Basics of Data Science

edX MOOC / Non-credit USD 99

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Basics of Data Science

About this course

"Basics of Data Science" gives a comprehensible overview of many fundamental concepts and tools of data science, including data quality and data preprocessing, supervised and unsupervised learning techniques including their evaluation, frequent itemsets and association rules, sequence mining, process mining, text mining, and responsible data science.

What you'll learn

understand data quality and preprocessing
differentiate between supervised and unsupervised learning techniques
apply evaluation methods for machine learning models
recognize frequent itemsets and association rules
explore sequence mining and process mining

Skills you'll gain

machine learning unsupervised learning text mining data science supervised learning data quality evaluation techniques data preprocessing process mining responsible data science

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