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Programming for Data Science

Big Data,

There is a rising demand for people with the skills to work with Big Data sets and this course can start you on your journey through our Big Data MicroMasters program towards a recognised credential in this highly competitive area.

Using practical activities you will learn how digital technologies work and will develop your coding skills through engaging and collaborative assignments.

You will learn algorithm design as well as fundamental programming concepts such as data selection, iteration and functional decomposition, data abstraction and organisation. In addition to this you will learn how to perform simple data visualisations using Processing and embed your learning using problem-based assignments.

This course will test your knowledge and skills in solving small-scale data science problems working with real-world datasets and develop your understanding of big data in the world around you.

What you'll learn

  • How to analyse data and perform simple data visualisations using Processing
  • Understand and apply introductory programming concepts such as sequencing, iteration and selection
  • Equip you to study computer science or other programming languages

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Rating Not enough ratings
Length 10 weeks
Effort 10 weeks, 8–10 hours per week
Starts On Demand (Start anytime)
Cost $199
From University of Adelaide, AdelaideX via edX
Instructors Dr. Katrina Falkner, Dr. Nick Falkner, Dr. ​Claudia Szabo, Katrina Falkner, ​Claudia Szabo, Nick Falkner
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Analysis & Statistics

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Rating Not enough ratings
Length 10 weeks
Effort 10 weeks, 8–10 hours per week
Starts On Demand (Start anytime)
Cost $199
From University of Adelaide, AdelaideX via edX
Instructors Dr. Katrina Falkner, Dr. Nick Falkner, Dr. ​Claudia Szabo, Katrina Falkner, ​Claudia Szabo, Nick Falkner
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Analysis & Statistics

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