MA101A Distributions, Tests and Graphics

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==Objective==
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==Objectives==
The various statistical distributions covered will help you know when assumptions can be made about a normal distribution and how to test whether or not these assumptions are true. Essential descriptive statistics are reviewed and then used in various situations to calculate background, noise, normalization and thresholding. Additionally, hypothesis testing is introduced so that you can assess groups of observations for a particular parameter and calculate whether or not the difference between groups is significant. Data visualization using various graphs will also be reviewed. Armed with these techniques, you will be able to better deal with the challenges of data analysis. Plus, you'll be able to understand and interpret data at a more fundamental level and draw the correct conclusions about them.  
The various statistical distributions covered will help you know when assumptions can be made about a normal distribution and how to test whether or not these assumptions are true. Essential descriptive statistics are reviewed and then used in various situations to calculate background, noise, normalization and thresholding. Additionally, hypothesis testing is introduced so that you can assess groups of observations for a particular parameter and calculate whether or not the difference between groups is significant. Data visualization using various graphs will also be reviewed. Armed with these techniques, you will be able to better deal with the challenges of data analysis. Plus, you'll be able to understand and interpret data at a more fundamental level and draw the correct conclusions about them.  
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The entire course will be conducted in R, a free and open-source package for statistical computing that has become an essential part of the biostatistician's toolbox. Unlike Bioinformatics.Org course CS101B (R for Biologists, Level 1), this course focuses on the mathematical principles of statistical analysis and not on the syntax and functionality of R.  
The entire course will be conducted in R, a free and open-source package for statistical computing that has become an essential part of the biostatistician's toolbox. Unlike Bioinformatics.Org course CS101B (R for Biologists, Level 1), this course focuses on the mathematical principles of statistical analysis and not on the syntax and functionality of R.  
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No experience is required, although prior experience with a programming language will be helpful. Math skills will also be useful. This course is certified by the [[Bioinformatics Organization|Bioinformatics Organization, Inc.]], the largest international affiliation in the field, and it will count as '''10''' "Continuing Scientific Education" (CSE) credits (one credit per contact hour) within the Organization. Students completing the course will receive a certificate attesting to that.
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No experience is required, although prior experience with a programming language will be helpful. Math skills will also be useful.
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==Course outline==
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==Instructor==
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* [[Shailender Nagpal]]
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==Syllabus==
* Day 1: Probability distributions and how to work with them  
* Day 1: Probability distributions and how to work with them  
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* Day 4: Use of the techniques covered in the previous sessions to do a biological data analysis project
* Day 4: Use of the techniques covered in the previous sessions to do a biological data analysis project
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==Course schedule==
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{{Course footer
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|hours=3
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This course has been offered once. Access to completed courses is available to enrolled students only, because of privacy and confidentiality issues. If you are interested in an upcoming course, register using instructions below.
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* [http://edu.bioinformatics.org/AN/site Course AN (online), March 19-23, 2007]
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* [http://edu.bioinformatics.org/MA101A Site license login]
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==Registration==
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Registration comprises of two steps. First, [https://edu.bioinformatics.org/login/signup.php create an online account] to access the educational section of our website. Second, register for this course by making a payment using either the online registration form (click on the scheduled course above; ''use this form only for credit card payments via secured PayPal''), or by sending in the [http://edu.bioinformatics.org/download/registration_form.pdf mail-in registration form] (~150 kB PDF, ''use this form if paying by US checks, credit card or corporate purchase order''). Please check the tuition rates and discounts below.
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Registration deadline: When full
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==Tuition and Discounts==
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The fee for this course is $895 USD (Commercial, Government)
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Discounted rates are available, as follows:
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* Academic and non-profit research organizations, $597 (USD)
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* Students paying for themselves (not getting reimbursement) and unemployed individuals (verification required), $298
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* Limited scholarships may also be available
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* Professional members get an additional 20% discount
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==Logistics==
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http://edu.bioinformatics.org/images/asap_logo.png
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Online courses are offered on the ASAP online meeting system.  Access information will be provided prior to the start of the course. Each lecture will last 45 to 90 minutes, depending on the topics covered. For those who cannot attend the lectures at those times, the lectures will be recorded and placed on the course website as Flash videos (resolution reduced by 30%) each day, within one day.  Students will also be able to communicate with the instructor and other students via the course forums.  Lecture attendance is therefore not required.
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Since this will be an interactive, hands-on workshop, all attendees will need a computer with a broadband Internet connection (1 Mbps or faster is strongly recommended for those watching the live lecture), a sound card with speakers, a modern Web browser, and the [http://www.adobe.com/products/flashplayer/ Adobe Flash plugin].  Please [[ASAP requirements|check the specific system requirements for your computer]].  A microphone and webcam is not required for this course.  The necessary software, lecture notes and exercises will be provided.
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<div style="border-top: solid 1px black; font-size: small; margin: 3em 0em 0em 1em; width: 20em;">
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''ASAP is a trademark of Convoq, Inc.<br />Other names are trademarks of their respective owners.''
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</div>
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==Additional information==
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If you have any questions, please send a message to [http://edu.bioinformatics.org/message/discussion.php?id=100003 J.W. Bizzaro] (login required) or call +1 978 562 4800.
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==See also==
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* [[Educational services|Educational services at Bioinformatics.Org]]
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Latest revision as of 20:24, 19 May 2011

