In this webinar, you will learn the fundamental steps needed to complete a data science project from start to finish. Using a food dataset as a starting point, you will learn how to import, clean up and restructure categorical data. You will then explore the enhanced dataset with statistical analysis, data visualization and machine learning, concluding the pipeline with a dashboard. Along the way, you will learn how to replace anomalous values, canonicalize data, handle missing values and use machine learning to extract features from data.
  • Importing data (summarizing, partial extraction, restructuring)
  • Cleaning data (incorrect values, missing or null values, replacement, canonicalization, anomalies, duplicates)
  • Exploring data (visualization, statistics)
  • Analyzing data (feature extraction, classification, measurements, validation)
  • Communicating results (dashboard building, interpretation)
Wolfram Events Europe
Abdul Ghani
Wolfram Certified Instructor and Technical Consultant
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