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Applied Data Science with Python

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Applied Data Science with Python

.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | ~ 8 hours | 1.12 GB

Provider: V2 Maestros

Learn how to execute an end-to-end data science project and deliver business results

"Data Science is the sexiest job of the 21st century - It has exciting work and incredible pay".

Learning Data Science though is not an easy task. The field traverses through Computer Science, Programming, Information Theory, Statistics and Artificial Intelligence. College/University courses in this field are expensive. Becoming a Data Scientist through self-study is challenging since it requires going through multiple books, websites, searches and exercises and you will still end up feeling "not complete" at the end of it. So how do you acquire full-stack Data Science skills that will get you a and give you the confidence to execute it?

Applied Data Science with Python addresses the problem. This course provides extensive, end-to-end coverage of all activities performed in a Data Science project. If teaches application of the latest techniques in data acquisition, transformation and predictive analytics to solve real world business problems. The goal of this course is to teach practice rather than theory. Rather than deep dive into formulae and derivations, it focuses on using existing libraries and tools to produce solutions. It also keeps things simple and easy to understand.

Through this course, we strive to make you fully equipped to become a developer who can execute full fledged Data Science projects. By taking this course, you will

Appreciate what Data Science really is
Understand the Data Science Life Cycle
Learn to use Python for executing Data Science Projects
Master the application of Analytics and Machine Learning techniques
Gain insight into how Data Science works through end-to-end use cases.

Applied Data Science with Python
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网友最新评论 (2)

  1. RAR files are broken. Can't extract it.
    gwx1234112年前 (2015-06-16)
  2. 通过Python学习应用数据科学 通过本教程学习如何执行端到端数据科学项目以及获得业务结果。 数据科学是21世纪最热门的工作,工作好报酬高! 尽管学习数据科学并非易事,这个领域涉及到计算机科学、编程、信息理论、统计学和人工智能。大学课程是昂贵的。通过自学成为数据科学家是一个很大的挑战,因为它需要读很多书、浏览很多网站、搜索和实践之后,你还不一定能够感觉学到什么了。 本教程就是为了解决上面的问题。教程提供了丰富的各式各样的活动项目。如果教授在数据获取、转换和预测分析的技术来解决真实业务中的问题,那么本教程的目的就是要讲授实践而非理论。与深入探讨公式不同,本教程集中于使用已有的类库和工具处理问题。并且做到易懂好学。
    wilde(特殊组-翻译)2年前 (2015-03-11)