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Data Science Happy Hours 11, 27NOV2020

1:12:10
 
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已归档的系列专辑 ("不活跃的收取点" status)

When? This feed was archived on February 26, 2024 18:29 (2M ago). Last successful fetch was on December 04, 2022 06:32 (1+ y ago)

Why? 不活跃的收取点 status. 我们的伺服器已尝试了一段时间,但仍然无法截取有效的播客收取点

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 278807375 series 2652351
内容由Harpreet Sahota提供。所有播客内容(包括剧集、图形和播客描述)均由 Harpreet Sahota 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

The Data Science Happy Hours keep getting happier!

Guest's that came by: Thom Ives, Dave Langer, Giovanna Malaga, Monica Kay Royal, and so many more!

Check it out and don't forget to register for future office hours: http://bit.ly/adsoh

If you want to interact with me multiple times a week, join Data Science Dream Job for 70% off: http://dsdj.co/artists70

Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFw_ty92wJoWzoO7WlfaM7iYB8_qjm

We were voted one of the top ten data science podcasts by FeedSpot - check it out here: https://blog.feedspot.com/data_science_podcasts/

Checkout Nicole's article shouting out the show: https://towardsdatascience.com/supercharge-data-science-3da3ccf103-13da3ccf103

I was on the Rising Laterally Podcast, check it out here: https://www.youtube.com/watch?v=cz6SpTi7tLc

SHOW NOTES

[00:04:28] New to data science, trying to get to work experience, and need some tips

[00:08:04] How do I find out what problems data scientists solving in various industries?

[00:11:03] How to stay up on trends in the industry

[00:12:52] How to understand what the business needs

[00:14:52] One of the most interesting hires Joe made was a 19 year old punk rocker

[00:16:07] Have more than just technical virtuosity

[00:17:35] How to go from academia to industry

[00:20:07] What challenges do you see somebody facing coming from an academic background that primarily uses R in that research setting to somebody who's going to be using it in a business type of role?

[00:21:41] How to get hired at Amazon

[00:22:49] Speaking of getting a job at Amazon, LinkedIn top twenty twenty cockier is actually an employee of Amazon. So what does someone need to do to get a job at Amazon?

[00:25:30] Your previous work experience can still benefit you

[00:26:35] Do you need a masters in to be a data scientist?

[00:30:21] Don’t lead a life of meeting spec

[00:33:58] Books to get business intuition

[00:35:08] I just completed a masters in math, do I need to do a bootcamp?

[00:38:30] Some great recommendations for SQL
each project.

[00:41:08] I'd like to get my management onboard into automating data integration and consistent dashboards. Do you have any specific suggestions for what goes into the elevator pitch to management over?

[00:44:56] How to get ETL experience when you already know SQL

[00:47:39] A question on text analytics

[00:51:35] How much big data knowledge do I need?

[00:54:39] What do you think is causing the shift back to the data warehouse?

[00:57:08] Which book should I read to get up to speed on production ready code?

[00:58:57] How do I choose the right data and how do I solve a problem?

[01:01:08] Greg asks an awesome question about costs and benefits of automation

[01:07:39] What makes a good data scientist?

Special Guest: Greg Coquillo.

  continue reading

274集单集

Artwork
icon分享
 

已归档的系列专辑 ("不活跃的收取点" status)

When? This feed was archived on February 26, 2024 18:29 (2M ago). Last successful fetch was on December 04, 2022 06:32 (1+ y ago)

Why? 不活跃的收取点 status. 我们的伺服器已尝试了一段时间,但仍然无法截取有效的播客收取点

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 278807375 series 2652351
内容由Harpreet Sahota提供。所有播客内容(包括剧集、图形和播客描述)均由 Harpreet Sahota 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

The Data Science Happy Hours keep getting happier!

Guest's that came by: Thom Ives, Dave Langer, Giovanna Malaga, Monica Kay Royal, and so many more!

Check it out and don't forget to register for future office hours: http://bit.ly/adsoh

If you want to interact with me multiple times a week, join Data Science Dream Job for 70% off: http://dsdj.co/artists70

Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFw_ty92wJoWzoO7WlfaM7iYB8_qjm

We were voted one of the top ten data science podcasts by FeedSpot - check it out here: https://blog.feedspot.com/data_science_podcasts/

Checkout Nicole's article shouting out the show: https://towardsdatascience.com/supercharge-data-science-3da3ccf103-13da3ccf103

I was on the Rising Laterally Podcast, check it out here: https://www.youtube.com/watch?v=cz6SpTi7tLc

SHOW NOTES

[00:04:28] New to data science, trying to get to work experience, and need some tips

[00:08:04] How do I find out what problems data scientists solving in various industries?

[00:11:03] How to stay up on trends in the industry

[00:12:52] How to understand what the business needs

[00:14:52] One of the most interesting hires Joe made was a 19 year old punk rocker

[00:16:07] Have more than just technical virtuosity

[00:17:35] How to go from academia to industry

[00:20:07] What challenges do you see somebody facing coming from an academic background that primarily uses R in that research setting to somebody who's going to be using it in a business type of role?

[00:21:41] How to get hired at Amazon

[00:22:49] Speaking of getting a job at Amazon, LinkedIn top twenty twenty cockier is actually an employee of Amazon. So what does someone need to do to get a job at Amazon?

[00:25:30] Your previous work experience can still benefit you

[00:26:35] Do you need a masters in to be a data scientist?

[00:30:21] Don’t lead a life of meeting spec

[00:33:58] Books to get business intuition

[00:35:08] I just completed a masters in math, do I need to do a bootcamp?

[00:38:30] Some great recommendations for SQL
each project.

[00:41:08] I'd like to get my management onboard into automating data integration and consistent dashboards. Do you have any specific suggestions for what goes into the elevator pitch to management over?

[00:44:56] How to get ETL experience when you already know SQL

[00:47:39] A question on text analytics

[00:51:35] How much big data knowledge do I need?

[00:54:39] What do you think is causing the shift back to the data warehouse?

[00:57:08] Which book should I read to get up to speed on production ready code?

[00:58:57] How do I choose the right data and how do I solve a problem?

[01:01:08] Greg asks an awesome question about costs and benefits of automation

[01:07:39] What makes a good data scientist?

Special Guest: Greg Coquillo.

  continue reading

274集单集

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