Course details

Data Research Exploration Techniques

Data Research Exploration Techniques


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

This course explores EDA (exploratory data analysis) and data research techniques necessary to communicate with data management professionals involved in application, implementation, and facilitation of the data research mechanism. You will examine EDA as an important way to analyze extracted data by applying various visual and quantitative methods. In this 10-video course, learners acquire data exploration techniques to derive different data dimensions to derive value from the data. You will learn proper methodologies and principles for various data exploration techniques, analysis, decision-making, and visualizations to gain valuable insights from the data. This course covers how to practically implement data exploration by using R random number generator, Python, linear algebra, and plots. You will use EDA to build learning sets which can be utilized by various machine learning algorithms or even statistical modeling. You will learn to apply univariate visualization, and to use multivariate visualizations to identify the relationship among the variables. Finally, the course explores dimensionality reduction to apply different dimension reduction algorithms to deduce the data in a state which is useful for analytics.



Expected Duration (hours)
0.8

Lesson Objectives

Data Research Exploration Techniques

  • Course Overview
  • specify the essential features and benefits provided by implementing exploratory data analysis
  • recognize the prominent approaches that can be adopted to implement data exploration
  • install and prepare R for data exploration
  • demonstrate how to implement data exploration using R
  • implement data exploration using plots in R
  • specify the essential packages provided by Python that can be used to explore data
  • implement data exploration using Python's data exploration packages
  • describe the approach of implementing data research using linear algebra
  • work with vectors and metrics using Python and R
  • explore data using R, explore data with Python packages, and work with vectors using Python
  • Course Number:
    it_dsdrptdj_02_enus

    Expertise Level
    Intermediate