Ready for a Data Analyst bootcamp? Over three months and full-time we help you become the data analyst the market needs. Learn SQL, Python, machine learning and perform projects in practical scenarios and master tools like Power BI and Tableau leveraging your professional success. Improve your technical skills while our team of career specialists helps you develop your soft skills.
More informations on financing options and scholarships in the top menu: About Us > FAQ > Financing
The "early bird" discounts are valid only on the self-financed part of the course, on the dates mentioned in the frame, and only if the amount is paid before the course starts
We provide an efficient and flexible training schedule and a variety of payment options to meet your needs. Pay upfront with a 5% or 10% discount, or choose 3 installments. Personal loans are available to cover our tuition through our third-party lending partners. Payment methods vary from country to another. Reach out to our local team to learn more about the financing options available to you.
All students are welcome at Wild Code School for this Data Analyst Bootcamp as long as they are comfortable with Microsoft Excel or Google Sheets and have a basic knowledge of maths and statistics. The only restriction? Be of legal age (18 years old) and be able to speak and understand English!
We have created this Data Analyst bootcamp so our students have an intense and immersive experience in data analysis, learning and practice how to apply SQL, Phyton and machine learning in projects tailored from today's job market.
In the application process you will go through three phases , in which we evaluate your professional project and motivation - the two essential components to be a future Wilder.
Are you ready to start a new professional adventure as a data analyst?
Data analytics is the process that extracts, transforms, organizes and models data in order to extract information and communicate it to stakeholders. It requires knowledge of computer science (mostly Python programming), communication and visualization skills, and mathematics and statistics - which are taught during the Data Analyst Bootcamp. By processing the data it is possible to evaluate a situation and/or to make predictions by developing Machine Learning software.
Thus, the function of a Data Analyst is to use code and no-code tools in order to analyze existing data, model it and extract whatever information is useful and pertinent to the growth of the company and the decision making.
In this sense, Data Analytics is one of the best tools to support decision making in different areas of business, making Data Analysts one of the most sought after professions at the moment.
The Data Analyst Bootcamp was designed to fulfill the needs of today's job market. Believing in "learning by doing" methodology, you can expect an intense and immersive learning experience that through the realization of projects will prepare you for the reality of the job market in just three months, without the need for prior professional experience.
Trust on our instructors and community to help you improve your technical skills and you will learn SQL, Python and machine learning in an easy way. By the end you'll have a solid and complete foundation in data processing using the Phyton algorithm, data modelling and presentation, using Big Data platforms and much more.
But not everything you'll learn in Data Analyst Bootcamp is technical. At Wild Code School we have a specialized team that will follow you from the very first moment to help you improve your soft skills and prepare you for interviews and the job market.
At the end of the three months you will have your portfolio built, your interpersonal skills developed and a team that will help you to get your first opportunity.
Download the brochureAt Wild Code School we believe that the more you practice, the better prepared you will be for the challenges that may arise. Therefore we complemented our theoretical training in data analytics with a strong hands-on practical component based on real scenarios to ensure that you are able to be a successful data analyst.
Our innovative platform and structured projects allow you to learn technologies like SQL, Python and machine learning in an accessible and engaging way. By the end of this course you will be able to approach data processing techniques through all stages of the data lifecycle and leverage tools like Tableau or Power BI to report and attract visualizations.
During this three-month data analyst bootcamp you will have the help of our full-time instructors to guide you to success. All the projects developed in classes become part of your portfolio so you can demonstrate your skills to recruiters.
Throughout the course you will also learn how to improve your CV, enhance your interpersonal skills and how to proceed in recruitments with our interview simulations.
As part of the Wilder community, our Career Support team has a network of over 1,000 partner companies and an extensive alumni network to lead you through your first work experience in technology. You'll receive numerous opportunities to meet companies at events such as job fairs, client projects, datathons, digital consultations and more.
Download BrochureExercises, tutorials and challenges on our Odyssey educational platform. Wilders are always helping each other!
The only lesson of the week, followed by a practical workshop.
Resolve an algorithmic problem together as a group with the mentoring of the instructor.
Led by the instructor to showcase development techniques.
In very small groups, according to the needs, dedicated moments to come back on points of difficulties.
Collaboration in groups of 3-4 students on a professional project.
Autonomous work on your projects or on any other exercise given by the instructor. This is also the perfect time to deepen your knowledge, or catch up on your quests.
Let's practice the notions covered during live courses.
In very small groups, according to the needs, dedicated moments to come back on points of difficulties.
Collaboration in groups of 3-4 students on a professional project. At the end of the week, it is time to finalize your "sprint" and show to your peers and instructor the progress your group has made on the current project.
This is the time to review the week's teamwork and capitalize on the group's strengths and weaknesses to plan the next week's work.
Need advice on the program that best suits you? Want to talk about your career transition plan? Share your contact information and a member of our team will call you back asap!
