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Executive Data Science
Coursera
Specialization
Unknown

Executive Data Science

Johns Hopkins University

Learn to assemble and lead data science teams effectively, ask key questions, and overcome common project challenges, even as a beginner.

UnknownEnglish

About this Course

Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects

What You'll Learn

  • Become conversant in data science fundamentals and leadership roles
  • Recruit and develop teams with complementary skills
  • Manage data science pipeline stages and goals
  • Overcome common challenges in data science projects

Prerequisites

  • Basic computer and internet skills
  • Ability to read English instructions and complete short exercises

Instructors

R

Roger D. Peng, PhD

Professor of Statistics and Data Sciences

B

Brian Caffo, PhD

Professor, Biostatistics

J

Jeff Leek, PhD

Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics in Public Health Sciences

Topics

Data Analysis
Data Science
Business Essentials
Business
Analytical Skills
Communication
Data-Driven Decision-Making
Data Management
Data Presentation
Data Quality

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
المهارات الأساسية للأعمال
الأعمال
المهارات التحليلية
الاتصال
اتخاذ القرار المبني على البيانات
إدارة البيانات
Data Presentation
Data Quality

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