DATA SCIENCE

The Data Science certificate of achievement provide students with foundational and practical knowledge and training to prepare them for entry-level careers in Data Science or Data Analytics. The program touches on both the Mathematical and Computational areas of the subject matter including Descriptive and  Inferential Statistics, Programming & Analysis Tools such as Python and R, and existing AWS Cloud Services such as Data Lake, Athena, Glue, and Redshift. The program also help prepare students with appropriate background for the Data Analytics specialty certification from AWS. Topics include Data Exploration and Visualization with Jupyter, Regression Analysis, and other Data Science tools such as numpy, scipy, pandas, matplotlib, seaborn, statsmodels, scikit-learn, keras, and TensorFlow.

Possible Jobs: Data Scientist, Associate Data Scientist, Junior Data Scientist, Data Analyst, Business Analytics Specialist, Data Visualization Developer, Operations Research Analyst, Market Research Analyst, Modeling and Simulation Analyst, and Big Data Analyst.

 

We anticipate 10  projected students/annual completers each year, based on enrollment data.

Course Department & Number	Title	Annual # Sections 2019-20	Annual Enrollment Total 2019-20	Annual # Sections 2020-21	Annual Enrollment Total 2020-21
CS 119	PROGRAMMING IN PYTHON	3	81	2	53
CIS 192	INTRODUCTION TO CLOUD COMPUTING	-	-	2	39
CIS 193	DATABASE ESSENTIALS IN AMAZON WEB SERVICES	-	-	1	17
CIS 219	INTRODUCTION TO ORACLE: SQL AND PL/SQL	3	61	4	93

The Data Science certificate of achievement provide students with foundational and practical knowledge and training to prepare them for entry-level careers in Data Science or Data Analytics. The program touches on both the Mathematical and Computational areas of the subject matter including Descriptive and Inferential Statistics, Programming & Analysis Tools such as Python and R, and existing AWS Cloud Services such as Data Lake, Athena, Glue, and Redshift. The program also help prepare students with appropriate background for the Data Analytics specialty certification from AWS. Topics include Data Exploration and Visualization with Jupyter, Regression Analysis, and other Data Science tools such as numpy, scipy, pandas, matplotlib, seaborn, statsmodels, scikit-learn, keras, and TensorFlow.

Possible Jobs: Data Scientist, Associate Data Scientist, Junior Data Scientist, Data Analyst, Business Analytics Specialist, Data Visualization Developer, Operations Research Analyst, Market Research Analyst, Modeling and Simulation Analyst, and Big Data Analyst.

1. Use Jupyter notebooks for interactive data exploration and visualization.
2. Use various Python libraries such as numpy, scipy, pandas, matplotlib, seaborn, statsmodels, scikit-learn, keras, and TensorFlow to analyze, visualize, and forecast data for various applications.
3. Apply data cleaning, preparation, wrangling, and ETL (Extract-Transform-Load) techniques to analyze structured, unstructured, and steaming data.
4. Use AWS Cloud Services such as Data Lakes, Athena, Glue, and Redshift to simplify Data Analysis.
5. Apply mathematical concepts related to probability and statistics in a modern hands-on approach that uses software tools such as Python and R to gather, summarize, visualize data and to make predictions and with regression analysis.

The program supports the college mission to prepare students for careers in technical education. The program has a clear sequence of courses that leads to intended outcomes and gainful employment and as such is appropriate to the objectives and conditions of higher education and community college education in California.

The program was discussed and approved in the advisory board meeting of October 14, 2021. The minutes of that meeting is attached and the approval of the program is highlighted.

There are no requirements for additional facilities and equipment.

Course	Title	Units	Year/Semester (Y1 or S1)
CS 119	PROGRAMMING IN PYTHON	3	S1
CIS 192	INTRODUCTION TO CLOUD COMPUTING	3	S1
CIS 193	DATABASE ESSENTIALS IN AMAZON WEB SERVICES	3	S1
CS 121	PYTHON FOR DATA SCIENCE AND MACHINE LEARNING	3	S2
CIS 219	INTRODUCTION TO ORACLE: SQL AND PL/SQL	3	S2
CS 165	DATA SCIENCE PROGRAMMING AND APPLICATIONS	3	S3
MATH 229	STATISTICS FOR DATA SCIENCE	4	S3

No inventory records will need to be made inactive. No similar programs are offered by the college.

1) Mt. San Antonio College (28 miles away) Big Data: https://www.mtsac.edu/cis/online-certificate/bigdata.html 2) Costline College (40 miles away) Data Analytics - https://www.coastline.edu/programs/data-analytics.php 3) College of San Mateo (40 miles away) Data Science and Big Data: http://catalog.collegeofsanmateo.edu/current/programs/data-science-and-big-data-cs.php

20