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In this weekly podcast, Jonas Vitt is talking with data professionals and scholars about how they are using data and data science in their day to day work.
The goal is to give professionals ideas on how to manage and utilize their data in the best way possible.

Somewhat Overfitting - Data Science & Digital Transformation Jonas Vitt

    • Wirtschaft
    • 5,0 • 2 Bewertungen

In this weekly podcast, Jonas Vitt is talking with data professionals and scholars about how they are using data and data science in their day to day work.
The goal is to give professionals ideas on how to manage and utilize their data in the best way possible.

    Episode 9: Moritz Schuster - AI in the Innovation Process

    Episode 9: Moritz Schuster - AI in the Innovation Process

    AI can be used in many areas. From finding the best search results based on a keyword over recommending the next movie to watch to driver-less vehicles.
    This Episode discusses if and how AI can help in each step of the innovation process.

    Show Notes: somewhatoverfitting.com/episode9

    • 36 Min.
    Episode 8: Albert Pusch - Being Data Driven as a Manager

    Episode 8: Albert Pusch - Being Data Driven as a Manager

    In his managing role Albert is not only trying to make his team data-driven, he also mainly uses a tool most likely everyone used before: Microsoft Excel.

    Show Notes: somewhatoverfitting.com/episode8

    • 34 Min.
    Episode 7: Angela-Sophia Gebert – What is Process Mining

    Episode 7: Angela-Sophia Gebert – What is Process Mining

    In this conversation, Angela and Jonas dug deeper into what process mining is, where it can be applied, and how Celonis' Product is supporting Process Mining. They also discussed some of the challenges and the future of Process Mining.

    Show Notes: somewhatoverfitting.com/episode7

    • 25 Min.
    Episode 6: Matt Hilburn - Marketing Research and Data Analytics

    Episode 6: Matt Hilburn - Marketing Research and Data Analytics

    Matt and Jonas discussed where Marketing Research fits into the Data Science field and how it differs from Market Research. They talked about how the EDCUtah uses Surveys, Focus Groups, and one-on-one interviews for their research. Matt also gave some tips for students and companies on how to start with Data Science.

    Show Notes: somewhatoverfitting.com/episode6

    • 43 Min.
    Episode 5: Andrea Rorrer and Matthew Pecsok - Data Science at the Utah Education Policy Center

    Episode 5: Andrea Rorrer and Matthew Pecsok - Data Science at the Utah Education Policy Center

    Andrea, Matt, and Jonas talked about how the UEPC uses data and how it is used to optimize education programs. As a lot of their data is collected offline, we also talked about their problems in the data collection problems. In the end, we talked about using data when planning a curriculum and privacy in education.

    Show Notes: somewhatoverfitting.com/episode5

    • 44 Min.
    Episode 4: Solo Cast - What is Data Literacy?

    Episode 4: Solo Cast - What is Data Literacy?

    In this episode, Jonas is trying something new. Instead of talking to a data professional, he will talk about one topic he researched. Jonas tackles the question of what Data Literacy is, why it is essential, and how to become more data literate.

    The resources quoted can be found in the show notes.

    Show Notes: somewhatoverfitting.com/episode4

    • 11 Min.

Kundenrezensionen

5,0 von 5
2 Bewertungen

2 Bewertungen

Schusteo ,

A great overview about Data Science and digital transformation

Jonas is doing a great job at explaining the world of Data Science for beginners, while asking highly relevant questions to his guests, which are shaping that world. A great podcast for professionals, that want to improve their value creation with data.

Maritma ,

Great podcast for gaining understanding!

Jonas is doing a great Job, asking the right questions and addressing super interesting topics, thanks for sharing!! With only 3 episodes this podcast already provides a very good impression of what it’s like to work with data.

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