Data Analyst

Bootcamp (11 weeks)
Part Time (8,5 mois)

Get a recognized diploma, support until you are hired and a flexible job that is in high demand.

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Upcoming Dates
May, 06 2025
June, 04 2025
July, 01 2025
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Certified Courses

350 hours, including 80 hours of project

  • Python fundamentals
  • exploratory statistics
  • Data Quality

  • Matplotlib
  • Seaborn
  • Art of Storytelling
  • Plotly
  • Bokeh

  • SQL language
  • Data Integration

  • Power BI
  • Introduction to Business Intelligence
  • Make
  • Tableau
  • Looker Studio

  • Advanced SQL
  • Cloud Fundamentals
  • Snowflake
  • AWS CP

  • Text Mining
  • Web Scraping with BeautifulSoup and Selenium

  • Introduction to Models and Methodology
target

Encadré projet :Throughout the program, a capstone project done in groups will allow you to cover all the stages of developing a data solution.

target

Encadré certif :The Data Analyst program will provide you with the skills necessary to pass the Microsoft PL-900 exam: Microsoft Power Platform Fundamentals, in order to obtain the Microsoft Power Platform Fundamentals certification. The certification is awarded by taking an online exam on the Microsoft website.

METHODOLOGY

Hybrid learning format

Combining flexible learning on a platform and Masterclasses led by a Data Engineer. It's the combination that has won over more than 15,000 alumni, giving our courses a completion rate of +98%!

Our teaching method is based on learning by doing:

  • Practical application: All our training modules include online exercises so that you can apply the concepts developed in the course.
  • Masterclass: For each module, 1 or 2 Masterclasses are organised live with a trainer to address current issues in technologies, methods and tools in the field.
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Data analyst's goals

A Data Analyst processes data to extract insights that address specific challenges.
They use Business Intelligence tools to analyze the data and create dashboards to assist the organization in decision-making.

To Interpret

Interpret the results and create dashboards.

To value

Value the data, provide recommendations, and support decision-making.

To sort

Sort, clean, and process the data in order to analyze it.

Key figures of the training

95,6%
job

Success rate

93,05%
fusée

Completion rate

99%
personne

Satisfaction rate

Alumni feedback