BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 15.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20210211T223959Z DESCRIPTION:Virtual Applied Data Science Training Institute (VADSTI)\nModul e 3 | Statistical Distributions\, Sampling\, & Hypotheses Testing\nThursda y\, March 4\, 2021 & Friday\, March 5\, 2021\n11:00 AM – 1:30 PM EST\nIN STRUCTOR: Nawar Shara\, PhD\nThis module will introduce you to basic proba bility and statistical concepts. You will learn about different descriptiv e and inferential statistical techniques that are utilized in data science . You will learn about commonly used statistical distributions functions i ncluding Binomial\, Poisson\, and Normal distributions. You will understan d and learn about appropriate the way to formulate hypotheses statements a nd select appropriate statistical techniques for testing.\n\nThe following links will be used for in-class trainings. Please download and familiariz e yourself with each platform. \n\nCisco WebEx:\nWebex Meetings is Cisco' s cloud-based web and video conferencing service that enables global and v irtual teams to collaborate on mobile devices and standards-based video sy stems in real time.\n\nhttps://webex.com\n\nClass Management and Platform: \nCodio\, is an all-in-one integrated server\, IDE\, assessment\, and re source library and learning platform.\nhttps://codio.com/p/join-course?tok en=joel-friday\n\nClass Repository: GitHub\nPublic repository to house all relevant information including dataset.\nhttps://github.com/hurcmi/VADSTI 2020.git\n\nClass Management Messaging and Collaboration: \nSlack\, messa ging platform will be used for communications between Instructor/TA and st udents and vice versa. This resource will help facilitate and enhance stud ents' collaboration\, offline.\nhttps://join.slack.com/t/virtualapplie-s7z 3309/shared_invite/zt-lsao075h-EvFJ_hTsVOd1CCPeDGQUhg \n \n\n\n DTEND;TZID="Eastern Standard Time":20210304T133000 DTSTAMP:20210211T223959Z DTSTART;TZID="Eastern Standard Time":20210304T110000 LAST-MODIFIED:20210211T223959Z LOCATION:Webex Information Will Be Emailed Separately PRIORITY:5 RRULE:FREQ=DAILY;COUNT=2 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:VADSTI Module 3 | Statistical Distributions\, Sampli ng\, & Hypotheses Testing TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E0080000000040B2B8899C00D701000000000000000 0100000001399C3C8B921D0469960AE57B4C87CAE X-ALT-DESC;FMTTYPE=text/html:\n\n\n\n\n\n\n\n\n

Virtual Applied Data Science Training I nstitute (VADSTI)

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Module 3 | Statistical Distributions\, Sampling\, &\; Hypotheses Testing
\ nThursday\, March 4\, 2021 &\; Fr iday\, March 5\, 2021
\n11:00 AM – 1:30 PM EST
\nINSTRUCTOR: Nawar Shara\, PhD
\nThis module will introduce you to basic probability and statis tical concepts. You will learn about different descriptive and inferential statistical techniques that are utilized in data science. You will learn about commonly used statistical distributions functions including Binomial \, Poisson\, and Normal distributions. You will understand and learn about appropriate the way to formulate hypotheses statements and select appropr iate statistical techniques for testing.
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~~T he following links will be used for in-class trainings. Please download an d familiarize yourself with each platform. \;~~
\n \n
Cisco WebEx:
\n\nWebex Meetings is Cisco's cloud-based web and video conferencing service that enables global a nd virtual teams to collaborate on mobile devices and standards-based vide o systems in real time.
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https://webex.com
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Class Management and Pl atform: \;
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Codio\, is an all-in-one integrated server\, IDE\, assessment\, and r esource library and learning platform.
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https://codio.com/p/joi n-course?token=joel-friday
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Class Repository: GitHub
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Public repository to ho use all relevant information including dataset.
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https://github.com/hurc mi/VADSTI2020.git
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Class Management Messaging and Collaboration: \;
\n\n
Slack\, messaging platform will be used for communications between Instructor/TA and student s and vice versa. This resource will help facilitate and enhance students' collaboration\, offline.
\n\n
https://join.slack.com/t/virt ualapplie-s7z3309/shared_invite/zt-lsao075h-EvFJ_hTsVOd1CCPeDGQUhg
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