IBM
AI Workflow: Business Priorities and Data Ingestion
IBM

AI Workflow: Business Priorities and Data Ingestion

This course is part of IBM AI Enterprise Workflow Specialization

Taught in English

Mark J Grover
Ray Lopez, Ph.D.

Instructors: Mark J Grover

7,284 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.3

(151 reviews)

Intermediate level
Some related experience required
7 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Assessments

9 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.3

(151 reviews)

Intermediate level
Some related experience required
7 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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 3 modules in this course

The goal of this first module is to introduce you to the overall specialization requirements, evaluate your understanding of some key prerequisite knowledge, and familiarize you with several process models commonly used today. In this course we will use the process of design thinking, but it is the consistent application of a process in practice that is important, not the exact process itself. There are a number of reasons for choosing the design thinking process, but the most important is that it is being applied in a cross-disciplinary way—that is outside of data science.

What's included

3 videos13 readings3 quizzes

Throughout this module you will learn or reinforce what you already know about identifying and articulating business opportunities. In this module you will learn the importance of applying a scientific thought process to the task of understanding the business use case. This process has many similarities to that of being an investigator. You will also generate a healthy respect for the need to pause, step back and think scientifically about the main processes in this stage.

What's included

5 videos5 readings4 quizzes

Cleaning, parsing, assembling and gut-checking data is among the most time-consuming tasks that a data scientist has to perform. The time spent on data cleaning can start at 60% and increase depending on data quality and the project requirements. This module looks at the process of ingesting data and presents a case study working a real world scenario.

What's included

5 videos15 readings2 quizzes1 ungraded lab

Instructors

Instructor ratings
4.7 (44 ratings)
Mark J Grover
13 Courses84,250 learners

Offered by

IBM

Recommended if you're interested in Machine Learning

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4.3

151 reviews

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NZ
5

Reviewed on Mar 30, 2024

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4

Reviewed on Feb 22, 2020

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