Data analyst

Data analyst training: become a data analyst in 5 months and learn data analysis tools.

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Training sum up
Syllabus
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Typical week
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Training Sum up

Working as a data analyst

A data analyst analyses a company's data and extracts useful information to help it progress. They source and model data, clean the database, create new indicators, add value to the data and often present the data graphically to make it more understandable. Data analyst skills are among the most in-demand, just before programming skills, and software design skills, according to the LinkedIn 2017 study conducted for the Guidance and Employment Council.

Prerequisites

No diploma is required to access this training. You must be of age and have certain technical prerequisites: it is a matter of being comfortable using computer tools in general, spreadsheets in particular (Microsoft Excel or Google Sheets), validating basic knowledge of programming, mathematics and statistics. In addition, a strong motivation and a solid professional project are priority selection criteria.

Duration

The course prepares students in 5 months for the data analyst career path, allowing them to acquire a complete data culture and to be operational in the analysis and use of data processing tools.

Syllabus Detailed

This intensive, hands-on, training programme is designed to help anyone, regardless of their experience and background, acquire the hard and soft skills needed to begin or enhance your career as a Data Analyst.

Throughout the 5 months programme the curriculum includes learning tools - particularly statistics and programming in SQL and Python - to address data processing techniques for all stages of the data life cycle: collection, preparation (cleaning and quality improvement), exploitation, restitution.

Here are some elements from the curriculum:

Statistics: descriptive, exploratory, inferential...
Programming: Python (Numpy, Pandas), R...
Database: SQL, NoSQL …
Web : analytics, API, Web scraping, Flask …
Business Intelligence (BI): Tableau Software, Power BI, Qlickview...
Big Data / Artificial Intelligence (AI): Machine learning, Deep learning
Dataviz : Matplotlib, Seaborn, Bokeh …

You’ll also create your portfolio to showcase your work and most importantly, you will learn how to stay ahead of new technologies.

As part of this Bootcamp, you will also receive employability coaching and support in finding job opportunities, and be a forever member in our #Wild community.

Download the syllabus

Our team With care

Gala Leibar Remote learning manager

Pierre Mur Data Analyst Trainer

Typical week

monday

09:00 (UTC+2)
Last week review & quizz

It's time to review the concepts discussed last week and ask questions.
13:30 (UTC+2)
Presentation of the week & courses

Let's introduce the new concepts of the week.
15:00 (UTC+2)
Autonomous work

At the most convenient moment for you after 3pm, you carry out your 2 hours of daily work in order to work on your projects or any other assignement given by the instructor.

tuesday

09:00 (UTC+2)
Dojo

Resolve an algorithmic problem together as a group.
13:30 (UTC+2)
Live Coding

Led by the instructor to showcase development techniques.
15:00 (UTC+2)
Individual meeting with the trainer

Each week, this individual meeting will allow to customize your learning path and remove obstacles.

wednesday

09:00 (UTC+2)
Client-project and instructor coaching

You collaborate with a group of 3-4 students on a project for a real client and benefit from the trainer's technical advice.
13:30 (UTC+2)
Guest speakers

Learn from the experience of tech professionals across Europe.
15:00 (UTC+2)
Monthly individual meeting with the campus manager

The campus manager helps you to develop your soft-skills and coach you to find a job.

thursday

09:00 (UTC+2)
Dojo

Resolve an algorithmic problem together as a group.
13:30 (UTC+2)
Live coding

Led by the instructor to showcase development techniques.
15:00 (UTC+2)
Autonomous work

At the most convenient moment for you after 3pm, you carry out your 2 hours of daily work in order to work on your projects or any other assignement given by the instructor.

friday

09:00 (UTC+2)
Client-project demo

Each week you present to your class and with your group the client-project's updates of the week.
13:30 (UTC+2)
Workshop

Let's practice the notions covered during live courses.
15:00 (UTC+2)
Autonomous work

At the most convenient moment for you after 3pm, you carry out your 2 hours of daily work in order to work on your projects or any other assignement given by the instructor.

Our students & alumni Their stories

News

How We Organized a Remote Job Fair - 144 Interviews in 2 Days!

Wilders Community

Rita "I wanted to use data to make better decisions and help companies implement data-driven strategies"

Our partners They support us

Tuition & Dates

11 Sep 2020 - 12 Feb 2021 700 heures - 140h/month 5 months

save 10%

~~6500 €~~ 5850 € until 11 September 2020

Financing options are available!

5 partial scholarships of 1 000€ available for Southern Europe residents (residents for more than 6 months in Spain, Portugal, Italy, Greece or Malta).
3 partial scholarships of 2 000€ available for Eastern Europe residents (residents for more than 6 months in Bulgaria, Croatia, Cyprus, Czech Republic,Estonia, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia or Slovenia).

To apply for a scholarship you first have to complete our application process and be admitted to our school. Reach out the campus manager for more information.

Apply now