Advanced Data Analysis and Visualization with Pandas

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Course Overview

What You'll Learn

  • - You'll master techniques like using the dt attribute and DateOffset objects for arithmetic operations and timedeltas.
  • - Learn essential input-output operations, including exporting DataFrames to CSV and Excel files using openpyxl, and seamless file imports.
  • Ideal for data analysts, scientists, and Python enthusiasts with intermediate to advanced Pandas skills, this course enriches data workflows and visualization capabilities.

This advanced Pandas course delves deep into date-time manipulation, covering Timestamps, DatetimeIndex objects, and pd.date_range for effective time series handling. - You'll master techniques like using the dt attribute and DateOffset objects for arithmetic operations and timedeltas. - Learn essential input-output operations, including exporting DataFrames to CSV and Excel files using openpyxl, and seamless file imports. - Enhance data presentation with Matplotlib for basic visualizations, customizing aesthetics with templates, and creating bar and pie charts. Ideal for data analysts, scientists, and Python enthusiasts with intermediate to advanced Pandas skills, this course enriches data workflows and visualization capabilities.

Course FAQs

Is this an accredited online course?

Accreditation for 'Advanced Data Analysis and Visualization with Pandas' is determined by the provider, Packt. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.

Can this course be used for continuing education credits?

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How do I enroll in this online school program?

To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Advanced Data Analysis and Visualization with Pandas' on the Packt online class platform, where you can complete your registration.