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Foundations of Data Science

Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks. You will consider these fundamental concepts on an example data clustering task, and you will use this example to learn basic programming skills that are necessary for mastering Data Science techniques. During the course, you will be asked to do a series of mathematical and programming exercises and a small data clustering project for a given dataset.

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Rating 4.6 based on 14 ratings
Length 6 weeks
Effort 5 Weeks of study, 5-6 hours per week
Starts Jul 17 (42 weeks ago)
Cost $49
From University of London, Goldsmiths, University of London via Coursera
Instructors Dr Matthew Yee-King, Dr Betty Fyn-Sydney, Dr Jamie A Ward, Dr Larisa Soldatova
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming
Tags Data Science Data Analysis Machine Learning

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What people are saying

details around k means

This course is at right level for a beginner (python and analytics) while going into details around K means clustering Good intro into K-means clustering.

some great introductory math

Some great introductory math tutorials and basic python programming.

many short videos wich

Great Instructors I liked it, very usefull and objective guide to implemt the algorithm, I also liked the format, many short videos wich is great to keep concentration I felt that the instructors were passionate about the subject and it made me want to learn more.

k-means clustering using python

Good introduction to k-means clustering using Python.

quizzes or properly view

I could not use it to upload, submit quizzes or properly view peer's work or my own feedback.

found them easy

Things were explained and I found them easy to follow.

process quite fast

Assignments were peer reviews which made the process quite fast.

at right level

exactly my situation

The course assumes that you don't know any python, which was good for me as that was exactly my situation when I started.

great instructors

advanced knowledge

However, if students did have a more advanced knowledge of data science concepts and python they could show this off in the assignments.

been better

The lessons based on maths had a lot of text; it would have been better to base it more on graphics or imagery, since it was confusing to follow speech and text on video at the same time.

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

AD, Data Science $47k

Associate Data Science Supervisor $55k

Science writer / data analyst $63k

Genomic Data Science Programmer $75k

Volunteer Director of Data Science $78k

Expert Data Science Supervisor $79k

Supervisor 1 Data Science Supervisor $91k

Guest Director of Data Science $101k

Data Science Architect $105k

Head of Data Science $131k

Assistant Director 1 of Data Science $133k

Owner Director of Data Science $149k

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Rating 4.6 based on 14 ratings
Length 6 weeks
Effort 5 Weeks of study, 5-6 hours per week
Starts Jul 17 (42 weeks ago)
Cost $49
From University of London, Goldsmiths, University of London via Coursera
Instructors Dr Matthew Yee-King, Dr Betty Fyn-Sydney, Dr Jamie A Ward, Dr Larisa Soldatova
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming
Tags Data Science Data Analysis Machine Learning

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