Data Analytics

This program focuses on the design and development of data software that is able to access, process, and organize data in a meaningful way.

The program covers various concepts and tools/technologies that are essential to data development. Those concepts include Extract Transform Load (ETL) processes, Structured and unstructured data, Scripting languages, Relational and Non-Relational databases, Python, MySQL, MongoDB, Linux and Object-Oriented Design.

The course will outline how to leverage these concepts and tools to design and develop software that is able to organize data in a fast, simple, and effective way.

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COURSES

Prerequisite Skills and Knowledge

This course requires that learners have development experience in at least one of the following areas:

Application development using an object-oriented language, such as Java or C#
Intermediate experience using SQL to create and manage databases

DATA ANALYTICS TOPICS

Track 1: Data Engineering and Data Science Overview

Introduction to Data Engineering and Data Science
Introduction to Python
Python and MySQL
Introduction to NoSQL databases and MongoDB
Combine Data from different sources
Linux

Track 2: Using Distributed Systems to Manage Big Data

Distributed Systems Overview
Automating Jobs in Hadoop
Big Data using Amazon Web Services
Machine Learning, Amazon Spark, and ETL Processes
Implementing an On-Demand ETL Process
Final Project