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Master the Pandas Library in Python Programming

This free online course expands your knowledge of the Pandas library in Python programming and heightens your expertise.

Publisher: Kelvin Fosu
Are you interested in automation and would like to delve deeper into the Pandas library in Python programming? With this free online course, you will learn about the various uses of Pandas. Equipped with Python programming language, we will introduce you to the multiple Pandas methods, Pandas profiling and Pandas dataFrame. Get into the new world of automation with proven expertise and boost your career with this easy to follow course.
Master the Pandas Library in Python Programming
  • Duration

    1.5-3 Hours
  • Students

    36
  • Accreditation

    CPD

Description

Modules

Outcome

Certification

View course modules

Description

There are various time-consuming, tedious and repetitive data-related tasks, including data cleansing, data normalization, and data visualization, to name a few. Thanks to Pandas, such tasks can be carried out fairly swiftly, with some automation. In this course, you will be taught how to master the Pandas library in Python programming. As you will learn, Pandas has various uses, ranging from exploring a dataset stored in your computer to extracting it into a dataFrame, e.g. a table, for instance. With Pandas, you can calculate statistics and perform calculations such as the average, the median, the standard variation, and the min and the max of each column of the table. This course will highlight how one column of the table relates to another column of the same table. With Pandas, it is also possible to clean the data by removing missing values or even using some criteria and filtering rows and columns.

As you continue, you will learn an essential fact about Pandas. The cleaned data is stored and transformed into a comma-separated value, another file, or another database. All of this is possible because Pandas is an open data analysis and manipulation tool. Furthermore, Pandas is also fast, powerful, and flexible, leading to unescapable automation. The basis of automation in Pandas is Python programming. This course is about mastering the Pandas library in Python programming. Why is Python used for Pandas library? Python programming is a unique programming language that allows you to work quickly and integrate systems more efficiently. You use Python programming in web development, GUI development and software development. In taking this course, you need to have some experience using Python. Without having a good command of this programming language, you should at least know the basics, including tuples, dictionaries and lists. Knowing functions and iterations are highly recommended, along with familiarity with NumPy.

Pandas provide numerous methods that tremendously help in expediting the data analysis and the exploration process. This course covers many of them, some of which are Pandas profiling and Pandas dataFrame. As an open-source Python module, Pandas profiling allows you to carry out exploratory data analysis following a few lines of code. This contributes to saving us the bulk work of visualizing or understanding the relative distribution of each variable. Another prominent Pandas method is Pandas dataFrame. Like a spreadsheet in Excel, a dataFrame is a data structure consisting of columns and rows. You commonly use DataFrames in data science, particularly in machine learning. This course will undoubtedly be helpful to students that have an excellent command of Python and are interested in data science. In addition, professionals specializing in data science management with sound knowledge of Python will benefit from this course.

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