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

    • Quests

      Exercises, tutorials and challenges on our Odyssey educational platform

    • Course

      The only lesson of the week, followed by a practical workshop

  • tuesday

    • Dojo

      Resolve an algorithmic problem together as a group.

    • Live Coding

      Led by the instructor to showcase development techniques.

  • wednesday

    • Clients projects

      Collaboration in groups of 3-4 students on a project for a real company

  • thursday

    • External speaker

      An external speaker shares his or her expertise with students.

  • friday

    • Retrospective

      Joint meeting to review the week and a demonstration of the week's progress by project teams

  • Our partners They support us

    Tuition & Dates

    More information on financing options and scholarships in the top menu: About Us > FAQ > Financing

    700h - 140h/month 5 months
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    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

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