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Data Science & Analytics Career Paths & Certifications: First Steps

Offered By: LinkedIn Learning

Tags

Data Science Courses Statistics & Probability Courses Career Development Courses Big Data Courses Data Mining Courses Machine Learning Courses Certifications Courses Data Analytics Courses

Course Description

Overview

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
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
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
  • Azure Data Scientist Associate certification
  • Cloudera Data Platform certification
  • EMC Data Science Associate
  • 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

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