When you enroll in this course, you'll also be enrolled in this Specialization.
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
There is 1 module in 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
This one-module course constitutes the first "week" of the Executive Data Science Specialization. This is an intensive introduction to what you need to know about data science itself. You'll learn important terminology and how successful organizations use data science.
What's included
11 videos8 readings9 assignments
Show info about module content
11 videos•Total 78 minutes
About Your Instructors•2 minutes
What is Data Science?•5 minutes
Statistics by example activities•12 minutes
Machine learning, the basics•13 minutes
Machine learning further reading•3 minutes
What is Software Engineering for Data Science?•6 minutes
The Structure of a Data Science Project•7 minutes
The outputs of a data science experiment•6 minutes
The four secrets of a successful data science experiment•14 minutes
Data Scientist Toolbox•6 minutes
Separating Hype from Value•3 minutes
8 readings•Total 80 minutes
Specialization Textbook•10 minutes
Grading•10 minutes
Pre-Course Survey•10 minutes
Statistics by example activities•10 minutes
Machine learning•10 minutes
The outputs of a data science experiment•10 minutes
The four secrets of a successful data science experiment•10 minutes
Post-Course Survey•10 minutes
9 assignments•Total 206 minutes
What is data science?•30 minutes
What is statistics good for?•10 minutes
Machine learning•8 minutes
Quiz: Software Engineering•30 minutes
Structure of a Data Science Project•30 minutes
The outputs of a data science experiment•30 minutes
Defining Success in Data Science•8 minutes
Data scientist toolbox•30 minutes
Separating hype from value•30 minutes
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Instructors
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Learner reviews
4.5
8,387 reviews
5 stars
62.79%
4 stars
28.74%
3 stars
6.43%
2 stars
1.22%
1 star
0.79%
Showing 3 of 8387
J
JX
4·
Reviewed on Jun 20, 2016
fairly general concepts of data science, but may be quite helpful l for people totally new to the field of data (e.g. not having any idea), or as material to review the big picture of data science
D
DM
4·
Reviewed on Jan 9, 2020
Thanks folks! This was a fun course to do. Although I had a reasonable idea about the topics covered, it did a good job consolidating everything into something that is applicable to
P
PT
5·
Reviewed on Jul 12, 2018
Great introduction. What I found interesting is being able to reflect on projects I have been on relating to data analysis and seeing the steps, benefits and pitfalls explained for me.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.