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Certificates in Data Analytics

Prerequisites
No mathematics or computer science experience is necessary. A general understanding of computing terminology and concepts is recommended. Familarity with databases and with basic statistical concepts is helpful.
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Pick One from Each Level

Level 100
Introduction to Data Analytics and Big Data
Big Data Overview
Introduction to Cloud Technology
AWS & Cloud IT Foundations

Level 200
SQL For Data Analytics
Data Analysis with Python, SQL and Excel
Python for Data Science
Data Visualization with Matplotlib & Seaborn
Machine Learning & Data Science with Python
Hadoop Programming
R Programming for Data Science

Level 300
Big Data Analytics for Data Engineers
Big Data On AWS
Data Science with Apache Spark
Advanced Topics in Artificial Intelligence
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Optional Capstone

Optionally, UMBC Training Centers can add a Level 300 Capstone Project to the Certificate program. In a Capstone, students would complete a Data Analytics project (working with an instructor advisor) and produce a report and presentation of their results to fellow students and optionally other work colleagues.

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