Anthony-DataScience @AJBowen_
Passionate about all things data! Exploring the endless possibilities of Data Science. #DataScience #MachineLearning #AI Joined February 2015-
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I didn’t appreciate life enough before this canker sore.
My professor says statistics are fun not scary.
I love math. It helps if you beat the light tho. lol
No one makes “millions” a year with no credibility and still wants to teach nobodies. STOP FALLING FOR THE COURSES.
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mf is that Ba Sing Se
A 3D model of what Baghdad looked like in the 8th century.
🧐🔄 Step into the world of #DataWrangling with me!🧵It’s not just about cleaning data; it’s an art form where raw numbers transform into clear insights. 🎨✨ From discovery to validation, every step is a leap towards data-driven decisions. 🚀 #DataScience #AnalyticsJourney
In summary, data science plays a crucial role in analyzing these metrics, identifying trends, and informing strategic decisions for social media management. By understanding user behavior and engagement, businesses and individuals can enhance their Twitter presence and connect…
8)Media Views: *Media views include the total views of images, GIFs, and other media files attached to your tweets. *Data science can help evaluate media impact and optimize visual content.
7)Likes: *Likes (or favorites) indicate how many users appreciated your tweets by clicking the heart icon. *Data scientists can study likes to identify popular content themes and user preferences.
6)Replies: *Replies count the number of times users responded to your tweets. *Data science can analyze reply patterns, sentiment, and engagement context to improve communication strategies.
5)New Followers: *New followers represent the number of users who started following your account during a specific period. *Data scientists can study follower growth patterns, demographics, and engagement levels to refine content strategies.
4)Link Clicks: *Link clicks indicate how many times users clicked on links shared in your tweets. *Data science can help analyze which links are most effective, track conversion rates, and optimize link placement.
3) Profile Visits: *Profile visits represent the number of times users visited your Twitter profile. *Data scientists can analyze profile visits to understand user behavior, track changes over time, and tailor profile content to attract more visitors.
2)Engagement Rate: *Engagement rate is the percentage of people who interacted with your tweets (likes, retweets, replies, etc.) relative to the total number of impressions. *Data scientists can use engagement rate to measure user engagement, identify popular content, and…
1) Impressions: *Impressions refer to the total number of times your tweets were displayed on users’ screens. It includes both organic (non-paid) and promoted impressions. *In data science, understanding impressions can help analyze the reach and visibility of content. It’s…
Data science isn’t just numbers and code; it’s about connecting with a global community of innovators. Let’s keep the conversation going! 💬📈 #DataScience #CommunityEngagement Check out this thread to see how each of these analytics works and how it could be used in Data…
@AJBowen_ Yes. I own my own business and work from home.
Besides hobbies, what are your coding and tech?
Besides coding and tech, what are your hobbies?
@gunsnrosesgirl3 Who knew there were so many ways to tie shoes? This is some next level knot knowledge!
No one makes “millions” a year with no credibility and still wants to teach nobodies. STOP FALLING FOR THE COURSES.
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