Advanced applied SQL for business intelligence and analytics:
"This example-driven course provides thoughtful and interactive commentary throughout. We understand the common mistakes and misconceptions you might make and help you navigate tricky SQL concepts. Window Functions are used in detail throughout the course to solve problems dealing with finding...
Gespeichert in:
| Weitere beteiligte Personen: | |
|---|---|
| Format: | Elektronisch Video |
| Sprache: | Englisch |
| Veröffentlicht: |
[Place of publication not identified]
Packt
[2018]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781788470803/?ar |
| Zusammenfassung: | "This example-driven course provides thoughtful and interactive commentary throughout. We understand the common mistakes and misconceptions you might make and help you navigate tricky SQL concepts. Window Functions are used in detail throughout the course to solve problems dealing with finding the first order or the Nth instance of an event, computing the timing between events, and new and repeat purchase behaviors among customers. You'll run through the workflow from SQL to a local host connection in Tableau and also analysis, all of which you'll need in your professional life. Concepts such as CASE statements, common table expressions, and subqueries will be explained via case studies. You'll generate web analytics acquisition source data using Python and then create tables to store your information. By the end of the course, you will have gone through all the examples and coded them out, and you'll be ready to confidently tackle non-trivial problems. Supercharge your data productivity today with this course and get 100x your time investment back in the next year or two!"--Resource description page |
| Beschreibung: | Title from title screen (viewed March 20, 2018). - Date of publication from resource description page |
| Umfang: | 1 Online-Ressource (1 streaming video file (2 hr., 49 min., 46 sec.)) |
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| spelling | James, Jeffrey RednerIn spk Advanced applied SQL for business intelligence and analytics Jeffrey James [Place of publication not identified] Packt [2018] 1 Online-Ressource (1 streaming video file (2 hr., 49 min., 46 sec.)) zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Title from title screen (viewed March 20, 2018). - Date of publication from resource description page "This example-driven course provides thoughtful and interactive commentary throughout. We understand the common mistakes and misconceptions you might make and help you navigate tricky SQL concepts. Window Functions are used in detail throughout the course to solve problems dealing with finding the first order or the Nth instance of an event, computing the timing between events, and new and repeat purchase behaviors among customers. You'll run through the workflow from SQL to a local host connection in Tableau and also analysis, all of which you'll need in your professional life. Concepts such as CASE statements, common table expressions, and subqueries will be explained via case studies. You'll generate web analytics acquisition source data using Python and then create tables to store your information. By the end of the course, you will have gone through all the examples and coded them out, and you'll be ready to confidently tackle non-trivial problems. Supercharge your data productivity today with this course and get 100x your time investment back in the next year or two!"--Resource description page SQL (Computer program language) Business intelligence Client/server computing SQL (Langage de programmation) Architecture client-serveur (Informatique) Business intelligence (OCoLC)fst00842723 Client/server computing (OCoLC)fst00864205 SQL (Computer program language) (OCoLC)fst01102869 Electronic videos |
| spellingShingle | Advanced applied SQL for business intelligence and analytics SQL (Computer program language) Business intelligence Client/server computing SQL (Langage de programmation) Architecture client-serveur (Informatique) Business intelligence (OCoLC)fst00842723 Client/server computing (OCoLC)fst00864205 SQL (Computer program language) (OCoLC)fst01102869 Electronic videos |
| subject_GND | (OCoLC)fst00842723 (OCoLC)fst00864205 (OCoLC)fst01102869 |
| title | Advanced applied SQL for business intelligence and analytics |
| title_auth | Advanced applied SQL for business intelligence and analytics |
| title_exact_search | Advanced applied SQL for business intelligence and analytics |
| title_full | Advanced applied SQL for business intelligence and analytics Jeffrey James |
| title_fullStr | Advanced applied SQL for business intelligence and analytics Jeffrey James |
| title_full_unstemmed | Advanced applied SQL for business intelligence and analytics Jeffrey James |
| title_short | Advanced applied SQL for business intelligence and analytics |
| title_sort | advanced applied sql for business intelligence and analytics |
| topic | SQL (Computer program language) Business intelligence Client/server computing SQL (Langage de programmation) Architecture client-serveur (Informatique) Business intelligence (OCoLC)fst00842723 Client/server computing (OCoLC)fst00864205 SQL (Computer program language) (OCoLC)fst01102869 Electronic videos |
| topic_facet | SQL (Computer program language) Business intelligence Client/server computing SQL (Langage de programmation) Architecture client-serveur (Informatique) Electronic videos |
| work_keys_str_mv | AT jamesjeffrey advancedappliedsqlforbusinessintelligenceandanalytics |