Python Statistics Essential Training
Python Statistics Essential Training
Electronic Video - 2023
Learn to use Python to unlock the power of data and use it to inform decisions.
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| Tác giả của công ty: | |
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| Định dạng: | Điện tử Video |
| Ngôn ngữ: | English |
| Được phát hành: |
Carpenteria, CA
linkedin.com,
2023.
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| Những chủ đề: | |
| Truy cập trực tuyến: | View course details on linkedin.com/learning |
MARC
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| 100 | 1 | |a Harrison, Matt |e speaker. | |
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| 338 | |a online resource |2 rdacarrier | ||
| 500 | |a 8/17/202312:00:00AM | ||
| 520 | |a Learn to use Python to unlock the power of data and use it to inform decisions. | ||
| 511 | 1 | |a Presenter: Matt Harrison | |
| 520 | |a The field of statistics has become increasingly dependent on data analysis and interpretation using Python. With the rise of big data and data science, the demand for professionals who can effectively analyze and interpret data using Python has skyrocketed. In this course, Matt Harrison teaches you how to collect, clean, analyze, and visualize data using the powerful tools of the Python programming language. Join Matt as he gives into the various techniques that form the backbone of statistics and helps you understand the data with summary statistics and visualizations. He explains how to create predictive models using both linear regression andXGBoost, and wraps up the course with a look at hypothesis testing. If you’re interested in exploring statistics using a code-first approach, join Matt in this course as he shows you how to use Python to unlock the power of data. | ||
| 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/python-statistics-essential-training-19258005?u=95224889&auth=true |z View course details on linkedin.com/learning |
| 092 | |a ONLINE CLASS | ||