This comprehensive course offers an introduction to the vital roles within the data landscape. Starting with a brief overview of the data ecosystem, participants will learn about the entire data lifecycle—from collection to visualization—and how different professionals contribute at each stage. In-depth explanations of key roles such as Data Architect, Data Engineer, Data Analyst, Data Scientist, BI Specialist, and Database Administrator (DBA) will follow, detailing each role’s primary responsibilities, necessary skills, and potential career paths.

Participants will also receive guidance on the required soft skills, educational background, certifications, and resources that can help them succeed in these roles. In the final part of the course, participants will engage in a hands-on theoretical workshop. They will select a data role to explore and simulate tasks related to that role, offering an immersive experience that mirrors the decision-making processes and challenges professionals face in the field.

This course is perfect for anyone looking to understand the wide array of opportunities in the data world and develop a clearer sense of where they might fit within it.

Part 1: Introduction to Data & AI Careers 

Why Data Matters

• Explore how data impacts daily life, from Netflix recommendations to healthcare advancements.

Diverse Applications of Data and AI

• Discuss the variety of industries where data and AI professionals thrive: healthcare, finance, tech, retail, etc.

Introduction to Key Data Roles:

Get to know the people behind the data magic:

• Data Architect
• Data Engineer
• Data Analyst
• Data Scientist
• BI Specialist
• Database Administrator (DBA)

Part 2: Essential skills 

Core Competencies for Success

• Lean the necessary skills (e.g., coding, data visualization, analysis) for both technical and non-technical positions.
• Explore the aligned soft skills with the different roles (e.g., critical thinking, attention to detail, communication).

Part 3: Career Paths, Roles, and Growth in Data & AI 

ESCO Skills Framework

• Learn about the ESCO framework to understand competencies and skills across data roles.

Career Path Exploration

• Examine entry-level, mid-level, and senior-level roles.
• Career growth opportunities and pathways in different industries.

Part 4: Charting Your Path to a Data Career 

• No Tech Background? No Problem!

Learn how anyone can start a career in data or AI.

• Education and Certifications

Part 5: Hands-On Workshop – Step into the Shoes of a Data Pro 

• Define your career goals, outline your pathway, and identify skills you need to succeed.
• Group discussions to share insights, foster collaboration, and refine individual roadmaps.

Part 6: Q&A and Closing Thoughts 

• Ask Away: A friendly session to ask any questions about roles, skills, or breaking into the field.

Upon completion of the course, learners will be able to: 

• Understand the Data Ecosystem: Gain a clear understanding of the data lifecycle, from data collection to visualization, and the role of data in driving business decisions across industries.
• Differentiate Key Data Roles: Identify and distinguish between major data roles such as Data Architect, Data Engineer, Data Analyst, Data Scientist, BI Specialist, and DBA, understanding their responsibilities and how they fit into the data ecosystem.
• Explore Career Paths: Understand the educational background, certifications, and skills required for each data role, including practical steps for career development in the data field.
• Engage in Theoretical Simulations: Participate in a hands-on workshop where they will simulate the tasks and decision-making processes of a selected data role, gaining insight into the real-world challenges and responsibilities faced by data professionals.
• Prepare for Future Learning: Leave the course with recommended resources, learning paths, and strategies for building a portfolio and gaining practical experience in their chosen data career.

Theory and workshops