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Sinclair College

2022 - 2023 Catalog Year
Data Analytics (Full-time)

Degree: Associate of Applied Science
Division: Business and Public Services

This Sample Program Pathway is designed to provide an example of course selections in a term by term sequence. Please see an Academic Advisor for a plan specific to your academic needs.

Fall Semester (First Year)
Elective course signified by
Hours
 

Description:

Introduction to operating systems and their concepts. Both the command line interface (CLI), with commonly used instructions, and a graphical user interface (GUI) will be used to manage and administer current desktop operating systems (Windows, Linux and Mac OS X). Operating systems for mobile devices (Apple IOS, Google Android and Windows Phone) will be introduced and popular applications for mobile devices will be reviewed.

Description: Introduction to computer networking. Topics include network standards and the Open Source Interconnection (OSI) model, topologies and Ethernet standards, network hardware, remote connectivity, wireless networking, in-depth TCP/IP, network security, network troubleshooting and network management.

Description: Introduction to problem solving techniques used in programming. Students learn to use tools such as flowcharts and pseudocode to plan solutions. Using C++ programming languages, students will design, code and test programs using the basic structures of sequence, selection, iteration, functions and arrays.

Prerequisites: MAT 0200 and MAT 0200 and MAT 0200 and MAT 0200 and MAT 0200 and MAT 0200 and MAT 0200 and MAT 0200 or MAT 1120 or MAT 1120 or MAT 1120 or MAT 1120 or MAT 1120 or MAT 1120 or MAT 1120 or MAT 1120

Description:

Applications of mathematics and functions to business analysis. Linear applications, functions, financial mathematics, systems, matrices, inequalities. Traditional testing (proctored or in Testing Center) is used in all online sections. Note: Students who have not completed the required prerequisite courses listed, but have successfully completed MAT 0200 with a grade of C or better, can register for MAT 1460 together with the co-requisite course MAT 0460, Booster for Mathematics for Business Analysis.

Prerequisites: MAT 0300 and MAT 0300 and Other ( with a grade of C or better or satisfactory score on math placement test) and Other (with a grade of C or better or satisfactory score on math placement test)

Description:

Use word processing, spreadsheet, database and presentation software applications to create reports, spreadsheets, databases and presentations for business and other applications.

Notes: Program elective. Choose from one of the following courses: BIS 1120 or BIS 1105.

 

Term hours subtotal:

15

Spring Semester (First Year)
Hours
 

Description:

Introduction to database management systems. Discussion of database environments, design, planning, implementation and administration in a relational model environment. Students will design and develop a simple database and implement a portion of this application including forms, queries and reports. Emphasis on database design techniques, normalization and the SQL database language.

Prerequisites: MAT 0200 or MAT 1120

Description: This course will introduce students to the field of data preparation and visualization including design and hands-on experience with Tableau. Students will learn how to collect, transform, curate, and analyze datasets. The course will introduce students to design and build principles for telling stories for effective communications to facilitate data-driven decision-making, provide insights, and help speed up organizations that are data rich and information poor.

Prerequisites: MAT 0200 and MAT 0200 or MAT 1120 or MAT 1120

Description:

Statistical techniques and methodology. Graphical and tabular presentation of data, probability, parameters, statistical distributions, sampling, confidence intervals, tests of hypotheses, regression, and correlation. Three classroom, two lab hours per week. Traditional testing (proctored or in Testing Center) is used in all online sections.

Prerequisites: MAT 0300 and MAT 0300 and MAT 0300 and Other ( with a grade of C or better or satisfactory score on math placement test) and Other (with a grade of C or better or satisfactory score on math placement test) and Other (with a grade of C or better or satisfactory score on math placement test)

Description: In English Composition I students learn reflective, analytical and argumentative writing strategies, incorporating sources and personal experience. Students will negotiate between public and private rhetorical situations and purposes to achieve academic literacy. They will write multiple drafts using a recursive writing process as they work toward fluency in style and mechanics.

Prerequisites: DEV 0035 and DEV 0035 and DEV 0035 and DEV 0035 and DEV 0035 and DEV 0035 and DEV 0035 and DEV 0035 and DEV 0035 or Other (Placement Test Score) or Other (Placement Test Score) or Other (Placement Test Score) or Other (Placement Test Score) or Other (Placement Test Score) or Other (Placement Test Score) or Other (Placement Test Score) or Other (Placement Test Score) or Other (Placement Test Score)

 

Term hours subtotal:

13

Summer Semester (First Year)
Elective course signified by
Hours
 

Description: This course examines the role of technology in the modern society. It explores the opportunities and dangers faced by humankind in the evolution of new technologies. It inquires into such questions as whether the human quest for mastery of nature has made us masters or slaves of the machine.

