This certificate prepares students for entry-level data analytics positions requiring knowledge, setup and usage of business intelligence and data analysis solutions. Data analytics is expanding in businesses, government agencies and not-for-profit organizations, enabling them to make better decisions utilizing appropriate data and information. Students will have the ability to structure data and prepare reports in a way that is meaningful to business, government agency and not-for-profit organization users. Course work will include database concepts, data modeling, SQL, data analysis, data mining tools, mathematical and statistical techniques, project management and systems analysis. Emphasis is placed on strong communication skills necessary to interact with key users and understand their requirements.
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.
Description: Introduction to problem-solving techniques used in programming. Students learn to use tools such as flowcharts and pseudocode to plan solutions. Using the C++ programming language, students will design, code, and test programs using sequence, selection, iteration, functions, and arrays. REQUIRES WINDOWS PC OR APPLE MACINTOSH
Prerequisites: MAT 0200 or MAT 1120
Description: Use word processing, spreadsheet, database and presentation software applications to create reports, spreadsheets, databases and presentations for business and other applications.
Term hours subtotal:
6
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.
Description: An introductory course in data science for students interested in information technology, computer science, and related fields. Topics include curation of data; enhanced data visualization; statistical models, estimation, and prediction; and applications of data science.
Prerequisites: MAT 0300 and Other (with a grade of "C" or better)
Term hours subtotal:
8
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. REQUIRES WINDOWS PC
Prerequisites: MAT 0200 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 Other (with a grade of C or better or satisfactory score on math placement test)
Term hours subtotal:
7
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 Other (with a grade of C or better or satisfactory score on math placement test)
Term hours subtotal:
6
Notes: Internships must be approved by the Work Based Learning Office. For more information on internships visit: https://www.sinclair.edu/services/graduation-career/work-based-learning/
Term hours subtotal:
5