Live online course
Data Quality, the Baseline of Model Performance
Welcome to the "Data Quality, the Baseline of Model Performance" course, where you'll learn how to improve the quality of data to enhance decision-making processes and boost your organization's model performance. By the end of this course, you'll have gained new skills to become a valuable asset in your company, ensuring data integrity and compliance with industry regulations. You'll achieve better data-driven insights by improving data quality, improving data governance and enhancing decision-making processes. Join us and learn how to make data quality the baseline of your model performance.
  • 4 live sessions start coming soon
  • 25 learners per course
  • per seat.
    Use your L&D budget to cover the cost!
  • language: English
Eх-Software Engineer, Machine Learning
Designed for Data Scientists, Data Engineers
Gain new skills:
  • Boost your organization's model performance with better data quality.
  • Improve data governance and enhance decision-making processes.
  • Learn how to implement data quality best practices in your organization.
  • Increase productivity by avoiding data quality issues.
  • Stay ahead of the curve with the latest trends in data quality.
  • Ensure data integrity and compliance with industry regulations.
Guest lecturers
Ex-Product Manager
About live online course by Leonard Platzer

Meet the top expert leading your course

Eх-Software Engineer, Machine Learning

Leonard Platzer, a seasoned master in data quality, carries an invaluable wealth of experience from renowned firms like QuantumBlack, AI by McKinsey, and McKinsey & Company. His course, "Data Quality, the Baseline of Model Performance", is a testament to his expertise, promising to transform raw data into high-quality, actionable insights.

His accomplishments include the engineering of a data quality product used by Fortune 100 companies, and the establishment of machine learning capabilities at QuantumBlack, Amazon, Mercedes-Benz, and startups. Currently, Leonard is on the cusp of founding a data-focused company, further cementing his status as a leader in data science.

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