Coursera
MOOC / Non-credit
0
Data Science Decisions in Time:Sequential Hypothesis Testing
About this course
This is part of our specialization on Making Decision in Time. For this second course we start with a landmark paper from Chernoff and build new insights into the ideas that his paper sparked. The ending point should bring new code and new algorithm insights into perspective, and use, by many computer and data scientists.
B
74/100
CourseAsk score
- What the provider tells you
- 23/45
- 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 sequential hypothesis testing
- apply new algorithms related to decision-making
- develop coding skills in data science
Course objectives
- to build insights based on Chernoff's foundational work
- to apply learned algorithms in practical coding scenarios
Machine Learning
#decision making
#hypothesis testing
#algorithms
#data science
#coding
#computer science
#insights
#sequential analysis
#Chernoff
$49.00
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Udemy
edX
Coursera
Compared on these lists
Where this course ranks against the alternatives.