Data Analysis with Pandas and Python / Paskhaver, Boris.

Format:

Video

Author/Creator:

Paskhaver, Boris, author.

Language:

English

Subjects (All):

Python (Computer program language).

Electronic data processing.

Information visualization.

Microsoft Excel (Computer file).

Genre:

Electronic videos.

Physical Description:

1 online resource (1 video file, approximately 18 hr., 47 min.)

Edition:

1st edition

Other Title:

Title on title screen: Data analysis with Pandas

Place of Publication:

Packt Publishing, 2017.

System Details:

video file

Summary:

Analyze data quickly and easily with Python's powerful panda library! All datasets included --- beginners welcome! About This Video To take your data analysis skills to the next level Introduces you to the popular Pandas library built on top of the Python programming language. Over the course of more than 19 hours, the author takes you on step-by-step through Pandas, from installation to visualization! We'll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. In Detail Welcome to the most comprehensive Pandas course available on Udemy! An excellent choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries in the world! Data Analysis with Pandas and Python offers 19+ hours of in-depth video tutorials on the most powerful data analysis toolkit available today. Lessons include: installing, sorting, filtering, grouping, aggregating, de-duplicating, pivoting, munging, deleting, merging, visualizing, and more! Why learn pandas? If you've spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you! Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language. Pandas is a powerhouse tool that allows you to do anything and everything with colossal data sets -- analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more! I call it "Excel on steroids"!

Participant:

Presenter, Boris Paskhaver.

Notes:

Online resource; Title from title screen (viewed October 18, 2017)

Title from resource description page (Safari, viewed November 9, 2017).

OCLC:

1011595249