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