Data Analysis Application
Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level
Overview/Description
While understanding data analysis key for data science, applying data analysis with different languages and applications is important for any data scientist. In this Skillsoft Aspire course, you will discover how to perform data analysis using Anaconda Python, R, and related analytical libraries and tools.

Expected Duration (hours)
1.4

Lesson Objectives Data Analysis Application

Course Overview
install and configure Python using Anaconda
install and configure R using Anaconda
use Jupyter notebook to explore data
read data from files and write data to files using the Python Pandas library
import and export data in R
recognize and deal with missing data in R
use the Dplyr package in R to transform data
work with the Python data analysis library NumPy
work with the Python data analysis library Pandas
perform exploratory data analysis in R using mean, median, and mode
use the Python data analysis library Pandas to analyze data
use the ggplot2 library to visualize data using R
use Pandas built-in data visualization tools to visualize data using Python
perform data analysis using R and Python

Course Number: it_dsdaapdj_01_enus

Expertise Level
Intermediate