Learners in this program are equipped with the skills to design, implement, and evaluate learning and development (L&D) strategies that align with business goals. They can create digital learning experiences, implement coaching frameworks, curate content for diverse teams, apply gamification techniques, assess learning technologies, and measure training effectiveness using learning analytics. Through projects, learners gain real-world experience in fostering continuous improvement and enhancing workforce development. Learners will work individually or in small groups of 2-4 students, based on the number of students enrolled at the time. Students will only be able to take on 1 project. *Project start date is flexible, but project applications must be submitted by  June 15 , and projects must be finished before  June 30, 2025 . *

Project start date is flexible, but project applications must be submitted by June 15, and projects must be finished before June 30, 2025. Students will only be able to take on 1 project. Learners in this program explore the concepts and skills necessary to transition into project management-based careers. In this course, Learners will learn definitions and processes that contribute to the project management framework. The course will follow the project methodology of the Project Management Institute and explore the project life cycle, stakeholder management, how organizational culture affects project management, scope management, and how a project is created. Learners will prepare for the workplace by learning the foundations of Project Management and its critical role in all industries and work functions. 

Introduction: This experience invites learners who have completed the foundational modules of the Data Analysis program at Calbright College to engage in real-world projects. Learners will apply their knowledge of data analysis, SQL, and data storytelling to solve industry-relevant challenges. Our learners are equipped to present data-driven solutions that address the needs of your organization, helping inform better decision-making through their analysis and research. Learners will work individually or in small groups of 2-4 students, based on the number of students enrolled at the time. Students will only be able to take on 1 project. *Project start date is flexible, but projects need to be submitted before June 15 and projects must be finished before June 30 2025* Expectations from Partners: Partners are expected to provide clear project objectives, datasets (if applicable), and a point of contact for communication and feedback. We anticipate active engagement throughout the project. In return, partners will gain fresh insights into their data and actionable recommendations tailored to their business needs.

Learners in this program are building the technical, analytical, and business acumen needed to launch careers in data analysis, market research, and business intelligence . Through real-world, applied projects, they gain hands-on experience in gathering, structuring, and analyzing data to inform decision-making. By the end of the course, learners are able to: Design and build databases for efficient data storage and retrieval Collect, clean, and analyze structured and unstructured datasets Use tools such as Excel, SQL, and Python for analysis and visualization Interpret market trends and customer behavior to generate business insights Communicate findings through clear reports, dashboards, and presentations Their skillset bridges technical execution and strategic thinking—ideal for organizations seeking support with exploratory research, operational improvement, or product planning. Learners will work individually or in small groups of 2-4 students, based on the number of students enrolled at the time. *Project start date is flexible, but the self-assignment must be completed by  December 1 , and projects must be finished before  December 31, 2025 * *** Please note that your Project might not receive a student*** Expectations from Partners: Partners are expected to provide clear project objectives, datasets (if applicable), and a point of contact for communication and feedback. We anticipate active engagement throughout the project. In return, partners will gain fresh insights into their data and actionable recommendations tailored to their business needs.