IBM
AI Workflow: Data Analysis and Hypothesis Testing
IBM

AI Workflow: Data Analysis and Hypothesis Testing

This course is part of IBM AI Enterprise Workflow Specialization

Taught in English

Mark J Grover
Ray Lopez, Ph.D.

Instructors: Mark J Grover

4,136 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.2

(101 reviews)

Advanced level
Designed for those already in the industry
10 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Assessments

7 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.2

(101 reviews)

Advanced level
Designed for those already in the industry
10 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the IBM AI Enterprise Workflow Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
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There are 2 modules in this course

Exploratory data analysis is mostly about gaining insight through visualization and hypothesis testing. This unit looks at EDA, data visualization, and missing values. One missing value strategy may be better for some models, but for others another strategy may show better predictive performance.

What's included

6 videos11 readings4 quizzes2 peer reviews1 ungraded lab

Data scientists employ a broad range of statistical tools to analyze data and reach conclusions from data. This unit focuses on the foundational techniques of estimation with probability distributions and extending these estimates to apply null hypothesis significance tests.

What's included

3 videos14 readings3 quizzes1 ungraded lab

Instructors

Instructor ratings
4.3 (16 ratings)
Mark J Grover
13 Courses87,090 learners

Offered by

IBM

Recommended if you're interested in Machine Learning

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4.2

101 reviews

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PM
5

Reviewed on Apr 2, 2020

RM
5

Reviewed on Jul 6, 2020

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