Course details

Data Analysis Application

Data Analysis Application


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

In this 14-video course, learners discover how to perform data analysis by using Anaconda Python R, and related analytical libraries and tools. Begin by learning how to install and configure Python with Anaconda, and how R is installed by using Anaconda. Jupyter Notebook will be launched to explore data. Next, learn about the import and export of data in Python, and how to read data from, write data to files with Python Pandas library, and import and export data in R. Learn to recognize and handle missing data in R and to use the Dplyr package to transform data in R. Then learners examine Python data analysis libraries NumPy and Pandas. Next, perform exploratory data analysis in R by using mean, median, and mode. Discover how to use the Python data analysis library Pandas to analyze data and how to use the ggplot2 library to visualize data with R. Learn about Pandas built-in data visualization tools to visualize data by using Python. The closing exercise deals with performing data analysis with R and Python.



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