📺 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!

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👥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