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LinkedIn Learning

Data Science and Analytics Career Paths and Certifications: First Steps

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Overview

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Learn about the history, roles, career paths, and industry-recognized certifications in the field of data science and analytics.

Syllabus

Introduction
  • An expanding universe of data science career options
  • What you should know
1. Defining Data Science
  • Introduction
  • A brief history
  • Fundamentals
  • Big data analytics
  • Enabling technologies
  • Artificial intelligence (AI) and data science
2. Marketplaces
  • Introduction to marketplaces
  • 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
  • Statistics
  • Visualization
  • Large language models (LLMs)
4. Roles
  • Introduction to roles
  • Data scientist or engineer
  • Business intelligence architect
  • Machine learning scientist
  • Business analytics specialist
  • Data visualization developer
  • AI engineer
  • Salaries
5. Certifications
  • Introduction to certifications
  • Azure Data Scientist Associate certification
  • Cloudera Data Platform certification
  • Dell Data Science track
  • AWS and Google certification
  • SAS big data and data scientist certifications
  • Certified Analytics Professional (CAP)
6. Future of Data Science
  • Introduction to the future of data science
  • Emerging technologies
  • Emerging careers
  • Ethics
  • Professional development
7. Voices from the Field
  • Introduction to voices from the field
  • Senior data scientist
  • College senior
  • Graduate student
  • Employer
  • How to start
Conclusion
  • Continue your data science and analytics career journey

Taught by

Jungwoo Ryoo

Reviews

4.7 rating at LinkedIn Learning based on 1243 ratings

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