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Episode 5: Applied Statistics in Data Science with Christopher Peters
Show Notes:
- (2:05) Chris recalled his Econometrics and Quantitative Economics study during his undergraduate days.
- (4:14) Chris talked about his research work focus on oil and gas at the Center for Energy Studies at Louisiana State University.
- (5:53) Chris gave some insights on how data science and econometrics can solve problems in the energy industry.
- (7:51) Chris talked about his decision to pursue a Masters in Applied Statistics.
- (9:02) Chris emphasized the importance of learning statistical theory. In particular, survival analysis is very similar to conversion rate analysis.
- (10:28) Chris discussed his Master’s thesis work in analyzing the churn rate for Treehouse.
- (12:05) Chris maintained his own website called Statwonk.
- (13:18) Chris mentioned the popularity of count data on consumer products.
- (14:40) Chris gave some recommendations for those who want to learn fundamental statistics: Think Stats, Think Bayes, Statistical Inference, and Statistical Intervals.
- (16:20) Chris recalled how he got a job as the first data scientist at Treehouse.
- (16:52) Chris described Treehouse CEO Ryan Carson as a “marketing genius.”
- (18:34) Chris spotted the number one most challenging aspect for a data scientist within a business - translating technical jargon to comprehensible concepts.
- (20:11) Chris recalled building a company dashboard from scratch for Treehouse.
- (22:46) Chris shared the background overview of his next employer, Zapier.
- (24:25) Chris shared his favorite things working as a data scientist as Zapier.
- (32:07) Chris recalled building an AnamolyBot to keep track of Slack communication between Zapier team members.
- (36:33) Chris talked about the open-source project he has been working on during his spare time.
- (39:10) Chris gave advice for people who want to seek remote positions.
- (42:20) Closing segments.
His Contact Info:
- Website
- GitHub
His recommended resources:
- Shopify’s Cameron-Davidson Pilon
- Stitch Fix’s Kim Larsen
- R for Data Science
- Hadley Wickham
- John Tukey’s “Exploratory Data Analysis”
- William Cleveland’s “The Elements of Graphing Data”
- #rstats
- #PyData
This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit datacast.substack.com/subscribe
View all episodes
By James LeShow Notes:
- (2:05) Chris recalled his Econometrics and Quantitative Economics study during his undergraduate days.
- (4:14) Chris talked about his research work focus on oil and gas at the Center for Energy Studies at Louisiana State University.
- (5:53) Chris gave some insights on how data science and econometrics can solve problems in the energy industry.
- (7:51) Chris talked about his decision to pursue a Masters in Applied Statistics.
- (9:02) Chris emphasized the importance of learning statistical theory. In particular, survival analysis is very similar to conversion rate analysis.
- (10:28) Chris discussed his Master’s thesis work in analyzing the churn rate for Treehouse.
- (12:05) Chris maintained his own website called Statwonk.
- (13:18) Chris mentioned the popularity of count data on consumer products.
- (14:40) Chris gave some recommendations for those who want to learn fundamental statistics: Think Stats, Think Bayes, Statistical Inference, and Statistical Intervals.
- (16:20) Chris recalled how he got a job as the first data scientist at Treehouse.
- (16:52) Chris described Treehouse CEO Ryan Carson as a “marketing genius.”
- (18:34) Chris spotted the number one most challenging aspect for a data scientist within a business - translating technical jargon to comprehensible concepts.
- (20:11) Chris recalled building a company dashboard from scratch for Treehouse.
- (22:46) Chris shared the background overview of his next employer, Zapier.
- (24:25) Chris shared his favorite things working as a data scientist as Zapier.
- (32:07) Chris recalled building an AnamolyBot to keep track of Slack communication between Zapier team members.
- (36:33) Chris talked about the open-source project he has been working on during his spare time.
- (39:10) Chris gave advice for people who want to seek remote positions.
- (42:20) Closing segments.
His Contact Info:
- Website
- GitHub
His recommended resources:
- Shopify’s Cameron-Davidson Pilon
- Stitch Fix’s Kim Larsen
- R for Data Science
- Hadley Wickham
- John Tukey’s “Exploratory Data Analysis”
- William Cleveland’s “The Elements of Graphing Data”
- #rstats
- #PyData
This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit datacast.substack.com/subscribe