Data Analyst

Part-time (7 month)

State-recognised, certified training, support right up to the point of hiring, and a job that's highly sought-after on the job market.

OUR NEXT ENTRIES ARE:

Inter-company Cohorts

October 01, 2024

November 05, 2024

December 03, 2024

Intra-company Cohorts

January 14th 2025

May 13th 2025

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Training content (205 hours total)

Sprint 1 Introduction to Python (45h)

Python fundamentals
NumPy
Pandas

Sprint 2 Data Visualisation (20h)

Matplotlib
Seaborn
Art of Storytelling

Sprint 3 Machine Learning (35h)

Scikit-Learn
Supervised learning
Unsupervised learning

Sprint 4 Analysis of data (25h)

Dimension reduction
Clustering

Sprint 5 Data mining and management (25h)

Text Mining
Webscraping

Sprint 6 Business Intelligence (30h)

Power BI
Tableau

Sprint 7 Big Data/Database (25h)

PySpark
SQL

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Throughout the course, a core project carried out in groups will enable you to tackle all the stages involved in developing a data solution.

The Data Analyst course will give you the skills you need to pass the Microsoft PL-900 exam: Fundamentals of Microsoft Power Platform, with a view to obtaining Microsoft Power Platform Fundamentals certification. Certification is obtained by passing an online exam on the Microsoft site.

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 goals

A Data Analyst processes data in order to extract information that can be used to respond to specific challenges. He/she uses Business Intelligence tools to analyse data and create dashboards to help the organisation make decisions.