DSBIZ™ (Exam DSZ-110): Data Science for Business Professionals
Course Number: CNX0009
Course Length: 1/2 day
Overview:
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.
CertNexus is recognized by SHRM to offer Professional Development Credits (PDCs) for SHRM-CP® or SHRM-SCP® recertification activities.
Target Student:
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.
Prerequisites:
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.
Course Content
Lesson 1: Data Science Fundamentals
Topic A: What is Data Science?
Topic B: Types of Data
Topic C: The Data Science Lifecycle
Lesson 2: Data Science Implementation
Topic A: Data Acquisition and Preparation
Topic B: Data Modeling and Visualization
Topic C: Data Science Roles
Lesson 3: The Impact of Data Science
Topic A: Benefits of Data Science
Topic B: Challenges of Data Science
Topic C: Business Use Cases for Data Science