Strata Data Superstream: Data Science Fundamentals
Big data has been with us now for over 10 years, and in that time the tools and techniques have evolved. If youâ??re new to working with data or looking to understand the latest and greatest, these sessions are the perfect way to become part of the conversation. Youâ??ll learn how AI and the cloud...
Gespeichert in:
| Beteiligte Personen: | , , , , , , , |
|---|---|
| Körperschaften: | , |
| Format: | Elektronisch Video |
| Sprache: | Englisch |
| Veröffentlicht: |
[Erscheinungsort nicht ermittelbar]
O'Reilly Media, Inc.
2021
|
| Ausgabe: | 1st edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/0636920531722/?ar |
| Zusammenfassung: | Big data has been with us now for over 10 years, and in that time the tools and techniques have evolved. If youâ??re new to working with data or looking to understand the latest and greatest, these sessions are the perfect way to become part of the conversation. Youâ??ll learn how AI and the cloud have impacted how we grapple with ever-growing datasets and get better insight and products. About the Strata Data Superstream Series: This four-part series of half-day online events gives attendees an overarching perspective of key topics that will help your organization maximize the business impact of your data. What you'll learn-and how you can apply it Understand the problems the modern data stack helps solve today and get a glimpse of where weâ??re headed Get an overview of AI and machine learning and see how they can improve your data science work Learn how to present your data clearly and articulately This Superstream is for you because... You want to learn how data science works and understand its impacts, whether youâ??re swimming in data or just dipping in a toe. You need to know the trends in data workflows, techniques, and tools. Youâ??re interested in learning the role AI can play in your data analysis and want to find out where to start. You want to learn how to best present your data to outside stakeholders. Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommend follow-up: Read Data Science from Scratch (book) Read Fundamentals of Data Visualization (book) Read Introduction to Machine Learning with Python (book). |
| Beschreibung: | Online resource; Title from title screen (viewed February 11, 2021) |
| Umfang: | 1 Online-Ressource (1 video file, approximately 3 hr., 42 min.) |
| ISBN: | 0636920531722 |
Internformat
MARC
| LEADER | 00000cgm a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-06157743X | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121323.0 | ||
| 006 | m o | | | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210216s2021 xx ||| |o o ||eng c | ||
| 020 | |a 0636920531722 |9 0636920531722 | ||
| 035 | |a (DE-627-1)06157743X | ||
| 035 | |a (DE-599)KEP06157743X | ||
| 035 | |a (ORHE)0636920531722 | ||
| 035 | |a (DE-627-1)06157743X | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 100 | 1 | |a Croll, Alistair |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Strata Data Superstream |b Data Science Fundamentals |c Croll, Alistair |
| 250 | |a 1st edition. | ||
| 264 | 1 | |a [Erscheinungsort nicht ermittelbar] |b O'Reilly Media, Inc. |c 2021 | |
| 300 | |a 1 Online-Ressource (1 video file, approximately 3 hr., 42 min.) | ||
| 336 | |a zweidimensionales bewegtes Bild |b tdi |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Online resource; Title from title screen (viewed February 11, 2021) | ||
| 520 | |a Big data has been with us now for over 10 years, and in that time the tools and techniques have evolved. If youâ??re new to working with data or looking to understand the latest and greatest, these sessions are the perfect way to become part of the conversation. Youâ??ll learn how AI and the cloud have impacted how we grapple with ever-growing datasets and get better insight and products. About the Strata Data Superstream Series: This four-part series of half-day online events gives attendees an overarching perspective of key topics that will help your organization maximize the business impact of your data. What you'll learn-and how you can apply it Understand the problems the modern data stack helps solve today and get a glimpse of where weâ??re headed Get an overview of AI and machine learning and see how they can improve your data science work Learn how to present your data clearly and articulately This Superstream is for you because... You want to learn how data science works and understand its impacts, whether youâ??re swimming in data or just dipping in a toe. You need to know the trends in data workflows, techniques, and tools. Youâ??re interested in learning the role AI can play in your data analysis and want to find out where to start. You want to learn how to best present your data to outside stakeholders. Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommend follow-up: Read Data Science from Scratch (book) Read Fundamentals of Data Visualization (book) Read Introduction to Machine Learning with Python (book). | ||
