This course focuses on Python specifically for data science, and will introduce data manipulation and cleaning techniques using the popular python pandas data science library, will continue with NumPy adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
In this course you will learn:
Module 01: DataScience: Introduction to pandas 1
Module 02: DataScience: Introduction to pandas 2
Module 03: DataScience: Introduction to NumPy
Module 04: DataScience: Introduction to sklearn 1
Module 05: DataScience: Introduction to sklearn 2
Module 06: Matplotlib visualization / SeaBorn
Module 07: IPython Notebook
To attend this course, you need to have: