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Big Data, Genes, and Medicine
  • Level Expert
  • Duration 40 hours
  • Course by The State University of New York
  • Offered by

About

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of. We’ll investigate the different steps required to master Big Data analytics on real datasets, including Next Generation Sequencing data, in a healthcare and biological context, from preparing data for analysis to completing the analysis, interpreting the results, visualizing them, and sharing the results. Needless to say, when you master these high-demand skills, you will be well positioned to apply for or move to positions in biomedical data analytics and bioinformatics. No matter what your skill levels are in biomedical or technical areas, you will gain highly valuable new or sharpened skills that will make you stand-out as a professional and want to dive even deeper in biomedical Big Data. It is my hope that this course will spark your interest in the vast possibilities offered by publicly available Big Data to better understand, prevent, and treat diseases.

Modules

Introduction to the Module

    • 2 Videos
Show info about module content

2 Videos

  • Introduction to the Course
  • Introduction to Module

Biological Terminology, DNA, and RNA

    • 2 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • DNA, RNA, Genes, and Proteins

2 Videos

  • DNA and Genes
  • RNA and Proteins

From Genes to Proteins

    • 4 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Transcription and Translation Processes

4 Videos

  • Transcription Process
  • Transcription Animation
  • Translation Process
  • Translation Animation

Data, Variables, and Datasets

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Data, Variables, and Big Datasets

1 Videos

  • Data, Variables, and Big Datasets

First Steps in Working with Datasets

    • 2 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Working with cBioPortal

2 Videos

  • Working with cBioPortal - Genetic Data Analysis
  • Working with cBioPortal - Gene Networks

Assessment

    • 1 Readings
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Module 1 Quiz
  • Module 1 cBioPortal Data Analytics

1 Discussions

  • Module 1 Discussion

1 Readings

  • Module 1 cBioPortal Data Analytics

Resources

    • 1 Readings
Show info about module content

1 Readings

  • Module 1 Resources

Introduction to the Module

    • 1 Videos
Show info about module content

1 Videos

  • Introduction to Module

Locating and Downloading Datasets

    • 2 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Datasets and Files

2 Videos

  • Datasets and Files
  • Data Sources

Data Preprocessing

    • 2 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Data Preprocessing Tasks

2 Videos

  • Importance of Data Preprocessing
  • Data Preprocessing Tasks

Missing Values

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Replacing Missing Values

1 Videos

  • Replacing Missing Values

Normalizing and Discretizing Data

    • 2 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Normalization and Discretization

2 Videos

  • Data Normalization
  • Data Discretization

Data Reduction

    • 2 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Data Reduction

2 Videos

  • Feature Selection
  • Data Sampling

Introduction to R Language

    • 2 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Working with R

2 Videos

  • Principles of R
  • R Language

R notebook

    • 1 Videos
    • 2 Readings
    • 1 Lab
Show info about module content

1 Labs

  • Module 2 Notebook

1 Videos

  • Jupyter Notebooks 101

2 Readings

  • Jupyter Notebooks Essentials
  • Notebook Module 2 Tutorial

Assessment

    • 1 Readings
    • 1 Discussion
    • 1 Lab
    • 2 Assignment
Show info about module content

2 Assignment

  • Module 2 Quiz
  • Module 2 R Data Preprocessing

1 Discussions

  • Module 2 Discussion

1 Labs

  • Module 2 Notebook

1 Readings

  • Module 2 R Data Preprocessing

Resources

    • 1 Readings
Show info about module content

1 Readings

  • Module 2 Resources

Introduction to the Module

    • 1 Videos
Show info about module content

1 Videos

  • Introduction to Module

Feature Selection Methods

    • 3 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Feature Selection Methods

3 Videos

  • Overview of Feature Selection Methods
  • Filter Methods
  • Wrapper Methods

Evaluation of Feature Selection Methods

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Evaluation Schemes

1 Videos

  • Evaluation Schemes

Feature Selection for Gene Expression Data

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Differentially Expressed Genes

1 Videos

  • Selecting Differentially Expressed Genes

Heatmaps and Visualizations

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Heatmaps

1 Videos

  • Heatmaps

Feature Selection with R

    • 1 Videos
Show info about module content

1 Videos

  • R Scripts for Feature Selection

R notebook

    • 1 Videos
    • 2 Readings
    • 1 Lab
Show info about module content

1 Labs

  • Module 3 Notebook

1 Videos

  • Jupyter Notebooks 101

2 Readings

  • Notebook Module 3 Tutorial
  • Jupyter Notebooks Essentials

Assessment

    • 1 Readings
    • 1 Discussion
    • 1 Lab
    • 2 Assignment
Show info about module content

2 Assignment

  • Module 3 Quiz
  • Module 3 R Finding Differentially Expressed Genes

1 Discussions

  • Module 3 Discussion

1 Labs

  • Module 3 Notebook

1 Readings

  • Module 3 R Finding Differentially Expressed Genes

Resources

    • 1 Readings
Show info about module content

1 Readings

  • Module 3 Resources

Introduction to the Module

    • 1 Videos
Show info about module content

1 Videos

  • Introduction to Module

Classification and Prediction Methods

    • 7 Videos
    • 7 Assignment
Show info about module content

7 Assignment

  • Overview
  • Classification with Analogy
  • Classification based on Rules
  • Classification with Neural Networks
  • Classification based on Statistics
  • Classification based on Probabilities
  • Prediction Models

