Dates and tuition of our Data analysis course
More informations on financing options and scholarships in the top menu: About Us > FAQ > Financing
More informations on financing options and scholarships in the top menu: About Us > FAQ > Financing
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.
This course is open to all adults regardless of your expertise with data analytics. You should however be comfortable with Microsoft Excel or Google Sheets, and have a basic knowledge of mathematics. You will receive primers on any foundational areas that you may need to brush up on and supplementary training as required. With the expertise of our instructors we help you quickly learn the basics of machine learning, Python, SQL and other key technologies you will need to excel as a data analyst. Your professional project and motivation are two essential components that are evaluated during the application process.
Ready to start a new career adventure as a data analyst? The data analyst profession will continue to be one of the most in-demand jobs throughout the 2020s and beyond. We have the primary goal of helping you get your first job as a data analyst. Enroll in this course and join our other “Wilders” today, and enter the exciting and ever-changing world of data analytics. Choose between distance learning or on-campus depending on your needs.
This data analysis course is unique in that it is based on extensive practical experience along with being comprehensive and intensive throughout the 5 month full time program.
Wild Code School’s 5 month data analysis course can be completed full time and offers you the latest cutting-edge training in machine learning, SQL and Python to acquire a job. In 5 months you’ll learn all of the foundational knowledge that potential employers may require to serve in your first role as a data analyst. You will also participate in numerous scenarios to gain practical expertise. No prior experience is necessary to get started.
Our 5 month full time data analysis course is designed for every type of learner, expertise level and background. Even if you have no experience at all with data analytics, we will provide you with complete training that you can then utilize to land your first job. This program is suitable both for those looking to upskill in data analytics or change careers entirely. Even if you are not wanting to be a data analyst right now, you will be able to contribute at a high level to data analytics projects at your employer after taking this course. If you want to be a data analyst, this course gives you a full foundation in processing data using Python algorithms, querying a database, modeling and presenting data, using data science and Big Data platforms, creating dashboards and visualizations, manipulating interactive and dynamic dataviz and much more.
Not only do you receive theoretical training, you will also put it into practice extensively. Our cutting edge platform and structured projects allow you to extensively practice the skills in SQL, Python, and data viz that you will gain in this course. With this focus on practical application, you will quickly learn the basics of data analysis technologies and tools. You will be able to approach data processing techniques throughout every stage of the data life cycle, from collection, preparation, to exploitation and restitution. You will also gain a strong introduction into machine learning which is essential for any data analyst, and you’ll learn how to leverage tools like Tableau or Power BI for reporting and captivating visualizations.Download the syllabus
Throughout the course, you will receive the support of your full-time instructor. As you build your portfolio of projects, you will improve your resume and soft skills and stand out to recruiters once it comes time to look for a job. You will also be able to leverage our network of over 1,000 partner companies for job opportunities along with an extensive alumni network. We also teach you how to stay up to date with the latest changes in data analysis. You are provided with numerous opportunities to engage with companies with events like job datings, customer projects, datathons, digital consultations and more.
Exercises, tutorials and challenges on our Odyssey educational platform
The only lesson of the week, followed by a practical workshop
Resolve an algorithmic problem together as a group.
Led by the instructor to showcase development techniques.
Collaboration in groups of 3-4 students on a project for a real company
An external speaker shares his or her expertise with students.
Joint meeting to review the week and a demonstration of the week's progress by project teams
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Data analysts analyze data and extract insights to help guide the strategic decisions of a company and its growth.
The data analyst works directly with data extensively as a part of the profession and has three main goals:
Collect raw data
Structure the data
Transform the data into insightful visualizations
Data analysts have been increasingly sought after by companies because they allow them to manipulate their data with finesse and make smarter data driven decisions. Data analyst skills are among the most in demand, ahead of programming skills, and skills related to software design.
For more details about what data analysts do, check out our detailed job description.
