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Demand Forecasting Using Time Series

Demand Forecasting Using Time Series

This course is the second in a specialization for Machine Learning for Supply Chain Fundamentals. In this course, we explore all aspects of time series, especially for demand prediction. We'll start by gaining a foothold in the basic concepts surrounding time series, including stationarity, trend (drift), cyclicality, and seasonality. Then, we'll spend some time analyzing correlation methods in relation to time series (autocorrelation). In the 2nd half of the course, we'll focus on methods for demand prediction using time series, such as autoregressive models.

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  • 9 ساعات
  • الإنجليزية
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Strategic Business Analytics

Strategic Business Analytics

This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains.

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  • الإنجليزية
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Retail Fundamentals

Retail Fundamentals

Learn key components of the retail business, including forecasting, inventory management, product assortment planning and pricing from TuckX and the Tuck School of Business at Dartmouth.

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  • 2
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Improving Supply Chain Performance through Demand Planning

Improving Supply Chain Performance through Demand Planning

Become a Demand Planning leader, capable of implementing and improving Sales and Operations Planning (S&OP), Integrated Business Planning (IBP) and Collaborative Planning Forecasting and Replenishment (CPFR) processes, to help top companies reduce inventory levels, stock-outs and inefficiencies, while increasing service levels and profitability for all stakeholders.

Part of the ISCEA CFDP - Certified Forecaster and Demand Planner - Internationally Recognized Certificate.

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Forecasting Techniques for Slow and Rapidly Changing Demand

Forecasting Techniques for Slow and Rapidly Changing Demand

Master quantitative, judgmental and causal models used to forecast seasonal, intermittent, and new product future demand. Choose the right forecasting method for all kinds of demand patterns and sales data. Learn how to deal with randomness and low forecastability; missing data, outliers, and overfitting. Separate forecasting myths from reality and mitigate the risk of inaccurate forecasts.

Part of the ISCEA CFDP - Certified Forecaster and Demand Planner - Internationally Recognized Certificate.

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  • الإنجليزية
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Purchase management

Purchase management

On this online course you will find all necessary tools o correctly plan demand, and you will acquire knowledge for forecasting, strategic sourcing, management and provider evaluation.

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Predict Sales and Forecast Trends in Google Sheets

Predict Sales and Forecast Trends in Google Sheets

By the end of this project, you will understand use cases for conducting forecasts in your workplace and be able to confidently conduct a trend forecast in any spreadsheet software. You will also understand when it is necessary to refine a model to improve the accuracy of forecasted trends.

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  • Self Paced
  • 3 ساعات
  • الإنجليزية
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Forecast bikeshare demand using time series models in R

Forecast bikeshare demand using time series models in R

In this project, you’ll help a bike rental company enhance its fleet management and pricing strategy by building a daily bike rental forecasting model using time series analysis techniques in R. Your objectives include loading, cleaning, processing, and analyzing daily rental transaction data, and developing and evaluating time series models for the most accurate predictions. The company will use your validated forecasting model to determine the optimal number of bikes to keep in each station and set dynamic pricing based on predicted demand.

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  • 3 ساعات
  • الإنجليزية
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Leverage Data Science for a More Agile Supply Chain

Leverage Data Science for a More Agile Supply Chain

Over the past two decades, the supply chain has become more complex. While advancing technology has allowed companies to capture this complexity within stores of ever accumulating data, companies have not kept up with how to analyze and derive insights from that data. This specialization uses hands-on activities to show how data science techniques can turn raw data into decision-makers for a more agile supply chain.

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  • الإنجليزية
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Covid-19 Cases Forecasting Using Fbprophet

Covid-19 Cases Forecasting Using Fbprophet

Predictive models attempt at forecasting future value based on historical data. In this hands-on project, we will analyze the transmission of Covid-19 virus across the globe and train a time-series model (fbprophet) to get the projection of corona virus-related cases in the United States.

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  • 3 ساعات
  • الإنجليزية
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  • Free
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Supply Chain Management

Supply Chain Management

This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy. The Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3.

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  • الإنجليزية
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Microsoft Power BI Desktop - The Practical Bootcamp

Microsoft Power BI Desktop - The Practical Bootcamp

✓ Master Power BI Desktop from end-to-end ✓ Create impressive reports with Power BI ✓ Work professionally with Power BI Microsoft Power BI Desktop is the perfect tool for creating impressive reports, and this course will teach you everything you need to know to become an advanced report creator.

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  • 9 ساعات
  • الإنجليزية
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Finance for Technical Managers

Finance for Technical Managers

In Finance for Technical Managers, you will explore the fundamental principles of financial management. Topics include understanding and interpreting a company’s financial statements, the time value of money and its role in evaluating the economic viability of different projects, and the annual capital budgeting process every company performs when selecting which projects to fund. In addition, you will cover some highly practical topics, such as how to determine product costs, establishing a department’s annual budget, and ways of forecasting future sales.

