Applied Data Science Ethics faq

learnersLearners: 57
instructor Instructor: / instructor-icon
duration Duration: 5.00 duration-icon

Data Science Ethics has become a major focus due to the potential for machine learning algorithms and big data AI models to cause harm. Reports of credit algorithms discriminating against certain groups have highlighted the need for ethical considerations when dealing with data.

ADVERTISEMENT

Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Edx

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

Self paced

Course Overview

❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course, Applied Data Science Ethics, provides guidance and practical tools to build better models, do better data analysis and avoid potential ethical issues. Participants will learn about tools for model interpretability, global versus local model interpretability methods, metrics for model fairness, auditing models for bias and fairness, and remedies for biased models. Real world problems and datasets, a framework data scientists can use to develop their projects, and an audit process to follow in reviewing them will be provided. Case studies with ethical considerations, along with Python code, will also be included.

[Applications]
Upon completion of this course, participants are encouraged to apply the knowledge and skills acquired to their own data science projects. They should use the tools and techniques learned to ensure that their models are interpretable, fair, and free from bias. Additionally, they should use the audit process to review their models for any potential ethical issues. Finally, they should be aware of the remedies available to address any issues that may arise.

[Career Paths]
The career paths recommended to learners of this course are:

1. Data Scientist: Data Scientists are responsible for analyzing large datasets to uncover trends and insights, and developing models to predict outcomes. They must be able to interpret and communicate their findings to stakeholders, and be knowledgeable about ethical considerations when working with data. The demand for Data Scientists is growing rapidly, and the field is expected to continue to expand in the coming years.

2. Data Ethics Consultant: Data Ethics Consultants are responsible for advising organizations on ethical considerations when working with data. They must be knowledgeable about data science principles and be able to identify potential ethical issues in data-driven projects. The demand for Data Ethics Consultants is increasing as organizations become more aware of the potential risks associated with data-driven projects.

3. Data Governance Analyst: Data Governance Analysts are responsible for ensuring that data is collected, stored, and used in a secure and ethical manner. They must be knowledgeable about data privacy laws and regulations, and be able to identify potential risks associated with data-driven projects. The demand for Data Governance Analysts is increasing as organizations become more aware of the potential risks associated with data-driven projects.

4. Machine Learning Engineer: Machine Learning Engineers are responsible for developing and deploying machine learning models. They must be knowledgeable about data science principles and be able to identify potential ethical issues in data-driven projects. The demand for Machine Learning Engineers is increasing as organizations become more aware of the potential benefits of machine learning.

[Education Paths]
Recommended degree paths:
1. Bachelor of Science in Data Science: This degree program provides students with a comprehensive understanding of data science principles and techniques, including data analysis, machine learning, and data visualization. Students will learn how to use data to solve real-world problems and develop the skills to become a successful data scientist. The degree also covers topics such as ethics, privacy, and security.

2. Master of Science in Artificial Intelligence: This degree program provides students with a comprehensive understanding of artificial intelligence principles and techniques, including machine learning, natural language processing, and robotics. Students will learn how to use AI to solve real-world problems and develop the skills to become a successful AI engineer. The degree also covers topics such as ethics, privacy, and security.

3. Doctor of Philosophy in Data Science: This degree program provides students with a comprehensive understanding of data science principles and techniques, including data analysis, machine learning, and data visualization. Students will learn how to use data to solve real-world problems and develop the skills to become a successful data scientist. The degree also covers topics such as ethics, privacy, and security.

4. Master of Science in Data Ethics: This degree program provides students with a comprehensive understanding of data ethics principles and techniques, including ethical decision-making, data privacy, and data security. Students will learn how to use data to make ethical decisions and develop the skills to become a successful data ethicist. The degree also covers topics such as machine learning, artificial intelligence, and data visualization.

The development trends for these degree paths are focused on the ethical implications of data science and artificial intelligence. As the use of data and AI increases, so does the need for data scientists and AI engineers to understand the ethical implications of their work. As a result, universities are offering more courses and degree programs focused on data ethics, as well as incorporating ethical considerations into existing data science and AI courses.

Course Provider

Provider Edx's Stats at AZClass

Discussion and Reviews

0.0   (Based on 0 reviews)

Start your review of Applied Data Science Ethics

Quiz

submit successSubmitted Sucessfully

1. What is the main focus of this course?

2. What are some of the topics covered in this course?

3. What is the purpose of this course?

4. The course offers _________ with ethical considerations, along with Python code.

Correct Answer: real world problems and datasets

close
part

faq FAQ for Ethics Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: Can I take this course for free?

Yes, this is a free course offered by Edx, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 57 people have participated in this course. The duration of this course is 5.00 hour(s). Please arrange it according to your own time.

Q5: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Edx's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Edx may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Ethics courses and certifications, our extensive collection at azclass.net will help you.

close

To provide you with the best possible user experience, we use cookies. By clicking 'accept', you consent to the use of cookies in accordance with our Privacy Policy.