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TweetLens: Unveiling Insights from Twitter Data
Shruti Adoni
Shruti Adoni
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TweetLens: Unveiling Insights from Twitter Data

Analyze and transform raw tweets into interactive visualizations to derive actionable insights using the Twitter API.

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Mondays
 at
7:00
P.M.
 ET /
4:00
P.M.
PT
8 weeks, 2-3 hours per week
Intermediate
No experience required
No experience required
Some experience required
Degree and experience required

Description

In today's data-driven world, businesses rely heavily on social media analytics to extract valuable insights from platforms like Twitter, making it a crucial skill for entry-level data analysts and engineers. In this Build Project, you'll wear the hat of a Business Intelligence Analyst and develop a pipeline to analyze and transform raw tweet data into interactive visualizations for actionable insights. Under the supervision of an experienced industry expert, you'll fetch Twitter data via the API, preprocess and clean it, and visualize trends and patterns using tools like matplotlib, seaborn etc. You'll become familiar with industry tools and methodologies like Python, data wrangling, and data visualization techniques. All this will happen in an environment that simulates the operations of a real analytics team, preparing you for the fast-paced world of data analysis and visualization.

Session timeline

  • Applications open
    January 16, 2024
  • Application deadline
    February 18, 2025
  • Project start date
    Week of July 8, 2024
    Week of
    March 10, 2025
  • Project end date
    Week of

What you will learn

  • Gain hands-on experience in authenticating and using an API to collect data programmatically.
  • Learn to clean and process unstructured text data to prepare it for analysis.
  • Create insightful visualizations to identify trends and patterns in Twitter data.
  • Use Python Libraries for structured data analysis and visualization.

Project workshops

1
Project Introduction and Overview
2
Introduction to APIs
3
Fetching Twitter Data
4
Data Preprocessing with Pandas
5
Visualizing Data
6
Publishing project to Git
7
Review of the project
8
Project Presentation and Final Submission

Prerequisites

  • Some first experience with general programming & problem solving
  • Experience with basic Python (loops, conditions, functions, libraries, simple algorithms)
  • Some exposure to Python libraries (matplotlib, pandas)
  • Using Jupyter Notebook
  • Presentation skills to demoing the deliverable
  • Understanding of Visualization Techniques

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About the expert

Shruti Adoni

Business Intelligence Fellow
Open Avenues Foundation

Shruti Adoni is a Business Intelligence Build Fellow at Open Avenues Foundation, where she works with students leading projects in Business Intelligence.

Shruti is a Data Engineer at Citadel Securities, where she focuses on building and maintaining data pipelines and infrastructure to support Salesforce team's integration and analytics needs. Her role also involves providing clean, structured data for analytics and reporting while collaborating with cross-functional teams to address business needs. Additionally, she prioritizes compliance, security, and performance optimization to handle large-scale data efficiently and securely.

Shruti has over three years of experience in the Business Intelligence field. Previously she worked as a business analyst at GE Appliances

She holds a Masters in Business Analytics.

A fun fact about Shruti is that she speaks 5 languages!

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Shruti
's Linkedin
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