Episode 155
| December 12, 2018
| 40 minutes
Data Science
Do you want to be a data scientist? Do you even know what data science is? In this episode, we tackle the idea of being a data scientist and discuss the criteria and what it may take to get the job description of data scientist. So not everyone feels out in the cold, our guest Brad Llewellyn, talks about how this field has developed out of data analysis and how we may have much more in common than differences between us.
Brad’s video “What is a Data Scientist and How Do I Become One?”
David Eldersveld’s blog post for R and Python in PowerBI
Episode Quotes
“I want to say the cloud, in its massive computing powers, is really what’s brought [data science] to the forefront.”
“I don’t like to think of BI and data science as two different things. I like to just refer to both of them as analytics and they’re just different tools for the same job.”
“Pick up one of those easy to use tools that really helps you learn how data works, and then learn the fundamentals of data, and then you can transition into data science, because if it’s 80% ETL and data cleansing, then you need to know ETL and data cleansing to do data science.”
Listen to Learn
00:40 Intro
01:33 Compañero Shout-Outs
02:38 What Have I Learned
03:57 SQL Server in the News
07:07 Intro to the guest and topic
08:50 No one was talking about data science five years ago
10:45 Neural networks, expanded computing power, a combination
13:25 Low or no code machine learning
14:30 Are business intelligence and data science cousins?
17:06 Data scientist, data science technician, data science analyst, data science engineer, data engineer…differences?
21:38 An organization is ready for a data science project when…
25:40 Recommendations for those who would like to get into data science
27:16 Brad’s opinion on current low code/no code products
30:24 Prognostications on the next three years in data science
31:28 SQL Family Questions
38:58 Closing Thoughts
Credits
Music for SQL Server in the News by Mansardian
Our Guest
Brad Llewellyn
Brad is a Senior Data Science Consultant at Syntelli Solutions in Charlotte, NC. Brad helps individuals and organizations unravel the Data Science world in order to figure out how it can work for them. He has an M.S. in Statistics from the University of South Carolina, MCSE Certification in Data Management and Analytics, MCSE Certification in Cloud Platform and Infrastructure and various MCSA Certifications in Business Intelligence and Advanced Analytics. Brad is an active blogger at breaking-bi.blogspot.com. He is also an organizer for the Charlotte BI Group, a local PASS chapter in Charlotte, NC. You can connect with him on LinkedIn at https://www.linkedin.com/in/bradllewellyn and on Twitter @BreakingBI.
Meet the Hosts
Carlos Chacon
With more than 10 years of working with SQL Server, Carlos helps businesses ensure their SQL Server environments meet their users’ expectations. He can provide insights on performance, migrations, and disaster recovery. He is also active in the SQL Server community and regularly speaks at user group meetings and conferences. He helps support the free database monitoring tool found at databasehealth.com and provides training through SQL Trail events.
Eugene Meidinger
Eugene works as an independent BI consultant and Pluralsight author, specializing in Power BI and the Azure Data Platform. He has been working with data for over 8 years and speaks regularly at user groups and conferences. He also helps run the GroupBy online conference.
Kevin Feasel
Kevin is a Microsoft Data Platform MVP and proprietor of Catallaxy Services, LLC, where he specializes in T-SQL development, machine learning, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL, president of the Triangle Area SQL Server Users Group, and author of the books PolyBase Revealed (Apress, 2020) and Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python (Apress, 2022). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.
Want to Submit Some Feedback?
Did we miss something or not quite get it right? Want to be a guest or suggest a guest/topic for the podcast?