edX
MOOC / Non-credit
0
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.
B
75/100
CourseAsk score
- What the provider tells you
- 24/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
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
Data Analysis
#machine learning
#unsupervised learning
#text mining
#data science
#supervised learning
#data quality
#evaluation techniques
#data preprocessing
#process mining
#responsible data science
$99.00
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