Analysing Data for Genomics - Edukite

4/22/2019

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

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2 HOURS, 6 MINUTES

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CURRICULUM

REVIEWS

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.

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Course Credit: Harvard University.

https://edukite.org/course/analysing-data-for-genomics/

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Analysing Data for Genomics - Edukite

COURSE CURRICULUM

Introduction

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Introduction to statistics and R for the Life Sciences

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00:02:00

Lesson 1

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Getting Started with

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00:06:00

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GitHub

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00:02:00

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RStudio

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00:01:00

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Using the Textbook

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00:02:00

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RStudio for Organization

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00:06:00

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Introduction to dplyr

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00:09:00

Lesson 2

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Motivation

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00:05:00

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Introduction to Random Variables

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00:04:00

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Probability Distributions

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00:03:00

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The Normal Distribution

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00:07:00

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Populations, parameters, and sample estimates

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00:05:00

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Central Limit Theorem (CLT)

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00:07:00

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CLT in Practice

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00:04:00

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Analysing Data for Genomics - Edukite

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T-test

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00:06:00

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T-test in practice

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00:03:00

Lesson 3

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Introduction to Inference

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00:02:00

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Con dence Intervals

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00:08:00

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Power Calculations

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00:07:00

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Monte Carlo Simulation

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00:06:00

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Association Tests

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00:02:00

Lesson 4

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Histogram

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00:04:00

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qq-plot

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00:02:00

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Boxplot

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00:02:00

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Scatterplot

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00:07:00

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Symmetry of Log Ratios

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00:02:00

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Plots to Avoid

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00:05:00

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Avoid Pseudo 3D

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00:02:00

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Median, MAD, and Spearman Correlation

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00:02:00

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Mann-Whitney-Wilcoxon Test

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00:03:00

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Analysing Data for Genomics - Edukite

Assessment

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Submit Your Assignment

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00:00:00

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Certi cation

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00:00:00

COURSE REVIEWS

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