Understanding Ethical, Legal, and Security Issues in Data Science from Pluralsight

Data is being called the new oil, as you can generate so much value from it. However, if it's not properly secured, compliant and used ethically, it can quickly go from asset to liability. In this course, you'll learn how to manage data in Azure.

With all the scandals hitting the news related to privacy, security breaches and bias issues, understanding how to properly manage data has become an increasingly demanded skill on the business world. In this course, Understanding Ethical, Legal, and Security Issues in Data Science, you will gain the ability to handle Azure-hosted data in a secure, highly available and compliant way. First, you will learn about the Shared Responsibility Model in the cloud, and your duties on this model. Next, you will discover authentication and authorization options in Azure, as well as how to maintain the data highly available. Finally, you will explore how to handle legal, compliance and ethical aspects in Azure. When you’re finished with this course, you will have the skills and knowledge of Data Management needed to host your workloads in the Microsoft cloud.

What's inside

Syllabus

Course Overview

Authentication and Authorization Methods

Determining Data Availability

Assessing Ethical and Legal Data Compliance

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Emphasizes securing, complying, and ethically handling data, preparing learners for industry demands

Taught by industry expert instructor(s) Emilio Melo with likely significant industry and/or academic experience

Well-rounded course covers data management fundamentals, including authentication, availability, and compliance

Focused on Azure-hosted data management, which may limit its relevance for learners not using Azure

Provides a foundation for learners entering data-related roles or those looking to enhance their data management skills

May be less relevant for learners already proficient in data management and ethical, legal, and security issues or those not working with Azure

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Understanding Ethical, Legal, and Security Issues in Data Science with these activities:

Review Microsoft Azure Documentation

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Explore Microsoft Azure documentation to gain foundational knowledge and familiarize yourself with Azure services and concepts.

Browse courses on Microsoft Azure

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Visit the Microsoft Azure website
Browse and review Azure Documentation
Identify key Azure services and their capabilities

Create a Reference Repository of Azure Data Management Resources

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Compiling a repository of Azure data management resources will serve as a valuable reference throughout your Azure journey and beyond.

Browse courses on Azure Resources

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Identify and collect relevant resources
Organize resources in a logical manner
Document your compilation

Create an Azure Storage Account

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Hands-on experience with creating an Azure Storage Account will reinforce your understanding of storage concepts and prepare you for data management tasks.

Browse courses on Azure Storage

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Log in to the Azure portal
Create a new resource group
Configure and create an Azure Storage Account

Four other activities

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Attend an Azure Meetup

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Attending an Azure Meetup will connect you with industry professionals and provide valuable insights into real-world Azure implementations.

Browse courses on Networking

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Find a local Azure Meetup group
Attend a Meetup event
Network with other Azure enthusiasts

Discuss Azure Data Security Best Practices

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Engaging in peer discussions will allow you to share knowledge, learn from others' experiences, and develop a deeper understanding of Azure data security best practices.

Browse courses on Data Security

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Find a study group or discussion forum
Participate in discussions and share insights

Design a Data Management Plan

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Creating a data management plan will challenge you to think critically about data handling, ensuring that you develop a comprehensive approach to data management in Azure.

Browse courses on Data Management

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Identify data sources and types
Define data retention policies
Create a data security strategy
Document your plan

Participate in an Azure Data Challenge

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Participating in an Azure Data Challenge will test your skills, encourage creativity, and push you to explore advanced Azure data capabilities.

Browse courses on Data Analytics

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Find an Azure Data Challenge
Build a team or work individually
Develop and submit your solution

Career center

Learners who complete Understanding Ethical, Legal, and Security Issues in Data Science will develop knowledge and skills that may be useful to these careers:

Chief Privacy Officer (CPO)

Chief Privacy Officers (CPOs) are responsible for overseeing an organization's privacy program. They work with other stakeholders to develop and implement privacy policies and procedures, and to monitor and respond to privacy incidents. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become CPOs.

