Microsoft via Coursera Learning path or series

Generative AI for Data Scientists

Overview

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.

Courses in this learning path or series 3

Generative AI for Data Science with Copilot
Data Preparation and Evaluation with Copilot
Data Analysis, Visualization, and Communication with Copilot

Advantages and disadvantages

Advantages

Structured courses with graded quizzes, assignments and deadlines you can reset.
A shareable certificate from the university or company when you pay.
Financial aid is often approved for students in India (apply 15 days before you need it).
From Microsoft, a well-regarded name.
Self-paced: start any time.
A clear syllabus (3 parts) you can see before you start.

Disadvantages

Paid after a 7-day free trial (Coursera Plus or per course).
Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Microsoft is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).