GenAI for Data Analysis: Advanced Techniques
Master Generative AI tools to revolutionize your data analysis workflow. Learn advanced pattern recognition and predictive analytics techniques.
Master Generative AI tools to revolutionize your data analysis workflow. Learn advanced pattern recognition and predictive analytics techniques.
This comprehensive course explores the transformative potential of Generative AI in data analysis. Led by instructors Soheil Haddadi and Reza Moradinezha, the program teaches practical applications of GenAI tools for enhancing data analysis workflows. Through interactive demonstrations and hands-on exercises, participants learn to leverage AI for data preprocessing, pattern recognition, and predictive analytics. The course emphasizes both practical implementation and ethical considerations, making it ideal for data analysts seeking to modernize their analytical capabilities.
Instructors:
English
Powered by
What you'll learn
Apply GenAI tools for enhanced data preprocessing
Master pattern recognition using AI technologies
Generate advanced analytical insights with GenAI
Create automated data analysis reports
Implement ethical AI practices in data analysis
Skills you'll gain
This course includes:
40 Minutes PreRecorded video
1 assignment, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
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 applying Generative AI in data analysis workflows. Students learn to use cutting-edge AI tools for data processing, pattern recognition, and insight generation. The curriculum covers practical applications using various platforms including ChatGPT, Coefficient, and Crux Copilot. Special emphasis is placed on ethical considerations and responsible AI implementation in data analysis practices.
GenAI for Data Analyst
Module 1 · 2 Hours to complete
Fee Structure
Instructors
Global Leaders in Professional & Technology Education
For decades, we at Starweaver have partnered with hundreds of the world’s leading organizations and reached millions of learners, delivering unparalleled professional education. Our global team of over 750 practitioners, instructional designers, producers, program managers and creative experts from six continents brings real-world experience and academic rigor to every program, ensuring learners build skills that are hands-on and practical while founded in intellectual and academic rigor. With unmatched expertise and a dynamic ability to inspire, our team is committed to shaping the future of work and equipping learners to thrive in today’s rapidly changing business and technology ecosystem.
Data Scientist and AI & ML Research Scientist, Coursera Instructor Network
Soheil Haddadi and Reza Moradinezhad are data scientists and AI researchers known for making advanced machine learning and large language models accessible for business and practical use. They teach "Fine-tuning Language Models for Business Tasks," focusing on customizing generative AI, LLMs, and trustworthy, human-centered interaction for business innovation. Their courses present practical strategies for fine-tuning AI models, fostering responsible AI adoption and impactful business solutions in diverse industries.
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.