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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-data-analysis-with-sas/
课程评论：没有评论
**课程名称：** SAS统计与数据分析入门 **课程概述：** 本课程旨在帮助学习者从零开始掌握SAS软件，以进行统计与数据分析。SAS作为商业智能领域的领导者，在商业分析和数据挖掘方面拥有强大的统计功能。然而，对于许多人来说，SAS仍然是一个相对陌生的工具。本课程将通过SAS Studio软件，系统地讲解SAS的应用，让学习者能够轻松处理复杂数据并从中提取有价值的见解。 **课程亮点：** * **零基础入门：** 课程从SAS基础开始，适合初学者。 * **结构清晰：** 课程分为两大部分，第一部分侧重于数据的基本概念和处理，第二部分深入探讨更高级的统计概念。 * **内容全面：** 涵盖数据描述（图示与数值方法）、概率分布、双变量数据分析、统计推断（假设检验、显著性检验）、线性回归和方差分析。 * **实践导向：** 学习者将有机会在实际项目中应用所学知识，包括单变量和双变量分析、线性模型等。 **课程内容包括：** * 数据介绍：总体与样本、变量类型、偏差来源 * SAS数据模拟与误差边际计算 * 数据可视化：条形图、直方图、箱线图、Q-Q图 * 数据统计量：均值、中位数、偏度、标准差的关系 * 双变量数据分析 * 概率：分布与概率思维 * 统计推断：假设检验与统计显著性 * 建模：线性回归与方差分析 * 项目实践：涵盖单变量、双变量分析及线性模型 **完成课程后，您将能够：** * 熟练使用SAS Studio进行数据分析。 * 掌握描述数据的图形和数值方法。 * 理解基本概率分布和双变量数据分析方法。 * 能够进行假设检验和理解统计显著性。 * 构建和解释线性回归及方差分析模型。 通过本课程，您将体验到SAS先进分析的强大功能，并能将其应用于未来的项目。
It has been more than 2 decades since the arrival of SAS in the market. Since then, it has become an industry leader for providing unmatched business intelligence software. Undoubtedly, today, SAS is the most popular & widely used tool for commercial analytics having powerful statistical features. You can even generate meaningful insights from the most complex data without any hassle.Despite all its popularity & usefulness, SAS remains new for many. Its right knowledge can literally help anyone to leverage data to generate advanced analytics helping numerous organisations from almost any industry. To help people learn SAS, we have created this SAS online course fir statistics & data analysis. With this online course, you can easily implement all the concepts associated with it using SAS Studio Software for an upcoming project.Why This Course Is Unique?With this course, you will learn to work with SAS from scratch for your upcoming projects. In order to simplify all the concepts, this course is divided into 2 parts comprising of different sections. In the 1st part, you will mostly learn about the data, wherein, the more advanced concepts are covered in the 2nd part. The later half of this course will teach you about the probability, statistical inference, creating or interpreting linear regression & ANOVA models.Upon completion, you will have a complete understanding of graphical & numerical methods for describing data, basic probability distributions, methods for describing bivariate data, basic probability concepts, significance tests, hypothesis testing, linear regression, and analysis of variance.This Course Includes:Introduction to dataPopulation & sample, variable types, sources of biasData stimulation in SAS & calculation margin of errorBar charts, histograms, box plots, Q-Q plotsRelationship between mean, median, skewness, and standard deviationsUnderstanding bivariate data setsProbability: Distributions and thinking about the chanceInference: Hypothesis Testing and Statistical SignificanceModeling: Linear regression and analysis of varianceA project involving univariate and bivariate analyses, linear modelLearn SAS from scratch to experience the power of advanced analytics for your next project!!
