Data Science
8 courses·EN
Connect a data question with an analytical process, suitable methods, and an explanation of the result.
Use this overview to understand roles and workflow. Statistics, Data Engineering, and Machine Learning develop different parts of that process.
A route through the topic
Start with the introductory explanation below, then choose a focused lesson for the task or question you want to explore.
Courses in this topic
Data Science Fundamentals
An introductory course on data science fundamentals covering key concepts, tools, and workflows to build a foundation for analyzing and interpreting data effectively.
15 slides·30 min
Data Science Fundamentals and Applications
This course introduces data science concepts, its purpose, and real-world examples to help beginners understand how data drives decision-making.
14 slides·28 min
Data Science Process Essentials
This training introduces data science professionals to the end-to-end process, key roles, and deliverables across project stages, enabling learners to structure and manage data science projects effectively.
15 slides·30 min
Data Science Tools and Workflow Design
Learn to select the right data science tools and design efficient workflows. This training helps aspiring data scientists match tools to project needs.
14 slides·28 min
Data Science vs Machine Learning Roles and Methods
This training distinguishes data science from machine learning, covering their distinct roles, methodologies, and real-world use cases for professionals seeking clarity on the disciplines.
15 slides·30 min
Data Science vs Software Engineering Tradeoffs
This training clarifies the distinctions, tradeoffs, and use cases for data science versus software engineering roles, helping learners choose the right approach for their projects.
14 slides·28 min
Communicating Data Science to Stakeholders
Equip data professionals to present data science insights clearly and persuasively to non-technical stakeholders.
13 slides·26 min
Building a Data Science Portfolio
This training helps aspiring data scientists build a compelling portfolio that showcases their skills and projects to attract employers.
14 slides·28 min