Big Data Interpretation

Big Data Interpretation

Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number

Overview/Description
Utilizing big data can lead to significant gains for your organization such as lowered operating costs, better decision-making, and innovate new product development. But you have to know how to effectively identify, gather, analyze and use your data to reap the benefits. In this course you'll learn about the data analysis process. This course also introduces you to the most common basic and advanced analytics methods, including data mining. This course also covers some of the most common big data tools and their associated uses, and some challenges to keep in mind when undertaking big data analysis activities in your organization.

Target Audience
individuals who want to learn fundamental concepts and achieve a basic working knowledge of big data

Prerequisites
None

Expected Duration (hours)
0.4

Lesson Objectives

Big Data Interpretation

sequence the five steps of the data analysis process

identify the four data analysis categories

recognize basic data analysis methods

recognize advanced data analysis methods

recognize some of the most common big data tools used for data storage, management, cleaning, and mining activities

recognize some of the most common big data tools used for data analysis, visualization, integration, and collection activities

identify the challenges associated with big data analysis

Course Number:
aba_01_a02_bs_enus