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  • الإنجليزية
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Building a Large-Scale, Automated Forecasting System

Building a Large-Scale, Automated Forecasting System

In this course you learn to develop and maintain a large-scale forecasting project using SAS Visual Forecasting tools. Emphasis is initially on selecting appropriate methods for data creation and variable transformations, model generation, and model selection.

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  • 10 ساعات
  • الإنجليزية
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Solar Resource Assessment in Desert Climates

Solar Resource Assessment in Desert Climates

Learn how to use the components of solar radiation,solar spectrum, forecasting and meteorology to advocate and plan for deploying PV in desert climates

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  • الإنجليزية
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Excel Skills for Business Forecasting

Excel Skills for Business Forecasting

The current state of the world makes business forecasting even more fundamental to the operation of institutions.

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  • Self Paced
  • الإنجليزية
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Excel Regression Models for Business Forecasting

Excel Regression Models for Business Forecasting

This course allows learners to explore Regression Models in order to utilise these models for business forecasting. Unlike Time Series Models, Regression Models are causal models, where we identify certain variables in our business that influence other variables. Regressions model this causality, and then we can use these models in order to forecast, and then plan for our business' needs. We will explore simple regression models, multiple regression models, dummy variable regressions, seasonal variable regressions, as well as autoregressions.

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  • 9 ساعات
  • الإنجليزية
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Analytics for Decision Making

Analytics for Decision Making

The field of analytics is typically built on four pillars: Descriptive Analytics, Predictive Analytics, Causal Analytics, and Prescriptive Analytics. Descriptive analytics (e.g., visualization, BI) deal with the exploration of data for patterns, predictive analytics (e.g., data mining, time-series forecasting) identifies what can happen next, causal modeling establishes causation, and prescriptive analytics help with formulating decisions. This specialization focuses on the Prescriptive Analytics (the final pillar).

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Analyzing Time Series and Sequential Data

Analyzing Time Series and Sequential Data

Using SAS Visual Forecasting and other SAS tools, you will learn to explore time series, create and select features, build and manage a large-scale forecasting system, and use a variety of models to identify, estimate and forecast signal components of interest.

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  • الإنجليزية
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Collaborative Foresight: How to Game the Future

Collaborative Foresight: How to Game the Future

You’ll never have a complete picture of what's possible in the future if you look at it from just one point of view. The best way to expand your vision? Engage as many people as you can, and “game out” the possibilities together. In this course, you’ll learn how to use collaborative gaming techniques to go beyond your own thinking and see many, many different sides of the same future.

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  • 15 ساعات
  • الإنجليزية
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Finance for Non-Financial Professionals

Finance for Non-Financial Professionals

Impact your financial decisions and learn how to affect the performance of your unit's profitability and of your organization. In this course gain a basic understanding of finance and accounting concepts to drive your organization's growth. Upon completion of this course, you will have gained general financial knowledge and an in-depth understanding of the impact of your decisions outside your functional area. Content of the course includes selected aspects of finance from a non-financial specialist perspective.

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  • 7 ساعات
  • الإنجليزية
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Wind Energy

Wind Energy

Welcome to the course of Wind Energy. This course gives an overview of key aspects in wind energy engineering. Whether you are looking for general insight in this green technology or your ambition is to pursue a career in wind energy engineering, 'Wind Energy' is an excellent starting point.

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  • 34 ساعات
  • الإنجليزية
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Sales Operations/Management

Sales Operations/Management

Sales jobs span nearly every industry, from agribusiness and pharmaceuticals, to telecommunications and property management. And essential to sales is the management of the sales force. This course provides the knowledge and know how required for careers in sales management. Students are exposed to all facets of sales management, including organizing, selecting, training, motivating, supervising and compensating the sales force, territory management and administration and sales and expense forecasting. Also covered are typical sales management problems and potential solutions.

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  • الإنجليزية
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Forecasting Skills: See the Future Before it Happens

Forecasting Skills: See the Future Before it Happens

For many people, the future comes as a surprise – or even a shock. But with strong forecasting skills, YOU can avoid future shock. You can adapt faster, and become better prepared to benefit from change. In this course, you’ll build your future forecasting skills. You'll learn how to turn groups of "signals" (clues about the future) and "drivers" (global forces that influence the direction of change) into compelling future forecasts. Forecasts help you discover new possibilities and opportunities for yourself, your company, or any community you want to inspire to make a better future.

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  • 14 ساعات
  • الإنجليزية
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The Econometrics of Time Series Data

The Econometrics of Time Series Data

In this course, you will look at models and approaches that are designed to deal with challenges raised by time series data. The discussion covers the motivation for the use of particular models and the description of the characteristics of time series data, with a special attention raised to the potential memory. You will: – Discuss time series models, that refer to data that have been collected over a period on one or more variables for the same individual.

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  • 31 ساعات
  • الإنجليزية
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