Python - Using Pandas for Visualizations and Time-Series Data

Python 3
  • 13 Videos | 1h 33m 42s
  • Includes Assessment
  • Earns a Badge
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This 12-video Skillsoft Aspire course uses Python, the preferred programming language for data science, to explore data in Pandas with popular chart types such as the bar graph, histogram, pie chart, and box plot. Discover how to work with time series and string data in data sets. Pandas represents data in a tabular format which makes it easy to perform data manipulation, cleaning, and data exploration, all important parts of any data engineer's toolkit. You will learn how to use Matplotlib, a multiplatform data visualization library built on NumPy, the Python library that is used to work with multidimensional data. Learners will use Panda's features to work with specific kinds of data such as time series data and stream data. This course uses a real-world demonstration using Pandas to analyze stock market returns for Amazon. Finally, you will learn how to make data transformations to clean, format, and transform the data into a useful form for further analysis.

WHAT YOU WILL LEARN

  • load and explore the dataset used for visualization
    plot pie charts, box plots, and scatter plots using Pandas
    identify and work with time-series data
    calculate deltas and percentage returns in stock prices
    define time deltas and date ranges in Pandas
    clean missing data in mismatched DataFrames
  • identify string data stored in DataFrames
    perform advanced manipulations on string data
    change column values by applying functions
    transform data with user-defined functions
    transform all columns in a DataFrame
    recall how to plot visuals and transform column values

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 51s
    UP NEXT
  • Playable
    2. 
    Pandas and Matplotlib for Visualizations
    8m 27s
  • Locked
    3. 
    Pie Charts, Box Plots, and Scatter Plots
    8m 14s
  • Locked
    4. 
    Time-Series Data
    6m 26s
  • Locked
    5. 
    Deltas and Percentage Change Calculations
    6m 59s
  • Locked
    6. 
    Time Deltas and Date Ranges
    5m 28s
  • Locked
    7. 
    Mismatched DataFrames and Missing Data
    6m 28s
  • Locked
    8. 
    Working with String Data
    9m 34s
  • Locked
    9. 
    Advanced Operations on Strings
    7m 28s
  • Locked
    10. 
    Applying Functions on Series
    8m 39s
  • Locked
    11. 
    Transforming Data With User-Defined Functions
    9m 34s
  • Locked
    12. 
    Applying Functions on DataFrames
    4m 32s
  • Locked
    13. 
    Exercise: Plot Charts and Transform Column Values
    4m 32s

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