Data Collection & Exploration

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

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Overview/Description
Most data that organizations collect doesn't offer much value. However, by applying the right techniques, you can extract powerful insights from the stockpile of data. Use data collection and exploration for the best possible prediction.

Target Audience
All individuals who are new to predictive analytics and wish to use it to optimize their business performance; business leaders; analysts; marketing, sales, software, and IT professionals who want to add predictive analytics to their skill set; and decision makers of any kind

Prerequisites
None

Expected Duration (hours)
0.8

Lesson Objectives

Data Collection & Exploration

start the course

identify what data is valuable for prediction

recognize the different data time frames and quantity of data needed to build predictive models

identify common sources of data

recognize key concepts of extracting, transforming, and loading data

recognize the important features of data warehousing and marts

identify key features of relational database management system (RDBMS) and Hadoop

identify important aspects of data collection

recognize elements of data collection strategy

recognize various ways exploration helps in understanding data

list key steps in the data exploration roadmap

Course Number:
df_prma_a05_it_enus

Expertise Level
Intermediate