About this Course

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Learner Career Outcomes

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started a new career after completing these courses

43%

got a tangible career benefit from this course

20%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Advanced Level
Approx. 40 hours to complete
English

Skills you will gain

BioinformaticsData Clustering AlgorithmsBig DataR Programming

Learner Career Outcomes

50%

started a new career after completing these courses

43%

got a tangible career benefit from this course

20%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Advanced Level
Approx. 40 hours to complete
English

Offered by

Placeholder

The State University of New York

Syllabus - What you will learn from this course

Content RatingThumbs Up90%(1,675 ratings)Info
Week
1

Week 1

4 hours to complete

Genes and Data

4 hours to complete
11 videos (Total 59 min), 2 readings, 6 quizzes
11 videos
Introduction to Module1m
DNA and Genes9m
RNA and Proteins6m
Transcription Process4m
Transcription Animation1m
Translation Process5m
Translation Animation2m
Data, Variables, and Big Datasets6m
Working with cBioPortal - Genetic Data Analysis9m
Working with cBioPortal - Gene Networks9m
2 readings
Module 1 cBioPortal Data Analytics10m
Module 1 Resources10m
6 practice exercises
DNA, RNA, Genes, and Proteins30m
Transcription and Translation Processes30m
Data, Variables, and Big Datasets30m
Working with cBioPortal30m
Module 1 Quiz30m
Module 1 cBioPortal Data Analytics30m
Week
2

Week 2

8 hours to complete

Preparing Datasets for Analysis

8 hours to complete
13 videos (Total 75 min), 4 readings, 8 quizzes
13 videos
Datasets and Files10m
Data Sources11m
Importance of Data Preprocessing4m
Data Preprocessing Tasks2m
Replacing Missing Values3m
Data Normalization9m
Data Discretization5m
Feature Selection3m
Data Sampling2m
Principles of R6m
R Language1m
Jupyter Notebooks 1017m
4 readings
Jupyter Notebooks Essentials10m
Notebook Module 2 Tutorial10m
Module 2 R Data Preprocessing10m
Module 2 Resources10m
8 practice exercises
Datasets and Files30m
Data Preprocessing Tasks30m
Replacing Missing Values30m
Normalization and Discretization30m
Data Reduction30m
Working with R30m
Module 2 Quiz30m
Module 2 R Data Preprocessing30m
Week
3

Week 3

7 hours to complete

Finding Differentially Expressed Genes

7 hours to complete
9 videos (Total 53 min), 4 readings, 6 quizzes
9 videos
Overview of Feature Selection Methods13m
Filter Methods4m
Wrapper Methods4m
Evaluation Schemes7m
Selecting Differentially Expressed Genes3m
Heatmaps6m
R Scripts for Feature Selection3m
Jupyter Notebooks 1017m
4 readings
Notebook Module 3 Tutorial10m
Jupyter Notebooks Essentials10m
Module 3 R Finding Differentially Expressed Genes10m
Module 3 Resources10m
6 practice exercises
Feature Selection Methods30m
Evaluation Schemes30m
Differentially Expressed Genes30m
Heatmaps30m
Module 3 Quiz30m
Module 3 R Finding Differentially Expressed Genes30m
Week
4

Week 4

8 hours to complete

Predicting Diseases from Genes

8 hours to complete
12 videos (Total 85 min), 4 readings, 10 quizzes
12 videos
Overview of Classification and Prediction Methods8m
Classification Methods Based on Analogy12m
Classification Methods Based on Rules13m
Classification Methods Based on Neural Networks7m
Classification Methods Based on Statistics3m
Classification Methods Based on Probabilities7m
Prediction Methods4m
Evaluation Schemes13m
Prediction Workflow4m
R Scripts for Prediction1m
Jupyter Notebooks 1017m
4 readings
Jupyter Notebooks Essentials10m
Notebook Module 4 Tutorial10m
Module 4 R Predicting Diseases from Genes10m
Module 4 Resources10m
10 practice exercises
Overview30m
Classification with Analogy30m
Classification based on Rules30m
Classification with Neural Networks30m
Classification based on Statistics30m
Classification based on Probabilities30m
Prediction Models30m
Evaluation Schemes30m
Module 4 Quiz30m
Module 4 R Predicting Diseases from Genes30m

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