Skip to content
Write a review
CourseraArtificial IntelligenceFree courseCertificate

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

5.0
490 reviews

Created by: Jeff Leek

icon
Quality Score

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 100 / 100

icon
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
Read More product length iconTime: 5h

icon
Instructor Details

placeholder

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.

Read More

icon
More courses by Jeff Leek

Free

Free

Free

Free

Free

Free

All courses by Jeff Leek

icon
More Artificial Intelligence courses

Free

Free

Free

$79.99

Free

Free

All Artificial Intelligence courses

icon
Reviews

5.0

490 reviews in total

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By PRAVEEN K S on 2-Jun-19

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

By 尤宇辰 on 15-Apr-19

A brief and clear introduction of data science, very helpful for a beginner

By Priyanka F P on 14-Apr-19

Excellent technical information!

By KiWoong N on 9-Apr-19

It's awesome!

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 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 Kieran H on 2-Apr-19

Overall very good and easy to follow and return to.

By Bommannagari M on 30-Mar-19

good

By Bill P on 28-Mar-19

Great overview of Data Science and what it is trying to accomplish.

By Gustavo V on 25-Mar-19

A brief but helpfull introduction to Data Science

By Balakrishnan.R on 23-Mar-19

Narrative is clear and concise and quizzes are though look easy they are in fact really made me involved. Excellent Course

By Zaw_Tun N on 19-Mar-19

I was very delighted to have learned that course, I believe that I really gained a lot of insights into the subject although my career is not a data scientist.

Showing 12 of 490 reviews

A Crash Course in Data Science
Visit course on Coursera Write a review
  • Video Duration: icon 5h
  • Price: Free
  • Provider: icon Coursera
  • University: icon IBM
  • Language: icon English
  • Certificate: icon Yes

Coursera Coupon Price Tracker

Udemy price history

For any issues or feature requests please email CourseDuck's Co-Founder at mkuhlman12@gmail.com