Data Science Interview Prep

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As a data science professional, I know firsthand how challenging it can be to navigate the job market and prepare for interviews. That's why I started this podcast - to provide valuable resources to those looking to break into the field of data science.Running a podcast takes a lot of time and effort, so please consider supporting us. Become a Paid Subscriber: ⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠

As a data science professional, I know firsthand how challenging it can be to navigate the job market and prepare for interviews. That's why I started this podcast - to provide valuable resources to those looking to break into the field of data science.Running a podcast takes a lot of time and effort, so please consider supporting us. Become a Paid Subscriber: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠

As you may have noticed, The Data Science Interview Prep Podcast has been away for a few months. Here's why! Now, we're back on track and ready to help you prepare for your next big interview in all things Data Science.

Apologies we were a little delayed on getting this episode out. We had some account issues, but hope you enjoy the episode! This episode will be available as free for a limited time.

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Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Check out this high-level overview into the Hadoop ecosystem! Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Learn about GMMs, a popular data science model! Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Check out one of our popular past episodes on the classic, Word2Vec! Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Enjoy our content? Support us as a premium subscriber to the Data Science Interview Prep Podcast. Your contribution keeps us going! Subscribe and join our journey! Spotify: ⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠ 

We're adding applied topics to our episode roster - let us know what you think in the comments. In this episode, we discuss how to apply data science to customer segmentation. Become a Paid Subscriber to access our full library on Spotify: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ 

Reinforcement learning is all around us - from playing Go to building robots. To unlock this episode, become a premium subscriber today! Become a Paid Subscriber for access to the full Data Science Interview Prep Podcast library: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠ ($5 donation) or ⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠

Let's jump into statistics and understand how we can ensure our results are truly significant! Become a Paid Subscriber for access to the full Data Science Interview Prep Podcast library: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠ ($5 donation) or ⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Are you interviewing to become a Product Data Scientist? Or are you looking to understand associations between your data? If so, make sure to understand Chi-Square, a fundamental statistical topic. Become a Paid Subscriber for access to the full Data Science Interview Prep Podcast library: ⁠⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠ ($5 donation) or ⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Mock Interview II. Become a Paid Subscriber to The Data Science Interview Prep Podcast for access to our full library: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠ ($5 donation) or ⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Brush up on your knowledge about maximum likelihood estimation, which is important to know in Data Science and Statistics! Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠⁠⁠Patreon⁠⁠⁠⁠ ($5 donation) or ⁠⁠⁠⁠Spotify⁠⁠⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

A Markov chain is known as a stochastic model which describes some sequence of possible events in which the probability of each event depends only on the state from the previous event. Markov chains are used widely in our modern world in many modelling scenarios, so it's certainly helpful to know this as your refresh on topics for a Data Science interview. Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠Patreon⁠⁠ ($5 donation) or ⁠⁠Spotify⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Knowing about GANs in deep learning is crucial to understand since they can generate new and realistic data! Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠Patreon⁠ ($5 donation) or ⁠Spotify⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Multicollinearity is a concept that comes up quite frequently in Data Science interviews in my experience, so make sure you take some time to review these concepts before your next technical! Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy The Data Science Interview Prep Podcast, please consider becoming a premium member on either ⁠⁠Patreon⁠⁠ ($5 donation) or ⁠⁠Spotify⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

If you're new to the world of data, you might be curious about what role is right for you - Data Scientist, Analyst, or Machine Learning Engineer. This bonus episode deviates from our usual content to help you get a rough picture of the differences (and similarities) between these roles. Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy The Data Science Interview Prep Podcast, please consider becoming a premium member on either ⁠Patreon⁠ ($5 donation) or ⁠Spotify⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Activation functions are an important part of neural networks, so knowing them helps you build smarter models! Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠Patreon⁠ ($5 donation) or ⁠Spotify⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Hyperparameter tuning is a must know if you want to understand data science model optimization! Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠Patreon⁠ ($5 donation) or ⁠Spotify⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Mastering the Central Limit Theorem in data science interviews helps you shine with solid statistical prowess! Make sure you brush up on this common statistical concept before your next interview. Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠Patreon⁠⁠ ($5 donation) or ⁠⁠Spotify⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

CI/CD in Data Science and ML helps get models from idea to deployment faster and with fewer errors! If you're interested in production ML, be sure to check out this episode for high-level overview into CI/CD. Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠Patreon⁠ ($5 donation) or ⁠Spotify⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

As a data scientist, knowing about multi-armed bandits is pretty handy because they're a go-to tool for optimizing decisions with limited resources! Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠Patreon⁠ ($5 donation) or ⁠Spotify⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

K-Nearest Neighbours is a common classification algorithm in machine learning. Be sure to refresh your knowledge on this model in your interview prep journey! ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠Patreon⁠ ($5 donation) or ⁠Spotify⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

The Naïve Bayes Classifier can often come up in data science interviews. Be sure to brush up on this model if you're interested in classification! If you're enjoying our podcast, please consider rating us or joining our paid membership. Thank you and happy modelling!

Word2Vec is a must-know if you're interested in Natural Language Processing (NLP) or preparing for any entry-level NLP roles. If you find our episodes helpful, we would really appreciate if you would consider becoming a paid member of our channel to support our growth.

Time complexity is an important concept to know for data science interviews because it can be used to evaluate the efficiency of an algorithm and the scalability of a solution. You never know when you might need this bit of knowledge, either on the job or at an interview!

Dimensionality reduction is a commonly asked about topic in Data Science Interviews. We'll go over the high-level reasons for using dimensionality reduction techniques as well as go into detail on PCA. ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠Patreon⁠ ($5 donation) or ⁠Spotify⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

In today's episode, we'll be discussing regularization, an important technique used to prevent overfitting in machine learning models. If you find these episodes helpful, please consider supporting us on Patreon at patreon.com/user?u=84843123. Your support will help us continue to produce these episodes and improve the show. Thanks for listening!

In this episode, we will provide a high-level overview of cross-validation in machine learning. This concept is fundamental to understanding how to build effective machine learning models, and it is often covered in data science interviews. If you find these episodes helpful, please consider supporting us on Patreon at patreon.com/user?u=84843123. Your support will help us continue to produce these episodes and improve the show. Thanks for listening! ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠Patreon⁠⁠ ($5 donation) or ⁠⁠Spotify⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!