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所在平台: Udemy |
课程主页: https://www.udemy.com/course/power-bi-tutorial/
课程评论：没有评论
**Coursera课程总结：Power BI认证数据分析师培训** 本课程旨在教授Power BI这款强大的商业智能工具，使学员能够从各种数据源（如Excel、JSON、PDF等）提取、分析和可视化数据，生成有意义的报表、仪表板和图表，从而支持企业的决策制定。Microsoft于2011年推出Power BI，以帮助组织分析和可视化海量数据，并从中获得有价值的洞察。课程将重点讲解免费的Power BI Desktop版本。 **数据分析师的角色与任务：** 数据分析师在组织中扮演着至关重要的角色，他们负责理解数据、提取有价值的洞察，以追踪绩效并促进组织发展。数据分析过程主要包括： * **数据准备（Data Preparation）：** 包括数据分析、清洗和转换，将原始数据转化为易于理解的可用信息，修复错误、处理缺失值。 * **建模（Model）：** 建立数据表之间的关系，为后续分析奠定基础。 * **可视化（Visualize）：** 将数据以图表、报表等形式直观呈现，便于理解和决策。 * **分析（Analyse）：** 发现数据中的模式、洞察和趋势，预测未来结果，并通过解读报表中的信息辅助高级分析。 * **管理（Management）：** 负责Power BI中的报表、仪表板、语义模型等资产的管理，并监督报表的共享和分发。 **什么是商业智能（BI）？** 商业智能是指通过分析数据，并将其以直观的方式（如仪表板、图表、报表等）展现出来，帮助企业领导者追踪绩效、解决问题并应对市场变化。 **什么是Power BI？** Power BI是一个用于理解海量数据并构建报表的工具，它包含以下组件： * **Power Query：** ETL（提取、转换、加载）工具，用于清洗数据（去除空值、无效记录等），为可视化做准备。 * **Power Pivot：** 数据建模工具，用于连接多个数据源并创建数据表之间的关系。 * **Power Views：** 可创建200多种图表，实现数据可视化。 * **Power BI Service：** 允许用户与报表进行交互。 **Power BI的主要特性：** * **数据可视化：** 创建交互式报表和仪表板，提供丰富的可视化选项。 * **数据连接：** 支持连接Excel、数据库、云服务等多种数据源。 * **AI驱动分析：** 利用人工智能发现数据中的模式和洞察。 * **自定义可视化：** 可使用R和Python创建自定义可视化。 * **Power Query：** 简化数据源的获取和转换过程。 * **数据刷新：** 自动刷新数据，保证报表时效性。 * **移动应用：** 通过移动应用随时随地访问报表和仪表板。 * **Microsoft产品集成：** 与Excel、SharePoint、Azure等Microsoft产品无缝集成。 * **协作：** 支持实时报表共享和协作。 * **安全性：** 提供强大的安全功能，保障数据安全和合规性。 **课程内容概览（将使用免费版）：** * **Power BI - 概述与设置：** 介绍Power BI及其不同版本（Pro、Premium），以及在Windows 11上安装Power BI。 * **Power BI - 获取数据：** 学习如何从Excel获取数据。 * **Power BI - 可视化：** 学习创建仪表图（Gauge Chart）和柱形图（Column Chart）。 * **Power BI - 卡片（Cards）：** 学习创建、格式化和更新卡片。 * **Power BI - 表格（Tables）：** 学习创建、格式化表格，以及应用表格条件格式。 * **Power BI - 筛选器（Filters）：** 学习创建筛选器。 * **Power BI - 切片器（Slicers）：** 学习创建切片器、多选切片器值，并将图表与切片器关联。 * **Power BI - 数据转换：** 了解数据转换的概念，学习分组行、透视列和创建自定义列。 * **Power BI - 报表与仪表板：** 学习报表的概念，如何在Power BI Service中创建报表并发布，以及如何从报表中创建仪表板，并订阅报表。 **注意：** 课程中使用的所有Excel源文件均已上传至相应章节，学员可自由下载。
Welcome to the Power BI Certification.Power BI is a business intelligence tool that gets data from different sources, such as Excel, JSON, PDF, etc., and can be analyzed and converted to meaningful reports, dashboards, charts, etc. This assists in making business decisions by tracking performance.Microsoft developed Power BI in 2011 to analyze and visualize large amounts of data and generate meaningful insights helpful for organizations in scaling. The Power BI Desktop version is freely available, and in this tutorial, we will understand it thoroughly with examples.Data Analysts are hired mostly to work on such BI tools, therefore let us first understand the role of a data analyst in an organization.Tasks of a Data AnalystThe role of a Data Analyst is quite crucial for any organization. The Data Analyst understands the data and gets valuable insights from it that help track the performance and scale the organization. The data analysis process includes:Data Preparation: The first step is to prepare the data. It includes profiling, cleaning, and transforming the data. This makes the data ready. Data preparation takes the raw data and converts it into useful, easy-to-understand information. This process fixes the inaccurate data, identifies missing data, corrects the wrong data, etc.Model: The data gets ready to be modelled after the preparation step. This determines how the tables are related to each other by defining and creating relationships between them.Visualize: The