Great example of price optimization. I work for a global retailer and work heavily on data science tools. Its great to see other methods and ways to improve. Keep going! I can tell you 150k is just the beginning!
Great video. One question. Often times prices are not set out for equal periods of time. Therefore a decline in qty doesn’t really mean much if the price was only valid for a couple days. I think really the only way around this is adjusted for the time period and seasonality. Any recommendations on how to approach this?
Could you please share the link for accessing the data and python code related to Price Elasticity and Optimization? or any process to get atleast data?
Am I off base to try to analyze sales compared to 'economic strength'? So instead of price vs volume I would do sales vs inflation rate...is that possible with this approach?
No I dont think you're offbase. I would test adding columns in for different days. For example if you have pricing data in different quarters or even month and the inflation rate is changing, add that in as a column. There also may be lag effects or leading effects so add lags/leads as appropriate.
Hey, bud, I love your projects section and the work that you put into it!! I have a genuine question. - This is nice and all, but steps 1-7 in the DS process are fairly straightforward and standard (some may argue that steps 3 and 4 may be combined). How is this worth $800 when someone can easily complete steps 1-7 and simply learn how to format and map results to Streamlit? I am curious because all the libs are open source, and there are abundant free resources for Streamlit (worst case scenario, a Udemy course on Streamlit is $10-$15.
When we get you a data science job, that’s $100K to $150K - and the price that you pay $800 seems reasonable to us. But yes, good luck with udemy or any of those programs. If you can get a job, then go for it. When you can’t, we will be here.
@@BusinessScience Already secured one using Google/docs/stackoverflow/TH-cam/udemy/Kaggle :) Just interested in learning more. Pardon my confusion. Are you claiming that you get students a Data Science job or a money-back guarantee when you say, "When we get you a data science job, that’s $100K to $150K"? - If so, this might be a great deal, and I may be able to send a few people your way!
Great content Matt! I have learnt a lot and thank you for putting out such detailed lectures.
Great example of price optimization. I work for a global retailer and work heavily on data science tools. Its great to see other methods and ways to improve. Keep going! I can tell you 150k is just the beginning!
Thank you algorithm for guiding me here.
You got it! Thanks for watching. 😀
Extremely informative and well explained. Thank You!
Great video. One question. Often times prices are not set out for equal periods of time. Therefore a decline in qty doesn’t really mean much if the price was only valid for a couple days. I think really the only way around this is adjusted for the time period and seasonality. Any recommendations on how to approach this?
i where can i get a data set
Could you please share the link for accessing the data and python code related to Price Elasticity and Optimization? or any process to get atleast data?
You will need to become a learning labs pro member. university.business-science.io/p/learning-labs-pro
Am I off base to try to analyze sales compared to 'economic strength'? So instead of price vs volume I would do sales vs inflation rate...is that possible with this approach?
No I dont think you're offbase. I would test adding columns in for different days. For example if you have pricing data in different quarters or even month and the inflation rate is changing, add that in as a column. There also may be lag effects or leading effects so add lags/leads as appropriate.
Hey, bud, I love your projects section and the work that you put into it!! I have a genuine question. - This is nice and all, but steps 1-7 in the DS process are fairly straightforward and standard (some may argue that steps 3 and 4 may be combined). How is this worth $800 when someone can easily complete steps 1-7 and simply learn how to format and map results to Streamlit? I am curious because all the libs are open source, and there are abundant free resources for Streamlit (worst case scenario, a Udemy course on Streamlit is $10-$15.
When we get you a data science job, that’s $100K to $150K - and the price that you pay $800 seems reasonable to us. But yes, good luck with udemy or any of those programs. If you can get a job, then go for it. When you can’t, we will be here.
@@BusinessScience Already secured one using Google/docs/stackoverflow/TH-cam/udemy/Kaggle :) Just interested in learning more. Pardon my confusion. Are you claiming that you get students a Data Science job or a money-back guarantee when you say, "When we get you a data science job, that’s $100K to $150K"? - If so, this might be a great deal, and I may be able to send a few people your way!
please provide the dataset
It’s available in Learning Labs Pro. You can become a member here: university.business-science.io/p/learning-labs-pro?el=youtube
When can we expect the superior language version to be uploaded??😂
It might be coming tomorrow. ;)
@@BusinessScience great stuff Matt I'm looking forward to it