AI Academy

A Crash Course in Data Science

Instructor: Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD Duration: Approx. 6 hours
Objective 1 Describe Data Science’s role in various contexts
Objective 2 Understand how Statistics and Machine Learning affect Data Science
Objective 3 Use the key terms used by data scientist
Objective 4 Predict whether a Data Science project will be successful
Predictive Modeling
Statistical Inference
Machine Learning
Data Science
Project Design
Data Management
Software Engineering
Performance Metric
Data-Driven Decision-Making

Building a Data Science Team

Instructor: Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD Duration: 5 hours to complete 3 weeks at 1 hour a week
Objective 1 Describe the various roles that make up a Data Science team
Objective 2 Manage a Data Science team onboarding
Objective 3 Know relevant questions for interviewing data scientists
Objective 4 Understand how to encourage and empower Data Science teams
Team Management
Data Science
Organizational Leadership
Technical Management
People Management
Recruitment
Team Motivation
Cross-Functional Collaboration
Data Strategy
Interviewing Skills
Team Building
Employee Onboarding

Managing Data Analysis

Instructor: Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD Duration: 3 hours to complete
Objective 1 Differentiate between various types of data pulls
Objective 2 Describe the basic data analysis iteration
Objective 3 Explore datasets to determine if data is appropriate for a project
Objective 4 Use statistical findings to create convincing data analysis presentations
Management Training And Development
Analytical Skills
Exploratory Data Analysis
Data Management
Team Management
Data analysis
Statistical Inference
Team Leadership
Statistical Modeling
Communication
Data Presentation
Technical Communication

Data Science in Real Life

Instructor: Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD Duration: 4 hours to complete
Objective 1 Identify strengths and weaknesses in experimental designs
Objective 2 Learn novel solutions for managing data pulls
Objective 3 Describe common pitfalls in communicating data analyses
Objective 4 Understand a typical day in the life of a data analysis manager
Data Management
Data Science
A/B Testing
Data analysis
Statistical Analysis
Statistical Modeling
Statistical Machine Learning
Data Quality
Data-Driven Decision-Making
Statistical Inference
Technical Communication

Executive Data Science Capstone

Instructor: Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD Duration: 1 hour to complete
Objective 1 Apply your learning to a real-world scenario
Objective 2 Lead a virtual data science team
Objective 3 Manage a complex analysis project from start to finish
Objective 4 Prepare and submit a final presentation
Technical Communication
Data-Driven Decision-Making
Project Management
Project Implementation
Data Presentation
Data Strategy
Data Science
Team Management
Technical Management
Leadership
Cross-Functional Team Leadership
Team Building