Generative AI Skills for Data Analysts
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Course
Generative AI Skills for Data Analysts
Launch your data analyst career with the power of generative AI. Master how to extract, refine, and visualize data efficiently.
Flexible Schedule
Intermediate Level
Mentor Support
Duration
Generative AI is redefining how data professionals analyze, visualize, and interpret information. This course helps you integrate GenAI tools into your workflow to work faster, smarter, and more creatively.
Youll explore core concepts and practical applications of generative AI in data extraction, augmentation, interpretation, and visualization. Through guided labs, youll gain hands-on experience using tools like ChatGPT, ChatCSV, Mostly.AI, and SQLthroughAI to automate data analysis, generate Python code, and create interactive dashboards.
Towards the end of the course, youll complete a final exam and project to demonstrate your applied skills and showcase them in your professional portfolio.
Overall, this course will help you build confidence and practical know-how in using generative AI for real-world data analysis and accelerate your career in analytics.
This course comprises three purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 13 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
By the end of this course, you will be able to:
- Explore the use cases of generative AI tools and techniques in data analytics.
- Apply generative AI tools to perform data analytics tasks, including data preparation, analysis, visualization, and storytelling.
- Assess practical case studies that demonstrate the effective application of generative AI in extracting valuable insights from data.
- Examine the ethical implications and obstacles linked with the use of generative AI in data analytics.
- Aspiring or current data analysts seeking to integrate GenAI tools into their workflow.
- Professionals aiming to enhance productivity in data preparation and visualization.
- Learners familiar with basic generative AI concepts
- General familiarity with generative AI and prompt engineering basics.
Course Outline
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
The Generative AI for Data Analysts course shows how to apply generative AI for extracting, preparing, augmenting, analyzing, and visualizing data. Youll build practical skills with tools like ChatGPT, ChatCSV, Mostly.AI, and SQLthroughAI while completing hands-on labs and a portfolio-ready project.
This course is ideal for aspiring and practicing data analysts who want to strengthen their career by learning how to use generative AI in data analytics tasks. If you want to be more productive, efficient, and skilled in modern data practices, this program is a great fit.
Generative AI in data analytics is used for AI tools and models to automate data extraction, generation, augmentation, and visualization. In this course, youll explore real-world applications that make data analysis faster and more effective.
Youll learn how generative AI supports data preparation by extracting and cleaning data, generating missing values, and augmenting datasets. It also assists in analysis by generating SQL queries, Python code, and insights from structured and unstructured data.
Yes. The course teaches how to apply generative AI for data visualization and storytelling, helping you create interactive dashboards and clear, compelling narratives that communicate insights effectively.
Youll gain hands-on experience with ChatGPT, ChatCSV, Mostly.AI, SQLthroughAI, and more. These platforms are widely used for generative AI data analytics, and youll learn to apply them for tasks such as code generation and dashboard creation.
Yes. Youll complete hands-on labs for applying generative AI in data analysis tasks, plus a final project and exam. The project can be added to your portfolio to showcase your skills to potential employers.
Applications include generating synthetic datasets, augmenting existing data, automating SQL queries, building Python scripts, creating AI dashboards, and improving storytelling with data. Case studies in the course demonstrate these use cases in practice.
Yes. Youll examine the ethical implications and potential obstacles of generative AI in data analytics, such as data privacy, bias, and responsible use of AI-generated outputs.
Its recommended that learners have a general familiarity with generative AI and prompt engineering basics. Completing our Generative AI Essentials and Prompt Engineering Essentials courses is suggested before taking this course.
Generative AI for data analysts course enables automation of repetitive tasks like data preparation, code generation, and visualization. By mastering these techniques, you can work faster, focus on insights, and increase your overall productivity.
Yes. Upon completing the final project and exam, youll receive an IBM Certificate. This credential demonstrates your skills in generative AI for data analytics and strengthens your resume.
Type of certificate
IBM Certificate
About this course
03 Modules
04 Skills
Includes
Discussion Space
11 Hands-On Labs
04 Practice Quizzes
02 Graded Quiz
01 Final project
01 Final exam
Create
Dashboards & Storytelling
Exercises to explore
Simple Generative Tool
Data Generation and Augmentation
Data Preparation
Querying Databases
Data Analytics
This course has been created by
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