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所在平台: Udemy |
课程主页: https://www.udemy.com/course/certification-in-key-business-analytics-and-data-analytics/
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课程名称：关键业务分析与数据分析认证 课程概述： 这门课程旨在帮助您在职业生涯中迈出重要一步，无论您是初出茅庐的专业人士、经验丰富的高管、渴望成为经理的人，还是有潜力的专业人士。这是一个提升您情感分析、图像分析、视频分析、语音分析及蒙特卡洛模拟等技能的机会，帮助您提高工作效率，实现职业成长，并在商务或组织中产生积极而持久的影响。 通过本课程，您将学习到： - 关键业务分析所需的基本功能和技能。 - 如何将原材料数据转化为关键业务分析。 - 业务实验、实验设计和AB测试的基本原则。 - 视觉分析、相关分析、情景分析和时间预测等技术。 - 数据挖掘、回归分析、文本分析和情感分析等方法。 - 获取推荐的关键业务分析相关模板和格式。 课程框架： 本课程包括生动的视频讲座、案例研究、评估、可下载资源和互动练习，帮助您掌握关键业务分析的介绍，包括原材料数据的使用。课程分为三个部分： 第一部分： - 关键业务分析基础，包括数据的概念、类型及格式，以及如何使用这些数据。 - 业务实验和AB测试的设计和实施。 第二部分： - 财务分析、客户盈利分析、产品盈利能力、现金流分析以及市场分析等数据类型和工具的深入学习。 第三部分： - 竞争对手分析、定价分析、市场渠道和品牌分析等内容，将帮助您从各个方面理解客户分析。 课程内容丰富，提供多个案例研究、资源、测验、自我评估和作业，旨在全面提高您的分析能力。通过这门课程，您将掌握关键业务分析的全面知识，为未来的职业发展奠定坚实基础。投资自己，您将在未来获得丰厚的回报。
DescriptionTake the next step in your career! Whether you're an up-and-coming professional, an experienced executive, aspiring manager, budding Professional. This course is an opportunity to sharpen your Sentiment analysis. Image Analytics. Video analytics. Voice analytics. Monte Carlo simulations., increase your efficiency for professional growth and make a positive and lasting impact in the business or organization.With this course as your guide, you learn how to:All the basic functions and skills required key business analytics.Transform the Key Business Analytics including the raw material - data. Business experiments/experimental design/AB testing. Visual analytics. Correlation analysis. Scenario analysis. Forecasting or Time. Data mining. Regression analysis. Text analytics. Text analytics.Get access to recommended templates and formats for the detail's information related to key business analytics. Learn to Qualitative surveys. Focus groups (. Interviews and ethnography. Test capture. Image capture. Sensor date. Machine data capture. Financial analytics. Customer profitability analytics. Product Profitability. are presented as with useful forms and frameworksInvest in yourself today and reap the benefits for years to comeThe Frameworks of the CourseEngaging video lectures, case studies, assessment, downloadable resources and interactive exercises. This course is created to learn the Introduction to the Key Business Analytics including the raw material - data. Business experiments/experimental design/AB testing. Visual analytics. Correlation analysis. Scenario analysis. Forecasting or Time. Data mining. Regression analysis. Text analytics. Text analytics. Sentiment analysis. Image Analytics. Video analytics. Voice analytics. Monte Carlo simulations. Linear programming. Cohort analysis. Factor analysis. Neural network analysis. Meta analytics literature analysis. Analytics inputs tools or data collection methodsThe details Test capture. Image capture. Sensor date. Machine data capture. Financial analytics. Customer profitability analytics. Product Profitability. Cash flow analysis. Value driver analytics. Shareholder value analytics. Market analytics. Market size analytics. Demand forecasting. Market trends analytics. Non- customer analytics.The course includes multiple Case studies, resources like formats-templates-worksheets-reading materials, quizzes, self-assessment, film study and assignments to nurture and upgrade your of Competitor analytics. Pricing analytics. Pricing analytics. Marketing channel. Brand analytics. Customer analytics in details.In the first part of the course, you'll learn the details of Introduction to the Key Business Analytics including the raw material - data. Business experiments/experimental design/AB testing. Visual analytics. Correlation analysis. Scenario analysis. Forecasting or Time. Data mining. Regression analysis. Text analytics. Text analytics. Sentiment analysis. Image Analytics. Video analytics. Voice analytics. Monte Carlo simulations. Linear programming.In the middle part of the course, you'll learn how to develop a knowledge of The , Test capture. Image capture. Sensor date. Machine data capture. Financial analytics. Customer profitability analytics. Product Profitability. Cash flow analysis. Value driver analytics. Shareholder value analytics. Market analytics. Market size analytics. Demand forecasting. Market trends analytics. Non- customer analytics.In the final part of the course, you'll develop the Competitor analytics. Pricing analytics. Pricing analytics. Marketing channel. Brand analytics. Customer analytics. Course Content:Part 1Introduction and Study Plan· Introduction and know your Instructor· Study Plan and Structure of the Course1. Introduction1.1 Details of Introduction1.2. The raw materials -Data1.3. Data types and format1.4. How to use this 1.5. Who is this for?2. Business experiments or experimental design or AB testing2.1. What is it?2.2. What business questions is it helping me to answer2.3. Create a hypothesis2.4. Design the experiment2.5. Tips and traps3. Visual analytics4. Correlation analysis5. Scenario analysis6. Forecasting or Time7. Data mining8. Regression analysis9. Text analytics10. Sentiment analysis11..Image Analytics12. Video analytics13..Voice analytics14. Monte Carlo simulations15.. Linear programming16. Cohort analysis17. Factor analysis18. Neural network analysis19. Meta analytics literature analysis20. Analytics inputs tools or data collection methods21. Qualitative surveysPart 222. Focus groups23. Interviews24. Ethnography25. Test capture26.. Image capture27. Sensor date28. Machine data capture29. Financial analytics30. Customer profitability analytics31. Product Profitability32. Cash flow analysis33. Value driver analytics34. Shareholder value analytics35. Market analytics36. Market size analytics37. Demand forecasting38. Market trends analytics39. Non- customer analytics40. Competitor analytics41. Pricing analytics42. Marketing channel43. Brand analytics44. Customer analytics45. Customer lifetime
