Generative AI for Data Scientists

Microsoft via Coursera Specialization

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Overview

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According to a 2023 Gartner study, 67% of mature organizations are creating new roles fo GenAI and 87% of these organizations have a dedicated AI team. Copilot for Data Science is tailored to help existing and aspiring data scientists prepare for these roles, through a robust specialization designed to integrate Generative AI (GenAI) into everyday data science practices. This program provides a strategic advantage by delving into how GenAI can transform data tasks such as preparation, cleaning, analysis, and visualization. By mastering these advanced techniques, you'll be able to enhance data quality, create synthetic datasets, and automate complex processes—ultimately driving more accurate and actionable insights. Copilot for Data Science is more than just a learning resource; it's a gateway to leveraging GenAI for tangible improvements in your work. It prepares you to tackle data security issues, streamline workflows, and communicate insights effectively to diverse audiences. Whether you're an executive aiming to steer your organization’s AI strategy, a team lead optimizing your team's performance, or an individual contributor seeking to boost productivity, this specialization will equip you to harness the power of AI and excel in the ever-evolving data landscape. No prerequisites are required. Ready to transform your data science capabilities with the power of Generative AI? Enroll today and start your journey to mastering AI-driven data science.

Syllabus

Course 1: Generative AI for Data Science with Copilot
Course 2: Data Preparation and Evaluation with Copilot
Course 3: Data Analysis, Visualization, and Communication with Copilot

Courses

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This course prepares you to use Microsoft Copilot for data analysis, visualization, and insight communication tasks. Designed for data analysts, business analysts, and data professionals who need to go beyond raw data and turn it into clear, compelling findings for stakeholders — no prior AI or coding experience required — this course helps you build practical, AI-assisted workflows for analysis and storytelling. Whether you're looking to automate chart creation, generate forecasts, or communicate findings more effectively across technical and non-technical audiences, you'll learn how to leverage Copilot's generative AI and natural language capabilities to move from data to decisions faster and with greater confidence. By the end of this course, you will be able to: Use Copilot to analyze datasets, generate forecasts, and extract actionable insights that support business decision-making Build customized data visualizations and interactive dashboards using Copilot's automated chart and graph generation features Evaluate AI-generated visualizations for effectiveness, clarity, and accessibility to ensure outputs serve diverse audiences Produce audience-specific reports and presentations using Copilot, adapting tone and style for both technical and non-technical stakeholders Who should take this course: This course is best suited for learners who regularly work with data and need to present findings to others — such as data analysts, business analysts, operations managers, and junior data scientists. It builds naturally on Course 1 (Data Preparation and Evaluation with Copilot), though prior completion is not required. Basic familiarity with spreadsheets or tabular data is helpful; no programming background is needed. Prerequisites: Basic familiarity with spreadsheets or tabular data (e.g., rows, columns, filters) No programming or coding experience required No prior AI or machine learning knowledge required Access to Microsoft Copilot Required Course Materials: A Copilot license is required to complete this course. If you don't have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.
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This course prepares you to use Microsoft Copilot for data preparation and evaluation tasks. Designed for data analysts, business analysts, and data professionals who regularly work with spreadsheets and datasets — no prior AI or coding experience required — this course helps you build practical, prompt-based workflows for everyday data tasks. Whether you're new to generative AI tools or looking to formalize how you use Copilot in your role, you'll learn how to leverage Copilot's generative AI and natural language processing capabilities to streamline your workflow, ensure data quality, and generate valuable insights, ultimately making you a more efficient and effective data professional. By the end of this course, you will be able to: - Use Copilot's natural language prompts to clean, structure, and prepare raw data for analysis - Apply Copilot's generative AI features to identify data quality issues and inconsistencies - Generate actionable insights from datasets using Copilot's evaluation capabilities - Streamline routine data preparation tasks to save time and reduce manual effort Who should take this course: This course is best suited for learners who already handle data as part of their role (e.g., data analysts, business/ops analysts, junior data scientists) and want to add AI-assisted workflows to their toolkit. Basic familiarity with spreadsheets or tabular data is helpful; no programming background is needed. Prerequisites: - Basic familiarity with spreadsheets or tabular data (e.g., rows, columns, filters) - No programming or coding experience required - No prior AI or machine learning knowledge required - Access to Microsoft Copilot Required Course Materials: A Copilot license is required to complete this course. If you don't have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.
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This course prepares you to apply Microsoft Copilot to core generative AI use cases in data science, from model building and data augmentation to risk management and responsible AI practices. Designed for data scientists, ML practitioners, and technically oriented data professionals who want to go beyond prompt-based workflows and understand how generative AI actually works — and how to use it responsibly — this course bridges foundational GenAI concepts with practical, Copilot-powered implementation. Whether you're new to generative AI or looking to formalize how it fits into your data science pipeline, you'll build both the theoretical grounding and hands-on skills needed to integrate Copilot into sophisticated, real-world workflows. By the end of this course, you will be able to: Explain core generative AI concepts — including GANs, VAEs, and Transformers — and describe how Microsoft Copilot applies them to data science tasks such as code generation, data analysis, and bias mitigation Use Copilot to perform practical data science tasks, including generating code snippets, augmenting datasets, and implementing generative models Design and evaluate generative models tailored to specific data science tasks, comparing performance against traditional methods Identify data security and privacy risks in generative AI workflows and develop responsible AI strategies to mitigate bias, protect sensitive data, and prevent misinformation Who should take this course: This course is best suited for data scientists, ML engineers, and technically proficient data professionals who want to incorporate generative AI into advanced data science workflows. Familiarity with data science concepts and experience working with datasets is recommended. This course builds on the skills introduced in Courses 1 and 2, though prior completion is not required. Prerequisites: Familiarity with data science concepts and working with datasets Basic understanding of machine learning is helpful but not required No prior generative AI or Copilot knowledge required Access to Microsoft Copilot Required Course Materials: A Copilot license is required to complete this course. If you don't have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.