Course Summary
This course teaches integrated analysis techniques to help you make better decisions and solve complex problems. You will learn how to combine qualitative and quantitative methods to gain a more comprehensive understanding of a situation.Key Learning Points
- Learn how to integrate different analysis techniques for better decision-making
- Understand how to apply these techniques to complex problems
- Practice using real-world case studies
Related Topics for further study
Learning Outcomes
- Ability to integrate qualitative and quantitative methods for analysis
- Improved decision-making skills
- Ability to solve complex problems
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics
- Familiarity with Excel
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Data Analytics for Business
- Business Statistics and Analysis
Related Education Paths
Related Books
Description
This course will focus on developing integrative skills through directed reading and analysis of the current primary literature to enable the student to develop the capstone project as the overall final exam for the specialization in systems biology.
Outline
- General Features of Systems Biology Studies
- Lecture 1 - Experimental Design
- Lecture 2A - Introduction to Research Article 1- Part 1
- Lecture 2B - Introduction to Research Article 1- Part 2
- Syllabus
- General Overview
- Supplemental Files
- Problem Set 1
- Issues of Reproducibility in Systems Biology
- Lecture 3 - Issues of Reproducibility in Systems Biology
- Introduction to Research Article 2
- Lecture 4 - Introduction to Research Article 2
- MATLAB Access and Tutorials
- Problem Set 2
- Introduction to Research Article 3
- Lecture 5A - Introduction to Research Article 3 - Part 1
- Lecture 5B - Introduction to Research Article 3 - Part 2
- Problem Set 3