University of Colorado Boulder - Data Science as a Field
- Offered byCoursera
Data Science as a Field at Coursera Overview
Duration | 10 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Science as a Field at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 1 of 4 in the Vital Skills for Data Science Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level Knowledge of R required and knowledge of tidyverse is helpful.
- Approx. 10 hours to complete
- English Subtitles: English
Data Science as a Field at Coursera Course details
- This course provides a general introduction to the field of Data Science. It has been designed for aspiring data scientists, content experts who work with data scientists, or anyone interested in learning about what Data Science is and what it?s used for. Weekly topics include an overview of the skills needed to be a data scientist; the process and pitfalls involved in data science; and the practice of data science in the professional and academic world. This course is part of CU Boulder?s Master?s of Science in Data Science and was collaboratively designed by both academics and industry professionals to provide learners with an insider?s perspective on this exciting, evolving, and increasingly vital discipline.
- Data Science as a Field can be taken for academic credit as part of CU Boulder?s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder?s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Data Science as a Field at Coursera Curriculum
Introduction to Data Science: the Past, Present, and Future of a New Discipline
Data Science as a Field Course Introduction
Where Does Data Science Come From?
The Current State of the Field
Where is Data Science Going?
Data Science in Industry, Government, and Academia
Introduction to "Data Science in Business, Industry, and the Professional World"
Brian Brown & Rinaldo Maldera
Natalie Jackson
Vilja Hulden
Robin Burke
Seth Spielman
Katharina Kann
Dan Larremore
Introducing Brian Brown and Rinaldo Maldera
Introducing Natalie Jackson
Introducing Vilja Hulden
Introducing Robin Burke
Introducing Seth Spielman
Introducing Katharina Kann
Introducing Dan Larremore
Data Science Process and Pitfalls
Importance and Process of Reproducibility
Knit to PDF
Intro to R Markdown
Overview of Steps in the Data Science Process
Importing Data
Tidying and Transforming Data
Visualizing Data
Analyzing Data
Modeling Data
Bias sources
Intro to Data Ethics course with Bobby Schnabel
Knit the Template
Use R Markdown to Create a Document
Project Files
Project Step 1: Start an Rmd Document
Project Step 2: Tidy and Transform Your Data
Project Step 3: Add Visualizations and Analysis
Project Step 4: Add Bias Identification
File Unlocking Quiz
Communicating Your Results
Do?s and Don?ts for Good Reports and Presentations
CU Boulder?s MS in Data Science: Where to Go from Here?
Imposter Syndrome
Data Science as a Field at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?