AI Workflow: Data Analysis and Hypothesis Testing
This course is part of IBM AI Enterprise Workflow Specialization.
Course Cost
Free course
Advanced
Skill Level
10 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM AI Enterprise Workflow Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Create and implement effective data visualization strategies
Apply statistical methods for hypothesis testing
Handle missing data using various imputation techniques
Develop dashboards in IBM Watson Studio
Conduct exploratory data analysis for AI workflows
Skills you'll gain
This course includes:
0.7 Hours PreRecorded video
7 quizzes, 2 peer reviews
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate

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There are 2 modules in this course
This comprehensive course focuses on data analysis and hypothesis testing within AI enterprise workflows. Students learn exploratory data analysis techniques, data visualization best practices, and statistical testing methods. The curriculum covers probability distributions, null hypothesis significance testing, and strategies for handling missing data. Through hands-on case studies using IBM Watson Studio, learners develop practical skills in creating dashboards and conducting multiple testing analyses.
Data Analysis
Module 1 · 5 Hours to complete
Data Investigation
Module 2 · 5 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: IBM AI Enterprise Workflow Specialization
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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.






