All scheduled courses will run as Live Online training until the COVID-19 crisis is resolved.    |   Details >

AccountIcon BigDataIcon BlogIcon default_resource_icon CartIcon checkmark_icon cloud_devops_icon computer_network_admin_icon cyber_security_icon gsa_schedule_icon human_resources_icon location_icon phone_icon plus_icon programming_software_icon project_management_icon redhat_linux_icon search_icon sonography_icon sql_database_icon webinar_icon

Search UMBC Training Centers

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.
🡇 🡇 🡇


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
🡇 🡇 🡇

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.

View All Big Data Courses

Contact Us