Data Analytics with Python Python for Data Scientists
Catalog Home
Java/Java EE, Open-Source & Web Application Servers
Python & Scala
Your Training Location:
Data Analytics with Python Python for Data Scientists
Add Course To Watch List
View Full Course Outline
Request A Public Course
In Your Area
Request A Quote For A
Private Class
View Full Course Outline
Request A Public Course
In Your Area
Request A Quote For A
Private Class
Delivery Options & Status:
Instructor Led
Loading Course Dates...
Failed
{{date.date_begin | date:'M/d'}} - {{date.date_end | date:'M/d/yyyy'}}
{{date.date_begin | date:'shortDate'}} - {{date.date_end | date:'shortDate'}}
ViewHide Additional Dates
Summary
Python has become a powerful language and environment for performing data science. It combines a robust, object-oriented language with a powerful library of data science packages, such as numpy, scipy, matlibplot, scikit-learn, and pandas. These tools together make python one of the best combinations of robust programming language together with great library support.
Prerequisites
This course is designed for experience and background in software development. Helpful to have some background in analytics or machine learning. Some background in Python highly recommended though a brief intro is included.
Duration
3 Days/Lecture &B Lab
Audience
This course is designed for Data Analysts, Data Scientists, and Developers.
Topics
Quick Python primer
- Quick primer on data science algorithms
- NumPy
- SciPy
- Pandas
- Scikit-learn
Related Scheduled Courses
