GenAI in Data Analytics
Learn to leverage generative AI in data analytics, improving processes and data quality for better business insights.
Learn to leverage generative AI in data analytics, improving processes and data quality for better business insights.
This course introduces generative AI and its applications in data analytics. Students will learn the fundamentals of GenAI, its business applications, and how to integrate it into data analytics workflows. The curriculum covers GenAI technologies, their impact on data quality and predictive analytics, and addresses concerns surrounding AI usage. Through case studies and hands-on activities, learners will gain practical skills in applying GenAI to streamline data analytics processes and enhance data-driven decision-making.
Instructors:
English
Deutsch, پښتو, Português (Brasil), 12 more
Powered by
What you'll learn
Understand the fundamentals of generative AI and its functions
Explore different GenAI technologies and their applications in business
Learn how to integrate GenAI into data analytics workflows
Discover ways to improve data quality and generation using GenAI
Understand the role of GenAI in enhancing predictive analytics
Navigate concerns and ethical considerations surrounding AI usage
Skills you'll gain
This course includes:
1.71 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
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.
There is 1 module in this course
This course provides a comprehensive introduction to generative AI and its applications in data analytics. Students will learn about different GenAI technologies and their potential impact on various business scenarios. The curriculum covers the integration of GenAI into data analytics workflows, focusing on how it can improve data quality, streamline processes, and enhance predictive analytics. Learners will explore case studies demonstrating real-world applications of GenAI in data analytics and gain hands-on experience through practical activities. The course also addresses concerns surrounding AI usage and emphasizes responsible AI practices. By the end of the course, students will be equipped with the knowledge and skills to effectively incorporate GenAI tools into their data analytics projects, improving efficiency and decision-making capabilities.
Generative AI in Data Analytics
Module 1 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
CEO & Co-Founder Aptly, Adj. Professor, UCLA Anderson School of Management
Anke is the CEO and Co-Founder of Aptly, an online education production company. Anke founded and led the School of Business at Udacity, where she developed their business focused programs and grew the school to over 17K paying students. Anke is also an Adjunct Professor of Marketing at UCLA Anderson School of Management. Previously Anke led the Market Research Team at Yahoo! and founded Jump-Time (now OpenX).
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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.