| 650 | 4 | |a Electronic videos | |
| 700 | 1 | |a Handy, Tristan |e VerfasserIn |4 aut | |
| 700 | 1 | |a Odubela, Ayodele |e VerfasserIn |4 aut | |
| 700 | 1 | |a Pelzel, Kristi |e VerfasserIn |4 aut | |
| 700 | 1 | |a Dai, Jason |e VerfasserIn |4 aut | |
| 700 | 1 | |a McRaney, David |e VerfasserIn |4 aut | |
| 700 | 1 | |a Krishnamurthy, Venkat |e VerfasserIn |4 aut | |
| 700 | 1 | |a Baden, Alex |e VerfasserIn |4 aut | |
| 710 | 2 | |a O'Reilly for Higher Education (Firm), |e MitwirkendeR |4 ctb | |
| 710 | 2 | |a Safari, an O'Reilly Media Company. |e MitwirkendeR |4 ctb | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/0636920531722/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 935 | |c vide | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-06157743X |
|---|---|
| _version_ | 1821494945992671232 |
| adam_text | |
| any_adam_object | |
| author | Croll, Alistair Handy, Tristan Odubela, Ayodele Pelzel, Kristi Dai, Jason McRaney, David Krishnamurthy, Venkat Baden, Alex |
| author_corporate | O'Reilly for Higher Education (Firm) Safari, an O'Reilly Media Company |
| author_corporate_role | ctb ctb |
| author_facet | Croll, Alistair Handy, Tristan Odubela, Ayodele Pelzel, Kristi Dai, Jason McRaney, David Krishnamurthy, Venkat Baden, Alex O'Reilly for Higher Education (Firm) Safari, an O'Reilly Media Company |
| author_role | aut aut aut aut aut aut aut aut |
| author_sort | Croll, Alistair |
| author_variant | a c ac t h th a o ao k p kp j d jd d m dm v k vk a b ab |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)06157743X (DE-599)KEP06157743X (ORHE)0636920531722 |
| edition | 1st edition. |
| format | Electronic Video |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03368cgm a22004692 4500</leader><controlfield tag="001">ZDB-30-ORH-06157743X</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121323.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210216s2021 xx ||| |o o ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0636920531722</subfield><subfield code="9">0636920531722</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)06157743X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP06157743X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)0636920531722</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)06157743X</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Croll, Alistair</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Strata Data Superstream</subfield><subfield code="b">Data Science Fundamentals</subfield><subfield code="c">Croll, Alistair</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Erscheinungsort nicht ermittelbar]</subfield><subfield code="b">O'Reilly Media, Inc.</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 video file, approximately 3 hr., 42 min.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">zweidimensionales bewegtes Bild</subfield><subfield code="b">tdi</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; Title from title screen (viewed February 11, 2021)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Big data has been with us now for over 10 years, and in that time the tools and techniques have evolved. If youâ??re new to working with data or looking to understand the latest and greatest, these sessions are the perfect way to become part of the conversation. Youâ??ll learn how AI and the cloud have impacted how we grapple with ever-growing datasets and get better insight and products. About the Strata Data Superstream Series: This four-part series of half-day online events gives attendees an overarching perspective of key topics that will help your organization maximize the business impact of your data. What you'll learn-and how you can apply it Understand the problems the modern data stack helps solve today and get a glimpse of where weâ??re headed Get an overview of AI and machine learning and see how they can improve your data science work Learn how to present your data clearly and articulately This Superstream is for you because... You want to learn how data science works and understand its impacts, whether youâ??re swimming in data or just dipping in a toe. You need to know the trends in data workflows, techniques, and tools. Youâ??re interested in learning the role AI can play in your data analysis and want to find out where to start. You want to learn how to best present your data to outside stakeholders. Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommend follow-up: Read Data Science from Scratch (book) Read Fundamentals of Data Visualization (book) Read Introduction to Machine Learning with Python (book).