Generative AI: Enhance your Data Analytics Career from Coursera

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.

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.

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

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

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI: Enhance your Data Analytics Career with these activities:

Read Generative AI: A Practical Guide to Building and Deploying AI Models

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This book provides a solid foundation in generative AI and will help you enhance your understanding of the concepts covered in the course.

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Read through the chapters
Summarize key concepts and make notes

Follow tutorials on using generative AI for data analytics

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Following tutorials will provide you with practical guidance and step-by-step instructions on how to apply generative AI in data analytics.

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Search for tutorials that align with your learning goals
Complete the tutorials and practice exercises

Practice using prompts to generate data

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Practicing using prompts to generate data will strengthen your understanding of how generative AI models work and how to effectively use them in data analytics.

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Experiment with different prompt formats
Explore different generative AI tools and their capabilities

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Attend workshops on generative AI for data analytics

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Attending workshops will expose you to new techniques and best practices in the field.

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Research and find workshops that align with your interests
Register and attend the workshops

Join a study group or participate in online forums

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Engaging with peers will provide you with opportunities to discuss concepts, ask questions, and share your insights.

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Find a study group or online forum
Participate actively in discussions

Create a blog post or presentation on generative AI for data analytics

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Creating content will force you to consolidate your knowledge and explain concepts to others.

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Choose a topic and research it thoroughly
Create an outline and write the blog post or presentation

Mentor junior students or colleagues on generative AI

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Mentoring others will reinforce your understanding of generative AI and help you develop communication and leadership skills.

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Identify opportunities to mentor others
Provide guidance and support to your mentees

Develop a data analytics project using generative AI

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Working on a project will allow you to apply the concepts and techniques learned in the course to a real-world problem.

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Identify a problem or challenge that can be addressed with generative AI
Collect and prepare data for your project
Build a generative AI model and train it on your data

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 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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for AI Engineer

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Research Scientist

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.

See salaries and explore the career path for Business Analyst

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.

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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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Market Researcher

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.

See salaries and explore the career path for Information Technology Manager

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.

See salaries and explore the career path for UX Researcher

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Product Manager