|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics-applied-mathematics-class-11-college-math/
课程评论：没有评论
课程名称：机器学习与人工智能的基本统计学 课程概述：本课程将帮助您掌握机器学习与人工智能所需的基本统计学知识，让您在成绩上看到惊人的变化。统计学是数学的一个分支，专注于数据的收集、整理、表示和解释。课程内容涵盖数据的图形表示、集中趋势的度量（均值、中位数和众数）以及离散程度的度量（均方差和标准差）。 您将学习如何使用图表和图形轻松理解统计数据，包括饼图、条形图、直方图和频率多边形，以及如何绘制和解释这些图表，这些技能在定量能力测试中至关重要。 具体内容包括： - 如何绘制饼图并根据其回答相关问题 - 如何绘制条形图并解释数据 - 如何绘制直方图和频率多边形，并利用这些工具进行数据分析 - 中心趋势的概念及其测量方法，包括均值、中位数和众数的计算，包括按组和不按组数据的计算方法 - 如何使用直接法、简便法和步进偏差法计算算术均值 - 四分位数的介绍及其计算方法 - 离散和连续频率分布的均方差和标准差计算 - 三种计算标准差的方法 - 回归分析入门，包括因变量和自变量的定义，散点图和基本回归公式 - 相关分析的基础知识及其计算方法 - 数据可视化技能，包括解释条形图、折线图等。 本课程将为您提供在统计学上成功所需的基本技能与知识，助您在数据分析领域更进一步。
This Course on Statistics will help you with all the basic knowledge of Statistics that you need to know. You will see Surprising Results in your scores. What is Statistics?Statistics is a branch of Mathematics dealing with the collection, organisation ,representation and interpretation of data.This course deals with the graphical representation of data, measures of Central tendency: Mean ,Median and Mode and Measures of Dispersion: Mean Deviation and Standard Deviation.Statistical data can be easily understood if we represent it in the form of Charts and graphs. Here, you will study the following types of graphs: Pie Charts, Bar graphs, Histograms, Frequency Polygons. You will learn how to draw these graphs and interpret them. These form an integral part of quantitative aptitude tests.You will learn how to draw a Pie Chart. Given a pie chart you will answer questions based on it.How to draw a bar graph to represent data is shown. You are taught how to interpret the data.You will also learn how to draw a Histogram and Frequency Polygon and use these in analysing data.Statistical data has the tendency to cluster around a central value. This is called Central tendency. The different ways of measuring Central tendency are Mean, Median and Mode. You will learn how to calculate these for grouped and ungrouped data, Problems of the type given below are discussed:Learn the three types of methods for calculating arithmetic mean, namely, direct method, shortcut method and step deviation method.Find the mean for a frequency distribution having class intervals using the Shortcut Method. You are introduced to Quartiles and how to calculate them using the formula. A few of the problems include:How to calculate the mode for a given data.In order to interpret the data, you should know how data is spread around a central value. This leads to measures of dispersion, namely mean deviation and standard deviation.You will learn about Mean Deviation about the mean and mean deviation about the median for discrete and continuous frequency distributions. You move on to learning variance and standard deviation. Three methods of calculating the standard deviation are discussed. These include the Direct method, Shortcut method and Step Deviation method.Learn the basics of Regression Analysis. You'll learn about dependent and independent variables, scatter diagrams and basic formulas of regression.You'll be introduced to Correlation Analysis and how to calculate it. Learn Essential Data Visualization Skills-Interpreting Bar Graphs, Line Graphs and more.
