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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analyst-business-intelligence-pythonbitableausql/
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课程名称：数据分析师商业智能：Python, BI, Tableau, SQL 概述：数据分析是一种检查、清理、转化和建模数据的过程，旨在发现有用的信息、推理结论并支持决策。数据分析师通过收集、清理和研究数据集来帮助解决问题。数据分析的过程包括对数据集进行检查，以提取出一般用户可能看不到的信息，并得出关于这些信息影响的结论。数据分析的应用广泛，涵盖商业、金融、刑事司法、科学、医学和政府等多个领域。 数据分析的过程通常经过五个迭代阶段：识别要分析的数据、收集数据、清理数据以便进行分析、分析数据以及解释分析结果。数据分析可以采取不同的形式，具体取决于所要回答的问题。简而言之，描述性分析告诉我们发生了什么，诊断性分析则解释了发生的原因，预测分析对未来进行预测，而规范性分析则提供可行的建议以采取行动。 商业智能（BI）结合了商业分析、数据挖掘、数据可视化、数据工具和基础设施以及最佳实践，帮助组织做出更为数据驱动的决策。现代商业智能的标志在于对组织数据的全面视图，并利用这些数据推动变革、消除低效并快速适应市场或供应的变化。商业智能包括企业用于数据分析和管理商业信息的策略和技术。这门课程将为您提供成为数据分析师的基础知识与技能。
Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. A data analyst gathers, cleans, and studies data sets to help solve problems. Here's how you can start on a path to become one.Data analytics is the process of examining data sets to extract information that may be hidden from the casual user and draw conclusions about the impact of that information. Data analytics can range from the simplest of business intelligence, to online analytical processing, all the way up to very advanced analytics.A data analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem. They can work in many industries, including business, finance, criminal justice, science, medicine, and government.Data analysis is the process of gleaning insights from data to help inform better business decisions. The process of analysing data typically moves through five iterative phases:Identify the data you want to analyseCollect the dataClean the data in preparation for analysisAnalyse the dataInterpret the results of the analysisData analysis can take different forms, depending on the question you're trying to answer. Briefly, descriptive analysis tells us what happened, diagnostic analysis tells us why it happened, predictive analytics forms projections about the future, and prescriptive analysis creates actionable advice on what actions to take.Business intelligence (BI) combines business analytics, data mining, data visualisation, data tools and infrastructure, and best practices to help organisations to make more data-driven decisions. In practice, you know you've got modern business intelligence when you have a comprehensive view of your organisation's data and use that data to drive change, eliminate inefficiencies and quickly adapt to market or supply changes. Business intelligence comprises the strategies and technologies used by enterprises for the data analysis and management of business information.
