Basic statistics and data mining for data science:
"This video course consists of step-by-step introductions to analyze data and the basics of statistics. The first chapter focuses on the steps to analyze data and which summary statistics are relevant given the type of data you are summarizing. The second chapter continues by focusing on summar...
Gespeichert in:
| Weitere beteiligte Personen: | |
|---|---|
| Format: | Elektronisch Video |
| Sprache: | Englisch |
| Veröffentlicht: |
[Place of publication not identified]
Packt
2017
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781788476782/?ar |
| Zusammenfassung: | "This video course consists of step-by-step introductions to analyze data and the basics of statistics. The first chapter focuses on the steps to analyze data and which summary statistics are relevant given the type of data you are summarizing. The second chapter continues by focusing on summarizing individual variables and specifically some of the reasons users need to summarize variables. This chapter also illustrates several procedures, such as how to run and interpret frequencies and how to create various graphs. The third chapter introduces the idea of inferential statistics, probability, and hypothesis testing. The rest of the chapters show you how to perform and interpret the results of basic statistical analyses (chi-square, independent and paired sample t-tests, one-way ANOVA, post-hoc tests, and bivariate correlations) and graphical displays (clustered bar charts, error bar charts, and scatterplots). You will also learn when to use different statistical techniques, how to set up different analyses, and how to interpret the results."--Resource description page |
| Beschreibung: | Title from title screen (Safari, viewed January 15, 2018). - Release date from resource description page (Safari, viewed January 15, 2018) |
| Umfang: | 1 Online-Ressource (1 streaming video file (2 hr., 58 min., 10 sec.)) |
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| spelling | Salcedo, Jesus RednerIn spk Basic statistics and data mining for data science [Place of publication not identified] Packt 2017 1 Online-Ressource (1 streaming video file (2 hr., 58 min., 10 sec.)) zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Title from title screen (Safari, viewed January 15, 2018). - Release date from resource description page (Safari, viewed January 15, 2018) "This video course consists of step-by-step introductions to analyze data and the basics of statistics. The first chapter focuses on the steps to analyze data and which summary statistics are relevant given the type of data you are summarizing. The second chapter continues by focusing on summarizing individual variables and specifically some of the reasons users need to summarize variables. This chapter also illustrates several procedures, such as how to run and interpret frequencies and how to create various graphs. The third chapter introduces the idea of inferential statistics, probability, and hypothesis testing. The rest of the chapters show you how to perform and interpret the results of basic statistical analyses (chi-square, independent and paired sample t-tests, one-way ANOVA, post-hoc tests, and bivariate correlations) and graphical displays (clustered bar charts, error bar charts, and scatterplots). You will also learn when to use different statistical techniques, how to set up different analyses, and how to interpret the results."--Resource description page Data mining Statistics Quantitative research Data Mining Exploration de données (Informatique) Recherche quantitative Data mining (OCoLC)fst00887946 Quantitative research (OCoLC)fst01742283 Statistics (OCoLC)fst01132103 Instructional films (OCoLC)fst01726236 Instructional films Films de formation |
| spellingShingle | Basic statistics and data mining for data science Data mining Statistics Quantitative research Data Mining Exploration de données (Informatique) Recherche quantitative Data mining (OCoLC)fst00887946 Quantitative research (OCoLC)fst01742283 Statistics (OCoLC)fst01132103 Instructional films (OCoLC)fst01726236 Instructional films Films de formation |
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| title | Basic statistics and data mining for data science |
| title_auth | Basic statistics and data mining for data science |
| title_exact_search | Basic statistics and data mining for data science |
| title_full | Basic statistics and data mining for data science |
| title_fullStr | Basic statistics and data mining for data science |
| title_full_unstemmed | Basic statistics and data mining for data science |
| title_short | Basic statistics and data mining for data science |
| title_sort | basic statistics and data mining for data science |
| topic | Data mining Statistics Quantitative research Data Mining Exploration de données (Informatique) Recherche quantitative Data mining (OCoLC)fst00887946 Quantitative research (OCoLC)fst01742283 Statistics (OCoLC)fst01132103 Instructional films (OCoLC)fst01726236 Instructional films Films de formation |
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