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
During the ExpertTrack well be using Jupyter notebook
There are no prerequisites to enrol on this data analytics course, but its recommended that you have some prior knowledge or experience working with data statistics, using spreadsheets
We recommend you use a computer to access these elements
What You Will Learn
Build and apply practical skill sets to complete data exploration and visualisation
Compare data analytics and advanced data analytics
Demonstrate data ingestion using Python and various data types and data sources
Demonstrate various data processing activities using data query language and data manipulation language
Develop and utilise critical elements of programming language, Python
Target Students
business analysts or junior data analysts looking to develop advanced data analytics skills and programming capabilities to advance in data analytics
individuals with existing programming capabilities looking to enter the data analytics field
Course Instructors