Applied Data Analytics

Overview

Key facts

The Applied Data Analytics curriculum at Boston University provides a thorough immersion in concepts and techniques for organizing, cleaning, analyzing, and representing/visualizing large amounts of data. Students will be exposed to various database systems, data-mining tools, data visualization tools and packages, Python packages, R packages, and cloud services such as Amazon AWS, Google Cloud, and Mass Open Cloud. The knowledge of analytics tools combined with an understanding of data-mining and machine-learning approaches will enable students to critically analyze real-world problems and understand the possibilities and limitations of analytics applications.

Learning Outcomes

• Knowledge of the foundations of applied probability and statistics and their relevance in day-to-day data analysis.

• Comprehension of computing concepts and applications requirements involving massive computing needs and data storage.

• The ability to apply various data visualization techniques using real-world data sets and analyze graphs and charts.

• Understanding of web analytics and metrics, procuring and processing unstructured text/data, and the ability to investigate hidden patterns.

• Knowledge-discovery skills using data-mining techniques and tools over large amounts of data.

• The ability to implement machine-learning algorithms and their pertinence in real-world applications.

• Comprehensive knowledge of data analytics techniques, skills, and critical thinking, and an understanding of the possibilities and limitations of their applications.