Harvesting and collecting web data can be performed manually via humans “cutting and pasting” or using any number of web data scraping, mining and harvesting tools. Essentially, extracting data from the web involves capturing what you see in your web browser. However, the dynamic nature of the web requires a web browser enabled approach to extracting data.

When defining web data, most people focus on well-known consumer and social media sites such as Google, Amazon, Wikipedia, Facebook and Twitter, but the most valuable data is usually located somewhere else. It could be in industry or location specific sites, password protected B2B portals, cloud apps, government sites and even your competitor’s site. It also includes data locked in applications that lives inside your firewall. Once you expand the extraction to include data from all relevant sources and understand how easy it is to collect and make available to your employees, you begin to realize the enormous potential real-time web data offers.

Media3 offers an exclusive training program. The total training program will take 2 months of time with 5 sessions per week. The final Capstone project will take 1 week of time, With 15 hours of live development experience.

Learn, Work & innovate @ Media3

Course Overview

Introduction

Getting Started with Python

Installation,
Print and Strings,
Math.

Variables, Loops and Statements:

Variables ,
While Loops ,
For Loops,
If Statements,
If Else Statements,
If Elif Else Statements.

Functions and Variables

Functions,
Function Parameters,
Global and Local Variables.

Understanding Error Detection

Common Python Errors.

Working with Files and Classes

Writing to a File,
Appending to a File,
Reading From a File,
Classes.

Intermediate Python

Input and Statistics,
Import Syntax,
Making Modules,
Error Handling – Try and Accept
Lists vs,
Tuples and List Manipulation
Dictionaries

Final Project

Project: Making a Python Program