Об этом курсе
4.4
3,962 ratings
785 reviews
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...
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Предполагаемая нагрузка: 1 week of study, 4-6 hours

Прибл. 4 ч. на завершение
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Субтитры: English, Turkish, Russian, Chinese (Traditional)

Чему вы научитесь

  • Check
    Describe Data Science’s role in various contexts
  • Check
    Predict whether a Data Science project will be successful
  • Check
    Understand how Statistics and Machine Learning affect Data Science
  • Check
    Use the key terms used by data scientist

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Data ScienceMachine LearningData AnalysisProject
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Только онлайн-курсы

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Предполагаемая нагрузка: 1 week of study, 4-6 hours

Прибл. 4 ч. на завершение
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English

Субтитры: English, Turkish, Russian, Chinese (Traditional)

Программа курса: что вы изучите

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4 ч. на завершение

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....
Reading
11 видео (всего 78 мин.), 8 материалов для самостоятельного изучения, 9 тестов
Video11 видео
What is Data Science?5мин
Statistics by example activities11мин
Machine learning, the basics13мин
Machine learning further reading3мин
What is Software Engineering for Data Science?6мин
The Structure of a Data Science Project6мин
The outputs of a data science experiment6мин
The four secrets of a successful data science experiment14мин
Data Scientist Toolbox5мин
Separating Hype from Value3мин
Reading8 материала для самостоятельного изучения
Specialization Textbook10мин
Grading10мин
Pre-Course Survey10мин
Statistics by example activities10мин
Machine learning10мин
The outputs of a data science experiment10мин
The four secrets of a successful data science experiment10мин
Post-Course Survey10мин
Quiz9 практического упражнения
What is data science?2мин
What is statistics good for?10мин
Machine learning8мин
Quiz: Software Engineering6мин
Structure of a Data Science Project8мин
The outputs of a data science experiment10мин
Defining Success in Data Science8мин
Data scientist toolbox8мин
Separating hype from value8мин
4.4
Direction Signs

26%

начал новую карьеру, пройдя эти курсы
Briefcase

83%

получил значимые преимущества в карьере благодаря этому курсу
Money

19%

стал больше зарабатывать или получил повышение

Лучшие рецензии

Основные моменты
Well taught
(48)
Basic course
(76)
автор: SJSep 10th 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.

автор: JMJan 2nd 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,

Преподавателя

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

О 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....

О специализации ''Executive Data Science'

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....
Executive Data Science

Часто задаваемые вопросы

  • 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.

  • 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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