Statistical Data Analytics

The Statistical Data Analytics Certificate of Achievement provides students with foundational knowledge of statistical theory, methodologies, and tools, enabling them to apply statistical techniques to diverse data analysis tasks. Students will demonstrate proficiency in using data science tools, like Python and R, for data processing, including data collection, cleaning, and transformation, to ensure data quality and reliability for analytical purposes.

Potential careers: Data Analyst, Data Scientist, Healthcare Data Analyst, Statistical Analyst, Research Scientist, Market Research Analyst, Data Consultant, Statistical Software Developer, Data Visualization Developer, computer systems analyst, computer network support specialist, computer network architect, statistical assistant, and professional career in data science fields.

	<Year 2021-2022>	<Year 2022-2023>
CB01: Course Department Number	CB02: Course Title	Annual # Sections	Annual Enrollment Total	Annual # Sections	Annual Enrollment Total
MATH 217	Fundamentals of Mathematical Programming	-	-	-	-
MATH 229	Statistics for Data Science	-	-	2	34
CIS 219	Introduction to Oracle: SQL and PL/SQL	2	63	2	59
MATH 271	Linear Algebra for Data Science	-	-	-	-
MATH 239	Applied Data Science	-	-	-	-

The Statistical Data Analytics Certificate of Achievement addresses industry’s continuing demands for professionals to test and build tools to make data-driven decisions to solve real-world problems as well as to plan for the future by valuable insights and knowledge from data using statistical techniques to prepare them to enter the professional fields in data science. This program not only prepares students to develop predictive models, evaluate the effectiveness of different interventions and strategies, and mitigate risks and anomalies in data, but also equips students with practical skills in data visualization and experience using programming tools such as Python and R. Students will acquire the skills to communicate complex statistical information to a variety of stakeholders effectively, and ultimately, to equip students for success in the data-driven world.

 

Program Level Student Learning Outcomes (PSLOs):

1.      Convey information to diverse stakeholders through clear and impactful data visualization through the use of Python or R.

2.      Construct and evaluate complex statistical models, interpret findings, and make data-driven recommendations in various contexts.

Certificate of Achievement: Statistical Data Analytics

The program was discussed and approved in the advisory board meeting on September 28, 2023. The advisory board minutes is attached. The recommendations of the advisory board committee were adopted.

Course	Title	Units	Year/Semester (Y1 or S1)
MATH 217	Fundamentals of Mathematical Programming	4	Y1 Fall
MATH 229	Statistics for Data Science	4	Y1 Fall
CIS 219	Introduction to Oracle: SQL and PL/SQL	3	Y1 Fall
MATH 271	Linear Algebra for Data Science	3	Y1 Spring
MATH 239	Applied Data Science		Y1 Spring

Before completing this section, review the college’s existing program inventory in the CCC Curriculum Inventory, then address the following questions: a) Do any active inventory records need to be made inactive or changed in connection with the approval of the proposed program? If yes, please specify. NO. b) Does the program replace any existing program(s) on the college’s inventory? Provide relevant details if this program is related to the termination or scaling down of another program(s). NO. c) What related programs are offered by the college? NO.

1) Moorpark College (41.1 miles away) https://catalog.vcccd.edu/moorpark/programs-courses/mathematics/data-science- coa/#reqtext Data Science, with its many applications, is a field of study that draws heavily from the foundational concepts in statistics and machine learning and uses programming to explain or predict outcomes from data.

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