About this course: By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials. This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. How to describe the role data science plays in various contexts 2. How statistics, machine learning, and software engineering play a role in data science 3. How to describe the structure of a data science project 4. Know the key terms and tools used by data scientists 5. How to identify a successful and an unsuccessful data science project 3. The role of a data science manager Course cover image by r2hox. Creative Commons BY-SA: https://flic.kr/p/gdMuhT
Taught by: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Taught by: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
Taught by: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
| Basic Info | Course 1 of 5 in the Executive Data Science Specialization |
| Commitment | 1 week of study, 4-6 hours |
| Language | English, Subtitles: Turkish, Russian, Chinese (Traditional) |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
- Video: About Your Instructors
- Reading: Specialization Textbook
- Reading: Grading
- Reading: Pre-Course Survey
- Video: What is Data Science?
- Reading: Statistics by example activities
- Video: Statistics by example activities
- Reading: Machine learning
- Video: Machine learning, the basics
- Video: Machine learning further reading
- Video: What is Software Engineering for Data Science?
- Video: The Structure of a Data Science Project
- Reading: The outputs of a data science experiment
- Video: The outputs of a data science experiment
- Reading: The four secrets of a successful data science experiment
- Video: The four secrets of a successful data science experiment
- Video: Data Scientist Toolbox
- Video: Separating Hype from Value
- Reading: Post-Course Survey
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
| Audit | Purchase Course | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Not available | Available |
| Receive a final grade | Not available | Available |
| Earn a shareable Course Certificate | Not available | Available |
Esta serie de cursos, es recomendable para iniciar en la carrera de Ciencia de Datos, conceptos claros, expuestos por catedráticos de primer nivel
Perfect thanks , only that we would thank all the Spanish speakers who please translate into Spanish all their prestigious courses of indistinguishable quality. again thank you and I hope to take this in consideration so they will contribute even more to improving the quality of education in Latin America and South America.
Brief and Beautiful summarization of all the steps involved in Data Science
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AK
Very informative in a way that I could grasp as a newcomer to Data Science. I had to review a couple of videos to really understand the information, but that was both necessary and worthwhile for a new topic. Relevant examples were also very key especially in the "Defining Success" section, to understand real-world applications. This course is very relevant for my career progression, knowing the nuances and limitations of DS and how to apply in discussion with DS colleagues.