Deep Data Dive
We're two data enthusiasts taking weekly deep dives in the world of big data. Follow us on Twitter & watch us on YouTube!
Episodes
This episode is part 2 of our discussion with Jonathan Bechtel, a data science instructor at General Assembly. In this episode we tackle the following topics:
• The job application/hiring process for data science
- Do bootcamps and graduate programs offer a career services office?
- Training for technical screenings
&nb...
Special Guest: Jonathan Bechtel, data science instructor at General Assembly (Worked with multiple companies in NYC and other cities)
(Lots of work with programmatic data extraction and pipelining)
How did we all get into data science?
• Jonathan, Vijay, Laura
Different ways to get into data science
• Bootcamp programs
• Traditional masters
• Self Taught
😎ABOUT US:
Lau...
Episode 3 : Data science and Machine Learning
In this episode, we juxtapose the different types of Machine Learning: supervised, unsupervised, semi-supervised, and reinforcement.
What is the difference between data science and machine learning?
- Machine learning is a sub-discipline within data science
- Machine learning is an application of artificial intelligence
- Machine learning is predictive analytics
- Prescriptive analyt...
📺 WATCH THIS EPISODE: https://youtu.be/8yGucN6FUTI
What looks like data science but isn't?
- Data science is interdisciplinary and one needs to master multiple skills such as math, statistics, programming, some domain knowledge
- These skills in isolation are not data science, and can be used for other fields in different ways
- The need to derive insights and act on them
- You need good data to get good insights (garbage in, g...
EPISODE SUMMARY: What is Data Science?
Episode 1: What is Data Science?
In this episode We discuss the definition of Data and how it relates to Data Science. We also touch upon the ethics of Data Science and the possible futures for it.
Brief introductions
What is data?
- Kid’s height in doorway example
- Number of steps in a fitness tracker example
- Measured record
- Importance of metadata
How does it relate to Data Scie...
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