Course Features
Duration
12 weeks
Delivery Method
Online
Available on
Lifetime Access
Accessibility
Mobile, Desktop
Language
English
Subtitles
English
Level
Beginner
Effort
4 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
Alumni Network
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
There are no prerequisites to joining this ExpertTrack
However its advised that you have some prior knowledge or experience working with data statistics and using spreadsheets
The learnings of this ExpertTrack will solidify and enhance any prior understanding of working with data and analytics as well as develop critical employability skills in using Python libraries for visualisation
During the ExpertTrack well be using Tableau Public and Excel
If you dont have Excel, you might find this online version useful
What You Will Learn
Leverage Python libraries to conduct data modeling and build compelling visualisations
Identify and critique components of effective visualisations, charts and visualisation of complex relationships
Define best practices for setting objectives and planning of the data analytics phases
Articulate the thought process of designing an application
Target Students
This ExpertTrack will grow your confidence in using Python to produce exploratory and explanatory visualisations,building dashboards, and communicating dashboard insights
It is suitable for professionals with a fundamental understanding of data analytics who work with data on a regular basis but want to become more employable or progress in their career
Business analysts and junior data analysts looking to further develop their data visualisation skills using Python
Individuals with existing programming capabilities looking to enter the data analytics field