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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-data-analyst-bootcamp/
课程评论：没有评论
课程名称：数据分析训练营：21个真实案例研究 课程概述：数据分析师的目标是利用技术发现数据如何回答问题和解决问题。许多人认为这将是未来的职业，并且在2020年，数据分析技能将成为求职者最重要的技能之一。过去二十年中，互联网和互联设备的普及使我们产生的数据量大幅增加，数据的可用性达到了前所未有的程度。获取、转化并从这些数据中提取有价值的见解，正迅速成为21世纪最重要且最受欢迎的技能。在本课程中，您将学习如何利用数据、分析、统计、概率和基本数据科学知识来提升您的职业生涯和日常生活。能够从数据中洞察本质并向他人解释，将使您在任何职业中都变得不可或缺。我们将探讨超过24个真实数据集，并展示如何获得有意义的见解。我们的学习路径涵盖了一系列现代工具，如Python、Google Colab和Google Data Studio，帮助您创建出色的仪表板，用数据和可视化讲述故事，进行预测，分析实验等。课程内容包括： - 数据分析的重要性 - Python基础课程 - 使用Pandas进行数据处理和整理 - 概率与统计 - 假设测试 - 数据可视化 - 地理空间数据可视化 - 数据讲故事 - Google Data Studio仪表板设计完整课程 - 机器学习——监督学习 - 机器学习——非监督学习（聚类） - 实用分析案例研究 - Google Data Studio仪表板与可视化项目：执行销售仪表板 - Python、Pandas与数据分析和数据科学案例研究，如： - 医疗保健分析与糖尿病预测 - 非洲经济、银行与系统危机数据 - 选举民调分析 - 印度选举2009 vs 2014 - 供应链运输数据分析 - 布伦特原油价格分析 - 奥运会分析——最伟大的奥运选手 - 篮球和足球中的主场优势分析 - IPL板球数据分析 - 预测足球世界杯 - 披萨餐厅分析 - 酒吧和酒馆分析 - 零售产品销售分析 - 客户聚类 - 市场分析——广告效果的驱动因素 - 文本分析——航空公司推文（词汇聚类） - 客户生命周期价值 - 时间序列预测——需求/销售预测 - Airbnb悉尼探索性数据分析 - A/B测试 通过此课程，您将获得综合的数据分析技能，帮助您在职场中脱颖而出。
Data Analysts aim to discover how data can be used to answer questions and solve problems through the use of technology. Many believe this will be the job of the future and be the single most important skill a job application can have in 2020. In the last two decades, the pervasiveness of the internet and interconnected devices has exponentially increased the data we produce. The amount of data available to us is Overwhelming and Unprecedented. Obtaining, transforming and gaining valuable insights from this data is fast becoming the most valuable and in-demand skill in the 21st century. In this course, you'll learn how to use Data, Analytics, Statistics, Probability, and basic Data Science to give an edge in your career and everyday life. Being able to see through the noise within data, and explain it to others will make you invaluable in any career. We will examine over 2 dozen real-world data sets and show how to obtain meaningful insights. We will take you on one of the most up-to-date and comprehensive learning paths using modern-day tools like Python, Google Colab and Google Data Studio. You'll learn how to create awesome Dashboards, tell stories with Data and Visualizations, make Predictions, Analyze experiments and more!Our learning path to becoming a fully-fledged Data Analyst includes:The Importance of Data AnalyticsPython Crash Course Data Manipulations and Wrangling with PandasProbability and StatisticsHypothesis TestingData VisualizationGeospatial Data Visualization Story Telling with DataGoogle Data Studio Dashboard Design - Complete CourseMachine Learning - Supervised LearningMachine Learning - Unsupervised Learning (Clustering)Practical Analytical Case StudiesGoogle Data Studio Dashboard & Visualization Project: Executive Sales Dashboard (Google Data Studio)Python, Pandas & Data Analytics and Data Science Case Studies:Health Care Analytics & Diabetes PredictionAfrica Economic, Banking & Systematic Crisis DataElection Poll AnalyticsIndian Election 2009 vs 2014Supply-Chain for Shipping Data AnalyticsBrent Oil Prices AnalyticsOlympics Analysis - The Greatest OlympiansHome Advantage Analysis in Basketball and SoccerIPL Cricket Data AnalyticsPredicting the Soccer World CupPizza Resturant AnalyticsBar and Pub AnalyticsRetail Product Sales AnalyticsCustomer ClusteringMarketing Analytics - What Drives Ad PerformanceText Analytics - Airline Tweets (Word Clusters)Customer Lifetime ValuesTime Series Forecasting - Demand/Sales ForecastAirbnb Sydney Exploratory Data AnalysisA/B Testing
