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Data Wrangling with Python

In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.

This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets.

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Learning Objectives

By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently.

 

Course Details

Course Outline

1 - Introduction to Data Structure using Python
  • Python for Data Wrangling
  • Lists, Sets, Strings, Tuples, and Dictionaries
    • 2 - Advanced Operations on Built-In Data Structure
  • Advanced Data Structures
  • Basic File Operations in Python
    • 3 - Introduction to NumPy, Pandas, and Matplotlib
  • NumPy Arrays
  • Pandas DataFrames
  • Statistics and Visualization with NumPy and Pandas
  • Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame
    • 4 - Deep Dive into Data Wrangling with Python
  • Subsetting, Filtering, and Grouping
  • Detecting Outliers and Handling Missing Values
  • Concatenating, Merging, and Joining
  • Useful Methods of Pandas
    • 5 - Get Comfortable with a Different Kind of Data Sources
  • Reading Data from Different Text-Based (and Non-Text-Based) Sources
  • Introduction to BeautifulSoup4 and Web Page Parsing
    • 6 - Learning the Hidden Secrets of Data Wrangling
  • Advanced List Comprehension and the zip Function
  • Data Formatting
    • 7 - Advanced Web Scraping and Data Gathering
  • Basics of Web Scraping and BeautifulSoup libraries
  • Reading Data from XML
    • 8 - RDBMS and SQL
  • Refresher of RDBMS and SQL
  • Using an RDBMS (MySQL/PostgreSQL/SQLite)
    • 9 - Application in real life and Conclusion of course
  • Applying Your Knowledge to a Real-life Data Wrangling Task
  • An Extension to Data Wrangling

    • Actual course outline may vary depending on offering center. Contact your sales representative for more information.

    Who is it For?

    Target Audience

    Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context.

    Data Wrangling with Python

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    Course Length : 3 Days

    There are currently no scheduled dates for this course. Please contact us for more information.

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