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Data Science as a Field
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Data Science as a Field

Comprehensive introduction to data science fundamentals, processes, and career opportunities for aspiring professionals.

Course Cost

Free course

Intermediate

Skill Level

9 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Vital Skills for Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.3

5,506 Enrolled

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English

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olive-leaves-logo

4.3

5,506 Enrolled

olive-leaves-logo

English

What you'll learn

  • Understand the fundamentals of data science

  • Master the data science process and workflow

  • Create reproducible data analyses

  • Identify potential biases and ethical concerns

  • Develop professional communication skills

Skills you'll gain

Data Science
R Programming
Data Analysis
Statistics
Research Methods
Data Ethics
Communication Skills
Applied Mathematics
Computer Science
Information Science

This course includes:

3.05 Hours PreRecorded video

1 quiz

Access on Mobile, Tablet, Desktop

FullTime access

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course provides a thorough introduction to data science, designed for aspiring data scientists and professionals working with data scientists. The curriculum covers the evolution of data science, its current state, and future trends. Students learn about real-world applications through case studies from industry and academia, master the data science process, and develop essential skills for reproducible analysis. The course emphasizes practical application while addressing important topics like ethics, bias, and professional communication.

Introduction to Data Science: the Past, Present, and Future of a New Discipline

Module 1 · 1 Hours to complete

Data Science in Industry, Government, and Academia

Module 2 · 4 Hours to complete

Data Science Process and Pitfalls

Module 3 · 3 Hours to complete

Communicating Your Results

Module 4 · 1 Hours to complete

Fee Structure

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Data Science as a Field

Intermediate

Skill Level

9 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.