Course Description
For data to be useful and meaningful, it must be curated and refined. Data Wrangling with Python teaches you the core ideas behind these processes and equips you with knowledge of the most popular tools and techniques in the domain.
Data Wrangling with Python Dec 2025Data Wrangling with Python
Lists, Sets, Strings, Tuples, and Dictionaries
Advanced Data Structures
Basic File Operations in Python
NumPy Arrays
Pandas DataFrames
Statistics and Visualization with NumPy and Pandas
Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame
Subsetting, Filtering, and Grouping
Detecting Outliers and Handling Missing Values
Concatenating, Merging, and Joining
Useful Methods of Pandas
Reading Data from Different Text-Based (and Non-Text-Based) Sources
Introduction to BeautifulSoup4 and Web Page Parsing
Advanced List Comprehension and the zip Function
Data Formatting
Basics of Web Scraping and BeautifulSoup libraries
Reading Data from XML
Refresher of RDBMS and SQL
Using an RDBMS (MySQL/PostgreSQL/SQLite)
Applying Your Knowledge to a Real-life Data Wrangling Task
An Extension to Data Wrangling
PYT100 - Python - Introduction
PYT200 - Python Advanced
PYT300 - Python Programming for Data Analysis
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