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[Udemy] Essential Guide to Python Pandas

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What you’ll learn

  • Describe the Anatomy and principal elements of Pandas Knowledge Buildings. Perceive Pandas Knowledge Varieties and the right use case for every sort.
  • Implement a number of strategies to get information into and from Pandas DataFrames. These strategies embrace Python Native Knowledge Buildings, Tabular information information, API queries and so on
  • Describe any data inside a Pandas DataFrame. It will enable you to to determine information issues corresponding to having lacking values or utilizing incorrect information varieties
  • Carry out Knowledge manipulation and cleansing. This half contains fixing information varieties, dealing with lacking values, eradicating duplicate information, and lots of extra

Requirements

  • To take one of the best out of this course, you will have a minimal working information about Python programming language and are comfy working information science paperwork utilizing Jupyter pocket book

Description

Welcome to our Pandas crash course! This course is designed to give you a sensible information to utilizing Pandas, the favored information manipulation library in Python. We have included real-life examples and reusable code snippets to enable you to shortly apply what you study to your individual information evaluation tasks.

All through this course, you’ll learn the way to:

  • Describe the Anatomy of Pandas Knowledge Buildings. This contains Pandas DataFrames, Sequence, and Indices.
  • Implement a number of strategies to get information into and from Pandas DataFrames. These strategies embrace Python Native Knowledge Buildings,  Tabular information information, API queries and JSON format, net scraping, and extra.
  • Describe any data inside a Pandas DataFrame. It will enable you to to determine information issues corresponding to having lacking values or utilizing incorrect information varieties.
  • Perceive Pandas Knowledge Varieties and the right use case for every sort.
  • Carry out Knowledge manipulation and cleansing. This half contains fixing information varieties, dealing with lacking values, eradicating duplicate information, and lots of extra.
  • Merge & Be part of a number of datasets into Pandas DataFrames
  • Carry out Knowledge Summarization & Aggregation inside any DataFrame
  • Create several types of Knowledge Visualization
  • Replace Pandas Styling Settings
  • Conduct a Knowledge Evaluation Challenge utilizing Pandas library to acquire and examine COVID-19 an infection, and the resultant lockdown in several international locations.

As well as to the course supplies, you will even have free entry to a Jupyter Pocket book with the entire code examples lined on this course, in addition to a free e-book in PDF format. By the top of this course, you will have a stable understanding of how to use Pandas to carry out information manipulation duties and analyze information.

Who this course is for:

  • This course is for aspiring information professionals and Python builders who need to learn the way to course of information in Pandas.

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