</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic videos</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Handy, Tristan</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Odubela, Ayodele</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pelzel, Kristi</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dai, Jason</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">McRaney, David</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Krishnamurthy, Venkat</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Baden, Alex</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">O'Reilly for Higher Education (Firm),</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Safari, an O'Reilly Media Company.</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/0636920531722/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="935" ind1=" " ind2=" "><subfield code="c">vide</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-06157743X |
| illustrated | Not Illustrated |
| indexdate | 2025-01-17T11:22:27Z |
| institution | BVB |
| isbn | 0636920531722 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (1 video file, approximately 3 hr., 42 min.) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | O'Reilly Media, Inc. |
| record_format | marc |
| spelling | Croll, Alistair VerfasserIn aut Strata Data Superstream Data Science Fundamentals Croll, Alistair 1st edition. [Erscheinungsort nicht ermittelbar] O'Reilly Media, Inc. 2021 1 Online-Ressource (1 video file, approximately 3 hr., 42 min.) zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; Title from title screen (viewed February 11, 2021) Big data has been with us now for over 10 years, and in that time the tools and techniques have evolved. If youâ??re new to working with data or looking to understand the latest and greatest, these sessions are the perfect way to become part of the conversation. Youâ??ll learn how AI and the cloud have impacted how we grapple with ever-growing datasets and get better insight and products. About the Strata Data Superstream Series: This four-part series of half-day online events gives attendees an overarching perspective of key topics that will help your organization maximize the business impact of your data. What you'll learn-and how you can apply it Understand the problems the modern data stack helps solve today and get a glimpse of where weâ??re headed Get an overview of AI and machine learning and see how they can improve your data science work Learn how to present your data clearly and articulately This Superstream is for you because... You want to learn how data science works and understand its impacts, whether youâ??re swimming in data or just dipping in a toe. You need to know the trends in data workflows, techniques, and tools. Youâ??re interested in learning the role AI can play in your data analysis and want to find out where to start. You want to learn how to best present your data to outside stakeholders. Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommend follow-up: Read Data Science from Scratch (book) Read Fundamentals of Data Visualization (book) Read Introduction to Machine Learning with Python (book). Electronic videos Handy, Tristan VerfasserIn aut Odubela, Ayodele VerfasserIn aut Pelzel, Kristi VerfasserIn aut Dai, Jason VerfasserIn aut McRaney, David VerfasserIn aut Krishnamurthy, Venkat VerfasserIn aut Baden, Alex VerfasserIn aut O'Reilly for Higher Education (Firm), MitwirkendeR ctb Safari, an O'Reilly Media Company. MitwirkendeR ctb |
| spellingShingle | Croll, Alistair Handy, Tristan Odubela, Ayodele Pelzel, Kristi Dai, Jason McRaney, David Krishnamurthy, Venkat Baden, Alex Strata Data Superstream Data Science Fundamentals Electronic videos |
| title | Strata Data Superstream Data Science Fundamentals |
| title_auth | Strata Data Superstream Data Science Fundamentals |
| title_exact_search | Strata Data Superstream Data Science Fundamentals |
| title_full | Strata Data Superstream Data Science Fundamentals Croll, Alistair |
| title_fullStr | Strata Data Superstream Data Science Fundamentals Croll, Alistair |
| title_full_unstemmed | Strata Data Superstream Data Science Fundamentals Croll, Alistair |
| title_short | Strata Data Superstream |
| title_sort | strata data superstream data science fundamentals |
| title_sub | Data Science Fundamentals |
| topic | Electronic videos |
| topic_facet | Electronic videos |
| work_keys_str_mv | AT crollalistair stratadatasuperstreamdatasciencefundamentals AT handytristan stratadatasuperstreamdatasciencefundamentals AT odubelaayodele stratadatasuperstreamdatasciencefundamentals AT pelzelkristi stratadatasuperstreamdatasciencefundamentals AT daijason stratadatasuperstreamdatasciencefundamentals AT mcraneydavid stratadatasuperstreamdatasciencefundamentals AT krishnamurthyvenkat stratadatasuperstreamdatasciencefundamentals AT badenalex stratadatasuperstreamdatasciencefundamentals AT oreillyforhighereducationfirm stratadatasuperstreamdatasciencefundamentals AT safarianoreillymediacompany stratadatasuperstreamdatasciencefundamentals |