|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/haskell-data-analysis-made-easy/
课程评论：没有评论
课程名称：Haskell：数据分析简易入门 课程概述： 随着每天产生大量数据，分析和组织这些复杂数据的任务变得愈加复杂。Haskell是一种功能强大的函数式编程语言，专为处理复杂数据而设计，其在数据科学领域逐渐受到关注，提供了强大的数据科学实践平台。本课程将介绍Haskell的基本概念，并探讨如何使用Haskell解决实际数据问题。课程内容包括安装过程、Haskell基础概念（如函数和数据结构）以及原始数据的各种格式、数据清理和可视化方法。掌握基础后，学员将学习数据分析的高级概念，如核密度估计、假设检验、回归分析、文本分析、聚类、朴素贝叶斯分类和主成分分析。 课程亮点： - 经过十年的努力，我们的课程结构基于对现实开发者需求的深入研究，旨在帮助开发者保持竞争力。 - 课程注重实践，通过实例来推动学习，而非只停留在理论上。 - 学员将学习Haskell的基本知识，数据操作和可视化，并逐步掌握高级数据算法，让数据更具可读性和可解释性。 - 课程融合文本、视频、代码示例和评估，形成一个模块化的学习路径，便于学员以自己的节奏学习Haskell。 授课师资： 课程由计算机科学助理教授James Church主讲，他拥有丰富的数据分析实践经验。Hakim Cassimally则是Haskell领域的热衷者，自2006年起积极推广Haskell学习。 课程要求： 学员无需具备编程或数据科学的知识即可参与本课程。 课程收益： - 学习Haskell基础 - 掌握数据清理技巧 - 学会绘制图表并根据图表得出结论 - 应用高级算法提取数据中的更多信息 完成课程后，学员将具备使用高级算法进行数据分析和组织的能力。
A staggering amount of data is created everyday; analyzing and organizing this enormous amount of data can be quite a complex task. Haskell is a powerful and well-designed functional programming language that is designed to work with complex data. It is trending in the field of data science as it provides a powerful platform for robust data science practices. This course will introduce the basic concepts of Haskell and move on to discuss how Haskell can be used to solve the issues by using the real-world data. The course will guide you through the installation procedure, after you have all the tools that you require in place, you will explore the basic concepts of Haskell including the functions, and the data structures. It will also discuss the various formats of raw data and the procedures for cleaning the data and plotting them. With a good hold on the basics of Haskell and data analysis, you will then be introduced to advanced concepts of data analysis such as Kernel Density Estimation, Hypothesis Testing, Regression Analysis, Text Analysis, Clustering, Naïve Bayes Classification, and Principal Component Analysis. Why go for this course? We've spent the last decade working to help developers stay relevant. The structure of this course is a result of deep and intensive research into what real-world developers need to know in order to be job-ready. We don't spend too long on theory, and focus on practical results so that you can see for yourself how things work in action. This course follows an example-based approach that will take you through learning Haskell initially, and then learning to manipulate data and visualizing it, and then gradually building your skill level where you can perform advanced algorithms on the data, such that you can make more sense of the data and interpret the future, or give suggestions. It's a blend of text, videos, code examples, and assessments, which together makes your learning journey all the more exciting and truly rewarding. It includes sections that form a sequential flow of concepts covering a focused learning path presented in a modular manner. This helps you learn a range of topics at your own speed and also move towards your goal of learning Haskell. After completing this course, you will be equipped to analyze data and organize them using advanced algorithms. This course is authored by some of the best in the field. We have combined the following best Haskell products by Packt: Learning Haskell Programming by Hakim CassimallyGetting Started with Haskell Data Analysis by James ChurchLearning Haskell Data Analysis by James ChurchAdvanced Data Analysis with Haskell by James Church Meet your expert instructions: James Church is an assistant professor of computer science at Austin Peay State University. He has consulted for various companies and a chemical laboratory for the purpose of performing data analysis work. Hakim Cassimally learned the basics of Lisp 15 years ago and has been interested in functional programming ever since. He has written, spoken, and evangelised about learning and writing Haskell since 2006. What are the requirements?You do not need any programming knowledge, or knowledge in data science before you take up this course. What am I going to get from this course?Learn the basics of HaskellLearn how to clean dataLearn how to plot data on a graph and to draw conclusions based on the graphsApply advanced algorithms on the data to extract more information from the data.
