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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/python-project-for-data-science
课程评论：没有评论
课程名称：Python数据科学项目 课程概述：本迷你课程旨在帮助学员展示用于数据处理的基础Python技能。完成本课程需要参与一个实践项目，您将使用Python开发一个简单的仪表板。该课程是IBM数据科学职业证书和IBM数据分析职业证书的一部分。 prerequisites：**Python数据科学、人工智能及开发**课程是本项目课程的先修课程。请确保在参加本课程之前，您已完成IBM的Python数据科学、人工智能及开发课程，或具备同等的Python和数据处理能力。 注意：本课程并不旨在教授Python，教学内容相对有限。它的目的是让您应用已有的Python知识。 课程大纲： 1. 名称：众包短压仪表板 2. 描述：在本模块中，您将展示您在Python中的技能，这也是数据科学和数据分析的优选语言。您将应用Python基础知识、Python数据结构，并在Python中处理数据。通过参与真实项目，您将模拟数据科学家或数据分析师的角色，使用Jupyter Notebook和流行的Python库构建仪表板。
Name: Crowdsourcing Short squeeze Dashboard
Description:In this module, you will demonstrate your skills in Python - the language of choice for Data Science and Data Analysis. You will apply Python fundamentals, Python data structures, and work with data in Python. By working on a real project, you will model a Data Scientist or Data Analyst's role, and build a dashboard using Python and popular Python libraries using Jupyter notebook.
This mini-course is intended to for you to demonstrate foundational Python skills for working with data. The completion of this course involves working on a hands-on project where you will develop a simple dashboard using Python. This course is part of the IBM Data Science Professional Certificate and the IBM Data Analytics Professional Certificate. PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. NOTE: This course is not intended to teach you Python and does not have too much instructional content. It is intended for you to apply prior Python knowledge.
