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Recommended Path: Data Scientist
Recommended Path: Data Scientist

This article describes our Recommended Data Scientist Path.

Rachel Yonan avatar
Written by Rachel Yonan
Updated over a week ago

Foundational: Data Scientist

Foundational principles of application security for data scientists. (Video Only)

Total Learning Path Duration: 4 hours and 14 minutes

Introduction to Security Journey

Introduction to Security

Core Security Concepts

Attacks

Attackers

Threat Landscape

The Hacker Mindset

Social Engineering

Security Myths

Security Culture and Mindset

Data Breaches

Security Business Case

Prioritizing Security

Translating Security

Risk Managment for AppSec

Privacy and Customer Data Protection

Dealing with Vulnerabilities

Security at Home

Tips for Secure Remote Work

OWASP Universe

Knowledge Sources

Security Requirements

Secure Development Lifecycle

Six Foundational Truths of Application Security

Intermediate: Data Scientist

Technical deep dive into the threats and security controls relevant to data scientist (Video + Hands On)

Total Learning Path Duration: 4 hours and 53 minutes

Secure Design Principles | Part 1

Secure Design Principles | Part 2

Threat Modeling Basics

Threat Modeling Process

Threat Modeling (HackEDU)

Input Validation

Output Encoding

Authentication Theory

Authorization Theory

Logging and Exception Handeling

Cryptography

Software Supply Chain

OWASP Top 10 | Part 1

OWASP Top 10 | Part 2

OWASP Top 10 | Part 3

Injection: SQL and Command

Cross-Site Scripting (XSS) | Part 1

Cross-Site Scripting (XSS) | Part 2

Static Application Security Testing (SAST)

Static Application Security Testing (SAST) (HackEDU)

Dynamic Application Security Testing (DAST)

Dynamic Application Security Testing (DAST) (HackEDU)

Vulnerability Scanning

Penetration Testing and Bug Bounty

Advanced: R (Data Scientist)

Secure application design, secure coding, and specialized R security topics, ranging from the R threat landscape, best practices, and securing shiny apps and servers.(Video + Hands On)

Total Learning Path Duration: 5 hours and 23 minutes

Intro to Secure Development

Designing a Secure App or Product

Secure Design Principles | Part 1

Secure Design Principles | Part 2

Intro to Secure Coding

Producing Clean, Maintainable, and Secure Code

Secure Coding Best Practices: Part 1

Secure Coding Best Practices: Part 2

Securing the Development Environment

Protecting your Code Repository

Secure the Release

Secure Code Review | Part 1

Secure Code Review | Part 2

Intro to R Security

The R Threat Landscape

Secure Coding with R | Part 1

Secure Coding with R | Part 2

Secure Coding with R | Part 3

Third-Party R Packages

Security Best Practices for R | Part 1

Security Best Practices for R | Part 2

Securing Shiny Apps | Part 1

Securing Shiny Apps | Part 2

Securing Shiny Servers

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