A Crash Course in 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

( 145 Reviews )

Created by: Jeff Leek

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Overall Score : 100 / 100

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Course Description

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 contexts2. How statistics, machine learning, and software engineering play a role in data science3. How to describe the structure of a data science project4. Know the key terms and tools used by data scientists5. How to identify a successful and an unsuccessful data science project3. The role of a data science managerCourse cover image by r2hox. Creative Commons BY-SA: https://flic.kr/p/gdMuhT

Time: 5h

Instructor Details

Jeff Leek

5.0 Rating
145 Reviews

Jeff Leek is an Assistant Professor of statistics at the Johns Hopkins Bloomberg School of Public Health and co-editor of the Simply Statistics Blog. He received his Ph.D. in statistics from the University of Washington and is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped us understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma. His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome logy, and PLoS Medicine. He created Data Analysis as a component of the year-long statistical methods core sequence for statistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Dr. Leek has taught the course.

Reviews

5.0

145 total reviews

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By Omar Z on 8-Apr-19

Great starting point for any experienced professional with no data science background to understand this growing in-demand field, its purpose, the various components that comprise data science, in addition to overall objectives and outcomes of data science. Allows you to evaluate how much further one would like to dive into the field respective of your personal or professional objectives.

By PRAVEEN K S on 2-Jun-19

Very nice way to get introduced to the world of data science. Thanks a lot!

By ezechukwu on 14-Mar-19

Nice and well taught .There is really alot to learn

By Rafael H R on 4-Apr-19

A light overview about Data Science that can be really useful as a first time on this topic.

By Sven M on 18-Sep-16

Executive Summary: Do not spend time on this course if you have minimal common sense and have read at least one article on Data Science.I finished the 11 week course "Machine Learning - Stanford University - by Andrew Ng" 2 months ago, which was such a great course! It kept me busy for about 20 days (at about 4-6 hours per day) and I learned so much!This course "A Crash Course in Data Science - Johns Hopkins University" , Part of a 5-course series, the Executive Data Science Specialization, provided just some superficial obvious information, took me only 3 hours to complete and even this time I would could wasted time.Finally coursera now starts to make courses smaller and smaller and them adding multiple of them up to "Specialization", so that at the end you have to pay much more to get a certain amount of information and course time. With this course they seem to have streched it to a new extreme. The price for the certificate for this superficial short mini course has reached the same price ($ 44) as what I payed for the extensive great Machine Learning course from Stanford University by Andrew Ng !

By Cdric B on 12-Dec-18

Nice course, I haven't practiced actual data science neither professionally nor academically for a while, and it is a good, gentle re-introduction to the domain

By Lisa H on 26-Nov-18

Great Overview of key terms.

By Elton K on 14-Dec-18

Interesting for a Non-Data Science Executive despite some minor spelling errors in video transcripts.

By Fatih Y on 14-Dec-18

Some of the quiz questions could be clearer. Other than that, I have learnt a lot I had great fun.. Thank you.

By Ricky W on 28-Nov-18

Very useful in helping me get a big picture about the kingdom of DS. Great professors with rich resources related to the course! Definitely want to learn more with them. Ricky

By Lisa P on 29-Nov-18

Engaging lectures.

By Raj R on 17-Dec-18

Excellent course coverage and helpful to understand the difference between hype and value.

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