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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics-for-data-science-business-analytics/
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课程名称：数据科学与商业分析的统计学 课程概述：掌握统计学基础，提高您的数据分析技能！本课程旨在为初学者和中级学习者提供关于数据科学、分析和决策的统计学坚实基础。通过简化复杂的统计概念并结合实际应用，帮助您在数据分析、假设检验和回归建模方面建立信心。 您将学习到的内容： - 模块1：统计学简介 - 了解统计学在数据科学中的作用、数据类型以及描述性统计与推断性统计之间的关键区别。 - 模块2：描述性统计 - 学习集中趋势的度量（均值、中位数、众数）、离散程度的度量（极差、方差、标准差），以及如何使用直方图、箱形图和散点图可视化数据。 - 模块3：概率基础 - 掌握条件概率、贝叶斯定理等概率概念。 - 模块4：概率分布 - 理解离散和连续概率分布，包括二项分布、泊松分布、正态分布、指数分布及中心极限定理（CLT）。 - 模块5：推断统计 - 深入学习抽样技术、置信区间、假设检验（错误类型、t检验和z检验）以及卡方检验。 - 模块6：回归与相关性 - 理解相关性和因果关系、线性回归分析（编码练习）、线性回归方程的解释、回归的关键摘要统计的解读以及线性回归的主要假设和局限性（多重线性回归即将推出）。 适合对象： - 有志于成为数据科学家、商业分析师和研究人员的人士 - 希望加强统计基础的MBA及分析学生 - 财务、市场营销和商业策略领域的学生与专业人士 - 希望有效解读和分析数据的任何人 为何选择此课程？ - 初学者友好的解释与实际例子 - 不需要高级数学背景——概念以直观方式解释 - 动手学习统计工具与可视化技术 - 对于数据驱动决策职业至关重要 通过本课程，您将能够自信地应用统计技术进行数据分析、检验假设并构建预测模型——这是任何数据专业人士必备的技能！准备好将数据转化为可操作的洞察吗？现在就注册，掌握现实决策中的统计学！
Master the Fundamentals of Statistics and Elevate Your Data Analysis Skills!Are you looking to build a strong foundation in statistics for data science, analytics, and decision-making? This beginner-to-intermediate level course is designed to simplify complex statistical concepts with real-world applications, helping you gain confidence in data analysis, hypothesis testing, and regression modeling.What You'll Learn: Module 1: Introduction to Statistics - Understand the role of statistics in data science types of datakey distinctions between descriptive & inferential statistics.Module 2: Descriptive Statistics - Learn about measures of central tendency (mean, median, mode)Measure of dispersion (range, variance, standard deviation)visualize data using histograms, box plots, and scatter plots.Module 3: Probability Basics - Master probability conceptsconditional probabilityBayes' theorem Module 4: Probability Distributions - Understanding Discrete and Continuous Probability distributions Binomial DistributionPoisson DistributionNormal DistributionExponential DistributionCentral Limit Theorem(CLT)Module 5: Inferential Statistics - Dive into sampling techniquesWhat is confidence intervalshypothesis testing Types of errorst-tests & z-testsUnderstanding chi-square testModule 6: Regression & Correlation - 1. Understanding correlation and Causation2. Linear Regression Analysis-coding exercise3. Interpreting the Linear Regression equation4. Interpreting the key summary statistics of Regression5. Key assumptions and limitations in Simple Linear Regression6.Multi Linear Regression ( coming soon) Who Is This Course For? Aspiring Data Scientists, Business Analysts, and ResearchersMBA & Analytics Students looking to strengthen their statistical foundationStudents & professionals in Finance, Marketing, and Business Strategy Anyone looking to interpret and analyze data effectively Why Take This Course?Beginner-friendly explanations with real-world examplesNo prior advanced math required-concepts explained intuitivelyHands-on learning with statistical tools and visualization techniquesEssential for careers in data-driven decision-makingBy the end of this course, you'll be able to confidently apply statistical techniques to analyze data, test hypotheses, and build predictive models-a must-have skill set for any data professional!Ready to turn data into actionable insights? Enroll now and master statistics for real-world decision-making!
