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 course is part of the Executive Data Science Specialization
A Crash Course in Data Science
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About 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
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
100% online
Start instantly and learn at your own schedule.
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Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 5 hours to complete
Suggested: 1 week of study, 4-6 hours
English
Subtitles: Chinese (Traditional), Arabic, Russian, Turkish, English, 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
4 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.
4 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?2m
What is statistics good for?10m
Machine learning8m
Quiz: Software Engineering6m
Structure of a Data Science Project8m
The outputs of a data science experiment10m
Defining Success in Data Science8m
Data scientist toolbox8m
Separating hype from value8m
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 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.
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 SJSep 9, 2017
This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.
by JMJan 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,
by KSFeb 8, 2020
Well it got the objective right which is only a crash course in data science for beginners, but I think the team could make a more engaging and practical videos with more of real life cases
by AOJun 12, 2016
Provided a good, very high level overview. I audited so I didn't take the quizzes, but the questions were all on the general side. I liked how they used some examples of real-life research.
About the Executive Data Science Specialization
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.
In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
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.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
