SQL for Exploratory Data Analysis Essential Training
SQL for Exploratory Data Analysis Essential Training
Electronic Video - 2018
Learn how to use SQL to understand the characteristics of data sets destined for data science and machine learning.
Сохранить в:
Holdings -
| Соавтор: | |
|---|---|
| Другие авторы: | |
| Формат: | Электронный ресурс Видеозапись |
| Язык: | English |
| Опубликовано: |
Carpenteria, CA
linkedin.com,
2018.
|
| Предметы: | |
| Online-ссылка: | View course details on linkedin.com/learning |
MARC
| LEADER | 00000ngm a22000003i 4500 | ||
|---|---|---|---|
| 001 | LDC672259 | ||
| 003 | LDC | ||
| 005 | 20241219214934.2 | ||
| 006 | m c | ||
| 007 | cr cna a | ||
| 008 | 241219s2018 cau044 o vleng d | ||
| 040 | |a linkedin.com |b eng | ||
| 050 | 4 | |a LDC672259 | |
| 100 | 1 | |a Sullivan, Dan |e speaker. | |
| 245 | 1 | 0 | |a SQL for Exploratory Data Analysis Essential Training. |c with Dan Sullivan |
| 264 | 1 | |a Carpenteria, CA |b linkedin.com, |c 2018. | |
| 306 | |a 00h:44m:07s | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 500 | |a 6/07/201812:00:00AM | ||
| 520 | |a Learn how to use SQL to understand the characteristics of data sets destined for data science and machine learning. | ||
| 511 | 1 | |a Presenter: Dan Sullivan | |
| 520 | |a Learn how to use SQL to understand the characteristics of data sets destined for data science and machine learning. The course begins with an introduction to exploratory data analysis and how it differs from hypothesis-driven statistical analysis. Instructor Dan Sullivan explains how SQL queries and statistical calculations, and visualization tools like Excel and R, can help you verify data quality and avoid incorrect assumptions. Next, find out how to perform data-quality checks, reveal and recover missing values, and check business logic. Discover how to use box plots to understand non-normal distribution of data and use histograms to understand the frequency of data values in particular attributes. Dan also explains how to use the chi square test to understand dependencies and measure correlations between attributes. The course concludes with a collection of tips and best practices for exploratory data analysis. | ||
| 538 | |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. | ||
| 655 | 4 | |a Instructional films. |2 lcgft | |
| 655 | 4 | |a Educational films. |2 lcgft | |
| 710 | 2 | |a linkedin.com (Firm) | |
| 856 | 4 | 0 | |u https://www.linkedin.com/learning/sql-for-exploratory-data-analysis-essential-training?u=95224889&auth=true |z View course details on linkedin.com/learning |
| 092 | |a ONLINE CLASS | ||