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Data Science Decisions in Time: Using Causal Information
Coursera
Course
Unknown

Data Science Decisions in Time: Using Causal Information

Johns Hopkins University

Advanced course for learners with basic statistics covering the use of causal data to support decision-making in business, medical, and technology fields.

Unknown6 weeksKK, UZ, English, HU

About this Course

This is the fourth course in the specialization and is aimed at those with basic knowledge of statistics, probability and linear algebra. It will prove to be especially interesting for those with datasets that are being used to make decisions: either business, medical, or technology based

What You'll Learn

  • Understand the role of causal data in decision-making
  • Use basic statistics for data analysis
  • Apply knowledge to make data-driven decisions

Prerequisites

  • Basic knowledge of statistics, probability, and linear algebra
  • Readiness to practice through applied exercises

Instructors

T

Thomas Woolf

Professor

Topics

Data Analysis
Data Science
Software Development
Computer Science
Data-Driven Decision-Making
Strategic Decision-Making
Analytics
A/B Testing
Random Forest Algorithm
Clinical Trials

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علم البيانات
تطوير البرمجيات
علوم الحاسوب
اتخاذ القرارات القائم على البيانات
اتخاذ القرارات الاستراتيجية
التحليلات
اختبار A/B
Random Forest Algorithm
Clinical Trials

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