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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pandas-tutorial/
课程评论：没有评论
课程名称：使用 Pandas 精通数据分析 课程概述： 数据分析在商业中至关重要，它可以帮助企业组织、解读、构建和呈现数据，从而提取有意义的见解，并据此做出重要的商业决策。通过恰当的数据分析，企业可以预测客户行为、市场趋势，降低运营成本，解决现有挑战，制定更优的商业计划，以及创新的销售和营销策略。 数据显示，数据分析师是到2022年最热门的职业之一。即使是机器学习工程师和数据科学家也需要掌握数据分析技能。数据是新的“石油”，需要经过处理。借助数据分析工具，可以轻松进行数据清洗、数据处理、数据规范化、数据检查、统计分析、数据填充等操作。 Pandas 是进行数据分析的强大库。本课程将教授如何快速、轻松地使用 Pandas 完成以下任务： * 从多个来源导入数据并将其转换为 DataFrame * 执行数据提取 * 进行统计分析 * 将 DataFrame 导出为不同文件格式 * 创建过滤器 * 进行数据检查、数据排序、数据可视化等 数据分析是一门应用科学，需要大量的实践。本课程将提供大量 Pythonic 风格的实操练习。期待在课堂上见到您！
Data analysis is a crucial thing in business to organize, interpret, structure and present the data to extract meaningful insights in order to take significant business decisions. With proper data analysis, organization could be able to Predict customer behaviorsMarket trendCut operational costs and resolve existing challengesBuild a better business plan, innovative sales and marketing strategies for the upcoming year and much more.As per well renowned report, Data Analyst is forecast to be one of the most in-demand jobs by 2022. Even machine learning engineer and data scientist too needs data analysis skill. Because Data is new oil and it need to be processed. With data analysis tools one can easily do data cleansing, data manipulation, data normalization, data inspection, statistical analysis, data fill and much more.Pandas is one of the powerful library to do data analysis. In this learning course you'll learn how to perform below mentioned tasks with Pandas in quick and easy way.Importing data from multiple sources and transforming into DataframePerforming data extraction Doing statistical analysisExporting dataframe into different file formats.Creating filtersDoing Data inspection, data sorting, data visualization and much more.Data analysis is an applied science, it requires lots of hands-on. In this course you'll get lots of lot pragmatic hands-on in pythonic style. See you in class!!
