Data Visualization and Predictive Analytics

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

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Overview/Description
This course outlines data visualization in Microsoft R, including basic principles and R functions used to create histograms, line plots, and bar charts. It also covers predictive analytics, including modeling techniques and key algorithms.

Target Audience
All individuals who wish to understand key concepts in big data analysis and Microsoft R features including scientists, analysts, and statisticians

Prerequisites
None

Expected Duration (hours)
0.9

Lesson Objectives

Data Visualization and Predictive Analytics

start the course

recognize the concept of data summarization and its importance

identify important statistics used for summarizing quantitative data

identify important statistics used for summarizing qualitative data

describe univariate analysis and identify important functions

describe the rxCrossTabs function and its use cases

identify use cases of the rxCube function

recognize the rxSummary function and its use cases

identify use cases of the rxQuantile function

identify key functions that are used to produce summary statistics

describe data visualization and its importance

identify important R functions and packages for data visualization

recall how to create histograms in Microsoft R

specify how to create line plots in Microsoft R

identify key functions that are used to visualize data

Course Number:
df_abdr_a06_it_enus

Expertise Level
Intermediate