Course Description

Python has been one of the premier, flexible, and powerful open-source languages that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. Python Certification Training not only focuses on fundamentals of Python, Statistics, Machine Learning and Spark but also helps one to gain expertise on applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems, quiz and assignments and scenarios that help you to gain practical experience in addressing an automation problem that would either require only Python or Machine Learning using Python. Starting from the basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you to get into the weeds.

Course Objective

• Overview of Python
• Running Python Scripts
• Flow Control
• Sequence Data
• Defining Functions
• Errors and Exception Handling.
• Using Modules
• Regular Expressions
• Higlights of the Standard Library
• Python Classes