graphics are easier to understand than the textual data, correct? The visualization steps bring data to life and represent it in the form of reports. This makes it quite easier to understand and make better decisions. This step designs and creates reports for accessibility.Analyse: Analysing the data helps in finding insights, identifying patterns, and predicting outcomes. Interpret the information displayed in the report with the analysis step. With advanced analytics, business decisions become easier with meaningful results.Management: If you are the Data Analyst of an organization, then you need to manage the reports, dashboards, semantic models, etc. of the Power BI. You need to supervise the sharing the distribution of reports and dashboards.What is BIBusiness intelligence, as the name suggests, involves analyzing data and displaying it in a way that speaks, i.e., in the form of dashboards, charts, reports, etc. This easy-to-understand data helps the founders track performance, resolve issues, and prepare for market changes.What is Power BIPower BI is a tool that helps people understand a large amount of data and build reports. PowerBI is a collection of components:· Power Query (ETL tool to extract transform, and load the data i.e., clean the data from null values, empty records, and unclean data for visualization)· Power Pivot (Data Modelling - connect data from multiple data sources and create relationships)· Power Views (Create 200+ charts i.e. visualization)· PowerBI Service (allows users to communicate with reports)Features of Power BIData Visualization: Create interactive reports and dashboards with a wide range of visualizations.Data Connectivity: Connect to various data sources like Excel, databases, and cloud services3.AI-Driven Analytics: Use AI to uncover patterns and insights in your data.Custom Visualizations: Create custom visualizations using R and Python.Power Query: Easily source and transform data.Data Refresh: Automatically refresh data to keep reports up-to-date.Mobile App: Access reports and dashboards on the go with the Power BI mobile app.Integration with Microsoft Products: Seamlessly integrate with other Microsoft products like Excel, SharePoint, and Azure.Collaboration: Share reports and collaborate with others in real time.Security: Robust security features to ensure data protection and compliance.Note: In this course, we will work on the free plan.The following lessons are covered in the Power BI tutorial:**Course Lessons**Power BI - Overview & Setup· Power BI - Introduction & Features· Power BI vs Power BI Pro vs Power BI Premium· Install Power BI on Windows 11Power BI - Get Data· Get Data from ExcelPower BI - Visualizations· Create a Gauge Chart· Create a Column ChartPower BI - Cards· Create a card· Format the cards· Update the cardsPower BI - Tables· Create a Table· Format the table· Table Conditional FormattingPower BI - Filters· Create a FilterPower BI - Slicer· Create a slicer· Select multiple values from a slicer· Set a chart with slicerPower BI - Data Transformation· What is Data Transformation· Group rows· Pivot columns· Create custom columnsPower BI - Reports and Dashboards· What is a Report in Power BI· Create a Report and Publish it in the Power BI Service Account· Create a Dashboard from Report in Power BI Service· Subscribe to ReportNote: All the excel source files used in the tutorial are uploaded in the respective lessons. Feel free to download them.Let us begin!
