Description

Data Wrangling with Python Training:(LEVEL: INTERMEDIATE)

You will learn:

• Use various sources to extract data.
• Use Python tricks to transform data into meaningful and useful data sets.
• Effectively clean up, transform and format data.

Who Should Participate:

• Using Python for Data Organization provides a quick and convenient approach to the most important data analysis tools in the shortest possible time. It contains multiple activities focused on real life business scenarios for you to practice and apply your new skills in a highly relevant environment. Prerequisites requires a working knowledge of the Python language and familiarity with the Jupyter Notebook platform.

Topics Covered:

• Lists, Sets, Strings, Tuples, and Dictionaries
• Advanced Data Structures
• Advanced List Comprehension and the zip Function
• NumPy Arrays
• Pandas DataFrames
• Statistics and Visualisation with NumPy and Pandas
• Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame
• Detecting Outliers and Handling Missing Values
• Concatenating, Merging, and Joining
• Basic File Operations in Python
• Reading Data from Different Text-Based (and Non-Text-Based) Sources
• Introduction to BeautifulSoup4 and Web Page Parsing
• Useful Methods of Pandas
• Data Formatting
• Subsetting, Filtering, and Grouping
• Basics of Web Scraping and BeautifulSoup libraries
• Reading Data from XML

Frequently asked questions:

Can I take this course online?
Yes