JOB SEARCH READINESS TOOLKIT
- Learn how to boost your portfolio with great freelance jobs and show off your skills on your CV, Portfolio, and LinkedIn.
- Get expert feedback on your work in group sessions to help you polish your portfolio.
- Prepare for job interviews with tips from professionals, practice with peers, and learn how to stay calm under pressure.
EMPLOYMENT SUPPORT PACKAGE
- Join bi-weekly sessions with a career strategist to stay on track and get personalized feedback on your CV and LinkedIn.
- Gain access to exclusive job offers through our partner network, helping you find the right opportunities.
- Receive ongoing employment support, including 1:1 consultations, until you land your job.
Data Collection, Preparation & Analysis Basics
1 / Real-World Simulation
Experience training that closely mirrors actual data projects, preparing you for the realities of a tech career.
Sharpen your data skills through intensive, practical projects that challenge you to apply what you learn in real-time.
3 / Job Search Readiness Toolkit
Master the art of CV crafting. Learn how to enhance your online presence and create a professional portfolio that demonstrates your capabilities and project experience.
Develop the skills to excel in interviews, from technical questions to behavioral responses.
5 / Personalized Consultancy
Receive tailored advice and strategies from career experts dedicated to your job search success.
Benefit from continuous support and guidance as you navigate
the job market.
Secure your first job in the field of data with our commitment to your employment success and accessing our extensive partners’ network.
8 / Kickstart Your New Career with Confidence
The Extensive Career Transition Program
With comprehensive training, expert guidance, and dedicated support, step into the tech industry prepared and assured.
- Introduction to data and analytics concepts, analytical thinking and problem-solving, identifying business questions and data needs, collecting and accessing data from different sources, preparing, cleaning and validating datasets, organizing data for exploration and reporting, fundamentals of data analysis, introduction to statistical thinking, ethical use of data and professional responsibility, data privacy, protection and security principles.
- Java basics, Git, Confluence, IntelliJ IDEA, PostgreSQL, RESTful services, Java Collections, memory management, JPA, database operations, testing methodologies.
- Collect, prepare and analyze data using basic tools (SQL, spreadsheets) while ensuring data quality and reliability.
- Apply analytical thinking to support business decisions, following ethical principles and GDPR data protection requirements.
- Create clear, effective data visualizations and apply statistical methods (in Excel, Tableau, R) to support evidence-based decisions.
- Carry out end-to-end data analysis projects, using R programming and AI-enhanced tools to solve real business problems and present actionable insights.
- Data visualization principles and storytelling with data, Tableau and Excel for effective dashboards and statistical analysis, descriptive statistics and key statistical methods (regression, t-test, chi-square), practical statistical problem-solving with real business cases, R programming Fundamentals, documenting and sharing reproducible analysis in R, the full analytics cycle from data preparation to business decision-making, using AI and advanced tools to enhance analysis and insights.
Applied Data Analysis & Visualization
- Defining a real-world business problem, collecting and describing relevant datasets, applying the full data analysis lifecycle (preparation, modeling, analysis, visualization), ensuring data protection and ethical use throughout the project, presenting results and recommendations clearly to stakeholders.
- Apply the complete data analytics process to a practical case, from problem definition to actionable insights.
- Deliver and present a professional analytics project that demonstrates technical skills, business understanding, and compliance with ethical and data protection principles.