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[su_tab title = “Description”]

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

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• We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals.
• We will provide examples by programming in R in a way that will help make the connection between concepts and implementation. Problems sets requiring R programming will be used to test understanding and ability to implement basic data analyses.
• We will use visualization techniques to explore new data sets and determine the most appropriate approach.
• We will describe robust statistical techniques as alternative when data do not fit assumptions required by the standard approaches.
• We will also introduce the basics of using R scripts to conduct reproducible research.

Topics:

• Distributions
• Exploratory Data Analysis
• Inference
• Non-parametric statistics

Important Date

19 January 2015;

Registration open through 27 April 2015

Duration

4Week

6 hours / week

Part time/Full time

Part Time

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[su_tab title = “Eligibility”]

• Knowledge about basic programming,
• Basic math.

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[su_tab title =”Tools”]

• R

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[su_tab title = “Faculty”]

• Rafael Irizarry
• Michael Love

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[su_tab title = “Contact”]

Name :
Email :
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