Data Understanding and Data Visualization with Python:
Learn data visualization from scratch About This Video Learn data manipulation and visualization from scratch Master various Python libraries such as NumPy, Pandas, Matplotlib, and so on Create interactive, insightful visualizations In Detail Data visualization has gained a lot of traction resulting...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Körperschaften: | , |
| Format: | Elektronisch Video |
| Sprache: | Englisch |
| Veröffentlicht: |
[Erscheinungsort nicht ermittelbar]
Packt Publishing
2021
|
| Ausgabe: | 1st edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781801078795/?ar |
| Zusammenfassung: | Learn data visualization from scratch About This Video Learn data manipulation and visualization from scratch Master various Python libraries such as NumPy, Pandas, Matplotlib, and so on Create interactive, insightful visualizations In Detail Data visualization has gained a lot of traction resulting from an increased focus on data analytics. To be a successful data scientist, data manipulation and wrangling is not enough. Visualizing data to garner insights is an equally important tool in the data science toolkit. Given the myriad types of data that exist, visualization has become an increasingly important topic. This course will equip you with all the skills you need to successfully create insightful visualizations. The course first starts with the fundamentals of Python. Then, the course teaches you how to use libraries such as NumPy, Pandas, Matplotlib, Seaborn, Bokeh, and so on. Additionally, you will learn data manipulation, which is the step prior to visualization. You will also learn how to plot geographical data using Folium. Each module in the course has practical hands-on mini projects. Hence, you not only learn the theoretical fundamentals of visualizations but also gain essential practical skills. With over 12 hours of content, this is one of the most comprehensive courses you will be doing on data visualization in Python. |
| Beschreibung: | Online resource; Title from title screen (viewed March 26, 2021) |
| Umfang: | 1 online resource (1 video file, approximately 12 hr., 17 min.) |
| ISBN: | 9781801078795 1801078793 |
Internformat
MARC
| LEADER | 00000cgm a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-063079232 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121343.0 | ||
| 006 | m o | | | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210427s2021 xx ||| |o o ||eng c | ||
| 020 | |a 9781801078795 |9 978-1-80107-879-5 | ||
| 020 | |a 1801078793 |9 1-80107-879-3 | ||
| 035 | |a (DE-627-1)063079232 | ||
| 035 | |a (DE-599)KEP063079232 | ||
| 035 | |a (ORHE)9781801078795 | ||
| 035 | |a (DE-627-1)063079232 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 100 | 1 | |a Sciences, AI |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Data Understanding and Data Visualization with Python |c Sciences, AI |
| 250 | |a 1st edition. | ||
| 264 | 1 | |a [Erscheinungsort nicht ermittelbar] |b Packt Publishing |c 2021 | |
| 300 | |a 1 online resource (1 video file, approximately 12 hr., 17 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 March 26, 2021) | ||
| 520 | |a Learn data visualization from scratch About This Video Learn data manipulation and visualization from scratch Master various Python libraries such as NumPy, Pandas, Matplotlib, and so on Create interactive, insightful visualizations In Detail Data visualization has gained a lot of traction resulting from an increased focus on data analytics. To be a successful data scientist, data manipulation and wrangling is not enough. Visualizing data to garner insights is an equally important tool in the data science toolkit. Given the myriad types of data that exist, visualization has become an increasingly important topic. This course will equip you with all the skills you need to successfully create insightful visualizations. The course first starts with the fundamentals of Python. Then, the course teaches you how to use libraries such as NumPy, Pandas, Matplotlib, Seaborn, Bokeh, and so on. Additionally, you will learn data manipulation, which is the step prior to visualization. You will also learn how to plot geographical data using Folium. Each module in the course has practical hands-on mini projects. Hence, you not only learn the theoretical fundamentals of visualizations but also gain essential practical skills. With over 12 hours of content, this is one of the most comprehensive courses you will be doing on data visualization in Python. | ||
| 650 | 0 | |a Streaming video | |
| 650 | 0 | |a Internet videos | |
| 650 | 4 | |a Vidéo en continu | |
| 650 | 4 | |a Vidéos sur Internet | |
| 650 | 4 | |a streaming video | |
| 650 | 4 | |a Electronic videos | |
| 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/-/9781801078795/?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-063079232 |
|---|---|
| _version_ | 1833357151588843520 |
| adam_text | |
| any_adam_object | |
| author | Sciences, AI |
| author_corporate | O'Reilly for Higher Education (Firm) Safari, an O'Reilly Media Company |
| author_corporate_role | ctb ctb |
| author_facet | Sciences, AI O'Reilly for Higher Education (Firm) Safari, an O'Reilly Media Company |
| author_role | aut |
| author_sort | Sciences, AI |
| author_variant | a s as |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)063079232 (DE-599)KEP063079232 (ORHE)9781801078795 |
| edition | 1st edition. |
