Introduction to Data Analytics in Google Cloud

This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles. Complete this activity and earn a badge! Boost your cloud career by showing the world the skills you’ve developed.

What you'll learn ✔️Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists ✔️Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub and Watson Studio ✔️Develop the mindset to work like a data scientist, and follow a methodology to tackle different types of data science problems ✔️Write SQL statements and query Cloud databases using Python from Jupyter notebooks Advance your subject-matter expertise ✔️Learn in-demand skills from university and industry experts ✔️Master a subject or tool with hands-on projects ✔️Develop a deep understanding of key concepts ✔️Earn a career certificate from IBM

Discover a range of tools to help you build AI-powered apps with Azure AI Services, develop generative AI solutions with Azure OpenAI Services, and explore chatbots and AI models with Microsoft Copilot Studio through this Microsoft Learn Official Collection.