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AI Workflow: Data Analysis and Hypothesis Testing
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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.

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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

Artificial Intelligence
Data Science
Python Programming
Information Engineering
Machine Learning
Statistical Analysis
Hypothesis Testing
Data Visualization
Exploratory Data Analysis
IBM Watson Studio

This course includes:

0.7 Hours PreRecorded video

7 quizzes, 2 peer reviews

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Reviews

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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.

AI Workflow: Data Analysis and Hypothesis Testing

Advanced

Skill Level

10 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.