|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/demand-forecasting-principles-models-kpis/
课程评论：没有评论
课程名称：需求预测 - 供应链全方位指南 课程概述： 恭喜您找到Udemy上评分最高的需求预测课程。正如一位专家所说：“有两种预报员：那些不知道的人，以及那些不知道自己不知道的人。” 要是能预测您业务的未来，不是更好么？Aberdeen Group的研究发现，实施正式预测流程的公司，其年均收入增长率高出10%，预测准确率高出7%，库存水平低出10%，而没有正式流程的公司则相对较低。 本课程旨在提升您的预测技能，助力您的职业发展。无论您是商业分析师、数据科学家还是运营经理，本课程将为您提供成功所需的知识和技能。您将获得终身访问课程材料的权限，以便随时按自己的节奏学习和复习内容。 通过当前和历史数据，您将能够准确预测未来的趋势与走向，从而更有信心地分析整体业务。课程将从基本预测原理入手，逐步深入到先进的行业实践。您将学习构建以下时间序列模型： 1. 天真预测 2. 移动平均 3. 加权平均 4. 指数平滑 5. 自回归（AR）模型 6. 自回归积分移动平均（ARIMA）模型 7. 线性回归模型 8. 其他因果模型（即将推出） 即使您对编程语言不是专家，Excel也可以作为一个良好的替代方案或起步工具。学习Excel中的预测是掌握Python和R等编程语言中预测的基础。课程中还包含所有模型的实践作业及KPI计算，帮助您实践。 最重要的是，您将学习上述所有模型的优缺点，这些模型构成了所有高级预测模型的基础。您还将学习以下预测关键绩效指标（KPI）： 1. 预测准确性 2. 平均偏差 3. MAPE（平均绝对百分比误差） 4. MAE（平均绝对误差） 5. RMSE（均方根误差） 以下是Udemy学生对“需求预测 - 供应链全方位指南”的评价： “我喜欢您分享的所有预测模型的优缺点，示例非常好，KPI部分解释得很详细。” - Shubham “这门课程非常好，值得学习以更好地理解需求预测。” - Vaibhav “讲师的要点清晰明了，信息展示得非常好。” - V.C 立即报名！
Congratulations You have Found Out Highest Rated Course On Udemy For Demand Forecasting"There are two kinds of forecasters: those who don't know, and those who don't know they don't know."Wouldn't it be nice to see into the future of your business? A study conducted by the Aberdeen Group found that companies that implement a formal forecasting process achieve 10% greater year-over-year revenue growth, 7% higher forecast accuracy, and 10% lower inventory levels than companies that don't have a formal process in place."Are you looking to improve your forecasting skills and take your career to the next level? Whether you're a business analyst, data scientist, or operations manager, this course will provide you with the knowledge and skills you need to succeed. And with lifetime access to the course materials, you can learn at your own pace and revisit the content whenever you need to. With business forecasting, this is a reality; by using current and historical data you are able to have accurate predictions for future trends and forecasts. With this increased visibility you can analyze your business as a whole with the utmost confidence in the data.The course will start with the basic principles of forecasting and take you to advance industry practices.You will learn to build the following Time Series models. 1. Naive Forecasting2. Moving Average 3. Weighted Average 4. Exponential Smoothing 5. AR ( Auto Regressive ) Model 6. ARIMA (Auto Regressive Integrated Moving Average ) Model7. Linear Regression Model8. Causal Models ( Coming Soon )Not everyone is an expert in programming languages so excel can be good alternative or good start to build models.Learning forecasting in excel is the foundation of learning forecasting in programming languages like Python and R. Practice assignments for all the models forecasting and KPI calculation is part of the course. Get ready to make your hands dirty.Most importantly you will learn the pros and cons of all these models mentioned above. These models form the fundamentals of all advanced forecasting models.Also, you learn about following forecasting KPIs1. Forecast Accuracy2. Average Bias3. MAPE ( Mean Absolute Percentage Error)4. MAE( Mean Absolute Error)5. RMSE( Root Mean Square Error)Here's what Udemy students are saying about "Demand Forecasting-Supply Chain: End to End Guide ""Liked how you shared pros and cons of all the forecasting models. The examples were good. KPIs section is explained in quite detail." - Shubham"Good course must do it for better understanding of demand forecasting"- Vaibhav "Instructor has excellent bullet points and displays the information clearly" - V.CEnroll Now!!!!!
