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A Crash Course in Data Science Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

This A Crash Course in Data Science course offered by Coursera in partnership with Johns Hopkins University 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. 

Overview

By now you have definitely heard about data science and big data. In this one-week A Crash Course in Data Science course offered by Coursera in partnership with Johns Hopkins University, we will provide a crash course in what these terms mean and how they play a role in successful organizations. 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:

  • How to describe the role data science plays in various contexts
  • How statistics, machine learning, and software engineering play a role in data science
  • How to describe the structure of a data science project
  • Know the key terms and tools used by data scientists
  • How to identify a successful and an unsuccessful data science project
  • The role of a data science manager

Programme Structure

Courses include:

  • A Crash Course in Data Science

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • No previous experience necessary
  • To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.  

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Audit: free access to course materials except graded items
  • Certificate: a trusted way to showcase your skills
  • A year of unlimited access with Coursera Plus $399

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. 

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