Crossfilter for Data Science Essential Training

( 0 Reviews )

Created by: Emma Saunders

Produced in 2017

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 0 / 100

Live Chat with CourseDuck's Co-Founder for Help

Need help deciding on a javascript course? Or looking for more detail on Emma Saunders's Crossfilter for Data Science Essential Training? Feel free to chat below.

Join CourseDuck's Online Learning Discord Community

Course Description

Need to slice and dice large and complex JavaScript data arrays with maximum speed and effectiveness? Enter Crossfilter.js. An alternative to expensive tools like Qlikview, Crossfilter manages the data that lie behind charts, allowing data scientists to group and filter data quickly and easily, right in the browser. Join Emma Saunders in this entry- through intermediate-level course, which explores data indexing and filtering with Crossfilter. Learn how to download and set up Crossfilter, create and use dimensions (which function similarly to properties) to filter data, group and reduce results, set up advanced filters to sort by range or function, and perform actions (like removals) on matching records.

Intermediate Level

Time: 5h 3m

Instructor Details

Emma Saunders

0.0 Rating
0 Reviews

Emma Saunders is a freelance data consultant specializing in data visualization on the web.

She uses HTML, CSS, D3, DC, Crossfilter, JavaScript, PHP, SQL, and VBA in her work, but she is a designer as much as a coder. Emma enjoys finding the story in data, and working out the best way to communicate that story.

A graduate of Oxford University, Emma has 15 years of business experience, starting on the Shell graduate scheme, and moving to Credit Suisse, the UK financial regulator, and even working a brief spell as a journalist at the Financial Times in London. She has never worked in an IT department, but taught herself coding skills as they have become useful from job to job. She also ran her own online business for a few years from 2006, and coded an ecommerce site for that venture. She is available professionally via https://vizdata.co.uk.