Generative AI: Elevate your Business Intelligence Career from Coursera

Do you want to enhance your career in business intelligence (BI) by leveraging generative AI? This course discusses the use cases for leveraging generative AI across different stages of the BI lifecycle.

The course teaches how generative AI-based tools enable querying databases, documents, and spreadsheets using natural language and AI. You will learn about SQL generation using AI tools and data analysis through clustering and segmentation.

You will learn how generative AI can be useful for interactive data visualizations, including generating data infographics and dashboards. Using generative AI tools, you will learn to create and analyze reports and presentations. You will learn about text generation and summarization through generative AI and conversational interfaces in BI.

The course also provides useful insights into ethical considerations, challenges, and limitations of using generative AI for BI.

The course offers hands-on labs and a project to showcase your proficiency in applying generative AI to different use cases in the BI domain.

With a blend of theory, hands-on labs, and real-world case studies, you’ll effectively use cutting-edge BI tools and techniques for business success.

You will also hear from practitioners about the potential and capabilities of generative AI to transform your HR career.

This course is suitable for existing BI Analysts as well as those starting their careers in this domain.

What's inside

Syllabus

Data Handling and Cleansing

In this module, you will explore the role of generative AI across the different stages of the BI lifecycle. You will learn about the generative AI tools and technologies that can be leveraged to enhance BI. You will also explore how to generate synthetic data, detect anomalies, and handle missing data. The hands-on labs will enable you to experience data cleansing.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Offers hands-on labs and a project, allowing learners to apply generative AI to real-world use cases within the business intelligence domain, which is crucial for practical skill development

Explores ethical considerations, challenges, and limitations of using generative AI for business intelligence, which is essential for responsible and informed application of these technologies

Teaches how to leverage generative AI across different stages of the business intelligence lifecycle, which is highly relevant for professionals looking to enhance their capabilities

Covers SQL generation using AI tools, data analysis through clustering and segmentation, and interactive data visualizations, which are all core skills for modern business intelligence

Requires learners to engage with AI tools for data visualization and dashboard creation, which may necessitate access to specific software or platforms beyond standard business intelligence tools

Reviews summary

Genai for business intelligence overview

According to learners, this course offers a highly relevant and timely overview of how generative AI can transform the business intelligence career. Students appreciate the focus on practical applications across the BI lifecycle, from data handling to visualization and reporting. The hands-on labs and project are frequently highlighted as providing valuable practical experience. While many found it an excellent introduction to the topic, some felt it provided a broad perspective rather than deep technical detail, suggesting it might be best suited for beginners or those seeking a high-level understanding of GenAI's role in BI.

Suitable for those new to GenAI in BI.

"As someone new to AI in BI, this course was a great starting point."

"If you're already an expert, this might be too basic."

"Good for getting the foundational knowledge needed for this field."

Provides a broad overview, not deep dive.

"This course gives a solid foundation, but don't expect deep technical dives."

"It's more of an executive overview than a technical how-to."

"I found it useful for understanding the concepts, but I'll need other resources for implementation."

Labs and project provide practical application.

"The labs were helpful in seeing the tools in action."

"I appreciated the hands-on exercises; they solidified the concepts."

"The final project was a great way to practice everything learned."

Covers essential use cases for GenAI in BI.

"The course topic is incredibly relevant for BI professionals today."

"Learning how GenAI fits into the BI workflow was very useful."

"It really opened my eyes to the potential of AI in my daily BI tasks."

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: Elevate your Business Intelligence Career with these activities:

Review SQL Fundamentals

Show steps

Reviewing SQL fundamentals will prepare you for the module on data analysis, where you'll be generating SQL using AI tools.

Browse courses on SQL

Show steps

Review basic SQL syntax and commands.
Practice writing simple SQL queries.
Familiarize yourself with common database concepts.

Review 'Data Science for Business'

Show steps

Reading this book will provide a strong foundation in data science principles, which are essential for understanding the application of generative AI in BI.

View Data Science for Business on Amazon

Show steps

Read the chapters on data mining and analytical thinking.
Take notes on key concepts and techniques.
Reflect on how these concepts relate to business intelligence.

Explore Generative AI Tools for Data Visualization

Show steps

Following tutorials on generative AI tools for data visualization will enhance your skills in creating interactive dashboards and infographics.

