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Generative AI
Enhance your Data Analytics Career
Dr. Pooja,
Abhishek Gagneja,
and
Rav Ahuja
Dr. Pooja,
Abhishek Gagneja,
and
Rav Ahuja
This comprehensive course unravels the potential of generative AI in data analytics. The course will provide an in-depth knowledge of the fundamental concepts, models, tools, and generative AI applications regarding the data analytics landscape.
Read more
This comprehensive course unravels the potential of generative AI in data analytics. The course will provide an in-depth knowledge of the fundamental concepts, models, tools, and generative AI applications regarding the data analytics landscape.
Read more
This comprehensive course unravels the potential of generative AI in data analytics. The course will provide an in-depth knowledge of the fundamental concepts, models, tools, and generative AI applications regarding the data analytics landscape.
In this course, you will examine real-world applications and use generative AI to gain data insights using techniques such as prompts, visualization, storytelling, querying and so on. In addition, you will understand the ethical implications, considerations, and challenges of using generative AI in data analytics across different industries.
You will acquire practical experience through hands-on labs where you will leverage generative AI models and tools such as ChatGPT, ChatCSV, Mostly.AI, SQLthroughAI and more.
Finally, you will apply the concepts learned throughout the course to a data analytics project. Also, you will have an opportunity to test your knowledge with practice and graded quizzes and earn a certificate.
This course is suitable for both practicing data analysts as well as learners aspiring to start a career in data analytics. It requires some basic knowledge of data analytics, prompt engineering, Python programming and generative artificial intelligence.
Register for this course and see more details by visiting:
OpenCourser.com/course/3e5uop/generative
What's inside
Syllabus
Data Analytics and Generative AI
This module introduces Generative AI for Data Analytics. You will explore several generative AI tools used in data analytics and gain insights into implementing them successfully. The module covers using generative AI for tasks like data generation and augmentation, data preparation, querying databases, and obtaining insights from Q&A models.
Read more
Syllabus
Data Analytics and Generative AI
This module introduces Generative AI for Data Analytics. You will explore several generative AI tools used in data analytics and gain insights into implementing them successfully. The module covers using generative AI for tasks like data generation and augmentation, data preparation, querying databases, and obtaining insights from Q&A models.
Read more
Use of Generative AI for Data Analytics
In this module, you will have the skills and knowledge to effectively use Generative AI to derive insights, create visually compelling data representations, and construct interactive dashboards for data analytics pipelines. You will also understand the importance of ethical practices in utilizing generative models for data analytics.
Final Project and Exam
In this module, you will complete a guided practice project where you will use a real-world data set and practice generative AI to generate Python codes that can perform data preparation, analysis, visualization and dashboarding. In addition, you will attempt a final graded exam designed to evaluate your understanding of generative AI.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a comprehensive study of generative AI in data analytics
Taught by highly accomplished instructors, Rav Ahuja, Abhishek Gagneja, and Dr. Pooja
Develops practical skills through hands-on labs using popular generative AI tools and models
Suitable for both aspiring and practicing data analysts
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Activities
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Generative AI: Enhance your Data Analytics Career .
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Generative AI: Enhance your Data Analytics Career will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data and statistical methods to gain insights and solve complex problems. This course, Generative AI: Enhance your Data Analytics Career, can help you become a Data Scientist by providing you with a comprehensive understanding of generative AI and its applications in data science. Through hands-on labs and practical exercises, you will learn how to use generative AImodels and tools to derive insights, create visually compelling data representations, and build interactive dashboards for data analytics pipelines. This course will equip you with the skills and knowledge needed to succeed in the competitive field of data science.
AI Engineer
AI Engineer
AI Engineers design, develop, and maintain AI systems. Generative AI: Enhance your Data Analytics Career can help you become an AI Engineer by teaching you the fundamentals of generative AI and how to use generative AI models to build and improve AI systems. This course will help you stay ahead in the competitive field of AI by providing valuable hands-on experience and practical knowledge.
Data Analyst
Data Analyst
Data Analysts provide actionable insights to business stakeholders from collected data. This course, Generative AI: Enhance your Data Analytics Career, can help you become a Data Analyst by teaching you how to apply Generative AI to the data analytics landscape. With hands-on labs and practical experience, you will learn to use generative AI models and tools to gain data insights, create compelling data representations, and build interactive dashboards. Furthermore, completing this course will help you stay ahead in the field by equipping you with cutting-edge skills in Generative AI.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. Generative AI: Enhance your Data Analytics Career can help you become a Machine Learning Engineer by teaching you the fundamentals of generative AI and how to use generative AI models to build and improve machine learning models. This course will help you stay ahead in a competitive field by providing valuable hands-on experience and practical knowledge.
Research Scientist
Research Scientist
Research Scientists conduct research in various fields, including computer science, machine learning, and data science. Generative AI: Enhance your Data Analytics Career can help you become a Research Scientist by providing you with a comprehensive understanding of generative AI and its applications in research. This course will help you stay ahead in the competitive field of research by providing valuable hands-on experience and practical knowledge.
