26 min
Episode 2: What is/isn't data? + Debate: Skills vs Degree Deep Data Dive
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- Tech News
📺 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, garbage out)
Real-world data is not perfectly ready for data science and a data scientist’s job will involve data cleaning
What skills does one need to be a data scientist and is there only one way to get there?
There are multiple paths into data science but statistics, math, programming, and domain knowledge are all needed
The interview process for becoming a data scientist is designed to assess a candidate’s skills
On-site and take-home data challenges are part of the interview process for all candidates regardless of background
What are the general job requirements for a data scientist?
Most job listings will require at least a Bachelors or Masters in a quantitative discipline
Need to have proficiency in Python, Java, or C++
Familiarity with cloud services is a nice-to-have
What ways are there of getting into data science?
Traditional masters or doctoral programs
Programming bootcamps
Self-learning via free online courses
Will Massive Open Online Courses (MOOCs) change anything?
Learning and staying updated
Keeping up with the newest tools and techniques as part of a data scientist job
Vijay describes his master’s experience
Laura reflects on her educational experience
🎙PODCAST: Listen on the go, free!
Spotify • Amazon Music • Google Podcast • iHeart Radio
👥ABOUT US:
Laura and Vijay are data scientists who enjoy talking about data and sharing their experiences, which is why they started this podcast. Laura worked in credit risk modeling and experimental design. She is also an amateur silversmith. Vijay worked on Deep Learning NLP models and recommender systems. He also loves learning new things, like French. On Deep Data Dive, they will share their work experiences, discuss data science fundamentals, and chat with guests, and more.
📱LET'S CONNECT:
Twitter: @DeepDataDive (www.Twitter.com/DeepDataDive)
🎥VIDEO PRODUCTION & DESIGN:
Dana Donovick, Passion Possible, LLC.
dana@passionpossible.com • 206-222-0740
📺 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, garbage out)
Real-world data is not perfectly ready for data science and a data scientist’s job will involve data cleaning
What skills does one need to be a data scientist and is there only one way to get there?
There are multiple paths into data science but statistics, math, programming, and domain knowledge are all needed
The interview process for becoming a data scientist is designed to assess a candidate’s skills
On-site and take-home data challenges are part of the interview process for all candidates regardless of background
What are the general job requirements for a data scientist?
Most job listings will require at least a Bachelors or Masters in a quantitative discipline
Need to have proficiency in Python, Java, or C++
Familiarity with cloud services is a nice-to-have
What ways are there of getting into data science?
Traditional masters or doctoral programs
Programming bootcamps
Self-learning via free online courses
Will Massive Open Online Courses (MOOCs) change anything?
Learning and staying updated
Keeping up with the newest tools and techniques as part of a data scientist job
Vijay describes his master’s experience
Laura reflects on her educational experience
🎙PODCAST: Listen on the go, free!
Spotify • Amazon Music • Google Podcast • iHeart Radio
👥ABOUT US:
Laura and Vijay are data scientists who enjoy talking about data and sharing their experiences, which is why they started this podcast. Laura worked in credit risk modeling and experimental design. She is also an amateur silversmith. Vijay worked on Deep Learning NLP models and recommender systems. He also loves learning new things, like French. On Deep Data Dive, they will share their work experiences, discuss data science fundamentals, and chat with guests, and more.
📱LET'S CONNECT:
Twitter: @DeepDataDive (www.Twitter.com/DeepDataDive)
🎥VIDEO PRODUCTION & DESIGN:
Dana Donovick, Passion Possible, LLC.
dana@passionpossible.com • 206-222-0740
26 min