Data Analytics
Data analytics is essential because it transforms raw data into actionable insights, enabling businesses to make informed decisions, identify trends, and optimize performance. By leveraging data, organizations can improve efficiency, predict future outcomes, and gain a competitive edge in their industry. It also helps uncover hidden patterns and opportunities, driving innovation and growth.
Apple Twitter Sentiment Analysis
In the following notebook I will be performing a sentiment analysis on a collection of tweets about Apple Inc. The data can be obtained from the following link. After preprocessing, the tweets are labeled as either positive (i.e. I love my new iphone!) or negative. (i.e. Apple's customer service stinks!) I will conclude this write-up with an analysis of the words that are most indicative of a negative or positive tweet.
Clustering
The purpose of this notebook is to research and apply best practices for clustering discrete data. (From surveys) I will be using the data obtained from a large scale survey of the tech workforce, which asks questions about mental health in the workplace.
Calculation testing in Tableau – A beginners guide
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Airtable and Alteryx
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