Having Fun with Python: Originating and Processing Data for Innovative Visualization and Analytics
Offered By: Data Science Festival via YouTube
Course Description
Overview
Explore how Python can transform curious questions into full-fledged data visualization projects in this engaging conference talk. Learn to extract data from web sources through screen scraping and APIs, clean textual data, and conduct exploratory data analysis using Python's powerful libraries. Discover how to answer intriguing questions like tracking the shift from "Coronavirus" to "COVID" in public discourse, analyzing political trends, and investigating job tenure patterns for data scientists. Gain insights into turning everyday wonderings into data-driven insights through practical Python applications. This 41-minute presentation, delivered by Ned Stratton, Data Analyst at UCOVI/Action BI Ltd, was part of the 2023 Oktoberfest Data Science Festival in London and offers a rapid overview of Python's capabilities in transforming raw data into meaningful visualizations and analytics.
Syllabus
Having fun with Python originating and processing data for innovative viz and analytics
Taught by
Data Science Festival
Related Courses
Data Wrangling with MongoDBMongoDB via Udacity Getting and Cleaning Data
Johns Hopkins University via Coursera 用Python玩转数据 Data Processing Using Python
Nanjing University via Coursera Introduction to NodeJS
Microsoft via edX 用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3))
National Taiwan University via Coursera