Data Analysis

This area of instruction provides content for knowledge and skills required in the Disciplined Agile Scrum Master (DASM) and Agile Certified Practitioner (ACP) workplace. The demand will continue to expand for students prepared with knowledge of skills in fundamentals, agile product life cycle management and preparation for the DASM and ACP certifications from the Project Management Institute (PMI).

This area of instruction provides content for knowledge and skills required in the Disciplined Agile Scrum Master (DASM) and Agile Certified Practitioner (ACP) workplace. The demand will continue to expand for students prepared with knowledge of skills in fundamentals, agile product life cycle management and preparation for the DASM and ACP certifications from the Project Management Institute (PMI).

Provided with the PMBOK guide, the student is on the path to a career in project management. The student will go through the fundamentals of what it takes to be a Project Manager. This course also includes Ethics and Strategies to manage and develop a team through standards recognized by the Project Management Institute.

In this course, students will learn the foundational concepts, techniques, and tools of data analysis. They will explore the data analysis process, work with various data types, and gain an understanding of descriptive statistics. Students will develop proficiency in using Microsoft Excel for data analysis tasks, including data cleaning, preparation, and visualization. The course also covers an introduction to databases and SQL, enabling students to work with relational databases and perform basic queries.

This course provides students with a comprehensive introduction to the fundamentals of Artificial Intelligence (AI). Students will explore the history and evolution of AI, its current applications across various industries, and the potential future impact.