Course Summary
This course provides an introduction to genomics and covers topics such as DNA sequencing, assembly and annotation, and gene expression analysis. Students will learn about the latest technologies and tools used in genomics research.Key Learning Points
- Gain a fundamental understanding of genomics and its applications
- Learn about the latest technologies and tools used in genomics research
- Explore the impact of genomics on various fields such as medicine, agriculture, and forensics
Job Positions & Salaries of people who have taken this course might have
- USA: $80,000
- India: ₹6,00,000
- Spain: €40,000
- USA: $80,000
- India: ₹6,00,000
- Spain: €40,000
- USA: $70,000
- India: ₹5,00,000
- Spain: €35,000
- USA: $80,000
- India: ₹6,00,000
- Spain: €40,000
- USA: $70,000
- India: ₹5,00,000
- Spain: €35,000
- USA: $90,000
- India: ₹7,00,000
- Spain: €45,000
Related Topics for further study
Learning Outcomes
- Understand the basic principles of genomics
- Learn about the latest technologies and tools used in genomics research
- Explore the impact of genomics on various fields such as medicine, agriculture, and forensics
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of biology and genetics
- Familiarity with computer programming is helpful but not required
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Video lectures
- Quizzes and assignments
- Peer-reviewed projects
Similar Courses
- Genomic Data Science
- Introduction to Bioinformatics
Related Education Paths
Notable People in This Field
- Jennifer Doudna
- Eric Lander
Related Books
Description
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.
This is the first course in the Genomic Data Science Specialization.
Outline
- Overview
- Why Genomics?
- What Is Genomics?
- What Is Genomic Data Science?
- Just Enough Cell Biology
- Important Molecules in Molecular Biology
- The Human Genome Project
- Molecular Biology Structures
- From Genes to Phenotypes
- Syllabus
- Pre-Course Survey
- Quiz 1: Overview and Molecular Biology
- Measurement Technology
- Polymerase Chain Reaction
- Next Generation Sequencing
- Applications of Sequencing
- Quiz 2: Measurement Technology
- Computing Technology
- What Is Computer Science?
- Algorithms
- Memory and Data Structures
- Efficiency
- Software Engineering
- What is Computational Biology Software
- Quiz 3: Computing Technology
- Data Science Technology
- Why Care About Statistics?
- What Went Wrong?
- The Central Dogma of Statistics
- Data Sharing Plans
- Getting Help with Statistics
- Plotting Your Data
- Sample Size and Variability
- Statistical Significance
- Multiple Testing
- Study Design, Batch Effects, and Confounding
- Course Project Instructions and Reading
- Post-Course Survey
- Quiz 4: Data Science Technology
- Course Project
Summary of User Reviews
Discover the fascinating world of genomics with this introductory course on Coursera. Students have praised the course for its comprehensive coverage of the subject matter and engaging teaching style.Key Aspect Users Liked About This Course
Comprehensive coverage of the subject matterPros from User Reviews
- Engaging teaching style
- In-depth explanations of complex concepts
- Interactive quizzes and assignments
- Access to additional resources and readings
- Opportunities for collaboration and discussion with peers
Cons from User Reviews
- Some students found the pace to be too fast
- Occasional technical issues with the online platform
- Lack of personalized feedback on assignments
- Limited opportunities for hands-on experience with genomic data
- Not suitable for students with no prior background in biology or genetics