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Introduction to Generative AI for Data Analysis
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CERTIFICATE

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Introduction to Generative AI for Data Analysis

This course is part of Microsoft Generative AI for Data Analysis Certificate.

Course Cost

Free course

Intermediate

Skill Level

15 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Microsoft Generative AI for Data Analysis Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.3

4,612 Enrolled

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4.3

4,612 Enrolled

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English

What you'll learn

  • Define generative AI and its applications in data analysis workflows

  • Integrate AI tools like Microsoft Copilot into data exploration processes

  • Apply prompt engineering techniques to improve AI-generated insights

  • Identify and address data inconsistencies using generative AI

  • Evaluate ethical considerations when implementing AI for data analysis

  • Craft effective prompts using frameworks like RACE and PARE

  • Transform and clean datasets more efficiently with AI assistance

Skills you'll gain

Generative AI
Data Analysis
Prompt Engineering
Microsoft Copilot
Data Exploration
Data Cleaning
Ethical AI
Power BI
Microsoft Fabric

This course includes:

17 Hours PreRecorded video

29 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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Certificate

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 modules in this course

This comprehensive course provides a foundational understanding of generative AI and its applications in data analysis. Students learn to leverage key tools and platforms like Microsoft Copilot, Power BI, and Microsoft Fabric to enhance their data workflows. The curriculum covers essential topics including data exploration, data cleaning, and prompt engineering techniques specifically tailored for analysts. Through hands-on projects and practical exercises, learners develop skills to craft effective prompts, evaluate AI-generated insights, and address ethical considerations in AI implementation. By the end of the course, participants will be able to integrate generative AI tools into existing data analysis workflows, improving efficiency and uncovering deeper insights from their data.

Introduction to Generative AI

Module 1 · 3 Hours to complete

Data exploration with GenAI

Module 2 · 3 Hours to complete

Data cleaning with GenAI

Module 3 · 3 Hours to complete

Prompt Engineering Fundamentals

Module 4 · 3 Hours to complete

Ethical and Safe Use of GenAI

Module 5 · 3 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Microsoft Generative AI for Data Analysis Certificate

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Introduction to Generative AI for Data Analysis

Intermediate

Skill Level

15 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.