Applied Data Analysis

Big Data    |    Intermediate
  • 15 videos | 1h 24m 15s
  • 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

  • Playable
    1.  Course Overview
    1m 35s
  • Playable
    2.  Install and Configure Anaconda Python
    4m 46s
    During this video, you will learn how to install and configure Python using Anaconda. FREE ACCESS
  • Locked
    3.  Install R Using Anaconda
    2m 3s
    In this video, you will install and configure R using Anaconda. FREE ACCESS
  • Locked
    4.  Use Jupyter Notebook
    6m 3s
    In this video, you will learn how to use Jupyter notebook to explore data. FREE ACCESS
  • Locked
    5.  Import and Export Data in Python
    5m 9s
    In this video, you will learn how to read data from files and write data to files using the Python Pandas library. FREE ACCESS
  • Locked
    6.  Import and Export Data in R
    5m 18s
    This video will show you how to import and export data in R. FREE ACCESS
  • Locked
    7.  Deal with Missing Data in R
    5m 16s
    Upon completion of this video, you will be able to recognize and deal with missing data in R. FREE ACCESS
  • Locked
    8.  Transform Data in R
    8m 3s
    In this video, you will use the Dplyr package in R to transform data. FREE ACCESS
  • Locked
    9.  Work with Numpy
    7m 14s
    In this video, learn how to work with the Python data analysis library, NumPy. FREE ACCESS
  • Locked
    10.  Work with Pandas
    8m 11s
    Find out how to work with the Python data analysis library, Pandas. FREE ACCESS
  • Locked
    11.  Mean, Median, and Mode in R
    4m 53s
    To perform exploratory data analysis in R, use the mean, median, and mode functions. FREE ACCESS
  • Locked
    12.  Analyze Data with Pandas
    5m 19s
    In this video, you will use the Python data analysis library Pandas to analyze data. FREE ACCESS
  • Locked
    13.  Plot Data in R
    5m 41s
    During this video, you will learn how to use the ggplot2 library to visualize data using R. FREE ACCESS
  • Locked
    14.  Visualize Data in Python
    7m 45s
    In this video, you will learn how to use Pandas' built-in data visualization tools to visualize data using Python. FREE ACCESS
  • Locked
    15.  Exercise: Perform Data Analysis
    7m
    Learn how to perform data analysis using R and Python. FREE ACCESS

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