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

About

This Big Data Analytics course from The University of Edinburgh is perfect for anyone keen on understanding the complexities of big data.

Overview

It is ideal for those looking to enhance their skills in data management and analytics, particularly in contexts where data volumes exceed traditional processing capabilities. This course is suitable for anyone eager to tackle the data challenges of today's world. 

Key facts

In this taster Big Data Analytics course offered by The University of Edinburgh, you will learn about some challenges and approaches in dealing with big data. The fundamental issue that big data analytics seeks to address is what to do when datasets become too big and unwieldy to be handled by a single computer. 

This topic is becoming increasingly relevant in a world where huge quantities of data are routinely collected by both public and private entities. 

Programme Structure

What you'll learn:

  • Learn what big data is and appreciate the unique challenges that come with it.
  • Be able to describe big O notation for computational complexity.
  • Be introduced to parallel and cloud computing.
  • Learn about some software for carrying out big data analytics using R. 

Key information

Duration

  • Part-time
    • 1 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Campus Location

  • Edinburgh, United Kingdom

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

  • Participants should be comfortable reading, writing, and conversing in English. 
  • 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
  • Domestic

    Citizens or residents
    Free

Additional Details

  • Cost - Free

Funding

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