Syllabus for DTM-533
Data Analytics
Data Analytics refers to the use of analysis techniques and processes to enhance productivity and business gains. Analytics is a multidimensional discipline that uses mathematics and statistics, descriptive techniques, as well as predictive models to extract and present valuable knowledge from data stores. Organizations use analytics to process business data in an effort to describe, predict, and improve business performance. In this course, students will develop the knowledge and skills needed to extract and categorize data and to identify and analyze behavioral data and patterns using methodologies and techniques tailored to meet organizational requirements. Students will learn to apply frameworks for information optimization, visual analytics, data discovery, predictive analytics, and right-time and real-time analytics.
After completing this course, you should be able to:
CO1 Analyze appropriate data methods to capture data to improve business performance.
CO2 Compare analytical techniques to solve business problems.
CO3 Develop effective data visualization techniques to present results.
CO4 Examine ethical issues in business-related data analytics (e.g., intellectual property, data security, integrity, and privacy).
You will need the following materials to complete your coursework. Some course materials may be free, open source, or available from other providers. You can access free or open-source materials by clicking the links provided below or in the module details documents. To purchase course materials, please visit the University's textbook supplier.
ISBN-13: 978-1118892701
ISBN-13: 978-0544227750
Data Analytics is a three-credit, online course, consisting of five modules. Modules include an overview, topics, learning objectives, study materials, and activities. Module titles are listed below.
For your formal work in the course, you are required to participate in online discussion forums, complete
written assignments, complete statbook activities, complete analysis activities, and complete a final project. See below for details.
Consult the Course Calendar for due dates.
One or more of your course activities may utilize a tool designed to promote original work and evaluate your submissions for plagiarism. More information about this tool is available in this document.
You are required to participate in nine graded online discussions. There is also an ungraded but required Introductions Forum in Module 1.
Communication with the mentor and among fellow students is a critical component of online learning. Participation in online discussions involves two distinct activities: an initial response to a discussion question and at least two subsequent comments on a classmate's response. Meaningful participation is relevant to the content, adds value, and advances the discussion. Comments such as "I agree" and "ditto" are not considered value-adding participation. Therefore, when you agree or disagree with a classmate, the reading, or your mentor, state and support your agreement or disagreement.
You will be evaluated on the quality and quantity of your participation, including your use of relevant course information and your awareness of and responses to the postings of your classmates. Remember, these are discussions. Responses and comments should be properly proofread and edited, professional, and respectful.
You are required to complete five written assignments. The written assignments are on a variety of topics associated with the course modules.
You are required to complete two statbook activities. The statbook activities are on a variety of topics associated with the course modules.
You are required to complete three analysis activities. The analysis activities are on a variety of topics associated with the course modules.
You are required to complete a final project. The focus of the final project is to research and develop a comprehensive analytical plan to solve a real-world business problem. Refer to the Final Project area of the course website for full details and requirements. Consult the Course Calendar for due dates.
Your grade in the course will be determined as follows:
All activities will receive a numerical grade of 0–100. You will receive a score of 0 for any work not submitted. Your final grade in the course will be a letter grade. Letter grade equivalents for numerical grades are as follows:
A | = | 93–100 | B | = | 83–87 | |
A– | = | 90–92 | C | = | 73–82 | |
B+ | = | 88–89 | F | = | Below 73 |
To receive credit for the course, you must earn a letter grade of C or better (for an area of study course) or D or better (for a course not in your area of study), based on the weighted average of all assigned course work (e.g., assignments, discussion postings, final project).
To succeed in this course, take the following first steps:
Consider the following study tips for success:
To ensure success in all your academic endeavors and coursework at Thomas Edison State University, familiarize yourself with all administrative and academic policies including those related to academic integrity, course late submissions, course extensions, and grading policies.
For more, see:
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