IBM - AI Workflow: Business Priorities and Data Ingestion

Offered byCoursera

AI Workflow: Business Priorities and Data Ingestion
at
Coursera
Overview

Upskilling is a better roadmap to success. Enroll in this course to learn critical principles of Data Science through real-life case studies & examples

Duration	8 hours
Start from	Start Now
Total fee	Free
Mode of learning	Online
Difficulty level	Intermediate
Official Website	Explore Free Course
Credential	Certificate

AI Workflow: Business Priorities and Data Ingestion
at
Coursera
Highlights

Earn a certificate of learning on course completion
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Pay only for getting a certificate of completion
This course is offered by IBM

AI Workflow: Business Priorities and Data Ingestion
at
Coursera
Course details

Skills you will learn

Python Statistics Software Testing Data Science

Who should do this course?

This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses.

What are the course deliverables?

Know the advantages of carrying out data science using a structured process
Describe how the stages of design thinking correspond to the AI enterprise workflow
Discuss several strategies used to prioritize business opportunities
Explain where data science and data engineering have the most overlap in the AI workflow
Explain the purpose of testing in data ingestion
Describe the use case for sparse matrices as a target destination for data ingestion
Know the initial steps that can be taken towards automation of data ingestion pipelines

More about this course

This is the first course of a six part specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones
This first course in the IBM AI Enterprise Workflow Certification specialization introduces you to the scope of the specialization and prerequisites. Specifically, the courses in this specialization are meant for practicing data scientists who are knowledgeable about probability, statistics, linear algebra, and Python tooling for data science and machine learning. A hypothetical streaming media company will be introduced as your new client. You will be introduced to the concept of design thinking, IBMs framework for organizing large enterprise AI projects. You will also be introduced to the basics of scientific thinking, because the quality that distinguishes a seasoned data scientist from a beginner is creative, scientific thinking. Finally you will start your work for the hypothetical media company by understanding the data they have, and by building a data ingestion pipeline using Python and Jupyter notebooks.