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.
Offered By
Executive Data Science SpecializationJohns Hopkins UniversityAbout this Course
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Learner Career Outcomes
26%
started a new career after completing these courses
27%
got a tangible career benefit from this course
10%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 5 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 7 hours to complete
English
Subtitles: Chinese (Traditional), Arabic, French, Portuguese (Brazilian), Russian, Turkish, English, Spanish, Hindi
Skills you will gain
Data ScienceData AnalysisMachine LearningProject
Learner Career Outcomes
26%
started a new career after completing these courses
27%
got a tangible career benefit from this course
10%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 5 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 7 hours to complete
English
Subtitles: Chinese (Traditional), Arabic, French, Portuguese (Brazilian), Russian, Turkish, English, Spanish, Hindi
Offered by
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Syllabus - What you will learn from this course
7 hours to complete
A Crash Course in Data Science
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.
7 hours to complete
11 videos (Total 78 min), 8 readings, 9 quizzes
11 videos
What is Data Science?5m
Statistics by example activities11m
Machine learning, the basics13m
Machine learning further reading3m
What is Software Engineering for Data Science?6m
The Structure of a Data Science Project6m
The outputs of a data science experiment6m
The four secrets of a successful data science experiment14m
Data Scientist Toolbox5m
Separating Hype from Value3m
8 readings
Specialization Textbook10m
Grading10m
Pre-Course Survey10m
Statistics by example activities10m
Machine learning10m
The outputs of a data science experiment10m
The four secrets of a successful data science experiment10m
Post-Course Survey10m
9 practice exercises
What is data science?30m
What is statistics good for?30m
Machine learning30m
Quiz: Software Engineering30m
Structure of a Data Science Project30m
The outputs of a data science experiment30m
Defining Success in Data Science30m
Data scientist toolbox30m
Separating hype from value30m
Reviews
TOP REVIEWS FROM A CRASH COURSE IN DATA SCIENCE
by NGJan 8, 2018
Questions could have been more difficult. Plus, I'm frustrated that I was taken into a 25-question survey ranking me with other data scientists, but when I clicked out of it I wasn't able to get back.
by SKJul 18, 2017
This course introduced me to the concepts of Data Science and the key words mainly. Some lecturers spoke very fast, and I had listen to them two or three times to keep up with their pace of speaking.
by JXJun 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
by RADec 29, 2019
Enjoyed the pace at which the course moved. Teachers were qualified and relevant. Video Production quality could be better, some of the presentation graph were illegible - thus the lack of 1 star.
About the Executive Data Science Specialization
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.
Frequently Asked Questions
When will I have access to the lectures and assignments?
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:
- The course may not offer an audit option. 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. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.
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