See salaries and explore the career path for Chief Privacy Officer (CPO)

Security Analyst

Security Analysts are responsible for identifying and mitigating security risks within an organization. They work with other stakeholders to develop and implement security policies and procedures, and to monitor and respond to security incidents. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become Security Analysts.

See salaries and explore the career path for Security Analyst

Compliance Officer

Compliance Officers are responsible for ensuring that an organization complies with all applicable laws and regulations. They work with other stakeholders to identify and assess compliance risks, and to develop and implement compliance policies and procedures. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become Compliance Officers.

See salaries and explore the career path for Compliance Officer

Cybersecurity Analyst

Cybersecurity Analysts are responsible for protecting an organization's computer systems and networks from cyberattacks. They work with other stakeholders to identify and assess cybersecurity risks, and to develop and implement cybersecurity strategies. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become Cybersecurity Analysts.

See salaries and explore the career path for Cybersecurity Analyst

Chief Information Security Officer (CISO)

Chief Information Security Officers (CISOs) are responsible for overseeing an organization's information security program. They work with other stakeholders to develop and implement information security policies and procedures, and to monitor and respond to security incidents. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become CISOs.

See salaries and explore the career path for Chief Information Security Officer (CISO)

Privacy Officer

Privacy Officers are responsible for developing and implementing privacy policies and procedures within an organization. They work with legal counsel and other stakeholders to ensure that the organization is compliant with all applicable privacy laws and regulations. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become Privacy Officers.

See salaries and explore the career path for Privacy Officer

Fraud Investigator

Fraud Investigators are responsible for investigating and preventing fraud within an organization. They work with other stakeholders to identify and assess fraud risks, and to develop and implement fraud prevention strategies. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become Fraud Investigators.

See salaries and explore the career path for Fraud Investigator

IT Auditor

IT Auditors are responsible for auditing an organization's IT systems to ensure that they are secure and compliant with all applicable laws and regulations. They work with other stakeholders to identify and assess IT risks, and to develop and implement IT audit procedures. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become IT Auditors.

See salaries and explore the career path for IT Auditor

Risk Manager

Risk Managers are responsible for identifying and mitigating risks within an organization. They work with other stakeholders to assess risks, develop and implement risk mitigation strategies, and monitor and respond to risk events. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become Risk Managers.

See salaries and explore the career path for Risk Manager

Machine Learning Engineer

Machine Learning Engineers build and deploy machine learning models to solve complex business problems. They work with data scientists and other stakeholders to identify opportunities for applying machine learning, and then design and implement the necessary models. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become Machine Learning Engineers.

See salaries and explore the career path for Machine Learning Engineer

Data Architect

Data Architects design and manage the architecture of an organization's data systems. They work with stakeholders to identify data requirements, and then design and implement the necessary systems to meet those requirements. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become Data Architects.

See salaries and explore the career path for Data Architect

Data Scientist

Data Scientists use scientific methods to extract knowledge from data, often using complex algorithms and advanced statistical techniques. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become Data Scientists.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers are responsible for designing, building, and maintaining the infrastructure that stores and processes data. They work with data scientists and other stakeholders to ensure that data is collected, stored, and used effectively. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become Data Engineers.

See salaries and explore the career path for Data Engineer

Data Analyst

Data Analysts are skilled professionals who bridge business and information technology (IT) using data-driven insights. They analyze and interpret both structured and unstructured data to improve business processes, understand customer behavior, and identify new opportunities for growth. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who want to enter the field of data analysis.

See salaries and explore the career path for Data Analyst

Database Administrator

Database Administrators (DBAs) are responsible for the design, implementation, maintenance, and security of an organization's databases. They ensure that data is stored, organized, and managed efficiently, and that it is always available and secure. This course, with its focus on understanding ethical, legal, and security issues in data science, may be useful for those who wish to become Database Administrators.

See salaries and explore the career path for Database Administrator

Understanding Ethical, Legal, and Security Issues in Data Science

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