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Oct 06, 2024
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2022-2023 Pierce College Catalog [ARCHIVED CATALOG]
Business and Data Analytics Certificate Course Map
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Created by Pierce faculty, this map outlines the initial coursework for this career field. It provides you a clear path to complete your certificate by listing a specific set of courses relevant to your program and career. The map is designed with the appropriate number of credits and meets certificate requirements. Courses are organized in a recommended sequence; please schedule accordingly. If a course is unavailable, work with the CIS/CNE Navigator to select the appropriate replacement. For each course, a purpose statement explains how the content relates to your career field. On this map, there may be instances when you will be required to select a course from several options. Use these purpose statements and notes to choose the course that best aligns with your interests and needs. You will also find action items to complete to assure you progress and graduate on time.
While this map is a great guide to courses required to complete the Business Analysis Certificate, you are responsible for fulfilling all certificate requirements.
Questions? Your Success Network is ready to help you!
Field Entry Certification Opportunities
To enhance your employability consider completing IIBA ECBA Certification, Azure Fundamentals Certification AZ-900, Azure Data Fundamentals Certification DP-900, and Power BI Data Analyst Associate Certification. Please talk with an advisor for more information.
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Action Item: Meet with CIS faculty and/or STEM advisor
Discuss career goals and interests to customize your education plan.
Use your Success Network (in Starfish)! Access your Degree Planner in Starfish, visit your career and transfer path, adjust your goals as needed, and plan your next steps.
1. College Success
- COLLG 110 College Success (3 credits)
Course purpose: A foundational course to explore and affirm a career choice and build upon the skills, knowledge, and resources that will support you at Pierce College and beyond. Note: The College Success course you select will depend on the Career Pathway Map you are following. Your advisor will assist you in selecting either the 3- or 5- credit version of the course. Should you choose to repeat a College Success course you must enroll in a College Success course with the same credit amount as the original course; a COLLG 110 course grade can only be replaced with a grade from another COLLG 110 course and a COLLG 115 course grade can only be replaced with a grade from another COLLG 115 course.
2. Core Courses (30 credits)
Complete all six courses in this series of core IT courses
3. Course Choices (10 credits)
Choose 10 credits from the following courses that fit your career goals and interests. Please note the required prerequisites for each course below for accurate course sequencing.
- CIS 124 Introduction to JavaScript (JS) (5 credits)
Course purpose: You will learn to program in JavaScript, using current frameworks.
Note: This course is a prerequisite to CIS 270 (see below). - CIS 169 Introduction to Cloud Fundamentals (5 credits)
Course purpose: You will learn cloud computing basics from current cloud providers. Meets Cloud Fundamentals certification.
Note: This course is a prerequisite to CIS 262 (see below). - CIS 262 Cloud Data Fundamentals (5 credits)
Course purpose: You will learn core data concepts to work with data in the cloud. Meets Azure Data Fundamentals certification.
Course Prerequisite: CIS 169 Introduction to Cloud Fundamentals - CIS 273 Data Visualization (5 credits)
Course purpose: You will learn to design, conceptualize and build data visualizations.
Course Prerequisite: CIS 124 Introduction to JavaScript - CIS 275 Business Intelligence (BI) (5 credits)
Course purpose: You will learn to prepare, model, visualize and analyze data using BI solutions. Meets Microsoft Certified Data Analyst Associate.
Course Prerequisite: CIS 136 Spreadsheet Applications - CIS 276 Data Analytics I (5 credits)
Course purpose: You will learn data analytics programming in Python using descriptive analytics.
Course Prerequisites: CIS 122 Introduction to Programming and Math 146 Introduction to Statistics - CIS 277 Data Analytics II (5 credits)
Course purpose: You will learn data analytics programming in Python using predictive analytics and regression models.
Course Prerequisite: CIS 276 Data Analytics I
Action Item: Complete Certification Exam(s)
Please complete certification exam(s) (ex. IIBA ECBA Business Analyst, Microsoft Data Analyst Associate, Azure Data Fundamentals) and begin post-graduation job search or transfer advising.
Action Item: Transfer Advising
Please meet with your advisor to discuss transfer and bridge courses to 2-year Associates, 4-year Bachelor, and related degrees.
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