What do you do with all the insights developed in the previous stages of data analytics?
Yes, it is time to decide. Data-driven decision making is a key skill set to acquire and hone in this big data era.
Time series modelling
If you want to know more, you can find further resources here:
- TowardsDataScience demonstrates how to forecast data, including discussing how to identify the best model.
- The statsmodels library is used frequently in this module. Find out more about the time series analysis (tsa) package including a list of commands.
- Learn more from Machine Learning Mastery on autocorrelation and partial autocorrelation.
Anomaly detection
If you want to know more, you can find further resources here.
- DataCamp provides useful cheat sheets and tutorials that detail the various uses and commands in packages. These include a cheat sheet for the sklearn package that is used frequently within this module.
- DataCamp also has tutorials examining the sklearn package to perform KMeans clustering and Principal Component Analysis.
- TowardsDataScience provides an article explaining how to use techniques such as Principal Component Analysis and clustering to detect anomalies.
- Medium has an article explaining unsupervised learning and how it can be used in detail.This includes examining different types of clustering, dimension reduction techniques such as PCA and methods.
Ethical considerations
If you want to know more, you can find further resources here:
- Access this link for the UK Government’s Framework for incorporating Data Ethics into public sector data projects. This includes practical advice to ensure ethical issues are considered throughout.
- Royal Society have examined Data Ethics in depth through a series of seminars, roundtables and in-depth research with professionals in various fields, summarised in this report.
- The Alan Turing Institute is dedicated to using analytics and Artificial Intelligence ethically. To ensure this, they have published an online guide about data ethics.
Any other resources that are relevant to decision making? Please share in the comments below.