Guide to Data Analytics, Machine Learning and AI for Higher Education
Big data technologies and advanced analytics are transforming the higher education sector. From personalizing learning paths to early identification of at risk students, the use cases are many. Unfortunately, most universities struggle to aggregate and analyze their data at scale. And, few have the expertise to leverage the latest machine learning techniques.
Fortunately, there’s a path forward. In this comprehensive industry primer we will show you how to transform your big data into actionable insights with a unified approach to data analytics and AI.
Specifically, you will learn:
The challenges of data science adoption within the higher education sector
How applying advanced analytics to a broad set of data sources can enable cutting edge use cases
The value of popular big data open-source technologies such as Apache SparkTM, Delta Lake and MLflow
How a unified approach to data analytics in the cloud can help simplify data preparation and accelerate the use of AI and machine learning