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About This Course

Who is the target audience?

  • People who are familiar with programming basics
  • Any who is interested in using social media data
  • People who are looking for new approaches to add to their trading strategies
  • Anyone who is interested in uncovering the vast information contained in social media

What will I learn?

  • Contact the Twitter REST API
  • Get insights on how rich the information in social media is
  • Format requests to contact other REST APIs
  • Understand a JSON response
  • Be able to get information out of a JSON response
  • Understand how to get data from social media and integrate it into code
  • Apply their knowledge do stream data live from social media and make effective use of it in their code

What are the requirements?

  • Some knowledge in Python or another programming language

APIs are available on most modern websites and provide an easy way to integrate the websites functionalities into your code. The API that will be focused on is the Twitter API, which will be used to mine tweets about the event.

Social media, especially twitter, is becoming a hot topic among many investors as it’s trends can often predict behavior of the stock market. This course will focus on how Twitter data can be live streamed and will feature a worked example of the Yahoo hack.

Our Promise to You

By the end of this course, you will have learned about APIs and how you can use them to study social media data.

30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today and learn more about APIs and social media data.

Course Curriculum

2h 49m

Section 1 - Getting To Know The Twitter API And The Possibilities Of The Data
What Are APIs 00:00:00
Prerequisite Libraries 00:00:00
Getting Your Twitter Credentials For Authentication 00:00:00
Twitter Time Limitations 00:00:00
A Short Intro To Plotting With Matplotlib-Pyplot 00:00:00
Sending Your First Request To The Twitter API 00:00:00
Dealing With Data In The Response 00:00:00
Getting Tweets From A Specific Time 00:00:00
Getting All Tweets By Moving Backwards In Time 00:00:00
Filtering For English Tweets And Picking Out Keywords 00:00:00
Identifying Relevant Tweets And Keeping Track Of Data 00:00:00
Setting Up For Plotting The Mined Data From Twitter 00:00:00
Adjusting The Maximum Time And Adding Ticks To Our Graph 00:00:00
Analyzing The Relevant Data 00:00:00
Streaming Live Twitter Data And Outlook For The Next Steps 00:00:00
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