Data Visualisation with Python: Bokeh and Advanced Layouts

Course Cover
compare button icon

$12

Visit Course

Visit Course

Course Features

icon

Duration

4 weeks

icon

Delivery Method

Online

icon

Available on

Lifetime Access

icon

Accessibility

Mobile, Desktop

icon

Language

English

icon

Subtitles

English

icon

Level

Advanced

icon

Effort

4 hours per week

icon

Teaching Type

Self Paced

Course Description

The first week of this course will cover the main functions of Bokeh as well as how it can be used for interactive visualisations. Bokeh's advantages over other data visualization packages will be discussed. You'll also learn about the Python concept of Glyphs and how they can customized. After you have mastered the basics, you will learn more about Bokeh's plot layouts and advanced features. You will be able to link sliders to plots using selects. Week three will be a full-fledged exploration of data analysis. Learn about the different phases of data exploration, as well as data ethics and responsible storytelling. The course will also allow you to combine all your knowledge with extended data analysis and visualization. The final week will focus on data analytics as an emerging field and the role of DataOps, UX design and other technologies that can improve your prospects as a data professional. You'll be able to participate in practical exercises and perform real-world tasks throughout the course that will put you in the position of a data analyst at a streaming service. You can see some of the steps in this course before you sign up.

Course Overview

projects-img

Internship

projects-img

Job Assistance

projects-img

Alumni Network

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

check-card-img

Use Bokeh to create interactive visualisations and dashboards

check-card-img

Articulate the thought process of designing an application

check-card-img

Define best practices for setting objectives and planning of the data analytics phases

Target Students

check-card-img

This course is designed for professionals who would like to grow their confidence in using Python to produce exploratory and explanatory visualisations and build dashboards to communicate insights

check-card-img

A professional working with data on a regular basis or have a fundamental understanding of data analytics but want to become more employable or progress in their career

check-card-img

A business analyst or junior data analysts looking to further develop their data visualisation skills using Python

check-card-img

An individual with existing programming capabilities looking to enter the data analytics field

Course Instructors

Author Image

Ed Marks

Instructor

I truly believe that leveraging the correct technologies in the appropriate way can take us towards a more sustainable economy. My focus is on converging M&E Engineering with Data Science-Analysis.
Course Cover

$12

Visit Course

Visit Course