The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improve and expand the success of the business.


* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

In this course, you will identify how data science supports business decisions. You will:

Explain the fundamentals of data science
Describe common implementations of data science.
Identify the impact data science can have on a business

  • Data Science Fundamentals

  • What is Data Science?
    Types of Data
    Data Science Roles

  • Data Science Implementation

  • The Data Science Lifecycle
    Data Acquisition and Preparation
    Data Modeling and Visualization

  • The Impact of Data Science

  • Benefits of Data Science
    Challenges of Data Science
    Business Use Cases for Data Science


This course is designed for business leaders and decision makers, including C-level executives, project managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who want to increase their knowledge of and familiarity with concepts surrounding data science. Other individuals who want to know more about basic data science concepts are also candidates for this course. This course is also designed to assist learners in preparing for the CertNexus DSBIZ (Exam DSZ-110) credential.




To ensure your success in this course, you should have a working knowledge of general business concepts and practices. You should also have a basic understanding of information technology (IT) resources and systems, including networks, computers, and other digital devices used in an enterprise setting.


Length: 1.0 day (4 hours)


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