Library

Course: Fundamentals of Python for Data Mining

Fundamentals of Python for Data Mining

  • Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App
  • Self-Paced
About this Course

This course aims to cover the fundamentals of Python programming through real world examples, followed by a touch on Data Science. Python programming basics such as variables, data types, if statements, loops, functions, module, object and classes are very important and this course will try to teach these with a Console Calculator project. 

The course will than run through the popular data mining libraries like pandas, matplotlib, scipy, sklearn briefly on iris dataset to do data manipulation, data visualizations, data exploration with statistics (inferential and descriptives), model and evaluation. 

You do not need to know programming for this course.  

This course is based on my ebooks at SVBook. 

Basic knowledge
  • Computer Knowledge
  • Basic coding knowledge
What you will learn
  • This course aims to cover the fundamentals of Python programming through real world examples, followed by a touch on Data Science. Python programming basics such as variables, data types, if statements, loops, functions, module, object and classes are very important and this course will try to teach these with a Console Calculator project and teaches data mining libraries like pandas, matplotlib, scipy, sklearn briefly on iris dataset to do data manipulation, data visualizations, data exploration with statistics (inferential and descriptives), model and evaluation
Curriculum
Number of Lectures: 12
Total Duration: 02:51:32
Content
  • INtroduction  
  • Getting Started  
  • Getting Started 2  
  • Getting Started 3  
  • Getting Started 4  
  • Language Essentials 1  
  • Language Essentials 2  
  • Object Essentials 1  
  • Object Essentials 2  
  • Object Essentials 3  
  • Data Mining 1  
  • Data Mining 2  
Reviews (0)