Python for Time Series Data Analysis
Below are the top discussions from Reddit that mention this online Udemy course.
Learn how to use Python , Pandas, Numpy , and Statsmodels for Time Series Forecasting and Analysis
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Taught by
Jose Portilla
Reddit Posts and Comments
0 posts • 5 mentions • top 4 shown below
2 points • boy_named_su
i enjoyed https://www.udemy.com/course/python-for-time-series-data-analysis/
2 points • pq_nacoes_fracassam
I don't know of any textbook on time series using python, but here are a few resources that helped me:
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Statsmodels documentation: https://www.statsmodels.org/stable/user-guide.html#time-series-analysis
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Pandas documentation on time series data wrangling: https://pandas.pydata.org/docs/user_guide/timeseries.html
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Jose Portilla course on time series: https://www.udemy.com/course/python-for-time-series-data-analysis/
1 points • ItisAhmad
https://www.udemy.com/course/python-for-time-series-data-analysis
I am learning Time-Series via this course. I highly recommend it.
1 points • stoic_programmer
So, I just finished task 1 of the capstone project and got it approved. I got Mr. Barnhart as my CI, who an awesome and helpful guy. He sent me some resources so I can get a high level overview of the project and understand exactly what they are looking for.
For my project I chose to do a time series analysis using a library to predict future crime in my town. I found the data set online for free, just had to convert to a CSV format to be able to use it in jupyter notebooks.
I would suggest doing something local to where you live. You can google "open data" and then your town or cities name to see if you can find any helpful data sets. For my town I was able to find a police incidents, crash data, etc.
My other idea was to use the crash data set to decipher what streets had the most accidents and create a forecast for the next year of how many accidents would happen based on the past. The data set includes a lot features like the time, street, weather condition, if the road was straight and so on. Using these features you can create a model that will forecast the potential amount of accidents for a given month or even day. (You can totally use this idea if you'd like)
For the models I am using matplotlib which is really easy to use in jupyter notebooks. I will include a good tutorial here: https://www.youtube.com/watch?v=q7Bo_J8x_dw&list=PLQVvvaa0QuDfefDfXb9Yf0la1fPDKluPF
I also created a heat map using "Folium" library, just read the documentation for that one. Here is a tutorial that should help you get started if you choose to include one: https://www.youtube.com/watch?v=QpBmO35pmVE&list=PL2UmzTIzxgL5LiQHwUFtf9mun2I99jdc-
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Udemy Time Series Course:
https://www.udemy.com/course/python-for-time-series-data-analysis/