Printed on 4/19/2024
Data & Analytics Specialist
10-156-3
Associate Degree (AAS)
Part Time, Full Time
60 Credits
Financial Aid Eligible
Location*:
Online
*If general education courses are required, they may be available at multiple locations.
As a Data Specialist, you’ll collect, structure, transform, quality check and analyze data from numerous sources. You’ll collaborate with decision-makers and stakeholders; create processes to gather, manage and utilize data; implement those processes using a variety of technologies to create reports and visualizations; and support data scientists, data architects and data consumers. Through their systems, analyses and communications, Data Specialists empower decisions and their organizations.
COURSE LIST
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Course list for reference only. Current students please refer to your individualized program plan or see your advisor.
**Outside effort hours are an estimate based on state standards, and may vary from person to person.
Technical Studies
(36 Credits)
-
IT Career Experience
10-107-110
2Credit
54
54
- Instructional Hours: 54
- Outside Effort Hours: 54
- Course Number: 10107110
- Credits: 2.00
Credit for Prior Learning Options Available
Examines and identifies job-seeking, job-keeping and interviewing techniques, strategies for identifying and meeting external and internal customer needs as well as good listening skills and techniques for dealing with difficult customers. Also covers time management, team dynamics, continual improvement processes and global business practices.
Prereq: Student has completed or is in process of completing ALL of the following:
-
Linux Essentials - Just Enough Linux
10-150-155
1Credit
18
36
N/A
- Instructional Hours: 18
- Outside Effort Hours: 36
- Course Number: 10150155
- Credits: 1.00
Covers Basic Linux topics including operating system basics, file management, graphic user interfaces and the command line interface.
-
Network Essentials
10-150-162
2Credit
54
54
- Instructional Hours: 54
- Outside Effort Hours: 54
- Course Number: 10150162
- Credits: 2.00
Credit for Prior Learning Options Available
Provides an introduction to networking theory and technologies, including the basics of communication, common protocols, the OSI model, network topologies, local network media, network devices, network security and networking tools. Includes more in-depth study of the components of TCP/IP, Ethernet, and wireless networks. Involves considerable time developing troubleshooting skills.
-
Data Access for Programmers
10-152-168
3Credit
72
90
N/A
- Instructional Hours: 72
- Outside Effort Hours: 90
- Course Number: 10152168
- Credits: 3.00
Provides background in fundamental database concepts, design, documentation, implementation and distribution involving the relational database model. Students will create, query and update relational databases using Structured Query Language (SQL).
-
Data Administration Techniques
10-152-170
3Credit
72
90
- Instructional Hours: 72
- Outside Effort Hours: 90
- Course Number: 10152170
- Credits: 3.00
Credit for Prior Learning Options Available
Covers the operation and management of client/server back-end relational databases. Topics include data definition language, table modification, creating views, indices, triggers, transactions, backup and recovery.
Prereq: Student has completed or is in process of completing ALL of the following:
-
Python Data Programming
10-156-103
3Credit
72
90
N/A
- Instructional Hours: 72
- Outside Effort Hours: 90
- Course Number: 10156103
- Credits: 3.00
Introduction to programming using the Python language. Covers programming fundamentals including variables, datatypes, loops, conditionals, functions, and libraries. Examples focus on storage, retrieval, and manipulation of data.
-
Data Analytics, Introduction
10-156-104
3Credit
72
90
N/A
- Instructional Hours: 72
- Outside Effort Hours: 90
- Course Number: 10156104
- Credits: 3.00
Technologies and techniques for identifying, collecting, preparing, processing, and analyzing data relevant to business questions.
Prereq: Student has completed or is in process of completing ALL of the following:
-
Data Analytics, Intermediate
10-156-105
3Credit
72
90
N/A
- Instructional Hours: 72
- Outside Effort Hours: 90
- Course Number: 10156105
- Credits: 3.00
Additional technologies and techniques for analyzing data, including cloud cognitive services and simple machine learning. Also examines organizational processes surrounding data as well as business analysis for data projects.
Prereq: Student has completed or is in process of completing ALL of the following:
-
Programming in R
10-156-106
3Credit
72
90
N/A
- Instructional Hours: 72
- Outside Effort Hours: 90
- Course Number: 10156106
- Credits: 3.00
Programming in the R statistical computing language. Examples cover data manipulation, analysis, and plotting.
Prereq: Student has completed or is in process of completing ALL of the following:
-
ETL & Data Warehousing
10-156-107
3Credit
72
90
N/A
- Instructional Hours: 72
- Outside Effort Hours: 90
- Course Number: 10156107
- Credits: 3.00
Automating data pipelines. Code Extract, Transform, Load (ETL) procedures to connect a variety of data producers, repositories, and consumers. Explores various strategies and schemas for data warehousing as well as the overall flow of data through the organization and its systems.
Prereq: Student has completed or is in process of completing ALL of the following:
-
Business Intelligence & Data Visualization
10-156-108
3Credit
72
90
N/A
- Instructional Hours: 72
- Outside Effort Hours: 90
- Course Number: 10156108
- Credits: 3.00
Technologies and techniques for communicating summaries, insights, and predictions gleaned from data analyses. Examines storytelling through report design, infographics, charts and graphs, purpose-built interactive dashboards, as well as custom visualizations and animations.