Show steps

Identify several generative AI tools for data visualization.
Follow tutorials to learn how to use these tools.
Experiment with different visualization techniques.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Practice SQL Generation with AI Tools

Show steps

Practicing SQL generation with AI tools will solidify your understanding of how to query databases using natural language.

Show steps

Use AI tools to generate SQL queries from natural language descriptions.
Compare the generated queries with manually written queries.
Identify and correct any errors in the generated queries.

Develop a BI Dashboard using Generative AI

Show steps

Starting a project to develop a BI dashboard using generative AI will allow you to apply the concepts learned in the course and showcase your proficiency.

Show steps

Choose a relevant dataset for your dashboard.
Use generative AI tools to create visualizations and reports.
Design an interactive dashboard that presents key insights.
Document your project and present your findings.

Write a Blog Post on Ethical Considerations of AI in BI

Show steps

Writing a blog post on the ethical considerations of using AI in BI will deepen your understanding of the challenges and limitations discussed in the course.

Show steps

Research the ethical implications of using AI in BI.
Outline the key points you want to cover in your blog post.
Write a clear and concise blog post that addresses these ethical considerations.
Publish your blog post on a relevant platform.

Review 'Building Machine Learning Powered Applications'

Show steps

Reading this book will provide practical insights into deploying machine learning models, which is relevant to using generative AI in BI.

View Building Machine Learning Powered Applications:... on Amazon

Show steps

Read the chapters on building data pipelines and deploying models.
Take notes on key concepts and best practices.
Reflect on how these concepts apply to BI applications.

Career center

Learners who complete Generative AI: Elevate your Business Intelligence Career will develop knowledge and skills that may be useful to these careers:

Business Intelligence Analyst

A business intelligence analyst leverages data to provide actionable insights, and this course directly enhances those capabilities through generative AI. You will learn to query databases with natural language, generate SQL, and perform data analysis with clustering and segmentation. The course also covers data visualization, report automation, and even ethical considerations, which all make you a more effective business intelligence analyst. This course provides hands-on experience by using generative AI to improve the BI lifecycle, making you a more skilled candidate in this role.

See salaries and explore the career path for Business Intelligence Analyst

Data Analyst

Data analysts extract meaningful conclusions from raw information, and this course uses generative AI to make that process more efficient. This course helps you to leverage tools for data analysis, including clustering and segmentation. You will also learn to work with databases, documents, and spreadsheets using natural language and AI. The data analyst will benefit from learning about interactive data visualizations, automated dashboard generation, and text generation. The course provides hands-on experience that builds a foundation for career success, in particular by using AI tools.

See salaries and explore the career path for Data Analyst

Report Analyst

A report analyst is responsible for creating and delivering reports based on findings of data and this course enhances the sophistication of these reports using generative AI. This course covers using AI to generate data infographics, dashboards, and also automated reports. A report analyst will be able to summarize data with AI tools, which will save time. Additionally, they can use this course's lesson on ethical considerations to ensure integrity. This course will help the report analyst to present findings with greater impact through hands-on experience.

See salaries and explore the career path for Report Analyst

Data Visualization Specialist

A data visualization specialist is responsible for presenting data in a clear and effective manner. The course gives you tools to generate data infographics and automated dashboards using AI. A data visualization specialist will benefit from the lessons on interactive data visualization. By using AI, the course ensures a data visualization specialist can communicate findings with greater impact. The course provides hands-on experience in these emerging AI tools.

See salaries and explore the career path for Data Visualization Specialist

Data Reporting Specialist

A data reporting specialist is responsible for creating reports that summarize data and the course introduces generative AI to make these reports more insightful. You will learn about text generation and summarization using generative AI tools. A data reporting specialist may use these tools to create reports and presentations more effectively than before. The lessons on conversational interfaces in BI provide additional value to the ways this data is presented. The course provides hands-on experience, allowing the data reporting specialist to utilize these new methods.

See salaries and explore the career path for Data Reporting Specialist

Data Scientist

Data scientists use advanced analytics to solve complex problems and this course provides a powerful toolkit using generative AI. You will explore how to query databases, documents, and spreadsheets with natural language and AI. In addition, your data science work will be enhanced by this course's lessons on automated data visualization, report generation, and ethical considerations. A data scientist will find the hands-on labs and project invaluable since they provide experience using these emerging technologies.

