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LinkedIn Learning

Data Science & Analytics Career Paths & Certifications: First Steps

via LinkedIn Learning

Overview

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Learn about the jobs and most valuable certifications available in big data, data analytics, and data science.

Syllabus

Introduction
  • Welcome
  • What you should know before watching this course
1. Define Data Science
  • Introduction
  • A brief history
  • Fundamentals
  • Big data analytics
  • Enabling technologies
2. Marketplace
  • Introduction to marketplace
  • Fraud detection
  • Social media analytics
  • Disease control
  • Dating services
  • Simulations
  • Climate research
  • Network security
3. Skills
  • Required skills
  • Data mining and analytics
  • Machine learning
  • Natural language processing (NLP)
  • Statistics
  • Visualization
4. Roles
  • Introduction to roles
  • Data scientist or engineer
  • Business intelligence architect
  • Machine learning scientist
  • Business analytics specialist
  • Data visualization developer
  • Salaries
5. Certifications
  • Introduction to certifications
  • MCSE Business Intelligence
  • Cloudera Certified Professional (CCP) Data Scientist
  • EMC Data Science Associate (EMCDSA)
  • Oracle Business Intelligence certificate
  • SAS Certified Big Data Professional and Certified Data Scientist
  • Certified Analytics Professional
6. Future of Data Science
  • Introduction to the future of data science
  • Emerging technologies
  • Emerging careers
  • Ethics
  • Professional development
Conclusion
  • Next steps and additional resources

Taught by

Jungwoo Ryoo

Reviews

4.6 rating at LinkedIn Learning based on 1071 ratings

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