Data Cleaning in Python Essential Training
Data Cleaning in Python Essential Training
Electronic Video - 2022
Improve the overall analytic workflow of your organization by boosting your data cleaning skills in Python.
Сохранить в:
Holdings -
| Соавтор: | |
|---|---|
| Другие авторы: | |
| Формат: | Электронный ресурс Видеозапись |
| Язык: | English |
| Опубликовано: |
Carpenteria, CA
linkedin.com,
2022.
|
| Предметы: | |
| Online-ссылка: | View course details on linkedin.com/learning |
MARC
| LEADER | 00000ngm a22000003i 4500 | ||
|---|---|---|---|
| 001 | LDC3086536 | ||
| 003 | LDC | ||
| 005 | 20241219214933.5 | ||
| 006 | m c | ||
| 007 | cr cna a | ||
| 008 | 241219s2022 cau065 o vleng d | ||
| 040 | |a linkedin.com |b eng | ||
| 050 | 4 | |a LDC3086536 | |
| 100 | 1 | |a Tebeka, Miki |e speaker. | |
| 245 | 1 | 0 | |a Data Cleaning in Python Essential Training. |c with Miki Tebeka |
| 264 | 1 | |a Carpenteria, CA |b linkedin.com, |c 2022. | |
| 306 | |a 01h:05m:31s | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 500 | |a 11/09/202212:00:00AM | ||
| 520 | |a Improve the overall analytic workflow of your organization by boosting your data cleaning skills in Python. | ||
| 511 | 1 | |a Presenter: Miki Tebeka | |
| 520 | |a If you’re looking for more efficient ways to prepare your data for analysis, it’s time to level up your skill set and reassess your approach to data cleaning. In this course, instructor Miki Tebeka shows you some of the most important features of productive data cleaning and acquisition, with practical coding examples using Python to test your skills. Learn about the organizational value of clean high-quality data, developing your ability to recognize common errors and quickly fix them as you go. Along the way, Miki offers cleaning strategies that can help optimize your workflow, including tips for causal analysis and easy-to-use tools for error prevention. This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started. | ||
| 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/data-cleaning-in-python-essential-training-17061364?u=95224889&auth=true |z View course details on linkedin.com/learning |
| 092 | |a ONLINE CLASS | ||