While each of the following courses stands alone for Continuing Education (CEU) completion certificates, all are required to earn the Business Data Analytics Certificate. Note pre-requisite knowledge or experience.
DAT 7711 Database Fundamentals
Understanding how relational databases are designed for maximum data manipulation is the first step in the field of data management and analytics. You will learn core database concepts, and how to create database objects and manipulate data.
Central Piedmont login required.
Hours: 24
DAT 7723 Querying SQL
Prerequisite DAT7711. Learning SQL can be one of the greatest career decisions you make. SQL (Structured Query Language) will enable you to do much more in less time because you no longer have to rely on others to give you information, and you could ask any question about your business. SQL is the language used to interact with a structured database and is the most sought after skill in analysis, developing, reporting, and visualization.
Central Piedmont login required. Prerequisite DAT 7711.
Hours: 30
DAT 7735 Analyzing and Visualizing Data with Power BI
Recommended advanced level of Excel. This course is designed for professionals in a variety of job roles. This course is for you, if you are:
- currently using desktop or web-based data-management tools such as Excel or SQL Server to perform numerical or general data analysis.
- responsible for connecting to, combining and then shaping data for the purpose of analysis.
- looking for alternative ways to analyze business data, visualize insights, and share them with peers across the enterprise.
Central Piedmont login required. Recommended advanced level of Excel.
Hours: 36
DAT 7729 Agile Data Integration
Business analytics depend on integrated data to meet business requirements for management and decision-making. In this class you will learn how to identify and understand data sources, requirements, methods, roles, apply integration techniques, and design and deliver integrated databases in an Agile environment. Agile development methods allow data management professionals to deploy data solutions into business use sooner, and aligned with quickly evolving business goals.
Central Piedmont login required. Prerequisite DAT 7711.
Hours: 30
DAT 7737 Data Analytics and Reporting
Companies have long been involved in the analysis of how they performed in the past by analyzing the available data, which is called descriptive analytics. With more data readily available we are now able to do predictive analytics, which focuses on answering the question: "what is probably going to happen in the future?" What companies strive for now is to take real advantage of analytics and reach the final stage: prescriptive analytics. This type of analytics tries to give a recommendation for key decisions based on future outcomes. In this class you will learn about the different types of analytics and what tools are available to create reports both private and in the cloud as well as the governance framework.
Central Piedmont login required. Prerequisite DAT 7711.
Hours: 30
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