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Data Science Decisions in Time:Sequential Hypothesis Testing
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.
Duration
7 Months
Institution
Johns Hopkins University
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Johns Hopkins University.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$258
Total Est. Investment
$258
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Data Science Decisions in Time:Sequential Hypothesis Testing program at Johns Hopkins University are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.