Course details

Data Collection & Exploration

Data Collection & Exploration


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


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