70 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

EdX is an online learning platform trusted by over 12 million users offering the Computational Thinking and Big Data Program in collaboration with University of Adelaide - AdelaideX.  Learn the core concepts of computational thinking and how to collect, clean and consolidate large-scale datasets.

Visit the official programme website for more information

Overview

Computational thinking is an invaluable skill that can be used across every industry, as it allows you to formulate a problem and express a solution in such a way that a computer can effectively carry it out.

In this Computational Thinking and Big Data course from University of Adelaide - AdelaideX , part of the Big Data MicroMasters Program, you will learn how to apply computational thinking in data science. You will learn core computational thinking concepts including decomposition, pattern recognition, abstraction, and algorithmic thinking.

You will also learn about data representation and analysis and the processes of cleaning, presenting, and visualizing data. You will develop skills in data-driven problem design and algorithms for big data.

The course will also explain mathematical representations, probabilistic and statistical models, dimension reduction and Bayesian models.

You will use tools such as R and Java data processing libraries in associated language environments.

What you'll learn:

  • Understand and apply advanced core computational thinking concepts to large-scale data sets
  • Use industry-level tools for data preparation and visualisation, such as R, MOA and Hadoop
  • Apply methods for data preparation to large data sets
  • Understand mathematical and statistical techniques for attracting information from large data sets and illuminating relationships between data sets

The Computational Thinking and Big Data programme is part of Big Data MicroMasters Program.

Programme Structure

Courses include:

  • Data in R
  • Visualising relationships
  • Manipulating and joining data
  • Transforming data and dimension reduction
  • Summarising data

Key information

Duration

  • Part-time
    • 70 days
    • 8 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

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

English requirements

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

Other requirements

General requirements

  • Level: Introductory
  • Prerequisites: None

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 EUR for the full programme during 70 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 EUR for the full programme during 70 days.

Add a Verified Certificate for $249 USD

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Computational Thinking and Big Data
-
edX - online learning platform

Wishlist

Go to your profile page to get personalised recommendations!