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.
A Crash Course in Data Science
A Crash Course in Data Science
This course is part of Executive Data Science Specialization
Instructors: Jeff Leek, PhD
204,711 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.5
(8,199 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 6 hours
Learn at your own pace
93%
Most learners liked this course
What you'll learn
Describe Data Science’s role in various contexts
Understand how Statistics and Machine Learning affect Data Science
Use the key terms used by data scientist
Predict whether a Data Science project will be successful
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
9 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Executive Data Science Specialization
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
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There is 1 module in this course
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
Instructors
Instructor ratings
4.5 (842 ratings)Offered by
Recommended if you're interested in Data Analysis
Duke University
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Johns Hopkins University
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Learner reviews
4.5
8,199 reviews
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Showing 3 of 8199
JM
5
Reviewed on Jan 1, 2018
It is a very good course even if you are familiar with some aspects of data science work. If I have to make a suggestion, I would remark the importance of design skills during a data product,
PS
4
Reviewed on Feb 15, 2018
This course is good starter for anyone wanting to understand data science projects, be it if you are trying to pursue a career in data science or trying to understand overall picture.
YM
5
Reviewed on Sep 13, 2017
Great to do if, you want to dive into data science or machine learning. It is a must do, if you have no idea of the rationale behind statistics and data science as well as the need for it.
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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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.
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. If you only want to read and view the course content, you can audit the course for free.
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