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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-numpy-foundation-and-practice-challenging-exercises/
课程评论：没有评论
课程名称：掌握 Numpy 基础与实践挑战性练习 课程概述：本课程旨在帮助学员构建从事数据科学所需的基础知识。课程不仅教授 Python 基础和广受欢迎的数据科学基础库 Numpy，还为学生和程序员提供大量具有挑战性的练习，从而在学习过程中积累实际操作经验。完成该课程后，学生将对 Numpy 有深入的理解与应用能力。 讲师介绍：本课程的讲师是 EPGDM 商业分析课程的大学成绩优异者，在多个数据科学比赛中也获得过优异的排名，拥有超过 16 年的信息技术行业经验。更多信息请查看 Udemy 讲师部分。 练习设置： - Python 练习数量：20 - Numpy 练习数量：60+ 这些练习经过特别设计，让学生在每个主题完成后立即进行动手实践。解决方案文件不仅包含代码，还附有详细的解决方案解释。此外，为了避免学生在完成练习之前查看解决方案，还提供提示文件。 测验设置： - 问题数量：350 您可能会想，每个课程都有测验，这门课程的测验有什么特别之处呢？此课程中的测验问题经过精心设计，包含具有挑战性的问题及所有选项的解释。问题内容不仅包括代码输出测试，还要求学生分析所有选择。 课程内容：高层次上，本课程涵盖以下章节： - Python 基础 - Numpy 基础 - 统计学概念 - Numpy 在统计学中的应用 - 线性代数概念 - Numpy 在线性代数中的应用 学习投入：除了讲座时间外，学生还将花费 60 小时进行练习和测验问题的学习。您可以在预览视频中查看这些时间的详细信息。 反馈：请通过诚实的评价支持本课程。
This course helps you to build the foundation to work with Data Science. This course is not just learning PYTHON basics, and NUMPY , the popular data science foundation package in python, but also provides students and programmers to get practice with lot of challenging exercises while you learn. Thus, students get strong hands-on with numpy when they complete this course.InstructorThe Instructor of this course is the university topper in EPGDM Business Analytics Course and also got top ranking achievements in multiple data science competitions. The instructor have more than 16 years of experience in the IT industry. Please refer to the Udemy Instructor section for more detail.ExercisesNo of Exercises in Python: 20No of Exercises in Numpy: 60+These exercises are specially designed to get the hands on immediately after completion of every topic. The solution files contain not just the code alone, but also embedded with the detailed explanation of the solution. Additionally, hints files are provided for exercises in-order for students to avoid viewing the solution before completing the exercise.QuizNo of questions: 350You might think that every course has got quiz, then what's so special about quiz in this course.This course contains specially designed quiz to have challenging questions with explanations for all choices. The questions include testing the output of the code, questions forces students to analyse all the choices etc.ContentAt high level, this course covers following chapters:Python BasicsNumpyStatistics conceptsNumpy for StatisticsLinear Algebra ConceptsNumpy for Linear AlgebraPractice EffortBesides lecture duration, students will spend valuable 60 hours for exercises and quiz questions. You can see the detail of this time in preview videos.FeedbackPLEASE SUPPORT THIS COURSE BY YOUR HONEST REVIEW
