Applied Analytics and Data for Decision Making
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Course Summary
This course teaches the fundamentals of data analytics and decision-making, including statistical concepts and techniques, data visualization, and machine learning algorithms.Key Learning Points
- Learn to make data-driven decisions using statistical methods and machine learning algorithms.
- Develop data visualization skills to effectively communicate insights.
- Gain hands-on experience with real-world datasets and tools.
Related Topics for further study
Learning Outcomes
- Develop a strong foundation in statistical concepts and techniques.
- Learn to analyze and visualize data using popular tools and methods.
- Apply machine learning algorithms to real-world datasets to make data-driven decisions.
Prerequisites or good to have knowledge before taking this course
- Basic understanding of statistics and programming concepts.
- Access to data analysis software such as R or Python.
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
- Video lectures
- Hands-on Projects
- Quizzes
Similar Courses
- Data Science Essentials
- Applied Data Science with Python
- Data Visualization with Tableau
Related Education Paths
Notable People in This Field
- Nate Silver
- Edward Tufte
Related Books
Description
By the end of this course, learners are prepared to identify and test the best solutions for improving performance and integrating concepts from operational excellence methodologies for optimum data-driven decision making. The course begins with a focus on deciphering the root cause of problems through a variety of tools before determining and assessing best-fit solutions. Learners discover how to apply ISO, Lean and Six Sigma in the pursuit of aligning organizational operations data with performance standards. Hospitality, manufacturing and e-commerce case studies help illustrate how to build data literacy while ensuring privacy and data ethics measures are in place.
Knowledge
- Describe techniques to Identify root causes of variation and tools for evaluating potential solutions
- Apply the Design of Experiments (DOE) technique to test improvement options
- Evaluate, for a specific organization, which operational excellence methodology provides the maximum value
- Explain how to foster a culture of data literacy
Outline
- Applying Analytics to Implement Solutions
- Introduction to Applied Analytics and Data for Decision Making
- Identifying Root Causes
- Best Fit Solutions
- Testing Solutions
- Welcome Message and Course Overview
- Acknowledgements
- Identifying Root Causes Resources (Optional)
- Best Fit Solutions Resources (Optional)
- Testing Solutions Resources (Optional)
- Applying Analytics to Implement Solutions Assessment
- Data-Driven Operational Excellence
- ISO
- Lean
- Six Sigma
- Operational Excellence
- Dan Gerena Discusses Melding Business and Data Strategies
- ISO Resources (Optional)
- Lean Resources (Optional)
- Six Sigma Resources (Optional)
- Operational Excellence Resources (Optional)
- Data-Driven Operational Excellence
- Applying Data-Driven Decisions
- A Data Literacy Culture
- Dan Gerena Discusses Implementation Challenges
- Data Ethics and Privacy
- Hospitality Case Study
- Manufacturing Case Study
- E-Commerce Case Study
- A Data Literacy Culture Resources (Optional)
- Data Ethics and Privacy Resources (Optional)
- Resources for Data-Driven Decision Making in Hospitality (Optional)
- Resources for Data-Driven Decision Making in Manufacturing (Optional)
- Resources for Data-Driven Decision Making in Ecommerce (Optional)
- Applying Data-Driven Decisions to Real-World Challenges
- Project: Applied Analytics and Data for Decision Making
- Project: Applied Analytics and Data for Decision Making
- Project: Applied Analytics and Data for Decision Making (REQUIRED)
Summary of User Reviews
This course on analytics and data decisions has received positive reviews from users. Many have praised the comprehensive content and practical approach of the course. The overall rating of the course is high.Key Aspect Users Liked About This Course
The practical approach of the course is one of the most appreciated aspects by users.Pros from User Reviews
- Comprehensive content covering various aspects of analytics and data decisions
- Practical approach with real-world case studies and examples
- Well-structured course with clear explanations and instructions
- Engaging and knowledgeable instructors
- Provides valuable skills and knowledge for career advancement
Cons from User Reviews
- Requires basic understanding of statistics and data analysis
- Some users have reported technical issues with the platform
- Not suitable for advanced users looking for more in-depth analysis
- Course material may be too basic for some users
- Limited interaction with instructors and other students
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