I want to be called backYou must complete our 3-step application process to register for our training course:
Registration on our website: you will have to fill in a form and choose the course and the campus of your choice. Our training courses can be taken either online, in hybrid or on our campus in Lisbon. If you want to join a remote training course, you just have to select the "Remote" campus in the language of your choice.
Motivational interview: you will discuss your professional project and your motivation to join Wild Code School with an admissions manager.
Technical interview: you will present your tech challenge (an exercise to be completed after the motivational interview) and discuss with an instructor whether you have the potential to become a tech specialist.
The application process can be completed in 1 week and registrations are open until 7 days before the start of the course.
Data Analyst is a profession open to all profiles. Wild Code School now welcomes 25% women.
The jobs in the digital sector may involve staggered working hours, which may at first seem like a constraint, but which can also be a great advantage with very flexible working hours, in which remote work is possible.
A woman alone or with children can therefore adapt her schedule according to her needs. Knowing how to code also allows women to be more creative, to benefit from a booming sector and to launch an entrepreneurial project more easily.
The number of students depends on the capacity of each campus. We guarantee a maximum of 20 students for 1 trainer, which allows us to offer individual support during the training and job research later on.
Absolutely, during the application process, we ask our future students to take on some exercises remotely using our Odyssey teaching platform.
We provide all of the resources and offer the help you need to succeed, even if you are a beginner. You can also seek help from Wilders already in training and Alumni in our chat group.
This gives you the opportunity to ensure that the digital sector is suited to you, in the best possible conditions and free of charge!
Every year, people from all backgrounds, some knowing nothing about computer programming, become developers or data analysts at Wild Code School.
The only requirement for acceptance to the school is that you meet the minimum local age requirements and complete the application process.
The admission process takes into account both the personal journey, the desire to succeed, creativity in finding solutions to problems, and the ability to work as part of a team.
At Wild Code School, we believe that the best qualities for student success are real skills and motivation.
This is the required set-up for your own computer:
- Minimum processor Intel i5 (4 years or less)
- Minimum Ram 8 Go
- SSD 120 Go
- Operating System. Minimum: Windows 10, Ubuntu 18.04 LTS or MacOS 10.14 Mojave
You can also bring additional personal devices (mouse, keyboard...)
Wild Code School allows each of its students to acquire knowledge and develop their skills, just like in a traditional training organization or school.
What differentiates Wild Code School is the way students approach different concepts. The training is based on the mastery of skills, not on the amount of time spent on each concept.
The school provides students with tools and pedagogy to guide them towards autonomy, responsibility and commitment to their professional success, so that they can continue to learn and improve throughout their careers.
The number of students depends on the capacity of each campus. We guarantee a maximum of 20 students for 1 trainer, which allows us to offer individual support during the training and job research later on.
No. In the full-time program, you must devote 100% of your energy to learn the skills needed for your new job. You should attend class from Monday to Friday from 9am to 6pm. Most students tend to stay later to work on their projects. It is therefore not possible to work full-time in parallel.
During the pandemic, many companies had to change their work organization to enable their employees to work remotely. The majority of them have now adopted hybrid work models, allowing their employees to split their time between remote working from home, and coming in to the workplace.
To respond to this new reality, we have decided that our full-time bootcamps will be in a hybrid format on our Lisbon Campus, which means that students have the flexibility to choose how they want to learn. They have the option to come to the campus for in-person learning some days and to work from home the rest of the week. They can also choose to be fully remote.
This hybrid training approach allows students to learn programming while also taking into account their personal circumstances. It provides students living far from the campus a better work-life balance by eliminating the need for long commutes, and allowing them to save valuable time and resources on transportation.
We understand that hybrid learning can be challenging and we provide students with a range of resources and support to ensure they have a positive and successful learning experience. We are using online platforms and tools to facilitate interaction and collaboration between students and instructors, and to provide access to course materials and assignments.
We believe that this hybrid training approach is beneficial for students and help them to learn how to work efficiently remotely, which will be an important skill for their future career.
This Data Analyst training is taught in English. In order to attend this course, students must have a good level and understanding of English.
Our trainers are experienced professional developers who possess a deep understanding of the job market and a passion for teaching programming to our students.
Our teachers are present full-time in our schools. Their role with students is to provide support and guidance, rather than bring a knowledge holder. They supervise students throughout their projects and act as lead developers for clients.
Of course! You will benefit from professional coaching during and after your training to learn how to position yourself on the job market and land your first job in the tech sector. Our teams host CV workshops, job dates to meet recruiters, mock interviews, and we regularly share job offers from our network of over 1,000 partner companies throughout Europe.
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Become a data specialist: data analyst, data scientist, data visualization or business intelligence analyst. Learn Python, SQL, Machine Learning, Power BI, Tableau, and much more.
