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.
Learn Data analytics in only nine weeks!
Learn Data analytics in only 24 weeks!
Select one of the formats above for specific course information. Otherwise, information about the Data analytics bootcamp (full-time) will be shown by default.
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!
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.
- 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.
In weeks four and five you’ll take a deeper look into the mathematics behind data analytics.
- 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!
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.
- 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.
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
DepositOur courses fill up fast. Secure your spot at Ironhack by making an advance deposit when you are accepted into the program. Deposit amount: 750€
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.
If you are accepted into one of our courses, you can benefit from a special student loan on behalf of our partner BNP Paribas. After negotiating a deal with this leading European bank, we have ensured that all Ironhack students in France can use this loan to finance their training – no matter your age or academic background.
If you are unemployed, Pôle emploi can help you find a job and provide financial aid for training. The AIF is limited to €2,000 and is not automatic, so you need approval from your counselor for this funding. The POEI requires you to find a company that is ready to hire you directly following the bootcamp. In this case, Pôle Emploi and the OPCO of the company can finance the total cost of the training.
If you are studying web development, the CPF (Compte Personnel de Formation) can finance a part of your bootcamp. This public funding mechanism for continuing education can finance a portion of your program if you have an account and have accumulated credit as an employee at the rate of 500€ per year worked). The aid can range from 200€ to 5000€.
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 3 installment plan, there are no additional charges. For the payment in 6 and 10 installments, the fees are 4.6% and 6.7% of the total balance applied to the first payment. To qualify, students must have a French bank account.
Support for your career change. Employees who want to change careers can request a Professional Transition Project (PTP), which can finance up to the total cost of the bootcamp. Any training that is eligible for CPF is also open to PTP (Web Development bootcamp at Ironhack).Prepare your request at least 3 months before the start of the course with the Transitions Pro of your region. Ironhack can complete the required paperwork for the school.
If you have recently lost your job as a result of an economic layoff, the Contract of Professional Security (CSP) can finance up to the total cost of the training. CSP is available for all Ironhack’s bootcamps, though you may need additional approval if the course is not yet certified by the RNCP.
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.
Eldiias is a lead teacher of the data analytics bootcamp at Ironhack Paris. He holds a MSc degree in quantitative economics from the Université Paris 1 Panthéon-Sorbonne. In recent years, he worked as a data-analytics expert on several projects, including “Improvement of Agricultural Productivity and Nutrition of Kyrgyz Republic” with M-Vector in Bishkek, Kyrgyz Republic. He has lead workshops on data management, data visualization and web scraping. His research interests include computer vision and natural-language processing applications for public services, such as for crime prevention, medicine and the environment.
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.
9:00Start 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.
9:30Lecture block 1
Your first block of lectures begins, where you’ll dive deep and learn some of the intricacies of !
11:30Data 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!
Take a well-earned break and recharge! Our campus is centrally located, so good eats are always easy to find.
14:00Lecture block 2
Afternoon lectures commence, continuing your development of even more skills and techniques.
16:00Data 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.
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.
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!
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