Course

DSBA: Introduction to the Data Science Landscape

Self-paced

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Full course description

Course Overview

This free introductory course serves as a preview and overview of the Data Science and Business Analytics program, providing you with a foundational understanding of the key concepts and skills you will develop throughout your learning journey.

Why enroll in this course?

In today’s world, data is being generated at an unprecedented rate. According to estimates, every individual contributes approximately 1.7 MB of data per second. This explosion of data has made data science and business analytics indispensable in various industries. Organizations are leveraging data to make informed decisions, optimize operations, and gain a competitive edge.

The ability to analyze, interpret, and leverage data is now a crucial skill across all industries. A study published by Harvard Business Review found that companies excelling in data-driven decision-making are 5% more productive and 6% more profitable than their competitors. This introductory course will set the stage for your learning journey in data science and business analytics, giving you a high-level understanding of the program’s structure and goals.

What will you learn?

This course will introduce you to key topics covered in the full program, allowing you to explore fundamental concepts before diving deeper into advanced applications. Through engaging video lectures, quizzes, and interactive exercises, you will gain insights into what lies ahead in your learning journey.

By the end of this course, you will have a clear roadmap of the skills and knowledge areas you will develop in the Data Science and Business Analytics program.

Structure

The course is completely self paced. It will take you approximately 15 hours to complete all 6 modules. Activities include, video lessons, readings, and self reflection activities. Upon successful completion of this course, you will receive a certificate of completion.

Smith Executive Education Homepage | Contact us: rhsmith-execed@umd.edu

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