The Comprehensive Data Analyst Course.

所在平台: Udemy

课程主页: https://www.udemy.com/course/the-comprehensive-data-analyst-course/

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Comprehensive Data Analyst Course (Coursera 课程总结) 本课程旨在通过生动有趣的讲解,帮助学习者轻松掌握数据分析的核心知识。课程包含超过100节课,20多小时的高质量视频和文字解释,内容涵盖: * **Python 基础:** Python基础语法,数据结构(列表、元组、集合、字典),字符串操作。 * **Pandas 和 Numpy:** 强大的数据处理和分析库。 * **线性代数:** 点、直线方程、向量及其运算、矩阵及其运算。 * **数据类型:** 随机变量、离散、连续、分类、数值、名义、顺序、定性、定量数据类型。 * **数据可视化:** 条形图、饼图、直方图、箱线图等。 * **数据分析:** 均值、中位数、众数、IQR、箱线图解析。 * **数据分布:** 标准差、方差、变异系数、协方差、正态分布、z-score。 * **多种分布:** 均匀分布、对数正态分布、帕累托分布、正态分布、二项分布、伯努利分布。 * **卡方分布与拟合优度检验。** * **中心极限定理。** * **假设检验:** 推断统计、显著性水平、检验统计量、p值。 * **概率:** 并集与交集、独立与相关事件、贝叶斯定理、全概率公式。 * **排列与组合:** 包含具体示例。 * **期望值。** * **Donors Choose 案例研究。** 课程特色: * **循序渐进:** 从基础概念入手,建立直观理解。 * **丰富案例:** 通过大量真实生活示例巩固概念。 * **实操演练:** 提供详细的例题解析,展示不同解题思路。 * **逻辑连贯:** 知识点层层递进,构建系统性学习。 * **终身访问权限。** * **Q&A 区友好支持。** * **可下载的 Udemy 结业证书。** * **30天退款保证。** 立即报名,开启您的数据分析学习之旅!

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THE COMPREHENSIVE DATA ANALYST COURSE IS SET UP TO MAKE LEARNING FUN AND EASYThis 100+ lesson course includes 20+ hours of high-quality video and text explanations of everything from Linear Algebra, Probability, Statistics, Permutation and Combination. Topic is organized into the following sections:Python Basics, Data Structures - List, Tuple, Set, Dictionary, StringsPandas and Numpy.Linear Algebra - Understanding what is a point and equation of a line. What is a Vector and Vector operationsWhat is a Matrix and Matrix operationsData Type - Random variable, discrete, continuous, categorical, numerical, nominal, ordinal, qualitative and quantitative data typesVisualizing data, including bar graphs, pie charts, histograms, and box plotsAnalyzing data, including mean, median, and mode, IQR and box-and-whisker plotsData distributions, including standard deviation, variance, coefficient of variation, Covariance and Normal distributions and z-scores.Different types of distributions - Uniform, Log Normal, Pareto, Normal, Binomial, BernoulliChi Square distribution and Goodness of FitCentral Limit TheoremHypothesis TestingProbability, including union vs. intersection and independent and dependent events and Bayes' theorem, Total Law of ProbabilityHypothesis testing, including inferential statistics, significance levels, test statistics, and p-values.Permutation with examplesCombination with examplesExpected ValueDonors Choose case study.AND HERE'S WHAT YOU GET INSIDE OF EVERY SECTION:We will start with basics and understand the intuition behind each topic.Video lecture explaining the concept with many real-life examples so that the concept is drilled in.Walkthrough of worked out examples to see different ways of asking question and solving them.Logically connected concepts which slowly builds up. Enroll today! Can't wait to see you guys on the other side and go through this carefully crafted course which will be fun and easy.YOU'LL ALSO GET:Lifetime access to the courseFriendly support in the Q & A sectionUdemy Certificate of Completion available for download30-day money back guarantee

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