Applied Data Intelligence
This online applied data intelligence micro-credential provides you with a foundational understanding of applied data intelligence. This credit-bearing micro-credential is a great introduction to the field and explores the principles of data analysis techniques and can help healthcare administration understand raw data to make informed decisions. The curriculum focuses on the application of data analytics techniques and tools to support healthcare administration, improving operational efficiency and resource allocation.
Who can benefit from learning applied data intelligence?
This micro-credential can help healthcare professionals understand data analytics to significantly enhance patient outcomes. By leveraging data, healthcare professionals can predict patient needs, customize treatment plans, and make evidence-based decisions. This ability to utilize data effectively can lead to more accurate diagnoses, more effective treatments, and overall improved patient care.
For IT professionals and students, this foundational knowledge in healthcare data analytics can open up new career opportunities in the rapidly growing field of healthcare data analytics.
Data scientists, in particular, will gain a competitive edge by specializing in healthcare data, understanding its unique challenges, and crafting innovative solutions.
The substantial growth of the healthcare analytics market, projected to reach USD 50.5 billion by 2024 from USD 14.0 billion in 2019 with a CAGR of 28.3%, underscores the increasing demand for professionals skilled in this area. This growth is driven by the integration of big data in healthcare, the shift towards value-based care, and an overarching need to improve patient care and operational efficiency through data-driven strategies. As healthcare systems worldwide continue to generate and analyze an ever-increasing volume of data, professionals equipped with expertise in healthcare data analytics will find themselves at the forefront of this evolution, navigating new technologies such as EHRs, wearable devices, and telemedicine.
Whether you're a healthcare professional looking to leverage data to improve patient care, an IT professional seeking to advance your career in a growing field, or a student or data scientist interested in specializing in healthcare data, this micro-credential can provide a strong foundation.
The micro-credential is fully online. You must meet the admissions requirements for the Master’s in Healthcare Data Analytics to begin. Interested? See our admissions page.
MDAI 600 - Introduction to Data Analytics
The amount of data available to organizations has reached unprecedented levels. Companies and individuals who can use this data together with analytic methods give themselves an edge over their competitors. In this class, we introduce the topic of data analytics using real-world examples of how analytics have been used to transform a modern organization. Some examples of analytics covered in the class include IBM Watson, the modern supply chain, Moneyball, health forecasting and other prominent applications. Using these examples, this course will cover the following data analytics methods: linear regression, logistic regression, trees, deep learning, missing data imputation, text analytics, clustering, and optimization. Students will be introduced to the R programming language, a free open statistical computational environment, and data analytics and business intelligence tools such as Sisense. 3 credits. No prerequisites.
MDAI 601 - Introduction to Database Concepts and Design
This course is intended to fine-tune the analytical and technical skills students need to function in our increasingly technological society. This course provides students with conceptual and practical experience in designing, implementing, and using databases, an increasingly important skill in the current “information age”. It serves to prepare the student to pursue a career in the highly competitive fields of database management and administration. The course will address the essential function of database management within business administration and the crucial importance of sound database design. Students will develop the skills to design, implement and utilize a database effectively. 3 credits. No prerequisites.
Upon successful completion of this micro-credential, you will be awarded two distinct badges, each representing a key area of expertise within the field of data analytics:
Data-Driven Innovations Badge
You will earn this badge when you master practical methodologies for collecting, analyzing, and interpreting complex datasets across various contexts in the Introduction to Data Analytics class. This badge signifies your ability to employ advanced analytical tools and techniques, transforming raw data into strategic intelligence for creative and strategic advancements.
Data Management Strategies Badge
You will receive this badge when you develop proficiency in the principles of database creation and management in the Introduction to Database Concepts and Design course. It acknowledges your skills in designing secure and scalable databases, optimizing data operations, and safeguarding data integrity and security.
This micro-credential and badges showcase your acquired skills and dedication to understanding the complexities of data analytics in healthcare. Whether you are enhancing your current career or exploring new opportunities, these badges and the knowledge gained from the micro-credential will prepare you to tackle real-world challenges in the healthcare data analytics field and help you succeed in this evolving field.