Applied Data Analysis

Big Data    |    Intermediate
  • 15 Videos | 1h 30m 45s
  • Includes Assessment
  • Earns a Badge
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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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

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