When developing time series models it can be helpful to understand the nature of the various patterns that exist inside the data.

For example, many times series data sets have both trend components and seasonal ones. When developing an ARIMA model, these components play a major role in deciding how many coefficients to have for the various parameters.

This video will be a great introduction for students new to data science and time series.

If you enjoyed this video, check out some of my other top videos.

The Ultimate Guide To Starting A Data Consulting Company In 2024 | Data Consulting 101
[ Ссылка ]

Data Camp Vs Data Quest - Which Data Engineering Course Is Best?
[ Ссылка ]


Looking to start you're own data engineering/analytics consulting company, then you should check out my new course here

[ Ссылка ] - and use the coupon code "deconsult" to get 50% off

If you'd like to read up on my updates about the data field, then you can sign up for our newsletter here.

[ Ссылка ]

Or check out my blog
[ Ссылка ]

Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio

_____________________________________________________________
Subscribe: [ Ссылка ]
_____________________________________________________________
About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.

*I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you.

свернуть