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It is always assumed that data is available and it is clean and ready to analyze. But the reality is data is hard to find, it is very messy, and it is the biggest hurdle to using data for good and to make decisions.
This episode gets into the details of where your data, where your company's data, and where publicly available data can be located. Topics such as cloud storage, API's, databases, data warehouse, and how you can get started on your data journey.
Special Editor for Episode 09: Big thank you to Samantha Brown, a freshman at Bowling Green State University, who is studying Media Production (and we hope also minor in Data Science).
Episode Links:
Data 4 All Social Media Links
Charlie Yielding Social Media Links
Charlie Apigian Social Media Links
For more information please visit us at www.data4all.io or email us at [email protected].
For more information please visit us at www.data4all.io or email us at [email protected].
For more information please visit us at www.data4all.io or email us at [email protected].
By Charlie Yielding and Charlie Apigian5
1313 ratings
It is always assumed that data is available and it is clean and ready to analyze. But the reality is data is hard to find, it is very messy, and it is the biggest hurdle to using data for good and to make decisions.
This episode gets into the details of where your data, where your company's data, and where publicly available data can be located. Topics such as cloud storage, API's, databases, data warehouse, and how you can get started on your data journey.
Special Editor for Episode 09: Big thank you to Samantha Brown, a freshman at Bowling Green State University, who is studying Media Production (and we hope also minor in Data Science).
Episode Links:
Data 4 All Social Media Links
Charlie Yielding Social Media Links
Charlie Apigian Social Media Links
For more information please visit us at www.data4all.io or email us at [email protected].
For more information please visit us at www.data4all.io or email us at [email protected].
For more information please visit us at www.data4all.io or email us at [email protected].

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