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Data Security Specialist

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Salaries for Data Security Specialist

City
Median
New York
$122,000
San Francisco
$175,000
Seattle
$157,000
See all salaries
City
Median
New York
$122,000
San Francisco
$175,000
Seattle
$157,000
Austin
$130,000
Toronto
$124,000
London
£78,000
Paris
€55,000
Berlin
€71,000
Tel Aviv
₪165,000
Singapore
S$125,000
Beijing
¥210,000
Shanghai
¥467,000
Bengalaru
₹812,000
Delhi
₹540,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Data Security Specialist

Take the first step.
We've curated 11 courses to help you on your path to Data Security Specialist. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We haven't picked any books for this reading list yet.
Classic textbook on public key cryptography, providing a deep dive into the theory and practice of public key encryption algorithms.
Provides a comprehensive introduction to public key cryptography, covering both the theory and practice of public key encryption algorithms.
Comprehensive reference on applied cryptography, including a detailed discussion of public key encryption algorithms.
Provides a practical guide to data provenance and data lineage. It covers the different technologies that can be used to track data provenance, and it provides guidance on how to implement these technologies in real-world systems. The author of this book was the winner of the 2014 ACM SIGMOD Edgar F. Codd Innovations Award.
Provides a practical guide to implementing and managing a public key infrastructure (PKI), which is essential for secure public key encryption.
Covers the challenges and opportunities of data provenance for big data. It provides guidance on how to design and implement data provenance systems for big data applications.
Provides an overview of quantum computing, including a discussion of its potential impact on public key encryption algorithms.
Provides a comprehensive overview of cryptography and network security, including a discussion of public key encryption algorithms.
Covers the challenges and opportunities of data provenance for data science. It provides guidance on how to design and implement data provenance systems for data science applications.
Covers the challenges and opportunities of data provenance for cybersecurity. It provides guidance on how to design and implement data provenance systems for cybersecurity applications.
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