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Data to Insight: An Introduction to Data Analysis

University Of Auckland via FutureLearn

students interested

Getting started in data science

Organisations everywhere want to exploit data to predict behaviours and extract valuable real-world insights to inform decisions. You will focus on data exploration and discovery, learning what to look for in data, its limitations and avoiding being misled. Our visualisations will help you gain skills quickly, and introduce you to the big ideas that will help you to start understanding our world through data. We want to give you the confidence to dive into data using computer software and to start thinking like a statistical data scientist. We also give you an opportunity to learn coding in R.

This course is suited to those new to these areas and those wanting a reminder and fresh perspectives. You will need to be comfortable thinking in terms of percentages, have a level of comfort with using computers. Learners with visual impairments may not be able to complete all of the course material.

We use free software. Parallel threads enable you to choose between using online software that requires only an internet connection, installed “point-and-click” software, or learning to code in R.

Taught by

Chris Wild
Cost Free Online Course (Audit)
Subject Data Analysis
Provider FutureLearn
Language English
Certificates Paid Certificate Available
Calendar 8 weeks long
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MOOCs stand for Massive Open Online Courses. These are free online courses from universities around the world (eg. Stanford Harvard MIT) offered to anyone with an internet connection.
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MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you.  They also have student discussion forums, homework/assignments, and online quizzes or exams.

Reviews for FutureLearn's Data to Insight: An Introduction to Data Analysis
4.0 Based on 2 reviews

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4.0 3 years ago
Anonymous completed this course.
Good course. Well structured, paced and suitable for beginners. Main drawback is that it does not teach any proficiency in the actual programming of R.
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4.0 2 years ago
by Ian Pitchford is taking this course right now.
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