Vang Xiong on the Impact of Data Science Bootcamp

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

Key Takeaways

Vang Xiong shares his experience with Data Science Dojo's bootcamp, highlighting the benefits of pre-bootcamp coursework and interpersonal connections among peers, which helped him understand the practical applications of data science.

Full Transcript

the thing with data science dojo is that my one my coworker attended data science dojo last year and he had a really good review of the course what I really wanted out of a course was to try to understand what other people in the industry was doing with you know are doing with data science yeah i think this boot camp is set up in a way where anybody can come in and learn something you're going you're going to get something out of it you guys try to educate us and prep us ahead of time so by the time we get in we can just just start rolling I think this experience is it's more interactive just because of that it it's a lot better when I was taking the Coursera course I even though the videos were often very good and the materials were really good they're just there just wasn't that connection and so it was hard to understand this course kind of brought it all together for me from all the different things I've picked up along the way it just kind of glued it together and so I so far it's been a great experience

Original Description

Vang Xiong, a data analyst and member of our Chicago, October 2016 cohort, reflects on his experience at Data Science Dojo and discusses how the pre-bootcamp coursework allows people of all backgrounds and experiences to follow along while benefitting from the interpersonal connection among their peers. -- 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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1 Feature Engineering and Predictive Modeling | Data Analytics with R and Azure ML | Community Webinar
Feature Engineering and Predictive Modeling | Data Analytics with R and Azure ML | Community Webinar
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2 Data Exploration and Visualization | Beginning Azure ML | Part 3
Data Exploration and Visualization | Beginning Azure ML | Part 3
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3 Reading External Data Sources | Beginning Azure ML | Part 2
Reading External Data Sources | Beginning Azure ML | Part 2
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4 Importing Data, Accessing, & Creating a New Experiment | Beginning Azure ML | Part 1
Importing Data, Accessing, & Creating a New Experiment | Beginning Azure ML | Part 1
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5 Casting Columns & Renaming Columns | Beginning Azure ML | Part 4
Casting Columns & Renaming Columns | Beginning Azure ML | Part 4
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6 Scrub Missing Values & Project Columns | Beginning Azure ML | Part 5
Scrub Missing Values & Project Columns | Beginning Azure ML | Part 5
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7 Feature Engineering & R Script | Beginning Azure ML | Part 6
Feature Engineering & R Script | Beginning Azure ML | Part 6
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8 Building Your First Model | Beginning Azure ML |  Part 7
Building Your First Model | Beginning Azure ML | Part 7
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9 Run and Fine-Tune Multiple Models | Beginning Azure ML | Part 8
Run and Fine-Tune Multiple Models | Beginning Azure ML | Part 8
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10 Deploying Your First Predictive Model As a Web Service | Beginning Azure ML | Part 9
Deploying Your First Predictive Model As a Web Service | Beginning Azure ML | Part 9
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11 Using R API to Obtain Predictions From Your Web Service Beginning Azure ML | Part 10
Using R API to Obtain Predictions From Your Web Service Beginning Azure ML | Part 10
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12 Using Python API to Obtain Predictions From Your Web Service | Beginning Azure ML | Part 11
Using Python API to Obtain Predictions From Your Web Service | Beginning Azure ML | Part 11
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13 Twitter Sentiment Analysis | Natural Language Processing | Community Webinar
Twitter Sentiment Analysis | Natural Language Processing | Community Webinar
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14 Listening to the Melody of the Universe (LIGO Gravitational Waves Presentation) | Community Webinar
Listening to the Melody of the Universe (LIGO Gravitational Waves Presentation) | Community Webinar
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15 David Wechsler on the Impact of Data Science Bootcamp
David Wechsler on the Impact of Data Science Bootcamp
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16 Andrew Choi on the Impact of Data Science Bootcamp
Andrew Choi on the Impact of Data Science Bootcamp
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17 Microsoft's Software Engineer Shares Her Experience with Data Science Bootcamp
Microsoft's Software Engineer Shares Her Experience with Data Science Bootcamp
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18 Michael DAndrea on the Impact of Data Science Bootcamp
Michael DAndrea on the Impact of Data Science Bootcamp
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19 Data Driven Decision-Making with Data Science Bootcamp: Artem Kopelev's Revelation
Data Driven Decision-Making with Data Science Bootcamp: Artem Kopelev's Revelation
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20 Learn the Fundamentals of Data Science: Srinivas Rao's Experience with Data Science Bootcamp
Learn the Fundamentals of Data Science: Srinivas Rao's Experience with Data Science Bootcamp
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21 Re-Learning Data Science with Data Science Bootcamp: Analyst's Revelation
Re-Learning Data Science with Data Science Bootcamp: Analyst's Revelation
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22 Scale R to Big Data with Hadoop & Spark | Community Webinar
Scale R to Big Data with Hadoop & Spark | Community Webinar
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23 Enhancing Skills with Data Science Bootcamp: Sharon Lane-Getaz's Revelation
