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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-tools-basic-of-statistics/
课程评论：没有评论
### 课程总结：数据科学工具：统计学基础 本课程是数据科学领域的入门课程，专注于统计学的基础知识。通过学习，学生们将掌握理解和分析数据的核心技能。 **核心内容包括：** * **数据类型：** 了解不同类型的数据及其在数据分析中的重要性，并辅以实例说明。 * **数据分析与解释：** 提升分析、解释和解读数据的能力。 * **变量关系与预测：** 学习皮尔逊相关系数、散点图和线性回归分析，理解变量之间的关系和依赖性，并进行预测。 * **描述性统计：** * **集中趋势：** 掌握均值、中位数、众数等描述数据中心位置的方法。 * **离散程度：** 学习方差、标准差、变异系数等衡量数据离散程度的指标。 * **数据分布：** 了解如何计算四分位数，并深入学习偏度（Skewness）和箱线图（Box Plot），这有助于理解数据的形状和分布特征。 * **概率基础：** 建立对概率的基本理解，包括巴斯定理（Bayes' Theorem）的解释和应用。 * **概率分布：** 学习离散概率分布（二项分布 Binomial, 泊松分布 Poisson）和连续概率分布（正态分布 Normal Distribution），并配有详细的实例。 * **特定统计概念：** 了解比率（Rates）、比例（Ratio）、优势比（Odd Ratio）以及筛检测试（Screening Test）。 * **评估工具：** 深入理解筛检测试和混淆矩阵（Confusion Matrix）的概念，并通过实例进行说明。 **目标受众：** 本课程特别适合那些希望在数据科学和机器学习领域发展职业生涯的学生。通过本课程的学习，他们将为这些领域打下坚实的统计学基础。
· Students will gain knowledge about the basics of statistics· They will have clear understanding about different types of data with examples which is very important to understand data analysis· Students will be able to analyze, explain and interpret the data· They will understand the relationship and dependency by learning Pearson's correlation coefficient, scatter diagram and linear regression analysis between the variables and will be able to know make the prediction· Students will understand different method of data analyses such as measure of central tendency (mean, median, mode), measure of dispersion (variance, standard deviation, coefficient of variation), how to calculate quartiles, skewness and box plot· They will have clear understanding about the shape of data after learning skewness and box plot, which is an important part of data analysis · Students will have basic understanding of probability and how to explain and understand Bayes theorem with the simplest example· Students will have basic understanding of discrete probability distribution such as Binomial, Poisson and continuous probability distribution such as normal distribution with details example· They will come to know about rates, ratio, odd ratio and screening test· They will have clear knowledge about screening test and confusion matrix with details example· They will gain a clear idea about fundamental of statistics· Specially, who are interested to advance their carriers in data science and machine learning should complete the course
