Lecture
Roles in the Data Ecosystem
Data analysis involves many professionals working together to turn raw information into meaningful insights.
Each role adds unique value, and understanding them helps you see where your own skills can contribute.
Who Does What?
- A Data Analyst focuses on cleaning, analyzing, and visualizing data to answer business questions.
- A Data Scientist builds predictive models and algorithms, often using machine learning techniques.
- A Data Engineer builds the infrastructure — like databases and pipelines — that make data usable for others.
Collaboration Is Key
Although the roles differ, they often work together:
- Analysts interpret data for teams.
- Scientists build models that need clean, reliable inputs.
- Engineers ensure that data flows smoothly and is stored correctly.
You might begin as an analyst and later expand into engineering or data science. The data ecosystem is flexible, offering many paths for growth and specialization.
Lessons in this chapter · Introduction to Data Analysis
- 1. Data Analysis with Python
- 2. Everyday Examples of Data Usage
- 3. Types of Data (Structured vs Unstructured)
- 4. The Data Analysis Workflow
- 5. The Data Analysis Pipeline
- 6. Multiple-choice quiz
- 7. Roles in the Data Ecosystem
- 8. Skills You Need to Become a Data Analyst
- 9. Responsible Data Use - Ethics and Privacy
- 10. How Data Influences Decisions
- 11. Fill-in-the-blank quiz
Quiz
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Which role in the data ecosystem is primarily responsible for building infrastructure, such as databases and pipelines?
Data Analyst
Data Scientist
Data Engineer
Data Manager
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