Data Science
16 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
Measuring Data Science Outcomes
This training teaches data scientists and analytics managers how to measure and communicate the business impact of data science initiatives.
12 slides·24 min
Data Science Initiative Planning
This course helps data and business leaders plan a data science initiative, covering goal setting, scoping, and execution for successful outcomes.
14 slides·28 min
Data Science Workshop Facilitation
This training prepares facilitators to lead data science workshops, covering planning, delivery, and audience engagement for effective, hands-on learning.
13 slides·26 min
Documenting Data Science Decisions
This training teaches data scientists how to document decisions effectively, helping teams improve reproducibility, transparency, and collaboration across data science projects.
14 slides·28 min
Data Science Troubleshooting Essentials
This training helps data scientists and analysts diagnose and resolve common data science issues, building practical troubleshooting skills for real-world projects.
15 slides·30 min
Assessing Data Science Quality
This training teaches data scientists and analysts how to evaluate data science quality, covering key methods and metrics to assess models, data, and results.
14 slides·28 min
Data Science Maturity Models
A concise overview of data science maturity models for analytics professionals, explaining stages, assessment criteria, and how to evaluate and advance organizational data science capabilities.
14 slides·28 min
Ethics and Responsible Data Science Practice
This training helps data scientists and analysts apply ethical principles and responsible practices throughout the data science lifecycle.
13 slides·26 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