Course Features
Duration
4 weeks
Delivery Method
Online
Available on
Lifetime Access
Accessibility
Mobile, Desktop
Language
English
Subtitles
English
Level
Intermediate
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
What You Will Learn
Describe what Modules, Packages and Libraries are in Python
Use Date Time data in Python
Use the Numpy and Pandas packages of Python
Demonstrate data ingestion using Python and various data types and data sources
Target Students
Business analysts or junior data analysts looking to develop advanced data analytics skills and programming capabilities to progress their careers in data analytics
Those with existing programming capabilities looking to enter the data analytics field
Individuals lacking the programming capabilities to conduct more advanced data analysis and modelling