Data analysis course

What is the difference between a data analyst and a data scientist?

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.

What qualifications do I need to be a data analyst?

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.

How to register for the data analysis course?

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.

What is the format of the 5-month data analysis course? Can I choose distance live learning?

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.

What do you study to become a data analyst? What is the data analysis course syllabus?

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 spreadsheet 

• 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) 

• Machine learning

Download the complete training program.

What skills will I be able to use at the end of my course? What are the top 3 skills for a data analyst?

Three of the top skills for data analysts are:

• Democratize: transform raw data into relevant information, and present and interpret the data to answer a business question. An example may include a dashboard with graphs and KPIs to manage and measure an activity.
• Automate: automate recurring tasks such as data cleansing and collection. Process a large volume of data in an automated fashion. An example may include writing a Python script for data processing that is connected to a SQL database.
• Modeling: simplify data to retain the most important and relevant data, infer trends and projections, potentially use machine learning.

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...

What is the instructional method used by Wild Code School?

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.

Who are the instructors? Will I receive human support during my training?

During your 5 month data analyst training, you will interact with:

• An expert instructor who supervises all teaching related activities and provides support to all students in the course.
• A campus manager who assists with professional preparation and leads coaching activities.
• Other students who will support you and who you in turn will also support.
• Other professionals from the data analytics world who will be involved throughout the course to share their experience and provide additional guidance.

Does this course provide a certificate upon completion?

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.

How can I become a data analyst? How to find a job after the data analyst training?

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.

What is the job placement rate of your students in the data analysis program?

"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.

How much does a data analyst earn?

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.

What does the job of data analyst consist of? What is his role?

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.