19 episodes

Sharing concepts, ideas, and codes

Towards Data Science The TDS team

    • Technology

Sharing concepts, ideas, and codes

    19. Will Koehrsen - Self-Learning Data Science and Sharing the Knowledge on Medium

    19. Will Koehrsen - Self-Learning Data Science and Sharing the Knowledge on Medium

    Podcast interview with one of our top data science writers, Will Koehrsen.

    Let’s go!  Here’s Will’s article about what he learned from writing a data science article every week for a year: https://towardsdatascience.com/what-i-learned-from-writing-a-data-science-article-every-week-for-a-year-201c0357e0ce

    This episode was hosted by YK from CS Dojo: https://www.instagram.com/ykdojo/

    • 30 min
    18. Edouard Harris - Mastering the data science job hunt

    18. Edouard Harris - Mastering the data science job hunt

    Getting hired as a data scientist, machine learning engineer or data analyst is hard. And if there’s one person who’s spent a *lot* of time thinking about why that is, and what you can do about it if you’re trying to break into the field, it’s Edouard Harris.

    Ed is the co-founder of SharpestMinds, a data science mentorship program that’s free until you get a job. He also happens to be my brother, which makes this our most nepostistic episode yet.

    • 52 min
    17. Nate Nichols - Product instinct and data storytelling

    17. Nate Nichols - Product instinct and data storytelling

    If there’s one trend that not nearly enough data scientists seem to be paying attention to heading into 2020, it’s this: data scientists are becoming product people.

    Five years ago, that wasn’t the case at all: data science and machine learning were all the rage, and managers were impressed by fancy analytics and build over-engineered predictive models. Today, a healthy dose of reality has set in, and most companies see data science as a means to an end: it’s way of improving the experience of real users and real, paying customers, and not a magical tool whose coolness is self-justifying.

    At the same time, as more and more tools continue to make it easier and easier for people who aren’t data scientists to build and use predictive models, data scientists are going to have to get good at new things. And that means two things: product instinct, and data storytelling.

    That’s why we wanted to chat with Nate Nichols, a data scientist turned VP of Product Architecture at Narrative Science — a company that’s focused on addressing data communication. Nate is also the co-author of Let Your People Be People, a (free) book on data storytelling.

    • 47 min
    16. Helen Ngo - Real Talk with Machine Learning Engineer

    16. Helen Ngo - Real Talk with Machine Learning Engineer

    In this podcast episode, Helen Ngo and YK (aka CS Dojo) discuss deep fake, NLP, and women in data science.

    • 29 min
    15. Ian Xiao - Why Machine Learning Is More Boring Than You May Think

    15. Ian Xiao - Why Machine Learning Is More Boring Than You May Think

    In this podcast interview, YK (aka CS Dojo) asks Ian Xiao about why he thinks machine learning is more boring than you may think. 



    Original article: https://towardsdatascience.com/data-science-is-boring-1d43473e353e 

    • 11 min
    14. Jeremie Harris - Building a Data Science Startup & Getting Into Data Science

    14. Jeremie Harris - Building a Data Science Startup & Getting Into Data Science

    The other day, I interviewed Jeremie Harris, a SharpestMinds cofounder, for the Towards Data Science podcast and YouTube channel. SharpestMinds is a startup that helps people who are looking for data science jobs by finding mentors for them.

    In my opinion, their system is interesting in a way that a mentor only gets paid when their mentee lands a data science job. I wanted to interview Jeremie because I had previously spoken to him on a different occasion, and I wanted to personally learn more about his story, as well as his thoughts on today’s data science job market.

    • 20 min

Customer Reviews

HTMLdev ,

much needed podcast

A data science podcast you can enjoy. Although I wish towards data science was its own website and not hosted on medium - I decided to just pay the $5/month so I could get access to the content. All the content they write has been extremely helpful to someone like me who is trying to get into the data science field. The amount of information you get for $5/month is a steal! While
browsing I discovered they had a podcast. I’ve been searching for a good data science podcast that fit me and have had the hardest time until now. Thank you for this and please never stop!

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