Data Serialization and Representation Online Course

Data Serialization and Representation Online Course

Data Serialization and Representation Online Course

This course equips you with the skills to handle essential data formats used in modern data workflows. You’ll start with CSV files, learning to process them using Python’s csv module along with pandas and tablib. Next, you’ll dive into JSON, exploring its structure and advanced handling with libraries like simplejson and ujson, before moving on to YAML, XML, and HTML. With tools such as PyYAML, lxml, xmltodict, and BeautifulSoup, you’ll gain hands-on experience working across multiple formats. By the end, you’ll be confident in managing and manipulating diverse data types efficiently for real-world applications.

Who should take the course?

This course is ideal for software developers, data engineers, analysts, and students who want to understand how to efficiently store, transfer, and represent data across different systems. It’s well-suited for those with basic programming knowledge who are looking to work with formats like JSON, XML, CSV, and binary serialization for real-world applications. Whether you’re building APIs, working with databases, or handling large datasets, this course will give you the practical skills to manage data serialization and representation effectively.

What you will learn

  • Explore and manipulate CSV files using the csv module, pandas, and tablib.
  • Understand and manage JSON files with json, pandas, simplejson, and ujson.
  • Work with YAML files using PyYAML and tablib.
  • Handle XML and HTML files with xml, lxml, xmltodict, and BeautifulSoup.

Course Outline

CSV

  • Overview
  • What is CSV
  • Explore CSV Files
  • Use csv Module
  • Use csv Module Part 2
  • Use the pandas Package
  • Use the tablib Package

JSON

  • What is JSON
  • Explore JSON Files
  • JSON: Use the json Module
  • JSON: Use the pandas Package
  • Use the simplejson and ujson Packages
  • JSON: Use the tablib Package

YAML

  • What is YAML
  • Explore YAML Files
  • Use the PyYAML Package
  • YAML: Use the tablib Package

XML and HTML

  • What is XML
  • Explore XML Files
  • What is HTML
  • Explore HTML Files
  • Use the xml Module
  • Use the lxml Package
  • Use the xmltodict Package
  • Use the BeautifulSoup Package

 

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