Masterpath in Analytics Leadership for Executives
Offered By: LinkedIn Learning
Course Description
Overview
This learning path teaches executives and data analytics leaders essential skills in predictive modeling, human-in-the-loop machine learning, AutoML, ROI estimation, and data annotation. Learn to make informed decisions using data, and get practical guidance on deploying, monitoring, and maintaining models. The courses are for executives, senior analysts, and data scientists looking to scale their data skills.
- Plan predictive analytics strategy for business impact.
- Analyze and apply various machine learning techniques.
- Practice data-driven decision-making for ROI optimization.
- Explore human-in-the-loop and AutoML technologies.
Syllabus
Courses under this program:
Course 1: Predictive Analytics Essential Training for Executives
-Learn how to hire and manage data science professionals and transform your business with effectively deployed advanced analytics.
Course 2: Executive Guide to Predictive Modeling Strategy at Scale
-Scalability is one of the biggest challenges in data science. Learn how to evaluate data, choose the right algorithms, and perform predictive modeling at scale.
Course 3: Executive Guide to Human-in-the-Loop Machine Learning and Data Annotation
-Explore the core concepts and key skills of human-in-the-loop machine learning, including how to successfully implement and manage a data annotation project.
Course 4: Executive Guide to AutoML
-Learn about AutoML, the opportunities and challenges that arise in attempting to automate machine learning, and how this automation affects your organization.
Course 5: Predictive Analytics Essential Training: Estimating and Ensuring ROI
-Turn predictive analytics into a profit center at your organization. Learn how to measure the return on investment (ROI) and prove the long-term value of your projects.
Course 6: Data-Driven Decision-Making for Business Professionals
-Learn how to use data to draw out powerful conclusions. This course identifies what you need for smart, data-driven decision-making.
Course 7: Data Analytics for Business Professionals
-Learn how to use data analytics to make better decisions and gain competitive advantage as a business professional.
Course 8: Executive Guide to Deploying, Monitoring, and Maintaining Models
-Explore the MLOps portion of deploying, monitoring, and maintaining models for ML projects.
Course 1: Predictive Analytics Essential Training for Executives
-Learn how to hire and manage data science professionals and transform your business with effectively deployed advanced analytics.
Course 2: Executive Guide to Predictive Modeling Strategy at Scale
-Scalability is one of the biggest challenges in data science. Learn how to evaluate data, choose the right algorithms, and perform predictive modeling at scale.
Course 3: Executive Guide to Human-in-the-Loop Machine Learning and Data Annotation
-Explore the core concepts and key skills of human-in-the-loop machine learning, including how to successfully implement and manage a data annotation project.
Course 4: Executive Guide to AutoML
-Learn about AutoML, the opportunities and challenges that arise in attempting to automate machine learning, and how this automation affects your organization.
Course 5: Predictive Analytics Essential Training: Estimating and Ensuring ROI
-Turn predictive analytics into a profit center at your organization. Learn how to measure the return on investment (ROI) and prove the long-term value of your projects.
Course 6: Data-Driven Decision-Making for Business Professionals
-Learn how to use data to draw out powerful conclusions. This course identifies what you need for smart, data-driven decision-making.
Course 7: Data Analytics for Business Professionals
-Learn how to use data analytics to make better decisions and gain competitive advantage as a business professional.
Course 8: Executive Guide to Deploying, Monitoring, and Maintaining Models
-Explore the MLOps portion of deploying, monitoring, and maintaining models for ML projects.
Courses
-
Learn how to use data analytics to make better decisions and gain competitive advantage as a business professional.
-
Learn how to use data to draw out powerful conclusions. This course identifies what you need for smart, data-driven decision-making.
-
Scalability is one of the biggest challenges in data science. Learn how to evaluate data, choose the right algorithms, and perform predictive modeling at scale.
-
Learn how to hire and manage data science professionals and transform your business with effectively deployed advanced analytics.
-
Turn predictive analytics into a profit center at your organization. Learn how to measure the return on investment (ROI) and prove the long-term value of your projects.
-
Explore the core concepts and key skills of human-in-the-loop machine learning, including how to successfully implement and manage a data annotation project.
-
Learn about AutoML, the opportunities and challenges that arise in attempting to automate machine learning, and how this automation affects your organization.
-
Explore the MLOps portion of deploying, monitoring, and maintaining models for ML projects.
Taught by
Keith McCormick, Jamie Champagne and John H. Johnson
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