Johns Hopkins University
Executive Data Science Specialization
Johns Hopkins University

Executive Data Science Specialization

Be The Leader Your Data Team Needs. Learn to lead a data science team that generates first-rate analyses in four courses.

Roger D. Peng, PhD
Brian Caffo, PhD
Jeff Leek, PhD

Instructors: Roger D. Peng, PhD

66,967 already enrolled

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4.5

(7,211 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.5

(7,211 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Become conversant in the field and understand your role as a leader.

  • Recruit, assemble, evaluate, and develop a team with complementary skill sets and roles.

  • Navigate the structure of the data science pipeline by understanding the goals of each stage and keeping your team on target throughout.

  • Overcome the common challenges that frequently derail data science projects.

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Taught in English

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Specialization - 5 course series

A Crash Course in Data Science

Course 16 hours4.5 (8,199 ratings)

What you'll learn

  • Describe Data Science’s role in various contexts

  • Understand how Statistics and Machine Learning affect Data Science

  • Use the key terms used by data scientist

  • Predict whether a Data Science project will be successful

Skills you'll gain

Category: Statistics
Category: Data Science
Category: Data Analysis
Category: Data Management

Building a Data Science Team

Course 25 hours4.5 (3,290 ratings)

What you'll learn

  • Describe the various roles that make up a Data Science team

  • Manage a Data Science team onboarding

  • Know relevant questions for interviewing data scientists

  • Understand how to encourage and empower Data Science teams

Skills you'll gain

Category: Team Building
Category: Data Science
Category: Management
Category: Team Management

Managing Data Analysis

Course 38 hours4.6 (3,333 ratings)

What you'll learn

  • Differentiate between various types of data pulls

  • Describe the basic data analysis iteration

  • Explore datasets to determine if data is appropriate for a project

  • Use statistical findings to create convincing data analysis presentations

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Machine Learning
Category: Project

Data Science in Real Life

Course 47 hours4.5 (2,361 ratings)

What you'll learn

  • Identify strengths and weaknesses in experimental designs

  • Learn novel solutions for managing data pulls

  • Describe common pitfalls in communicating data analyses

  • Understand a typical day in the life of a data analysis manager

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Management
Category: Data Management

Executive Data Science Capstone

Course 52 hours4.7 (1,555 ratings)

What you'll learn

  • Apply your learning to a real-world scenario

  • Lead a virtual data science team

  • Manage a complex analysis project from start to finish

  • Prepare and submit a final presentation

Skills you'll gain

Category: Data Analysis
Category: Communication
Category: Interpretation
Category: Exploratory Data Analysis

Instructors

Roger D. Peng, PhD
Johns Hopkins University
37 Courses1,612,923 learners
Brian Caffo, PhD
Johns Hopkins University
30 Courses1,639,065 learners

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