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
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
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
Wade Wimer on the Impact of Data Science Bootcamp
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27 Analyzing Data with Data Science Bootcamp: Hannah Richta's Revelation
Analyzing Data with Data Science Bootcamp: Hannah Richta's Revelation
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28 Applying Data Science Skills to The Current Role with Bootcamp: Marcos Lacayo's Revelation
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
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
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
Rajesh Patil's Experience at Data Science Bootcamp As an Enterprise Architect
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32 Michael Atlin on the Impact of Data Science Bootcamp
Michael Atlin on the Impact of Data Science Bootcamp
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33 Amina Tariq's In-Person Experience at Data Science Bootcamp
Amina Tariq's In-Person Experience at Data Science Bootcamp
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34 Ceo's Revelation about Data Science Bootcamp
Ceo's Revelation about Data Science Bootcamp
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35 Stephen Miller Describes His Experience at Data Science Dojo's Bootcamp
Stephen Miller Describes His Experience at Data Science Dojo's Bootcamp
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36 Kevin Hillaker on the Impact of Data Science Bootcamp
Kevin Hillaker on the Impact of Data Science Bootcamp
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37 Marko Topalovic's Experience with Data Science Bootcamp
Marko Topalovic's Experience with Data Science Bootcamp
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38 Text Analytics With Python, Cognitive Services & PowerBI | Data Analytics | Community Webinar
Text Analytics With Python, Cognitive Services & PowerBI | Data Analytics | Community Webinar
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39 Unisys Manager's Revelation: Visualizing Real Time Data with Data Science Bootcamp
Unisys Manager's Revelation: Visualizing Real Time Data with Data Science Bootcamp
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40 Learn Data Mining with Data Science Bootcamp: Ryan LaBrie's Revelation
Learn Data Mining with Data Science Bootcamp: Ryan LaBrie's Revelation
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Vang Xiong on the Impact of Data Science Bootcamp
Vang Xiong on the Impact of Data Science Bootcamp
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42 Data Scientist's Experience at Our Data Science Bootcamp
Data Scientist's Experience at Our Data Science Bootcamp
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43 Alejandro Wolf Yadlin on the Impact of Data Science Bootcamp
Alejandro Wolf Yadlin on the Impact of Data Science Bootcamp
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44 Introduction To Titanic Kaggle Competition | Part 1
Introduction To Titanic Kaggle Competition | Part 1
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45 Learning How to Code in R with Data Science Bootcamp: Priscilla Mannuel's Revelation
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46 Andrew Berman On Why Data Science Bootcamp Is Better Fit for Him
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47 How To Do Titanic Kaggle Competition in R | Part 3.1
How To Do Titanic Kaggle Competition in R | Part 3.1
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48 How to do the Titanic Kaggle competition in R | Part 3.1
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49 Delve Deeper into Data Science with Data Science Bootcamp
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50 Bank of America Data Scientist Reveals His Experience of Data Science Bootcamp
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
Shaena Montanari on the Impact of Data Science Bootcamp
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52 Types of Sampling | Introduction to Data Mining | Part 12
Types of Sampling | Introduction to Data Mining | Part 12
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53 Sampling for Data Selection | Introduction to Data Mining | Part 11
Sampling for Data Selection | Introduction to Data Mining | Part 11
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54 Data Aggregation | Introduction to Data Mining | Part 10
Data Aggregation | Introduction to Data Mining | Part 10
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55 Data Cleaning | Introduction to Data Mining | Part 9
Data Cleaning | Introduction to Data Mining | Part 9
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56 Missing & Duplicated Data | Introduction to Data Mining | Part 8
Missing & Duplicated Data | Introduction to Data Mining | Part 8
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57 Data Noise | Introduction to Data Mining | Part 7
Data Noise | Introduction to Data Mining | Part 7
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58 Graph and Ordered Data | Introduction to Data Mining | Part 5
Graph and Ordered Data | Introduction to Data Mining | Part 5
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59 Document Data & Transaction Data | Introduction to Data Mining | Part 4
Document Data & Transaction Data | Introduction to Data Mining | Part 4
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60 Data Quality | Introduction to Data Mining | Part 6
Data Quality | Introduction to Data Mining | Part 6
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Vang Xiong discusses how Data Science Dojo's bootcamp provided him with a comprehensive understanding of data science, connecting theoretical concepts to practical industry applications through interactive learning and peer connections.

Key Takeaways
  1. Research data science bootcamps
  2. Complete pre-bootcamp coursework
  3. Engage with peers and instructors
  4. Apply data science concepts to real-world problems
  5. Reflect on learning experience
💡 Interactive learning and interpersonal connections are crucial for a comprehensive understanding of data science concepts and their practical applications.

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