Number of Videos: 0.5 hours – 10 lessons
Author: Mikhail Klassen
User Level: Beginner

LinkedIn is the largest professional social network in the world and is used by millions of job seekers, employers, recruiters, and other professionals. How can we mine this data to gain deeper insights into our professional networks?

Based on content from Matthew Russell’s book “Mining the Social Web” (O’Reilly), this course shows you how to access and download LinkedIn data; as well as how to perform clustering analysis and geographic analysis, and how to visualize data in new and informative ways. The course works best for learners with some basic Python experience.

Understand how to access LinkedIn using the LinkedIn API and PythonLearn how to download your own LinkedIn data and access your connectionsExplore techniques for dealing with messy data like similar titles or job descriptionsDiscover methods for clustering your contacts into similar jobs or grouping them by geographyLean how to produce intuitive data visualizations and output geographic data to Google Earth

After completing his PhD in astrophysics, Mikhail Klassen transitioned to data science and refined his expertise in data mining, data analysis, and machine learning. He’s now the Chief Data Scientist for Paladin: Paradigm Knowledge Solutions in Montreal, where he combines data mining and artificial intelligence to deliver personalized training for the aerospace industry.

PC Minimum System Requirements:PC Recommended System Requirements:Processor:   AnyRAM:   AnyHard Disk:   1GBVideo Card:   AnySupported OS:   Windows 10, Windows 8.1, Windows 8, Windows 7, Windows Vista, Windows XP, Windows 2000, Windows

Product Features

• Learn Mining the Social Web – LinkedIn from a professional trainer on your own time at your own desk.
• This visual training method offers users increased retention and accelerated learning.
• Breaks even the most complex applications down into simplistic steps
• Comes with Extensive Working Files