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所在平台: Udemy |
课程主页: https://www.udemy.com/course/business-analytics-using-data-science/
课程评论：没有评论
课程名称：使用数据科学进行商业分析 课程概述： 在本课程中，您将学习如何提升您的商业分析技能，无论您是初出茅庐的商业分析师、经验丰富的商业仪表板设计师、志向远大的商业经理，还是刚起步的商业可视化专家。本课程为您提供了提高商业分析有效性、商业仪表板设计、绩效指标和用户开发的宝贵机会，从而在组织中产生积极而持久的影响。 课程学习内容： - 了解商业分析的基本功能和技能。 - 转化目标，概述、定义和商业分析范畴，利益相关者与商业分析的关系及其目标。 - 获取详细商业分析和商业仪表板报告的推荐模板和格式。 - 探索商业分析评估、了解各种商业分析技巧，以及如何有效地呈现发现。 课程框架： 本课程通过引人入胜的视频教程、案例研究、分析、可下载资源及互动练习，全面涵盖商业分析的目标、概述、定义和种类，商业仪表板设计中关键利益相关者的角色和职责，以及商业数据准备、绩效指标和用户参与的基础概念。 课程分为三个部分： 第一部分： 学习商业分析的目标、概述和类别，商业仪表板设计的关键利益相关者的角色和职责，以及商业数据准备和用户参与的基础原则。 第二部分： 发展商业数据准备和商业仪表板设计的知识，了解商业仪表板中的各种角色和职责、用户绩效指标及评估商业仪表板有效性和用户参与的方法。 第三部分： 学习实施高级商业可视化实践，包括设计有效的绩效指标系统、发展用户参与和商业仪表板发展的策略，以及理解绩效指标技术的局限性。 课程内容还包括多个案例研究、模板、格式、工作表、阅读材料、测验、自我评估和作业，以加深对关键商业分析概念的理解。 通过参加本课程，您将投资于自身的职业发展，提升您的商业分析能力，长期受益。
DescriptionTake the next step in your career! Whether you're an up-and-coming business analyst, an experienced business dashboard designer, an aspiring business manager, or a budding business visualization expert, this course is an opportunity to sharpen your business analysis skills, increase your effectiveness in business dashboard design, performance metrics, and user development, and make a positive and lasting impact in your organization.With this course as your guide, you learn how to:● All the fundamental functions and skills required for effective business analysis practice.● Transform Goals, Overview, Definition, and Categories of Business Analysis, Stakeholders Interested in Business Analysis, and Goals of Business Analysis.● Get access to recommended templates and formats for detailed business analysis and business dashboard reporting.● Explore business analysis assessments, understanding various business analysis techniques, and how to present findings effectively with useful templates and frameworks.● Invest in yourself today by enhancing your skills in business analysis, and reap the benefits for years to come.The Frameworks of the Course● Engaging video tutorials, case studies, analyses, downloadable resources, and interactive exercises. This course is designed to cover the Goals, Overview, Definition, and Categories of business analysis, the roles and responsibilities of key stakeholders in business dashboard design, and foundational concepts in business data preparation, performance metrics, and user engagement.● The core concepts of business visualization, including understanding business data preparation (dashboard requirements), the performance metrics process, the presentation of business dashboard roles and responsibilities, user engagement strategies, and methods for assessing business dashboard effectiveness. Preparing and implementing strategies for performance metrics and user development, including techniques for evaluating and enhancing dashboard roles and organizational effectiveness.● The course includes multiple case studies, resources such as templates, formats, worksheets, reading materials, quizzes, self-assessments, and assignments to enhance and deepen your understanding of key business analysis concepts, including business data preparation, performance metrics, user engagement, and business dashboard behavior.In the first part of the course, you'll learn the details of the Goals, Overview, Definition, and Categories of business analysis, the roles and responsibilities of key stakeholders in business dashboard design, and foundational principles in business data preparation, performance metrics, and user engagement. Part 1 covers the basics of designing effective business dashboard elements, enhancing user performance, and implementing performance metrics systems.In the middle part of the course, you'll develop knowledge of business data preparation and business dashboard design, understanding various roles and responsibilities within a business dashboard, user performance metrics, methods for assessing business dashboard effectiveness and user engagement, and techniques for implementing effective performance metrics systems. You'll also explore practical strategies for enhancing business dashboard effectiveness and user development.In the final part of the course, you'll develop knowledge in implementing advanced business visualization practices, including designing effective performance metrics systems, developing strategies for user engagement and business dashboard development, and understanding the limitations of performance metrics techniques. You will receive full support, and all your queries will be answered within 48 hours.Course Content:Part 1Introduction and Study Plan● Introduction and know your Instructor● Study Plan and Structure of the Course1. Introduction to Programming Language● Introduction to Programming Language● Common Application● Data Cleaning● Getting Started● Key Packages and Tools● Building a Predictive Model● Key Concepts● Steps in Statistical Analysis● Regression Analysis● Visualizing Data● Getting Started2. Basic Syntax and Data Types● Basic Syntax and Data Types● List, Tuples and Dictionaries● Module and Libraries● Matplotlib● Business Analytics with Python3. Data Visualization With Python and Tableau● Data Visualization With Python and Tableau● Seaborn● Data Visualization With Tableau● Integrating Python with Tableau4. Analytics Foundation Using statistical Methods● Analytics Foundation Using statistical Methods● Hypothesis Testing● Logistics Regression5. Business Decision making using statistics● Business Decision making using statistics● Exam Workflow● Descriptive Statistical Example● Regression Analysis Example● Business Analysis Planning and Monitoring● Planning Business Analysis Communication6. Strategy Analysis● Strategy Analysis● Developing a Change Strategy● Tools and Techniques7. Business Intelligence● Business Intelligence● BI tools and Technologies8. Business Process● Business Process● Process Design● Process Automation● Process Monitoring and control9. Excel and Advanced Excel● Excel and Advanced Excel● Example Conditional Formatting● Example Power Query10. Project● Project● Data Exploration and Analysis● Data Visualization● Interpret Results● Communicate Findings● Implement and Monitor● Learning ResourcesPart 21.Assignment: Data Collection and Management2.Project:Enhancing Data Collection and Management for Improved Business Analytics3.Assignment: Predictive Analytics4.Project: Implementing Predictive Analytics to Optimize Customer Churn Prediction
