Data Science as a Field
Comprehensive introduction to data science fundamentals, processes, and career opportunities for aspiring professionals.
Comprehensive introduction to data science fundamentals, processes, and career opportunities for aspiring professionals.
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.
4.3
(33 ratings)
5,506 already enrolled
Instructors:
English
Powered by
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
This course includes:
3.05 Hours PreRecorded video
1 quiz
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
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.
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
Instructor
Faculty Director of Data Science Programs
Dr. Jane Wall is the Faculty Director of the Data Science Graduate Program at the University of Colorado Boulder, a position she has held since 2021. With a unique blend of business acumen and technical expertise, she brings a diverse background to her role. Dr. Wall began her academic journey with undergraduate degrees in Classical Languages and Political Science, followed by two master’s degrees in Mathematics and Applied Mathematics from the University of Georgia. Her professional experience includes significant roles at IBM, where she worked as a software engineer and manager, as well as leadership positions in various software development companies.Dr. Wall returned to academia to earn her Ph.D. in Computational and Applied Mathematics from Rice University, focusing on computational neuroscience. She has developed and taught numerous data science courses, including "Statistical Programming in R" and "Data Science Practicum." At CU Boulder, she oversees both residential and online modes of the Data Science program, which includes innovative courses like "Algebra and Differential Calculus for Data Science" and "Introduction to R Programming and Tidyverse." Dr. Wall's commitment to advancing data science education is evident through her efforts to create robust curricula that prepare students for successful careers in this rapidly evolving field.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.3 course rating
33 ratings
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.