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Data Science & Analytics Career Paths & Certifications: First Steps

via LinkedIn Learning

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Overview

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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