What you'll learn
- This course is suitable for IT personnel who are just beginning to work Python Data Science tools and packages.
Course content
- Preview02:59
- 10:16Environment Setup
Requirements
- Beginners level knowledge for working with Data .
- Programming knowledge not required.
Description
The main purpose of this course is to give students the ability to analyze and present data by using Python Data Science tools, and to provide an introduction to the use of data cleaning and data visualizations.
The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis.
By-
Uditha Bandara is specializes in Microsoft Development technologies. He is the South East Asia`s First XNA/DirectX MVP (Most Valuable Professional). He had delivered sessions at various events and conferences in Hong Kong, Malaysia, Singapore, Sri Lanka and India.
Who this course is for:
- Anyone Interested to learn Data Science
Instructor
![Uditha Sampath Bandara](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 3.6 Instructor Rating
- 126 Reviews
- 16,569 Students
- 4 Courses
Uditha Bandara is a corporate trainer and a consultant specializing Machine Learning and Mobile Application development for Android and IOS. He was South East Asia’s First XNA/DirectX MVP (Most Valuable Professional). He has conducted sessions at events and conferences in Singapore, Hong Kong, Indonesia, Malaysia, Sri Lanka and India. He had authored Game AI book on Amazon.