Business Analyst
Business Analyst
Business Analysts analyze business data to improve processes and make better decisions. Generative AI: Enhance your Data Analytics Career can help you become a Business Analyst by teaching you how to use generative AI to gain insights from data and communicate these insights to business stakeholders. This course will provide you with the skills and knowledge needed to succeed in the field of business analysis.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to provide insights. Generative AI: Enhance your Data Analytics Career may be useful for Statisticians interested in using generative AI to improve data analysis techniques. This course will provide you with a comprehensive understanding of generative AI and its applications in statistics.
Data Architect
Data Architect
Data Architects design and manage data systems. Generative AI: Enhance your Data Analytics Career may be useful for Data Architects interested in using generative AI to improve data architecture techniques. This course will provide you with a comprehensive understanding of generative AI and its applications in data architecture.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. Generative AI: Enhance your Data Analytics Career may be useful for Database Administrators interested in using generative AI to improve database management techniques. This course will provide you with a comprehensive understanding of generative AI and its applications in database administration.
Market Researcher
Market Researcher
Market Researchers gather and analyze data about markets and consumers. Generative AI: Enhance your Data Analytics Career may be useful for Market Researchers interested in using generative AI to improve market research techniques. This course will provide you with a comprehensive understanding of generative AI and its applications in market research.
Information Technology Manager
Information Technology Manager
Information Technology Managers plan and manage IT systems. Generative AI: Enhance your Data Analytics Career may be useful for Information Technology Managers interested in using generative AI to improve IT management techniques. This course will provide you with a comprehensive understanding of generative AI and its applications in IT management.
UX Researcher
UX Researcher
UX Researchers study how users interact with products and services. Generative AI: Enhance your Data Analytics Career may be useful for UX Researchers interested in using generative AI to improve UX research techniques. This course will provide you with a comprehensive understanding of generative AI and its applications in UX research.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. Generative AI: Enhance your Data Analytics Career may be useful for Software Engineers interested in using generative AI to improve software development processes. This course will provide you with a comprehensive understanding of generative AI and its applications in software engineering.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. Generative AI: Enhance your Data Analytics Career may be useful for Financial Analysts interested in using generative AI to improve financial analysis techniques. This course will provide you with a comprehensive understanding of generative AI and its applications in financial analysis.
Product Manager
Product Manager
Product Managers oversee the development and launch of products. Generative AI: Enhance your Data Analytics Career may be useful for Product Managers interested in using generative AI to improve product development processes. This course will provide you with a comprehensive understanding of generative AI and its applications in product management.
For more career information including salaries, visit:
OpenCourser.com/course/3e5uop/generative
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Generative AI: Enhance your Data Analytics Career .
Save
Provides a comprehensive overview of GANs, one of the most popular generative models. It covers the theoretical foundations of GANs, as well as practical tips on how to train and use them.
Provides a comprehensive overview of artificial intelligence with Python. It covers the different types of AI models, how to use Python for AI, and how to evaluate the performance of AI models. It valuable resource for anyone looking to use Python for AI.
This paper introduces VAEs, another popular generative model. It provides a detailed explanation of the VAE architecture and learning algorithm.
Provides a comprehensive overview of data analytics in Python. It covers the different types of data analytics techniques, how to use Python for data analysis, and how to interpret the results. It valuable resource for anyone looking to use Python for data analytics.
Provides a comprehensive overview of machine learning with Python. It covers the different types of machine learning models, how to use Python for machine learning, and how to evaluate the performance of machine learning models. It valuable resource for anyone looking to use Python for machine learning.
Provides a gentle introduction to artificial intelligence for dummies. It covers the basics of AI, including different types of AI models, how they work, and their applications. It useful resource for anyone looking to get started with AI.
Provides a gentle introduction to data analytics for dummies. It covers the basics of data analysis, including data cleaning, exploration, and visualization. It useful resource for anyone looking to get started with data analytics.
Provides a gentle introduction to machine learning for dummies. It covers the basics of machine learning, including different types of machine learning models, how to use them, and how to evaluate their performance. It useful resource for anyone looking to get started with machine learning.
Provides a more theoretical understanding of generative AI, covering the mathematical foundations of generative models. It good resource for those who want to understand the underlying principles of generative AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3e5uop/generative
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Effort
3 weeks of study, 3-4 hours/week
Level
Intermediate
Via
Coursera
Institution
IBM
Instructors
Dr. Pooja
Abhishek Gagneja
Rav Ahuja
Language
English
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This course belongs to a
collection
called
Generative AI for Data Analysts. It's comprised of one courses:
- Generative AI: Enhance your Data Analytics Career (viewing)
Good to know
Provides a comprehensive study of generative AI in data analytics
Taught by highly accomplished instructors, Rav Ahuja, Abhishek Gagneja, and Dr. Pooja
Develops practical skills through hands-on labs using popular generative AI tools and models
Suitable for both aspiring and practicing data analysts
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