Coursera
MOOC / Non-credit
0
Advanced Statistical Techniques for Data Science
About this course
This specialization provides a comprehensive understanding of advanced statistical techniques used in data science. Learners will explore linear regression, model diagnostics, variable selection, Bayesian statistics, and data preparation. The courses are designed to equip data scientists and researchers with the skills needed to analyze complex data sets and draw meaningful conclusions.
C
60/100
CourseAsk score
- What the provider tells you
- 24/45
- Who stands behind it
- 20/35
- 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
- understanding linear regression
- performing model diagnostics
- executing variable selection
- applying Bayesian statistics
- preparing data for analysis
Data Analysis
#data analysis
#data science
#statistics
#data preparation
#linear regression
#research
#model diagnostics
#bayesian statistics
#complex datasets
#variable selection
$49.00
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