See salaries and explore the career path for Data Scientist

Business Intelligence Developer

A business intelligence developer creates and maintains the systems that allow for data analysis and reporting and this course helps elevate that process using generative AI. You will learn to use AI tools to query databases, generate SQL, and create interactive data visualizations. The course provides hands-on experience with automated dashboard generation and report building, which are essential skills for a developer in this space. A business intelligence developer will greatly benefit from the lessons in this course, which provide practical hands-on experience in generative AI.

See salaries and explore the career path for Business Intelligence Developer

Business Systems Analyst

A business systems analyst works with business and IT teams to improve processes and this course's focus on generative AI for BI will improve those systems. The course helps you learn how to use AI for querying databases, documents, and spreadsheets, which is essential for understanding data. The business systems analyst will benefit from lessons on data visualization, dashboard generation, and automated reporting. By learning the ethical considerations, they can develop responsible systems, all with practical hands-on application.

See salaries and explore the career path for Business Systems Analyst

Market Research Analyst

A market research analyst interprets market data with the intent to guide business strategy and this course will enhance those processes using generative AI. By using AI tools you may learn to query databases, documents, and spreadsheets. The market research analyst may make strong use of this course's lessons on data analysis with clustering and segmentation. The course's lessons on report automation and data visualization will also help the market research analyst bring their data to life.

See salaries and explore the career path for Market Research Analyst

Financial Analyst

Financial analysts use data to make recommendations about investment and this course will sharpen those analytical abilities with generative AI. The course will teach the financial analyst to query databases, documents, and spreadsheets using natural language and apply tools for clustering and segmentation. The course offers lessons on data visualization, automated reporting, and ethical considerations. By applying these lessons the financial analyst may improve accuracy and speed of their analysis.

See salaries and explore the career path for Financial Analyst

Database Administrator

Database administrators are responsible for the performance and integrity of data and this course will enhance their expertise through generative AI. The course will allow you to use natural language and AI to query databases, and you will also learn about SQL generation using AI tools. A database administrator will benefit from understanding how AI is used for data analysis since this can help them optimize database structures. In addition, this course introduces ethical considerations that may inform database management practices.

See salaries and explore the career path for Database Administrator

Management Consultant

A management consultant advises organizations on how to improve performance, and this course provides skills in generative AI that are increasingly helpful in this role. This course teaches how AI can be used to query databases, documents, and spreadsheets, offering new ways to gather data insights. A management consultant may find the lessons on data visualization and automated reporting especially helpful as they must present findings. The course will help a consultant use generative AI in a responsible manner.

See salaries and explore the career path for Management Consultant

Quantitative Analyst

Quantitative analysts, who are often called quants, use mathematical and statistical methods to solve problems. This course introduces generative AI techniques that can be another tool for data analysis, querying databases, and generating SQL. The quantitative analyst may find the hands-on labs will be helpful for practical applications of AI in finance. Quants will also benefit from the courses lesson on data visualization and reporting, allowing them to communicate results to stakeholders.

See salaries and explore the career path for Quantitative Analyst

Human Resources Analyst

A human resources analyst works with data relating to employee behavior and this course provides lessons on using generative AI for improvements in BI. The course teaches about using AI tools for querying databases, documents, and spreadsheets. The HR analyst will find practical use in the lessons on data analysis through clustering and segmentation. In addition, the course features commentary from practitioners about the impact of generative AI in HR.

See salaries and explore the career path for Human Resources Analyst

Operations Research Analyst

Operations research analysts use quantitative methods to advise on business processes, and this course in generative AI may enhance their work. The operations research analyst uses data to help organizations make better decisions and this course includes lessons using AI to query databases, documents, and spreadsheets. This may also improve the creation of data visualizations and automate reporting. The ops research analyst may find the hands-on practice of AI tools very applicable to their daily work.

See salaries and explore the career path for Operations Research Analyst

Generative AI

Elevate your Business Intelligence Career

Here's a deal for you

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Genai for business intelligence overview

Activities

Career center

Reading list

Share

Similar courses