Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
2 months
Duration
2 months
Apply date
Anytime
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Apply date
Anytime
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Start date
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Start date
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About

Gain Exposure to Key Data Science Areas. Gain professional knowledge in the field of Data Science and learn applicable skills in Cybersecurity and Ethics with this Vital Skills for Data Science Specialization offered by Coursera in partnership with University of Colorado Boulder.

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Overview

The Vital Skills for Data Science Specialization offered by Coursera in partnership with University of Colorado Boulder introduces students to several areas that every data scientist should be familiar with.  Each of the topics is a field in itself.

Key facts

  • This specialization provides a "taste" of each of these areas which will allow the student to determine if any of these areas is something they want to explore further. 
  • In this specialization, students will learn about different applications of data science and how to apply the steps in a data science process to real life data.  
  • They will be introduced to the ethical questions every data scientist should be aware of when doing an analysis.  The field of cybersecurity makes the data scientist aware of how to protect their data from loss.
  • This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. 
  • The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others.

What you'll learn

  • Identify applications of Data Science.
  • Identify the steps of the Data Science process and apply them with real world data.
  • Discuss privacy concerns.

Skills you'll gain

  • Data Visualization
  • Algorithms
  • Communication
  • Data Analysis

Programme Structure

Courses include:

  • Data Science as a Field
  • Ethical Issues in Data Science
  • Cybersecurity for Data Science
  • Fundamentals of Data Visualization

Key information

Duration

  • Part-time
    • 2 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

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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

Intermediate level

  • Recommended experience: R programming

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.
  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

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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