Prereq: Student has completed or is in process of completing ALL of the following:
-
Big Data
10-156-109
3Credit
72
90
N/A
- Instructional Hours: 72
- Outside Effort Hours: 90
- Course Number: 10156109
- Credits: 3.00
Explores the problems created by, strategies to tackle, and technologies to work with large data sets.
Prereq: Student has completed or is in process of completing ALL of the following:
-
Data Analytics Capstone
10-156-110
3Credit
72
90
N/A
- Instructional Hours: 72
- Outside Effort Hours: 90
- Course Number: 10156110
- Credits: 3.00
Complete a data project modeled as a real-world scenario. Project phases include business analysis; designing, building, and automating data infrastructure; analysis; visualization; and presenting findings to decision-makers.
Coreq: Student has completed or is simultaneously enrolling in ALL of the following:
-
College Success: On Course
10-890-100
1Credit
18
36
- Instructional Hours: 18
- Outside Effort Hours: 36
- Course Number: 10890100
- Credits: 1.00
Credit for Prior Learning Options Available
On Course helps you learn a number of proven strategies for creating greater academic, professional and personal success. You will discover how to create a rich, fulfilling life by developing new beliefs and behaviors. College Success: On Course empowers you to make wise choices in your academic and personal life which leads to improved experiences and outcomes.
General Studies
(21 Credits)
-
English Composition 1
10-801-136
3Credit
54
108
- Instructional Hours: 54
- Outside Effort Hours: 108
- Course Number: 10801136
- Credits: 3.00
Credit for Prior Learning Options Available
Learners develop and apply skills in all aspects of the writing process. Through a variety of learning activities and written documents, learners employ rhetorical strategies, plan, organize and revise content, apply critical reading strategies, locate and evaluate information, integrate and document sources, and apply standardized English language conventions.
Prereq: Student has completed or is in process of completing ALL of the following:
-
Oral/Interpersonal Comm
10-801-196
3Credit
54
108
- Instructional Hours: 54
- Outside Effort Hours: 108
- Course Number: 10801196
- Credits: 3.00
Credit for Prior Learning Options Available
Focuses on developing effective listening techniques and verbal and nonverbal communication skills through oral presentation, group activity, and other projects. The study of self, conflict, and cultural contexts will be explored, as well as their impact on communication.
Prereq: Student has completed or is in process of completing ALL of the following:
-
Math & Logic
10-804-133
3Credit
54
108
N/A
- Instructional Hours: 54
- Outside Effort Hours: 108
- Course Number: 10804133
- Credits: 3.00
Students will apply mathematical problem solving techniques. Topics will include symbolic logic, sets, algebra, Boolean algebra, and number bases.
Prereq: Student has completed or is in process of completing ANY of the following options:
Accuplacer Arithmetic 263+ OR HS GPA 2.75+ OR ACT Math 18+ OR Arithmetic Level 2 Coursework
MATH 10804113 - College Technical Math 1A
MATH 10804115 - College Technical Math 1
Student is not in progress in Associate Degree, Apprenticeship, or Technical Diploma (31 or 32 level)
-
Quantitative Reasoning
10-804-135
3Credit
54
108
N/A
- Instructional Hours: 54
- Outside Effort Hours: 108
- Course Number: 10804135
- Credits: 3.00
Intended to develop analytic reasoning and the ability to solve quantitative problems. Topics to be covered may include: construction and interpretation of graphs; descriptive statistics; geometry and spatial visualizations; math of finance; functions and modeling; probability; and logic. Appropriate use of units and dimensions, estimates, mathematical notation, and available technology will be emphasized throughout the course.
Prereq: Student has completed or is in process of completing ANY of the following options:
-
Introductory Statistics
10-804-189
3Credit
54
108
N/A
- Instructional Hours: 54
- Outside Effort Hours: 108
- Course Number: 10804189
- Credits: 3.00
Teaches students to display data with graphics, describe distributions with numbers, perform correlation and regression analyses, and design experiments. Students use probability and distributions to make predictions, estimate parameters and test hypotheses. They also draw inferences about relationships including ANOVA.
Prereq: Student has completed or is in process of completing ANY of the following options:
Accuplacer Algebra 250+ OR HS GPA 2.75+ OR ACT Math 18+ OR Algebra Level 1 Coursework
Student is not in progress in Associate Degree, Apprenticeship, or Technical Diploma (31 or 32 level)
-
Intro to Ethics: Theory & App
10-809-166
3Credit
54
108
N/A
- Instructional Hours: 54
- Outside Effort Hours: 108
- Course Number: 10809166
- Credits: 3.00
Provides a basic understanding of ethical theories and uses diverse ethical perspectives to analyze and compare relevant issues. Students will critically evaluate individual, social and/or professional standards of behavior and apply a systematic decision-making process to these situations.
Prereq: Student has completed or is in process of completing ALL of the following:
-
Intro to Psychology
10-809-198
3Credit
54
108
- Instructional Hours: 54
- Outside Effort Hours: 108
- Course Number: 10809198
- Credits: 3.00
Credit for Prior Learning Options Available
Focuses on the theoretical foundation of human functioning and looks at learning, motivation, emotions, personality, deviance and pathology, physiological factors and social influences. Students consider the complexities of human relationships in personal, social and vocational settings.
Prereq: Student has completed or is in process of completing ALL of the following: