Recommended duration: 3 full days

Audience:

This course is designed for developers, system administrators, and test engineers, who wish to develop, automate, and test applications and systems using Python. 

Prerequisites:

The participants should have prior programming experience and should be familiar with basic programming constructs.

Lab requirements:

As the training is highly lab oriented, each participant attending the training program must be provided with a Computer with the following software installed:

- Windows or Linux with Python 2.x & 3.x

This is a hands-on course, designed to help the developers to speedup in Python, as quickly as possible. The participant's in this course will experience the following:

Outline of a course:

Module 1: Python Basics

1. Python Introduction

2.  Using the Interpreter

3.  Python Scripting

4.  Working with Variables in Python

5.  Numeric Operations in Python

6.  Python Compound Statements

7.  Python String Types

8.  Python's Tuples

9.  Python's Lists

10.  Python Dictionaries

11.  Creating Python Functions

12.  Classes and Objects

13. Modules and Packages

Module 2: Data Science, Machine Learning & Deep Learning

14. Intro to Data Science

15.   Working with arrays & matrix (using numpy)

16.   Working with Series & DataFrames

17.   Working with Data:

18.  Data Visualization

19.  Statistics Overview

20.   Predictive Models

21.   Machine Learning

22.   More Data Mining and Machine Learning Techniques

23.   Recommender Systems

24.   Dealing with Real-World Data

25.   Experimental Design

26.   Deep Learning and Neural Networks