Contents

Objectives

The various statistical distributions covered will help you know when assumptions can be made about a normal distribution and how to test whether or not these assumptions are true. Essential descriptive statistics are reviewed and then used in various situations to calculate background, noise, normalization and thresholding. Additionally, hypothesis testing is introduced so that you can assess groups of observations for a particular parameter and calculate whether or not the difference between groups is significant. Data visualization using various graphs will also be reviewed. Armed with these techniques, you will be able to better deal with the challenges of data analysis. Plus, you'll be able to understand and interpret data at a more fundamental level and draw the correct conclusions about them.

The entire course will be conducted in R, a free and open-source package for statistical computing that has become an essential part of the biostatistician's toolbox. Unlike Bioinformatics.Org course CS101B (R for Biologists, Level 1), this course focuses on the mathematical principles of statistical analysis and not on the syntax and functionality of R.

No experience is required, although prior experience with a programming language will be helpful. Math skills will also be useful.

Instructor

Syllabus

Scheduled courses

If you are interested in an upcoming course, register using instructions below. (Access to completed courses is available to enrolled students only, because of privacy and confidentiality issues.)

Registration

Registration for courses at Bioinformatics.Org takes two steps:

Step 1
If you haven't already done so, create an on-line account to access the educational section of our website. Please note that the registration for our educational system is separate from that of the main website; you will require another account.
Step 2
Register for the course by making a payment using either the on-line registration form (click on the name of the course where it appears in the list of upcoming courses; use this form only for PayPal payments and credit card payments via secured PayPal), or by sending in the registration form (PDF; use this form if paying by US checks, credit card or corporate purchase order).

Please also check the course tuition rates and discounts.

Registration deadline: When full

Tuition & discounts

Live instruction held on-line
Live instruction held on-site
On-demand instruction held on-line

Additional discounts are available as follows:

Logistics

The necessary software, lecture notes and exercises will be provided.

Live instruction held on-line

On-line/live courses use the WebEx on-line meeting system. Access information will be provided prior to the start of the course. Unless otherwise noted, each lecture begins at 16:00 GMT and runs for about an hour, depending on the topics covered.

For those who cannot attend the lectures at those times, the lectures will be recorded and placed on the course website as AVI video files each day, within one day. Students will also be able to communicate with the instructor and other students via the course forums. Lecture attendance is therefore not required.

Since this will be an interactive, hands-on workshop, all attendees will need a computer with a broadband Internet connection (1 Mbps or faster is strongly recommended for those watching the live lecture), a sound card with speakers, a modern Web browser, and Java. A microphone and webcam are not required but may be used.

Certification

This course is certified by the Bioinformatics Organization, Inc., the largest international affiliation in the field, and it will count as 3 "Continuing Scientific Education" (CSE) units (one unit per contact hour) within the Organization. Students completing the course will receive a certificate attesting to that.

Refund policy

For any course type, if a student is not satisfied with the conduct or content of a course, they may request a full refund within the first two days of lecture. After two days but within a week, a 50% refund will be granted. After one week, a 100% credit toward another course will be granted. No refunds or credits apply beyond those stated here.

Additional information

Please contact us for questions or additional information.

See also

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