About this Course

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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. 23 hours to complete

English

Subtitles: 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. 23 hours to complete

English

Subtitles: English

Offered by

The State University of New York logo

The State University of New York

Syllabus - What you will learn from this course

Content RatingThumbs Up90%(1,449 ratings)Info
Week
1

Week 1

2 hours to complete

Genes and Data

2 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 Proteins4m
Transcription and Translation Processes6m
Data, Variables, and Big Datasets4m
Working with cBioPortal6m
Module 1 Quiz20m
Module 1 cBioPortal Data Analytics8m
Week
2

Week 2

5 hours to complete

Preparing Datasets for Analysis

5 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 Files4m
Data Preprocessing Tasks4m
Replacing Missing Values2m
Normalization and Discretization4m
Data Reduction4m
Working with R4m
Module 2 Quiz20m
Module 2 R Data Preprocessing10m
Week
3

Week 3

4 hours to complete

Finding Differentially Expressed Genes

4 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 Methods4m
Evaluation Schemes2m
Differentially Expressed Genes4m
Heatmaps4m
Module 3 Quiz16m
Module 3 R Finding Differentially Expressed Genes10m
Week
4

Week 4

4 hours to complete

Predicting Diseases from Genes

4 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
Overview4m
Classification with Analogy2m
Classification based on Rules2m
Classification with Neural Networks2m
Classification based on Statistics2m
Classification based on Probabilities2m
Prediction Models2m
Evaluation Schemes2m
Module 4 Quiz20m
Module 4 R Predicting Diseases from Genes10m

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

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