| format | Electronic Video |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02962cgm a22004572c 4500</leader><controlfield tag="001">ZDB-30-ORH-063079232</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121343.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210427s2021 xx ||| |o o ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781801078795</subfield><subfield code="9">978-1-80107-879-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1801078793</subfield><subfield code="9">1-80107-879-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)063079232</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP063079232</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781801078795</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)063079232</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">Sciences, AI</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data Understanding and Data Visualization with Python</subfield><subfield code="c">Sciences, AI</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">Packt Publishing</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 video file, approximately 12 hr., 17 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 March 26, 2021)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Learn data visualization from scratch About This Video Learn data manipulation and visualization from scratch Master various Python libraries such as NumPy, Pandas, Matplotlib, and so on Create interactive, insightful visualizations In Detail Data visualization has gained a lot of traction resulting from an increased focus on data analytics. To be a successful data scientist, data manipulation and wrangling is not enough. Visualizing data to garner insights is an equally important tool in the data science toolkit. Given the myriad types of data that exist, visualization has become an increasingly important topic. This course will equip you with all the skills you need to successfully create insightful visualizations. The course first starts with the fundamentals of Python. Then, the course teaches you how to use libraries such as NumPy, Pandas, Matplotlib, Seaborn, Bokeh, and so on. Additionally, you will learn data manipulation, which is the step prior to visualization. You will also learn how to plot geographical data using Folium. Each module in the course has practical hands-on mini projects. Hence, you not only learn the theoretical fundamentals of visualizations but also gain essential practical skills. With over 12 hours of content, this is one of the most comprehensive courses you will be doing on data visualization in Python.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Streaming video</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Internet videos</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vidéo en continu</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vidéos sur Internet</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">streaming video</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic videos</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/-/9781801078795/?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-063079232 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-28T09:47:08Z |
| institution | BVB |
| isbn | 9781801078795 1801078793 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 online resource (1 video file, approximately 12 hr., 17 min.) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Sciences, AI VerfasserIn aut Data Understanding and Data Visualization with Python Sciences, AI 1st edition. [Erscheinungsort nicht ermittelbar] Packt Publishing 2021 1 online resource (1 video file, approximately 12 hr., 17 min.) zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; Title from title screen (viewed March 26, 2021) Learn data visualization from scratch About This Video Learn data manipulation and visualization from scratch Master various Python libraries such as NumPy, Pandas, Matplotlib, and so on Create interactive, insightful visualizations In Detail Data visualization has gained a lot of traction resulting from an increased focus on data analytics. To be a successful data scientist, data manipulation and wrangling is not enough. Visualizing data to garner insights is an equally important tool in the data science toolkit. Given the myriad types of data that exist, visualization has become an increasingly important topic. This course will equip you with all the skills you need to successfully create insightful visualizations. The course first starts with the fundamentals of Python. Then, the course teaches you how to use libraries such as NumPy, Pandas, Matplotlib, Seaborn, Bokeh, and so on. Additionally, you will learn data manipulation, which is the step prior to visualization. You will also learn how to plot geographical data using Folium. Each module in the course has practical hands-on mini projects. Hence, you not only learn the theoretical fundamentals of visualizations but also gain essential practical skills. With over 12 hours of content, this is one of the most comprehensive courses you will be doing on data visualization in Python. Streaming video Internet videos Vidéo en continu Vidéos sur Internet streaming video Electronic videos O'Reilly for Higher Education (Firm), MitwirkendeR ctb Safari, an O'Reilly Media Company. MitwirkendeR ctb |
| spellingShingle | Sciences, AI Data Understanding and Data Visualization with Python Streaming video Internet videos Vidéo en continu Vidéos sur Internet streaming video Electronic videos |
| title | Data Understanding and Data Visualization with Python |
| title_auth | Data Understanding and Data Visualization with Python |
| title_exact_search | Data Understanding and Data Visualization with Python |
| title_full | Data Understanding and Data Visualization with Python Sciences, AI |
| title_fullStr | Data Understanding and Data Visualization with Python Sciences, AI |
| title_full_unstemmed | Data Understanding and Data Visualization with Python Sciences, AI |
| title_short | Data Understanding and Data Visualization with Python |
| title_sort | data understanding and data visualization with python |
| topic | Streaming video Internet videos Vidéo en continu Vidéos sur Internet streaming video Electronic videos |
| topic_facet | Streaming video Internet videos Vidéo en continu Vidéos sur Internet streaming video Electronic videos |
| work_keys_str_mv | AT sciencesai dataunderstandinganddatavisualizationwithpython AT oreillyforhighereducationfirm dataunderstandinganddatavisualizationwithpython AT safarianoreillymediacompany dataunderstandinganddatavisualizationwithpython |