IBM Data Science Professional Certificate (Data cleaning, EDA, predictive modeling)
Built a data-science foundation focused on preparing and working with datasets for machine learning. Completed hands-on tasks that included data cleaning and exploratory analysis, which are preparatory steps for labeling and model training workflows. Used notebook-based analysis to develop simple predictive modeling projects from raw data. • Cleaned and processed datasets as part of the data science workflow. • Performed exploratory data analysis to understand feature distributions. • Created simple predictive modeling prototypes for classification/regression tasks. • Produced introductory visualization and analytical storytelling outputs to communicate insights.