7 Videos

  • Overview of Classification and Prediction Methods
  • Classification Methods Based on Analogy
  • Classification Methods Based on Rules
  • Classification Methods Based on Neural Networks
  • Classification Methods Based on Statistics
  • Classification Methods Based on Probabilities
  • Prediction Methods

Evaluation of Prediction Performance

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Evaluation Schemes

1 Videos

  • Evaluation Schemes

Combining Feature Selection and Prediction

    • 1 Videos
Show info about module content

1 Videos

  • Prediction Workflow

Classification and Prediction with R

    • 1 Videos
Show info about module content

1 Videos

  • R Scripts for Prediction

R notebook

    • 1 Videos
    • 2 Readings
    • 1 Lab
Show info about module content

1 Labs

  • Module 4 Notebook

1 Videos

  • Jupyter Notebooks 101

2 Readings

  • Jupyter Notebooks Essentials
  • Notebook Module 4 Tutorial

Assessment

    • 1 Readings
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Module 4 Quiz
  • Module 4 R Predicting Diseases from Genes

1 Discussions

  • Module 4 Discussion

1 Readings

  • Module 4 R Predicting Diseases from Genes

Resources

    • 1 Readings
Show info about module content

1 Readings

  • Module 4 Resources

Introduction to the Module

    • 1 Videos
Show info about module content

1 Videos

  • Introduction to Module

Gene Alterations and their Consequences

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Gene Alterations

1 Videos

  • Overview of Gene Alterations

Genetic Mutations

    • 2 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Gene Mutations

2 Videos

  • Genetic Mutations
  • Finding Genetic Mutations

Methylation

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Methylation

1 Videos

  • Methylation

Copy Number Alterations

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Copy Number Alterations

1 Videos

  • Copy Number Alterations

Genomic Alterations and Gene Expressions

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Genomic Alterations and Gene Expressions

1 Videos

  • Genomic Alterations and Gene Expressions

Gene Alterations with R

    • 1 Videos
Show info about module content

1 Videos

  • R Scripts for Gene Alterations

R notebook

    • 1 Videos
    • 2 Readings
    • 1 Lab
Show info about module content

1 Labs

  • Module 5 Notebook

1 Videos

  • Jupyter Notebooks 101

2 Readings

  • Notebook Module 5 Tutorial
  • Jupyter Notebooks Essentials

Assessment

    • 1 Readings
    • 1 Discussion
    • 3 Assignment
Show info about module content

3 Assignment

  • Module 5 Quiz (Temporary)
  • Module 5 Quiz
  • Module 5 R Gene Alterations

1 Discussions

  • Module 5 Discussion

1 Readings

  • Module 5 R Gene Alterations

Resources

    • 1 Readings
Show info about module content

1 Readings

  • Module 5 Resources

Introduction to the Module

    • 1 Videos
Show info about module content

1 Videos

  • Introduction to Module

Clustering Overview

    • 2 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Clustering

2 Videos

  • Overview of Clustering Methods
  • Similarity Assessment

Clustering Methods

    • 3 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Clustering Methods

3 Videos

  • Clustering with KMeans
  • Density Based Clustering
  • Hierarchical Clustering

Pathway Analysis

    • 3 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Pathways

3 Videos

  • Pathway Analysis
  • Pathway Discovery
  • Pathway Visualization

Clustering and Pathways with R

    • 1 Videos
Show info about module content

1 Videos

  • R Scripts for Clustering and Pathway Analysis

R notebook

    • 1 Videos
    • 2 Readings
    • 1 Lab
Show info about module content

1 Labs

  • Module 6 Notebook

1 Videos

  • Jupyter Notebooks 101

2 Readings

  • Jupyter Notebooks Essentials
  • Notebook Module 6 Tutorial

Assessment

    • 1 Readings
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Module 6 Quiz
  • Module 6 R Clustering and Pathways

1 Discussions

  • Module 6 Discussion

1 Readings

  • Module 6 R Clustering and Pathways

Resources

    • 1 Readings
Show info about module content

1 Readings

  • Module 6 Resources

Concluding Remarks

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Concluding Remarks

1 Readings

  • Acknowledgements

Auto Summary

Unlock the potential of Big Data in healthcare with "Big Data, Genes, and Medicine" on Coursera. This expert-level course, led by seasoned professionals, delves into the intersection of genetics, biology, and Big Data analytics. Over 2400 minutes, master skills in data preparation, analysis, and visualization using real healthcare datasets, including Next Generation Sequencing. Ideal for those aiming to excel in biomedical data analytics and bioinformatics, it offers subscription options for both starters and professionals. Join to enhance your expertise and impact the future of medicine.

Isabelle Bichindaritz
Instructor

Isabelle Bichindaritz