Python – Using Pandas for Visualizations and Time-Series Data

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 engineers 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 Pandas 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.