Big Data Interpretation

Big Data Interpretation

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

Overview/Description
Using big data can lead to significant gains for your organization. Managing big data effectively can lead to lower operating costs, better decision making, and innovative new product development. Dealing with big data means utilizing big data technologies to identify, gather, and analyze data sets and develop big data strategies that reap benefits for your organization. In this course, you'll learn about the data analysis process. You'll be introduced to the most common basic and advanced analytics methods, including data mining. You'll also learn about 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

Expertise Level
Everyone