Course details

Data Science 10: Data Research Exploration Techniques

Data Science 10: Data Research Exploration Techniques


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

To master data science, you must learn the techniques around data research. In this course you will discover how to use data exploration techniques to derive different data dimensions and derive value from the data. How to practically implement data exploration using R, Python, linear algebra, and plots is also covered.



Expected Duration (hours)
0.8

Lesson Objectives

Data Science 10: Data Research Exploration Techniques

  • 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