Launch Your Future in AI & Data Analytics
In a world powered by data, the ability to analyze, interpret, and act on information is one of the most valuable skills you can have. Whether you're looking to break into tech, enhance your current role, or future-proof your career, our Data Analytics Micro-Credential is your gateway to opportunity.
The Data Analytics micro-credential from ATCC:
- Is affordable!
- Includes regular support from knowledgeable college instructors
- Lets students learn and grow alongside classmates rather than alone
- Has manageable workload ideal for working adults
- Provides sequential coursework that builds on prior learning
- Can award college credit
Data Analytics Training Details
Intro Courses Begin:
August 25, 2025
Advanced Courses Begin:
December 15, 2025
Cost:
- Intro Courses: $1068 (Test-Out Available)
- Advanced Courses: $1602
- Total: $2870
Sequential Coursework:
Learn 1-2 focused skills at a time, in a sequence that builds on knowledge gained
Estimated Workload:
6-8 hours per week
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What You’ll Learn
This hands-on, career-focused program introduces you to the essential tools and techniques used by data professionals today. You’ll gain practical experience in:
- Analyzing customer behavior and market trends
- Optimizing business operations using data insights
- Personalizing user experiences through predictive analytics
- Forecasting outcomes with AI-powered tools
Who Should Enroll?
This program is perfect for:
- Students exploring careers in tech, business, or marketing
- Professionals looking to upskill or pivot into data roles
- Entrepreneurs who want to make data-driven decisions
- Anyone curious about the power of AI and analytics
Course Descriptions & Schedule
Intro Courses
Each Intro Course is 8 weeks long. Test-out available.
Excel & Data Visualization AIDA1400
Begins August 25, 20253 Credits | Instructor: Mavis Pattee
Learners will create and format Excel worksheets and associated charts and tables. Advanced concepts include using formulas and functions; performing logic tests; creating and analyzing data tables; importing and consolidating information; creating, querying, and sorting tables; analyzing worksheets; and using Power Tools for data analysis.
Data Analytics Essentials AIDA1440
Begins October 20, 20253 Credits | Instructor: Chris Meier
In this course, students will learn to transform, organize, and visualize data with spreadsheet tools such as Excel. They will also query data from a relational database using Structured Query Language (SQL) and create data presentations using a business intelligence tool like Tableau.
Advanced Courses
Advanced Courses require satisfactory completion of Intro Courses, or test-out. Advanced Courses are 8 weeks long except for Python for AI which is 12 weeks. The last 4 weeks of Python for AI overlap with the first 4 weeks of Machine Learning, as the courses build on one another.
Python for AI AIDA1405
Begins December 15, 20254 Credits | Instructor: Chris Meier
The course covers the basics of Python programming and general computer programming concepts and techniques, using materials provided by Cisco Networking Academy. Python I was developed by the OpenEDG Python Institute to enhance, develop, and support professional careers in Python programming and related technologies. Python I prepares learners for the PCEPTM – Certified Entry-Level Python Programmer. The PCEPTM certification (Exam PCEP-30-0x) is a professional credential that measures the candidate's ability to accomplish coding tasks related to the essentials of programming in the Python language.
Machine Learning AIDA1420
Begins March 9, 20263 Credits | Instructor: Justin Eberhardt
This course is an introduction to machine learning. Topics include classification (decision trees and support vector machines), regression, clustering (k-means and hierarchical), and an overview of neural networks. Students must have a PC or Mac computer running C, Python, NumPy, matplotlib, scikit-learn, and be able to install additional libraries as needed.
Artificial Intelligence AIDA1430
Begins April 6, 20263 Credits | Instructor: Justin Eberhardt
This course introduces artificial intelligence (AI) as a system comprised of perception, machine learning algorithms, and action. Topics include the goals of AI, machine learning algorithms, graph searching, neural networks, and the history of AI. Students must have a computer running C, Python, NumPy, matplotlib, scikit-learn, and TensorFlow. Students must be able to install new software and libraries on their computer.