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所在平台: Udemy |
课程主页: https://www.udemy.com/course/certified-analytics-professional-cap-exam-prep-course/
课程评论：没有评论
课程名称：认证分析专业人士（CAP）考试准备课程 课程概述： 认证分析专业人士（CAP）认证是一项全球认可的证书，旨在验证分析领域的专业技能。此课程旨在帮助学员掌握通过CAP考试所需的核心主题和技能。学员将深入了解业务问题框架、分析问题解决、数据科学及数据可视化的重要性。无论是希望成为数据科学家、分析专业人士，还是希望通过CAP认证来提升职业发展的人员，此课程提供结构化学习以助您成功。 课程内容： 第一部分：CAP考试介绍 课程开篇介绍CAP认证，讲述获得该证书对分析专业人士的好处。深入了解CAP认证过程以及其在不同行业中的相关性，并了解它如何成为分析技能的基准。 第二部分：目标理解 这一部分重点讲解CAP考试的关键目标及其各自权重。课程涵盖业务问题框架、分析问题框架和解决业务挑战的方法论，并探讨“知识陈述”的概念及有效演示技巧，帮助学员理解考试评估者的关注点。 第三部分：业务问题识别 此部分专注于识别业务问题和进行利益相关者分析的关键任务。学员将学习如何完善问题陈述以及与利益相关者达成初步业务利益的共识，以确保在进行分析解决方案前能够明确界定问题。 第四部分：业务问题框架进一步阅读 在这一部分，学员将学习如何撰写有效的问题陈述，强调问题解决技巧、定义问题的过程及重新框架问题的影响力。提供问题框架的相关问题，为分析工作打下基础。 第五部分：分析问题 这一部分深入分析问题框架的过程，并介绍Kano的需求模型等框架。学员将探讨关键成功指标，如何提出驱动因素和输入之间的关系，以及成功分析问题框架的核心原则。 第六部分：认证分析师专业培训 - 数据科学 数据科学在CAP认证中扮演着重要角色。本部分覆盖数据科学基础知识，探索商业智能（BI）与数据科学之间的差异。学员将学习获取和准备数据的逐步流程，分析数据及将数据转化为可操作洞察，讨论特征工程、降维和模型验证等关键概念。 第七部分：认证分析师专业培训 - CAP考试的五个E 这一部分介绍CAP考试的五个E，强调通过考试所需的关键技能和软技能。学员将学习如何澄清分析过程，理解CAP特定术语，应用回归、预测和处方分析。通过实例展示这些技能的实际应用。 第八部分：数据可视化 - CAP认证 本部分探讨数据可视化在呈现分析结果中的重要性。学员将学习常见的数据可视化技术，如决策树和热力图，以及如何通过数据讲故事有效沟通数据洞察。还讨论数据质量、数据清洗和数据集市的构建，提供创建有意义、准确的可视化表示的工具。 第九部分：分析方法论与测试分析模型 最后一部分关注不同的分析方法论及如何验证分析模型。学员将学习预测方法、模拟技术以及软件工具选择。这一部分确保学员能够在实际环境中测试、调整和实施分析模型。 结论： 完成本课程后，学员将对CAP考试所需的关键组成部分有扎实的理解。学员将精通业务和分析问题的框架、应用数据科学技术、利用数据可视化工具以及验证分析模型。这项全面的培训将为您成为认证分析专业人士提供必要的技能支持。
Introduction:The Certified Analytics Professional (CAP) certification is a globally recognized credential that validates your expertise in analytics. This course is designed to help you master the essential topics and skills needed to excel in the CAP exam. You will gain insights into business problem framing, analytical problem-solving, data science, and the importance of data visualization. Whether you are an aspiring data scientist, an analytics professional, or someone aiming to advance their career with a CAP certification, this course offers structured learning to help you succeed.Section 1: Introduction to CAP ExamsThe course begins with an introduction to the CAP certification, outlining the benefits of earning this credential for analytics professionals. You'll gain a deep understanding of the CAP certification process and how it can boost your career. Additionally, you'll learn the relevance of the certification across different industries and how it serves as a benchmark for analytic skills.Section 2: Understanding ObjectivesIn this section, you will dive into the key objectives of the CAP exam and their respective weightages. Lectures cover topics such as business problem framing, analytical problem framing, and the methodological approach to solving business challenges. The concept of "knowledge statements" and effective presentation techniques will also be explored, helping you understand what the exam evaluators are looking for.Section 3: Understanding Business Problem IdentificationThis section focuses on the critical task of identifying business problems and conducting stakeholder analysis. You'll learn how to refine problem statements and agree on initial business benefits with stakeholders. The goal is to ensure that you can clearly define problems before jumping into analytical solutions.Section 4: Further Reading on Business Problem FramingHere, you will be guided through the process of writing effective problem statements. This section emphasizes problem-solving techniques, the process of defining a problem, and the powerful impact of re-framing problems. You'll be equipped with questions to frame business problems more effectively, setting the stage for impactful analytical work.Section 5: Analytical ProblemThis section delves into the process of analytical problem framing and introduces you to frameworks such as Kano's Requirement Model. You'll explore key success metrics, how to propose drivers and relationships between inputs, and understand the core principles that guide successful analytics problem framing.Section 6: Certified Analyst Professional Training - Data ScienceData science plays a crucial role in CAP certification. This section covers data science fundamentals and explores the differences between business intelligence (BI) and data science. You'll learn the step-by-step process of acquiring and preparing data, analyzing it, and transforming data into actionable insights. Key concepts like feature engineering, dimensionality reduction, and model validation are also discussed.Section 7: Certified Analyst Professional Training - Five E's of CAP ExamThis section introduces the Five E's of the CAP exam, focusing on the key skills and soft skills required to pass the exam. You'll learn how to clarify the analytical process, understand CAP-specific terminology, and apply regression, predictive, and prescriptive analytics. Real-world examples will demonstrate the practical applications of these skills.Section 8: Data Visualization - CAP CertificationIn this section, you'll explore the importance of data visualization in presenting analytics results. Learn common data visualization techniques such as decision trees and heat maps, and how to effectively communicate data insights through data storytelling. Data quality, cleaning, and building a data mart are also discussed, providing you with the tools to create meaningful, accurate visual representations.Section 9: Analytics Methodology and Test Analytics ModelThe final section focuses on different analytics methodologies and how to validate analytics models. You'll learn about predictive methodologies, simulation techniques, and software tool selection. This section ensures you are prepared to test, refine, and implement analytics models in a real-world context.Conclusion:By the end of this course, you will have a solid understanding of the key components required to excel in the CAP exam. You will be proficient in framing business and analytical problems, applying data science techniques, utilizing data visualization tools, and validating analytics models. This comprehensive training will equip you with the skills necessary to become a Certified Analytics Professional.
