Web Scrapping with Selenium and Data Analysis using IPython Notebook

location_city Bengaluru schedule Jun 24th 02:30 - 02:50 PM IST place Grand Ball Room 1 people 2 Interested

Data Analysis is one of the upcoming field and as many of the data scientists says that the most of time they spend for analysis is on Data cleaning, So, In this short session we will see how one can pull the data from the web using Selenium Webdriver and will use this data further for the Data Analysis, The entire exercise will be executed on a IPython Notebook, which is a tool used to execute & save your code and perform data analysis using python data analysis libraries, it also provides a platform to massage the data and visualize it in the form of graphs and tables.

This entire exercise would be helpful for anyone who wants to understand how data can be pulled with the help of Selenium Webdriver from a website and organized using python libraries for the data analysis. During this session we would be using an open source data for analysis and see how we can draw conclusions using this data.

 
 

Outline/Structure of the Talk

Step 1: Description of IPython Notebook

Step 2: How to execute Selenium Webdriver commands from IPython Notebook

Step 3: How to scrap data from an Open Source Data Website using Selenium Webdriver

Step 4: Convert the data(extracted in step 3) in a meaningful form for data analysis

Step 5: Data Analysis and drawing conclusion out of the data extracted using python data analysis libraries

Step 6: Summarize the Entire exercise

Learning Outcome

a) Selenium users will know how quickly we can execute the automation scripts from the IPython Notebook and everytime Eclipse or any other IDE is not required for executing the scripts.

b) Scrapping Website and Extracting Data

c) Organize the extracted data in the form of python Dictionary and List, Useful for someone who is working on the data and need to understand how  to organize the data

d) Data analysis using python libraries from the extracted data

Target Audience

Automation Testers, or Anyone who is working with Data

Video


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