Michael Atlin on the Impact of Data Science Bootcamp

Data Science Dojo · Beginner ·🧠 Large Language Models ·9y ago

Key Takeaways

Data Science Dojo's in-person bootcamp helped Michael Atlin overcome struggles with learning data science online, particularly with statistical concepts like regression, by providing an interpersonal connection with the teacher and a set of applicable tools.

Full Transcript

I've been trying to learn data science on my own uh I don't have much of a statistical background so it's been hard and I've been sort of struggling with the math and with the the various models I don't learn very well online I don't learn well from videos and I really need an interpersonal connection with the teacher to make very much progress at least initially one of the things that I've always sort of had trouble getting was the math behind regressions and Raja did such a good job of breaking down the problems and I would have it would have taken me a lot more time to understand what's going on if I hadn't come to the boot camp I really enjoyed it it did what I wanted I needed to get over that hump and now I've got a set of tools that I can apply immediately both at work and in my personal projects and uh I feel much more confident going into further learning I I didn't expect to come out of the boot camp knowing everything but I feel much better positioned to continue my development

Original Description

Michael Atlin from Toronto's August 2016 cohort discusses why in-person learning is better than online learning and how Data Science Dojo helped him get started with data science in a matter of one week. -- At Data Science Dojo, we believe data science is for everyone. Our data science trainings have been attended by more than 10,000 employees from over 2,500 companies globally, including many leaders in tech like Microsoft, Google, and Facebook. For more information please visit: https://hubs.la/Q01Z-13k0 💼 Learn to build LLM-powered apps in just 40 hours with our Large Language Models bootcamp: https://hubs.la/Q01ZZGL-0 💼 Get started in the world of data with our top-rated data science bootcamp: https://hubs.la/Q01ZZDpt0 💼 Master Python for data science, analytics, machine learning, and data engineering: https://hubs.la/Q01ZZD-s0 💼 Explore, analyze, and visualize your data with Power BI desktop: https://hubs.la/Q01ZZF8B0 #datascience #bootcamp #llm #datanalytics
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16 Andrew Choi on the Impact of Data Science Bootcamp
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18 Michael DAndrea on the Impact of Data Science Bootcamp
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23 Enhancing Skills with Data Science Bootcamp: Sharon Lane-Getaz's Revelation
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24 Ryan DeMartino on the Impact of Data Science Bootcamp
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25 Software Engineer at Microsoft Reveals About His Experience with Data Science Bootcamp
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26 Wade Wimer on the Impact of Data Science Bootcamp
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28 Applying Data Science Skills to The Current Role with Bootcamp: Marcos Lacayo's Revelation
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29 Lance Milner on the Impact of Data Science Bootcamp
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30 Deloitte's Data Scientist Revelation: Learning Predictive Analytics with Data Science Bootcamp
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31 Rajesh Patil's Experience at Data Science Bootcamp As an Enterprise Architect
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Michael Atlin on the Impact of Data Science Bootcamp
Michael Atlin on the Impact of Data Science Bootcamp
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50 Bank of America Data Scientist Reveals His Experience of Data Science Bootcamp
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51 Shaena Montanari on the Impact of Data Science Bootcamp
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54 Data Aggregation | Introduction to Data Mining | Part 10
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55 Data Cleaning | Introduction to Data Mining | Part 9
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Michael Atlin discusses how Data Science Dojo's in-person bootcamp helped him learn data science, particularly with statistical concepts like regression, and how it provided an interpersonal connection with the teacher and a set of applicable tools. This bootcamp experience allowed him to overcome his struggles with online learning and feel more confident in continuing his development. The key takeaway is that in-person learning can be more effective for some individuals, especially when it come

Key Takeaways
  1. Recognize the importance of interpersonal connection in learning
  2. Identify the challenges of online learning for complex topics
  3. Consider in-person bootcamps or training programs for data science education
  4. Apply statistical concepts like regression to real-world problems
  5. Develop a set of applicable tools for data science projects
💡 In-person learning can be more effective for complex topics like data science, especially for individuals who struggle with online learning or need an interpersonal connection with the teacher.

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