Data analyst

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

Training Sum up

data_analyst.png

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.

Icône pour le paragraphe sur les prérequis à la formation

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.

Icône pour le paragraphe sur la durée de la formation

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

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 program elements:

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

Typical week

  • monday

    • Last week review & quizz

      It's time to review the concepts discussed last week and ask questions.

    • Presentation of the week & courses

      Let's introduce the new concepts of the week.

    • 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

    • Dojo

      Resolve an algorithmic problem together as a group.

    • Live Coding

      Led by the instructor to showcase development techniques.

    • Individual meeting with the trainer

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

  • wednesday

    • 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.

    • Guest speakers

      Learn from the experience of tech professionals across Europe.

    • 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

    • Dojo

      Resolve an algorithmic problem together as a group.

    • Live coding

      Led by the instructor to showcase development techniques.

    • 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

    • Client-project demo

      Each week you present to your class and with your group the client-project's updates of the week.

    • Workshop

      Let's practice the notions covered during live courses.

    • 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 partners They support us

    Tuition & Dates

    700 heures - 140h/month 5 months
    save 10%

    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.

    How to apply in 3 steps. Application Process

    Online Registration illustration"

    1) Online Registration

    Choose the training course you would like to join and register online

    Motivational Interview illustration

    2) Motivational Interview

    Friendly conversation with a Campus manager to check your motivation, see if Wild Code School is a good fit for you and answer your questions

    Tech Interview illustration

    3) Tech Interview

    Tech challenge presentation and discussion with an Instructor to assess your potential to become a tech specialist

    Our training courses Explore

    Web developer - Full-time

    5 months in Remote 700 h Full-time
    • #JS
    • #PHP
    • #Java/EE
    Discover more