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A Crash Course in Data Science
  • Level Foundation
  • Duration 7 hours
  • Course by Johns Hopkins University
  • Offered by

About

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

Modules

Introduction

    • 1 Videos
    • 3 Readings
Show info about module content

1 Videos

  • About Your Instructors

3 Readings

  • Specialization Textbook
  • Grading
  • Pre-Course Survey

What is Data Science?

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • What is data science?

1 Videos

  • What is Data Science?

What is statistics good for?

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • What is statistics good for?

1 Videos

  • Statistics by example activities

1 Readings

  • Statistics by example activities

What is machine learning?

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Machine learning

2 Videos

  • Machine learning, the basics
  • Machine learning further reading

1 Readings

  • Machine learning

What is software engineering for data science?

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Quiz: Software Engineering

1 Videos

  • What is Software Engineering for Data Science?

Structure of a data science project

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Structure of a Data Science Project

1 Videos

  • The Structure of a Data Science Project

The output of a data science experiment

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • The outputs of a data science experiment

1 Videos

  • The outputs of a data science experiment

1 Readings

  • The outputs of a data science experiment

Defining success

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Defining Success in Data Science

1 Videos

  • The four secrets of a successful data science experiment

1 Readings

  • The four secrets of a successful data science experiment

Data science toolbox

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Data scientist toolbox

1 Videos

  • Data Scientist Toolbox

Separating Hype from Value

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Separating hype from value

1 Videos

  • Separating Hype from Value

Post-Course Survey

    • 1 Readings
Show info about module content

1 Readings

  • Post-Course Survey

Auto Summary

"A Crash Course in Data Science" is an intensive one-week program designed for those eager to understand the fundamentals of data science and its impact on organizations. This foundational course, led by expert instructors on Coursera, covers the roles of statistics, machine learning, and software engineering in data science. It also provides insights into managing data science projects and teams. With convenient subscription options—Starter, Professional, and Paid—this course is perfect for aspiring data science managers and professionals looking to quickly grasp essential concepts without technical overload.

Jeff Leek, PhD
Instructors

Jeff Leek, PhD

Brian Caffo, PhD
Instructors

Brian Caffo, PhD

Roger D. Peng, PhD
Instructors

Roger D. Peng, PhD