LiveLessons – Predictive Analytics, 2nd Edition

本课程旨在为预测分析带来全面、平易近人且以最佳实践为导向的学习体验。

概述

更新和改进的预测分析，第 2 版，提供了对业务分析概念、应用程序、方法和工具的全面（但易于理解）覆盖，特别强调预测建模和分析。在八节课中，您将学习商业分析和数据挖掘的基本概念、方法和算法，以及它们的应用领域和最佳实践。您还将学习如何使用各种软件工具（商业以及免费/开源）以及如何使用这些工具从各种数据源中发现知识。

在课程结束时，您不仅会了解预测分析是什么以及它可以为组织做什么，而且还会发展使用众多工具和平台来练习预测分析的基本技能，其中大部分工具和平台都是免费和开源的。本课程旨在全面介绍预测分析的基本概念和定义，以揭开这些流行的基于证据的管理决策趋势的概念和术语的神秘面纱，然后帮助培养使用最流行的分析工具和平台的实践技能使用直观的示例和数据集。

课程描述

第 1 课：预测分析
简介第 2 课：预测分析和数据挖掘简介
第 3 课：数据挖掘过程
第 4 课：数据挖掘中的数据和方法
第 5 课：数据挖掘算法
第 6 课：文本分析和文本挖掘
课程7：大数据分析
第 8 课：预测分析最佳实践

技能水平

参加本课程没有要求的最低技能或知识水平。由于其全面的覆盖面，该课程吸引了任何有兴趣了解预测分析及其价值主张的技术或管理技能水平的任何人（学生和专业人士）。

学习
方法 该课程提供了全面且易于理解的预测分析概念、理论和最佳实践的覆盖范围，然后是使用各种数据集和行业领先软件的可视化、直观和高度实用的动手说明性示例工具和平台。

谁应该参加本课程
本课程专为有兴趣了解预测分析的最佳实践的任何人设计，以及任何希望以最少的时间和资源投入快速进入这一流行技术的实际应用的人。

课程要求
本课程没有特定的先决条件或必备要求。它旨在吸引任何有兴趣学习预测分析的任何技能和管理级别的人并从中受益。

Duration: 8h 52m | Video: 1280×720 30fps | Audio: AAC, 48 kHz, 2ch | Size: 1.82 GB
Genre: eLearning | Language: English

This course is designed to bring a holistic, approachable, and best-practice-driven learning experience to predictive analytics.

Overview
Updated and revamped, Predictive Analytics, 2nd Edition, provides comprehensive (yet easy-to-digest) coverage of business analytics concepts, applications, methods, and tools, with a special emphasis on predictive modeling and analysis. Over the course of the eight lessons, you will learn fundamental concepts, methods, and algorithms of business analytics and data mining, as well as their application areas and best practices. You also learn how to use a variety of software tools (both commercial as well as free/open source) and how to use those tools to discover knowledge from a wide variety of data sources.

At the end of the course, you will not only know what predictive analytics is and what it can do for an organization but also develop basic skills to practice predictive analytics using numerous tools and platforms, most of which are free and open source. The course is designed to provide thorough coverage of the underlying concepts and definitions of predictive analytics in order to demystify the concepts and terminology of these popular evidence-based managerial decisioning trends and then help build hands-on skills with the most popular analytics tools and platforms using intuitive examples and data sets.

Lesson Descriptions
Lesson 1: Introduction to Predictive Analytics
Lesson 2: Introduction to Predictive Analytics and Data Mining
Lesson 3: The Data Mining Process
Lesson 4: Data and Methods in Data Mining
Lesson 5: Data Mining Algorithms
Lesson 6: Text Analytics and Text Mining
Lesson 7: Big Data Analytics
Lesson 8: Predictive Analytics Best Practices
Skill Level
There is not a required minimum skill or knowledge level to take this course. Because of its holistic coverage, the course appeals to anyone (students and professionals) at any level of technical or managerial skill levels who is interested in learning about predictive analytics and its value propositions.

Learn How To
The course provides thorough yet easy-to-digest coverage of predictive analytics concepts, theories, and best practices, followed by visual, intuitive, and highly practical hands-on illustrative examples using a variety of data sets and industry-leading software tools and platforms.

Who Should Take This Course
This course is designed for anyone who is interested in learning about the best practices of predictive analytics and anyone who seeks to rapidly move into practical application of this popular technology with a minimal investment of time and resources.

Course Requirements
There are no specific prerequisites or must-have requirements for this course. It is designed to attract and benefit anyone at any skill and managerial level who is interested in learning predictive analytics.