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GenAI for Business Intelligence Analysts

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GenAI for Business Intelligence Analysts

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Gain insight into a topic and learn the fundamentals.
4.5

14 reviews

Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.5

14 reviews

Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify specific scenarios where GenAI can be applied in BI tasks such as data exploration, analysis and visualization.

  • Assessing the impact of GenAI on actual BI operations to identify efficiency improvements, cost reductions and enhanced insights.

  • Addressing Bias and Equity; Delve into the issue of bias within GenAI models and its impact on data analysis and decision making.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignmentsΒΉ

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Data Visualization Primer: Tools & Techniques Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

Welcome to the transformative world of Generative AI for Business Intelligence Analysts. This course will equip you with the knowledge and practical skills to leverage Generative AI (GenAI) in your daily workflows, enhancing your data-driven decision-making abilities. Through interactive discussions, video tutorials, and hands-on activities, you will learn how to streamline data exploration, elevate data visualization techniques, automate routine tasks, and unveil hidden insights within complex datasets.

This course is ideal for team leaders and managers aiming to leverage GenAI to enhance efficiency and innovation, Business Intelligence Analysts seeking to refine their skills and streamline workflows, and career transitioners aspiring to break into the BI field with advanced, sought-after GenAI knowledge. Learners should have a basic understanding of data exploration and analysis principles, including familiarity with data types, basic statistics, and data visualization methods. Proficiency in using data manipulation tools like spreadsheets is advantageous. Upon completion of this course, learners will have the knowledge to unleash the transformative power of GenAI, ushering in a new era of efficiency, productivity and data driven insights in their roles as BI Analysts.

This course is designed to empower learners with the necessary knowledge and skills to harness this innovative technology and enhance their data driven decision making abilities. Learners will dive into the world of GenAI, exploring its functionalities and learning practical strategies for seamless integration into their daily workflows.

What's included

6 videos5 readings2 assignments

6 videosβ€’Total 35 minutes
  • Introduction to GenAI for Business Intelligence Analystsβ€’5 minutes
  • History & Background For GenAI and Business Intelligence Analystsβ€’11 minutes
  • Demo for Analysis of Competitor Data Using Claude 2β€’8 minutes
  • Remediating Risks and Ethical Concernsβ€’3 minutes
  • Demo for Market Trend Identification with Claude 2β€’7 minutes
  • Closing Thoughts: What’s Nextβ€’1 minute
5 readingsβ€’Total 45 minutes
  • Our Roadmap & Resources Available: How to Get Startedβ€’5 minutes
  • Glossary for GenAI and Business Intelligence Analystβ€’10 minutes
  • Demo for Ad-hoc Reporting with GPT- 4oβ€’10 minutes
  • Demo for Pattern Recognition with Claude.aiβ€’10 minutes
  • Demo for Report Summarization with Geminiβ€’10 minutes
2 assignmentsβ€’Total 65 minutes
  • Practice Project for Business Intelligence Analysts(AI graded)β€’45 minutes
  • BI Analysts: Unleashing Business Insights with GenAIβ€’20 minutes

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Instructors

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10 Coursesβ€’34,257 learners

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,

ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.