|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-absolute-beginners-guide-to-statistics-and-probability/
课程评论：没有评论
课程名称：统计与概率指南 课程概述： 本课程旨在帮助学习者以科学家的思维方式来思考和解决问题。统计学训练你的思维，使你能够将问题框架化为假设，并提供测试这些假设的技术，与科学家的工作方式相仿。课程将详细探讨微积分和线性代数，这两者是数据科学所依赖的数学基础。 学习理由： 对于数据科学编程，概率、微积分和线性代数是必不可少的技能。如果你希望理解高级机器学习算法，这些技能将是你的武器库中不可或缺的一部分。 高级统计学： 回归分析、聚类和因子分析都是在机器学习出现之前就已存在的学科。然而，现在这些统计方法都通过机器学习执行，以提供无与伦比的准确性。本部分将详细探讨这些技术。 课程主要特点： - 提供使用统计和分析数据所需的完整工具包 - 涵盖数据分析过程的各个阶段 - 容易理解 - 使用简单英语而非复杂的统计术语 - 实用性强，配有移动购物案例研究 - 包括练习和测验，帮助你掌握数据分析和统计学 完成本课程后，学员将能够自信地应用所学知识，提升统计学学习及做出更明智的商业决策的能力。 适合人群： - 希望增强统计与数学技能的专业人士 - 寻求提升数据分析能力的学习者 学员反馈： 课程信息量大，授课教师优秀，绝对初学者也能轻松理解。尽管授课教师的英语不是以英语为母语的，但整体课程仍然非常值得参加。期待从这位教师那里学习更多知识。 课程结构暂无。
StatisticsYou need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist.MathematicsLearning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail.We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on.Why learn it?Probability, Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal.Advanced StatisticsRegressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail.Main features of this course:Provides you the complete package to be comfortable using statistics and analyzing dataCovers all stages of data analysis processVery easy to understandNo complicated equationsPlain English instead of multiple statistical termsPractical, with mobile shopping case studyExercises and quizzes to help you master data analysis and statisticsUpon completion of this course, you'll be ready to apply what you've learned to excel in your statistics classes and make smarter business decisionsWho this course is for:Professionals desiring to augment their statistical & mathematical skillsAnyone seeking to increase their data analytics capabilityTestimonials:This course is very informative and taught by an excellent instructor. Really loved it. It is very easy to understand for absolute beginners like me. It could be a little problematic for native English speakers, because the instructor is not a native English speaker but otherwise it is worth it. I am looking forward to learn more from this particular instructor. Have a great day guys. ~ Jensen JacobGreat ways of giving examples to help visualising each piece in the puzzle of statistics is going to place. ~ Ngoc Bao Tran Nguyenamazing ~ Ahmed Mohamed Aboelyazied
