A curated selection of courses for aspiring data experts.
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Data Analyst Bootcamp – RNCP Certified Training with DATAROCKSTARS
This bootcamp trains professionals to leverage corporate data to optimize decision-making. The curriculum, which is 70% practical cases, teaches handling large data volumes with SQL and Python, creating impactful visualizations, and building interactive applications with Streamlit. Participants will also master web scraping, best practices for data project management via GitHub, and build a professional portfolio. RNCP Level 6 certification (equivalent to a bachelor’s degree) ensures immediate employability.
Duration: 400 hours
Teaching method: Online
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Target audience: Employed workers, job seekers, businesses, and students
Cost: €4,500, eligible for CPF funding
Learn more about this training
Business Data Analyst in Apprenticeship with DATASCIENTEST
This program aims to design and implement data-driven marketing strategies in businesses. The curriculum includes data marketing, growth hacking, tracking with Google Analytics 4 and Tag Manager, as well as major digital acquisition sources. Learners will also master business intelligence (Power BI, Looker Studio), programming with Python and SQL, big data, web scraping, and machine learning. You will manage data projects in an agile environment while developing skills in data governance and GDPR compliance.
Duration: 1 to 2 years
Teaching method: Online or apprenticeship
Target audience: Employed workers, job seekers, businesses, and students
Cost: Contact the organization, eligible for CPF funding
Get more information
Python Training – Basics + Data Deepening with Expert Python
By taking this course, you will learn to master Python from the fundamentals to advanced applications in data science. You will understand how to set up your working environment, manipulate data structures, manage files and SQL databases, as well as develop graphical interfaces and micro-applications. The data science segment will deepen your knowledge of essential libraries such as NumPy for matrix computation, Pandas for data manipulation, Matplotlib and Seaborn for visualization, SciPy for statistical analysis, and BeautifulSoup for web scraping.
Duration: 5 days
Teaching method: Online, on-site, or corporate
Target audience: Employed workers and businesses
Cost: €2,450, eligible for CPF funding
Request the program
Data Analyst – Certified Distance Learning (SQL, Python, Power BI…) with DataBird
This practice-based certified training will quickly make you operational as a data analyst. The curriculum follows the logical data pathway: data acculturation, basics and deep dives into SQL, introduction to Python with Pandas, analysis automation and cloud deployment, and data visualization with Power BI and DAX. You will also master Excel, BigQuery, and Looker Studio, and will be able to design a professional portfolio with a final project based on real data.
Duration: 12 to 24 weeks
Teaching method: Online
Target audience: Employed workers, job seekers, businesses, and students
Cost: €6,890, eligible for CPF funding
Get free information
Data Management and Business Analytics – Master of Science with EDHEC Business School – Online Programs
This 100% online Master of Science enables you to develop technical skills and strategic thinking to transform business decisions through data. The curriculum combines foundational courses on data and analytics, weekly virtual classes, and collaborative assignments. Upon completion, you will be proficient in data analysis, master artificial intelligence techniques, and understand how to leverage business intelligence opportunities to optimize decision-making.
Duration: 18 months
Teaching method: Online
Target audience: Employed workers, job seekers, and businesses
Cost: €23,450, not eligible for CPF funding
Learn more about this training
These offers are from the site Maformation (part of Hellowork, publisher of BDM).
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Jordan Park writes in-depth reviews and editorial opinion pieces for Touch Reviews. With a background in UI/UX design, Jordan offers a unique perspective on device usability and user experience across smartphones, tablets, and mobile software.