Notes: Any Arts and Humanities elective from the approved Ohio Transfer 36 List. View electives at: https://sinclair.edu/about/offices/provost/articulation-transfer/ohio-transfer-36/

Description: Focusing on development of effective small group decision-making and leadership skills, stressing better methods of expressing oneself and understanding others through learning group communication, theory and participating in small group decision-making experiences.

Notes: Program elective. Choose: COM 2206, COM 2211, or COM 2225

Prerequisites: DEV 0035 and DEV 0035 or Other (Any other college level English course) or Other (Any other college level English course)

Description:

Introduction to the systems development life cycle and the four-phase model (planning, analysis, design and implementation). Emphasis on requirements gathering, methodology, modeling and skills related to specifications, design and documentation. Discussion of business processes, law, legal issues and ethics for IT professionals.

 

Term hours subtotal:

9

Fall Semester (Second Year)
Hours
 

Description:

This course introduces students to analyzing data using Python. The basics of Python will be taught. Students will learn how to obtain, cleanse and prepare data for analysis. Data analytic and statistical tools will be used to visualize data, predict outcomes and categorize data.

Prerequisites: MAT 0200

Description: Statistical inferences, including estimation, confidence intervals, and tests of hypotheses for means, standard deviations and proportions; analysis of variance; regression analysis; chi-square; business applications. Students will develop a basic competency using a computer spreadsheet to perform statistical calculations. Two classroom, two lab hours per week. Traditional testing (proctored or in Testing Center) is used in all online sections.

Prerequisites: MAT 2170 and MAT 2170 and Other ( with a grade of C or better or satisfactory score on math placement test) and Other (with a grade of C or better or satisfactory score on math placement test)

Description: Basic economic principles with macro sequence. Interrelationship of households, business and government with an examination of Keynesian theory, fiscal policy and monetary policy. Traditional testing (proctored or in Testing Center) is used in all online sections.

Prerequisites: DEV 0035 and DEV 0035 and DEV 0035 and DEV 0035 and MAT 0050 and MAT 0050 and MAT 0050 and MAT 0050 or MAT 1120 or MAT 1120 or MAT 1120 or MAT 1120

Description:

Students will learn techniques to properly manage large and multi-sheet spreadsheets, use spreadsheets to arrange and manage data, develop advanced spreadsheet formulas and functions, perform "What-If" analysis using spreadsheet tools and design and create end-user spreadsheet applications.

Prerequisites: BIS 1120 or BIS 1221

 

Term hours subtotal:

12

Spring Semester (Second Year)
Important message signified by
Elective course signified by
Hours
 

Description:

Introduction to database management system in a client/server environment. The course covers Structured Query Language (SQL) and development and administrative tools. Students are taught to create and maintain database objects and to store, retrieve and manipulate data, and create blocks of application code that can be shared by multiple forms, reports, and data management applications.

Prerequisites: CIS 2165

Description: In today's business environment, the need to work effectively and efficiently with data is critical. This course primarily focuses on using spreadsheet software to acquire data from various sources, transform that data into useful information and create analytical tools in the form of powerful visualizations that will enhance business intelligence.

Prerequisites: BIS 1120

Description:

An introduction to business intelligence, data analysis, data warehousing, data mining theory and tools, and how to structure the data and prepare reports in a way that is meaningful to business users. Emphasis is placed upon understanding business intelligence techniques to construct and use business intelligence solutions for decision support.

Prerequisites: CIS 2165 and MAT 2170

Description: Survey of financial accounting for non-accounting majors. Accounting concepts, financial statements, internal control, cash, and payroll.

Notes: Program elective. Choose ACC 1100 or ACC 1210

Description:

Students earn academic credit toward their graduation requirement by working in a professional information technology environment. Students must work at 5 - 10 hours per week per credit hour for one semester and be supervised/mentored by a professional in the field. The BPS internship coordinator can help guide students in their search, but students are ultimately responsible for obtaining a qualifying position. Students already working in the field may apply to use that experience to meet the internship requirement if they can prove that new learning will take place

Notes: Internships must be approved by the Work Based Learning Office. You can find their contact information here: https://www.sinclair.edu/services/graduation-career/work-based-learning/.

Prerequisites: CIS 1107 or CIS 1411 or CIS 2510 or CIS 1202 or CIS 2212 and Approval of Department

 

Term hours subtotal:

15

This information is for planning purposes only. Sinclair College will make every effort to offer curriculum listed above but reserves the right to change, add and cancel curriculum offerings for unforeseen circumstances. View current catalog.