Overview
Apply Data Science and Artificial Intelligence techniques to extract and analyze your LinkedIn network
Syllabus
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- 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
Tags
On-Demand
