What You Need to Know Before
You Start

Starts 3 July 2025 21:16

Ends 3 July 2025

00 Days
00 Hours
00 Minutes
00 Seconds
course image

Mining and Analyzing LinkedIn Data

Apply Data Science and Artificial Intelligence techniques to extract and analyze your LinkedIn network
via Udemy

4123 Courses


6 hours 20 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Paid Course

Optional upgrade avallable

Overview

LinkedIn is a social network focused on professional experience in order to generate connections and relationships between professionals from different areas. Professionals can provide profissional skills and search for jobs by connecting with people around the world.

For example, if you would like to work with Data Science you can connect with companies and people who work in this field, increasing your chances of getting a job. On the other hand, companies are able to search for candidates according to the curriculum and skills provided by users.

In 2017, LinkedIn established itself as the largest business platform and an important strategic tool for both professionals and companies.

Syllabus

  • Course Introduction
  • Overview of LinkedIn as a platform
    Importance of LinkedIn data for professionals and companies
    Course objectives and outcomes
  • LinkedIn Data Collection
  • Understanding LinkedIn's data structure
    Legal and ethical considerations
    Tools and APIs for data collection
    Extracting data using LinkedIn API
  • Data Processing and Cleaning
  • Handling data formats and structures
    Cleaning and preprocessing LinkedIn data
    Handling missing data and outliers
  • Analyzing LinkedIn Data
  • Exploratory Data Analysis (EDA)
    Identifying trends and patterns in data
    Visualizing LinkedIn data insights
  • Advanced Analytical Techniques
  • Network analysis in LinkedIn data
    Natural Language Processing (NLP) on profile content
    Machine learning models for recommendation systems
  • Applications and Case Studies
  • Talent acquisition and job market analysis
    Personal branding and career insights
    Industry case studies
  • Tools and Technology
  • Overview of programming tools: Python, R, etc.
    Libraries and frameworks for data mining and analysis
    Visualization tools and techniques
  • Project and Assessment
  • Project proposal and development
    Hands-on project: Mining and analyzing LinkedIn data
    Final presentation and report
  • Conclusion and Future Directions
  • Summary of key learnings
    Future trends in LinkedIn and professional networking data
    Opportunities for further learning and research

Taught by

Jones Granatyr and AI Expert Academy


Subjects

Data Science