Cloud Academy – Advanced Analysis with Power BI

使用 Power BI 进行高级分析检查了使用统计方法从数据中梳理出见解的各种方法，并以具有视觉吸引力的格式呈现重要发现。该课程从标准偏差等基本统计数据开始，然后进入 AI 和机器学习分析，其中 Power BI 进行所有繁重的照明，允许用户调查和动态探索重要发现。

学习目标
如何使用 Z 分数显示异常值并使用 Microsoft 的异常值检测可视化
如何使用 Power BI 的异常检测和波动分析功能
使用时间序列预测以不同程度的确定性预测未来数据点
使用组对分类进行分类数据和箱对连续数据进行分类
了解关键影响
者 使用分解树使用已知因素手动深入研究指标，或让 AI 功能确定哪些因素是主要贡献者
使用 Azure 的 AI 和机器学习的力量来分析文本是否有正面影响和负面情绪、关键字和短语以及图像标记

目标受众
本课程面向任何想要发现隐藏在其数据中的见解的人。

先决条件
对统计数据有基本的了解，例如了解均值和中位数之间的差异、正态分布，以及从概念上了解标准差如何与之相关
了解如何连接数据源、加载数据以及通常使用 Power BI Desktop 和Power Query 编辑器环境
AI Insights 演示需要 PowerBi.com 高级帐户

MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Difficulty: Intermediate | Genre: eLearning | Language: English + srt | Duration: 10 Lectures (1h 4m) | Size: 1.73 GB

Advanced Analysis with Power BI examines various methods for teasing out insights from data using statistical methodologies and presenting significant findings in visually compelling formats. The course starts with basic statistics such as standard deviation and then progresses to AI and machine learning analysis where Power BI does all the heavy lighting allowing the user to investigate and dynamically explore significant findings.

Learning Objectives
How to use Z-scores to display outliers and use the Outlier Detection visualization from Microsoft
How to use Power BI’s Anomaly Detection and Fluctuation Analysis functionality
Use time-series forecasting to predict future data points with varying degrees of certainty
Use groups to classify categorical data and bins to categorize continuous data
Learn about Key Influencers
Use the Decomposition tree to drill down into a metric manually using known factors or let AI functionality determine which factors are the major contributors
Use the power of Azure’s AI and machine learning to analyze text for positive and negative sentiment, keywords and phrases, and image tagging

Intended Audience
This course is intended for anyone who wants to discover insights hidden in their data.

Prerequisites
Have a basic understanding of statistics, like knowing the difference between a mean and median, a normal distribution, and conceptually how standard deviation is related to that
Know how to connect a data source, load data, and generally use the Power BI Desktop and Power Query Editor environments
AI Insights demonstration requires a PowerBi.com premium account