Data Science

Automated, reproducible workflow

Data management

• extract data from files, databases or web content
• reshape and reformat the data
• clean the data and imput missing values

Data Exploration

• space-time statistical analysis of dataset
• trends, patterns, and relationship identifications

Data modelling

• regression and predictions for forecasting future values,
• classification to identify, and clustering to group values.
• sensititivty analysis and uncertainty quantification

Reporting & data visualisation

• Data report in various format
• Data interpretation to answer the business questions
• high quality figures
• dynamic data visualisation for the web
• Dashboards

https://towardsdatascience.com/5-steps-of-a-data-science-project-lifecycle-26c50372b492