Foundations of Data Science using IBM watsonx Practice Test

Visually examine the data for data understanding

Assess data characteristics to guide future processing

Conduct statistical analysis of data

Visualize data to identify patterns/trends

Deselect features that have minimal predictive value

Assess which modeling and statistical techniques are best suited

Select the appropriate environment and libraries

Integrate data from different sources and formats

Normalize data

Mitigate imbalanced data

Handle data anomalies and missing values

Identify the Best Categorical Data Encoding Techniques

Transform Features

Select Relevant Features

Identify adequate Machine Learning Model

Split the data to support model evaluation

Choose appropriate model metrics to assess model performance