Applied Data Analytics (CS-ADA)

Issued by Oklahoma State Regents for Higher Education (OSRHE)

The Applied Data Analytics micro-credential will help students build industry valued skills through an engaged learning experience with real world problems. Students will move from descriptive statistics to the use of analytical techniques using industry standard tools as they work through the analysis of real-world problems. A grade of ‘C’ and above in each of the 3 courses: CS 2113, CS 2473, and ECON 2023, will ensure the successful completion of the micro-credential.

Type Learning

Additional Details

Skills

Analysis
Analytical Techniques
Computer-Based Information System Development
Data Analysis
Data Analytics
Descriptive Statistics
Information Systems
Regression Analysis
Spreadsheets
Statistical Hypothesis Testing
Statistical Methods
Statistics

Earning Criteria

CS 2113 Computer Based Information Systems - This course covers theory and practice for the design and use of computer-based information systems in organizations, with a focus on spreadsheets and databases for storage, processing, retrieval and presentation of data.
CS 2473 Data Analytics - Students will learn a practical framework that includes data, models, decisions and value to use data to help inform business decisions. They will learn to prepare, process, and analyze data and create visualizations to leverage recommendations driven by data.
ECON 2023 Statistics for Business and Economics - A Basic statistics course for undergraduate business majors. Introductory statistical methods are presented employing statistical computer software and applications to typical business and economic problems. Topics include descriptive statistics, probability concepts, probability distribution, estimation, hypothesis testing, and introduction to econometric/regression analysis, and correlation.