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Analysing Data for Genomics - Edukite
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Analysing Data for Genomics ( 9 REVIEWS )
1757 STUDENTS
To is designed to provide you with basic knowledge and skills to independently design, execute and explain the results of …
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LEVEL 3 - DIPLOMA COURSE BADGE COURSE CERTIFICATE
32
NUMBER OF UNITS NUMBER OF QUIZZES
0
2 HOURS, 6 MINUTES
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CURRICULUM
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To Analysing Data for Genomics is designed to provide you with basic knowledge and skills to independently design, execute and explain the results of data analysis in the context of a genomics/proteomics experiment. Through this course you will learn advanced techniques to analyze genomic data, how to structure, annotate, normalize, and interpret genome-scale assays, how to bridge diverse genomic assay and annotation structures to data analysis and research presentations via innovative approaches to computing, how to analyze data from several experimental protocols, using open source software, including R and Bioconductor.
Assessment This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certi cate at a cost of £49. Having an Of cial Edukite Certi cation is a great way to celebrate and share your success. You can: Add the certi cate to your CV or resume and brighten up your career Show it to prove your success Course Credit: Harvard University.
https://edukite.org/course/analysing-data-for-genomics/
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Analysing Data for Genomics - Edukite
COURSE CURRICULUM
Introduction
Introduction to statistics and R for the Life Sciences
00:02:00
Lesson 1
Getting Started with
00:06:00
GitHub
00:02:00
RStudio
00:01:00
Using the Textbook
00:02:00
RStudio for Organization
00:06:00
Introduction to dplyr
00:09:00
Lesson 2
Motivation
00:05:00
Introduction to Random Variables
00:04:00
Probability Distributions
00:03:00
The Normal Distribution
00:07:00
Populations, parameters, and sample estimates
00:05:00
Central Limit Theorem (CLT)
00:07:00
CLT in Practice
00:04:00
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Analysing Data for Genomics - Edukite
T-test
00:06:00
T-test in practice
00:03:00
Lesson 3
Introduction to Inference
00:02:00
Con dence Intervals
00:08:00
Power Calculations
00:07:00
Monte Carlo Simulation
00:06:00
Association Tests
00:02:00
Lesson 4
Histogram
00:04:00
qq-plot
00:02:00
Boxplot
00:02:00
Scatterplot
00:07:00
Symmetry of Log Ratios
00:02:00
Plots to Avoid
00:05:00
Avoid Pseudo 3D
00:02:00
Median, MAD, and Spearman Correlation
00:02:00
Mann-Whitney-Wilcoxon Test
00:03:00
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Analysing Data for Genomics - Edukite
Assessment
Submit Your Assignment
00:00:00
Certi cation
00:00:00
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