• Online, Self-Paced
Course Description

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.

Learning Objectives

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.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Data Administration