Data Science and Analytics Career Paths and Certifications: First Steps

Offered By: LinkedIn Learning

Tags

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