Data scientists focus on future data and predictions by building deep learning algorithms to make prescriptive and predictive analyses. They can predict market trends, create image recognition systems, recommendation systems and more.
To become a data scientist several languages are required including R, Python and Scala as well as a strong mathematics background.
On the other hand, data analysts are not as concerned with future predictions or building deep learning algorithms from scratch but instead on gathering, cleaning, organizing, structuring and visualizing existing data for the purpose of developing data driven business insights.
For many types of entry level data analyst positions you only need a certification such as the one provided by Wild Code School along with some relevant experience, which our practical scenarios and projects provide you with.
This course is designed to be all inclusive for helping you obtain your first position as a data analyst.
You 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 take place on campus or remotely. 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.
Flexibility is important to many of our students. Therefore we have designed this course to be fully accessible either on-campus or via our remote format. If you choose the remote option, you will connect each morning to your class to meet the instructor and the other students in your class live. Most of the instructional activities of our training will be completed live in teams.
Our 5-month intensive and professionalizing data analyst training course covers 7 major aspects of data analysis:
Databases (basic, intermediate and advanced SQL)
Data sources (RESTful API, Geocoding, HTML Webscraping and Understanding the RGPD)
The Python programming language and algorithmics
Python libraries (Pandas and NumPy)
Data visualization (interactive maps like Folium and business intelligence tools such as Tableau software, MS Power BI)
Three of the top skills for data analysts are:
Which is why at the end of this 5-month data analysis course you will be able to:
Process data: using Python algorithms and object-oriented programming.
Collect data: perform a SQL database query, automate content collection using HTML scraping, understand RGPD issues, perform geocoding.
Model and present data: gain an understanding of data science, machine learning, and Big Data platforms, learn how to create dynamic data visualizations and manipulate them, create visualizations and dashboards with Tableau, Folium and PowerBI.
Improve your professional resume and portfolio, join our community of data analysts and alumni, improve your online presence, prepare for job interviews and job opportunities...
Our instructional method is designed to be innovative and provide you with plentiful practice. You will work with other students on real client projects with the help of your instructor. This helps you prepare for real world scenarios and stand out to recruiters at the end of the training when you begin looking for work.
We give you the keys to adapt to the rapidly evolving world of data analytics technologies. We are convinced the best way to learn is by doing, which is why you get so much hands on practice. The final project in the course is a real project with a real client.
During your 5 month data analyst training, you will interact with:
Yes, upon completing the data analysis course you will receive a certificate of completion which you can present to potential employers or add to your resume.
We assist you with finding a job throughout by working on three key areas throughout your 5-month training:
Expanding your professional network: we help you connect with more opportunities by simply meeting more people and companies. You’ll be involved with client projects, datathons, presentations by experts and more to help you branch out.
Improving your soft skills: you’ll learn how to work remotely more efficiently, better understand client needs, collaborate with your peers, and gain additional soft skills valued by recruiters.
Improvement of your resume and candidate profile: with coaching, individual meetings as needed, and involvement with workshops. Participate in mock interviews and get LinkedIn help to improve your profile and the strength of your candidacy.
"Will I find a job after my training?" That's a question everyone asks before upgrading their skills or starting a training program (and rightfully so!). At Wild Code School, our main goal is to train and support our students to ultimately achieve employment.
84% of our alumni are employed 1 year after graduation, 86% of them on permanent contracts. Learn more about the rate of employment of our Wilders, their fields of specialization, and the companies that trust us in our 2021 annual job placement report.
The gross annual salary of a junior data analyst in Europe varies from one country to another. It will be generally in the range of 35K€ to 45K€ in Germany or France and in the range of 25K€ to 35K€ in Spain or Portugal. This salary can easily double after 3-4 years of experience and as you prove yourself. You can easily check the average salary through the Glassdoor simulator.
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.
Become a top-notch product manager, learn to develop a product from A to Z using most up to date UX and UI design methodologies, web development languages and frameworks, analytical tools and a data-driven mindset infused with entrepreneurial spirit.