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Pandas for Beginners

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Pandas for Beginners

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Pandas for Beginners

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Contents

  • 1. Course Introduction
    • Free Introduction to Pandas
      02m 31s
    • Free Pandas Installation
      04m 46s
  • 2. Pandas Objects
    • Introduction to Pandas Series
      09m 37s
    • Introduction to Pandas Data Frame
      09m 27s
    • Reading Data From Files
      10m 21s
    • Selection and Filtering
      10m 47s
  • 3. Data Pre-processing
    • Handling Missing Values and Duplicates
      09m 03s
    • DataFrame Manipulation
      09m 37s
    • Data Transformation
      08m 14s
  • 4. Data Processing
    • Processing Numerical Format
      11m 23s
    • Processing String Format
      09m 33s
    • Processing DateTime Format
      10m 54s
  • 5. Data Visualization
    • Visualize Your Data
      09m 46s
  • Description
  • Course Resources
  • Shortcode Not working

Pandas for Beginners

  • DURATION: 1.55 hours
  • VIDEOS: 13
  • LEVEL: Beginner

Pandas is one of the most popular Python libraries, used for data analysis and manipulation. It is commonly used in data science, machine learning, and artificial intelligence. If you are going to work in any of these areas, you will want to be familiar with Pandas. It’s easy to use, open-source, and will allow you to work with large quantities of data. It enables fast and efficient data manipulation, aggregation, and pivoting, flexible time series functionality, and more.

This course will introduce the learner to the basics of data analysis with the Pandas library. First, you’ll learn to work with two primary data structures in Pandas, Series and DataFrame. Then you will see how to read data from a file and explore input data using indexing and filtering. At this point, you are ready to start data preprocessing. You will see how to handle missing values and duplicate rows and to transform your data into a more efficient format. Next, you’ll discover how to manipulate the data and do some processing. Finally, you’ll delve into creating simple plots to visualize your data.

This course assumes no previous Pandas experience, but since Pandas is a package built for Python, you need to have a fundamental understanding of basic Python syntax.

This course will include:

  • An overview of Pandas
  • Installing Pandas on your computer
  • Using the two primary Pandas data structures, Series and DataFrame
  • Viewing data imported from an external source
  • Organizing input data using indexing and filtering
  • Using Pandas for data preprocessing
  • Addressing missing values and duplicate rows
  • Formatting your data most efficiently
  • Processing different data types
  • Data manipulation using string functions
  • Date and time formatting

Pandas for Beginners

The course comes with course files compressed into .zip format. You will need to download the .zip file to your PC or Mac (the files are not compatible with a mobile device) and unzip it. Once unzipped, all of the course files will reside in one folder.

Click on the below links to download the zip file.

  • Pandas for Beginners Course Files

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