Several essential phases are included in a typical data analytics project:
Define Objectives: Clearly state the aim or business challenge.
Data Collection: Compile pertinent information from a range of sources.
Data cleaning: Address inconsistent data, outliers, and missing numbers.
Data Exploration: To comprehend data patterns, carry out exploratory data analysis (EDA).
Utilise statistical or machine learning methods for data modelling.
Model Evaluation: Make use of relevant metrics to evaluate the model’s performance.
Deployment: Apply the model in a real-world setting.
Maintenance and Monitoring: Keep an eye on the performance of the model at all times and make updates as needed.
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