1Following your usual standup, Saturday starts off with two fifty-minute lectures with a break in between them.
12:00
Hands-on learningApply what you learned during the morning to your individual data project and additional case studies.
13:00
LunchTime to eat, rest and recharge those batteries! Our campus is located in the heart of the city, so you’ll find excellent lunch options in any direction. Feel free to bring food from home, too.
14:00
Lecture block 2Right after lunch, you’ll learn even more theory with some excellent lectures delivered by your lead instructor.
17:00
Show and tellAs each Saturday comes to a close, you’ll have the opportunity to apply everything you’ve learned and review the development of your individual data project.
Why should you study Data analytics in Paris
Projects built by students
How to win FIFA19 using data
Álvaro Fragoso, data analyticsIs your electricity consumption 20–20–20?
Ingrid Munné, data analytics20% 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!
What sets Paris apart?
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