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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-and-analytics-with-aws-quicksight-and-power-bi/
课程评论：没有评论
课程名称：使用AWS Quicksight和Power BI进行数据科学与分析 课程概述：在互联网时代，数据科学已成为一种备受推崇的技能。我们的数字活动，如搜索、观看视频、购物和学习等，每时每刻都在生成原始数据。此外，街道摄像头、动物、物联网设备等无数其他来源也在不断贡献这堆庞大的信息。正如某人所说，数据是新的石油。为了从数据集中提取有意义的见解，从而推动商业决策和其他行动，我们需要一定的工具和技术来执行各种操作。 Microsoft Power BI 是一个流行的工具，可以用于对数据集执行广泛的操作。它能帮助用户创建出色的可视化图表和商业智能报告，从而发掘数据集中的关键信息。在本课程中，您将学习如何创建各种可视化图表并进行自定义，内容包括： - 创建条形图、折线图和饼图 - 环形图或甜甜圈图 - 使用树图进行深入分析和图表分析 - 表格和矩阵 - 蕾丝和瀑布图 掌握 Power BI 后，您还可以在云计算平台如 AWS（亚马逊网络服务）上对相似数据集进行各种操作，使用 AWS Quicksight 商业智能和数据分析工具。您将学习数据准备、数据清理、数据可视化和数据分析，具体包括： - 在数据准备中学习编辑数据集以创建图表或清理数据，通过移除不需要的字段或行 - 创建自定义列的计算字段 - 使用过滤器根据特定条件聚合字段，以及使用排除列表来舍弃某些列 接下来，您将学习创建一些可视化图表并分析，内容包括基本图表如条形图、树图、数据透视表、地图图表和条件格式化。 通过本课程，您将掌握利用现代数据工具进行有效数据科学和分析的技能，为您的职业发展打下坚实基础。
Data Science has been one of the most demanded skillset that has been well reputed in this Internet age. Every moment, we are creating raw data by all our digital activities- from searching to streaming, shopping to learning and everything else. Not just humans, but street cameras, animals, IoT devices and countless other sources are also contributing to this massive pile of information. As someone said it correctly- Data is the new Oil. In order to find meaningful insights from a dataset that can drive business decisions and other actions we need certain tools and techniques where we can perform various operations on the dataset.Microsoft Power BI is one of the popular tool that can be used to perform wide range of operations on a dataset. It can be used for creating some amazing Visualization charts and BI report that can be used to find critical insights from the dataset. In this course, you will learn to create a variety of visual charts and ways to customize them. You will learn to create-Bar, Line and Pie chartsDonut or Ring chartDrill down and Analysis of charts using TreemapTable and MatrixRibbon and Waterfall chartsAfter you have learned Power BI, you can perform various operations on the similar dataset on the Cloud computing platforms such as AWS (Amazon Web Services) using AWS Quicksight Business Intelligence and Data Analysis tool. You will learn about Data Preparations, Data Cleaning, Data Visualization and Data Analysis-In Data Preparation, you will learn to-Edit Dataset before creating charts or Data Cleaning by removing unwanted fields or rows from the datasetCreate Calculated fields for custom columnsUsing filters to aggregate fields based on certain criteria and Using Excluded lists to discard certain columnsAfter that you will learn to create some visualization charts and analyze them such as-Basic charts such as bar, treemapPivot tableMap chart and conditional formatting
