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Published on:

26th Jul 2023

68: Difference between Data Science and Data Analytics

In this episode of Data Career Podcast, I explore Data Analytics vs Data Science, highlighting key differences and stress the fluidity between data science and analytics. Don't miss it! 📩 Get my weekly email with helpful data career tips 📊 Come to my next free “How to Land Your First Data Job” training 🏫 Check out my 10-week data analytics bootcamp Timestamps: (00:56) - Predictive Analytics: Foreseeing the Future 🔮📈 (01:43) - Diagnostic Analytics: Unraveling "Why" 🕵️‍♂️🔍 (02:10) - Analytics in Book Sales 📚📊 (03:09) - Data Scientists: Masters of Prediction 🧠🎯 (03:56) - Decoding Data Analytics vs. Data Science 🗝️💻 (05:26) - Gateway to Success: Landing a Data Job 🚪💼 Connect with Avery: 📺 Subscribe on YouTube 🎙Listen to My Podcast 👔 Connect with me on LinkedIn 📸 Instagram 🎵 TikTok
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About the Podcast

Data Career Podcast: Helping You Land a Data Analyst Job FAST
The Data Career Podcast: helping you break into data analytics, build your data career, and develop a personal brand

About your host

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Avery Smith

Avery Smith is the host of The Data Career Podcast & founder of Data Career Jumpstart, an online platform dedicated to helping individuals transition into and advance within the data analytics field. After studying chemical engineering in college, Avery pivoted his career into data, and later earned a Masters in Data Analytics from Georgia Tech. He’s worked as a data analyst, data engineer, and data scientist for companies like Vaporsens, ExxonMobil, Harley Davidson, MIT, and the Utah Jazz. Avery lives in the mountains of Utah where he enjoys running, skiing, & hiking with his wife, dog, and new born baby.