Courses

This Guided Project Demand Planning in RStudio: Create Demand Forecast is for Supply Chain and/or Operations Analysts. In this 2-hour long project-based course, you will learn how: - Analyse demand data and cateogorise products based on trend and seasonality - Model demand data and create demand forecast for a given number of forecasting periods. - Diagnose the demand model; evaluate the forecast; plot and export the output. Benefit: Creating reasonably accurate forecasts enables businesses to make efficient production plans, determine optimal inventory policies, make effective pricing decisions, and achieve better customer satisfaction. Prerequisites: 1. Basic R language (variables, vectors, data frames) 2. Familiarity with RStudio interface 3. Basic overview of Supply Chains / Operations

Demand Management in Manufacturing What you'll learn: Demand Management OverviewRole of Demand Management in Manufacturing Planning and ControlOverview of major manufacturing environmentsDemand Management interfacing with MPC functionsInformation required for Demand ManagementUsing Forecasting Information for Demand ManagementCase studies in relevance to the content For any business, it is quite important to estimate the demand over a period and work on fulfilling the demand and earn your revenues. In a typical Manufacturing industry, demand management is one important function. Your leadership as well as the middle management works extensively to ensure demand management works to the best extent. Because the inputs from this function drive the rest of activities in your business.Demand Management is the gateway function in MPC, providing link to market place, sister plants, warehouses and other important customers. From demand management we get the information from and about the market through activities like forecasting customer demand, order capturing and determining your product requirements.Through this function, company communicates with customers, makes accurate order promise dates and communicate changes if any.It is also concerned with identifying the sources of demand for production capacity, service part demands, intra-company and inter-plant requirements and other needs for Inventory build-up or other needs for pipeline inventory stocking.This course explains the functions of Demand Management in a typical manufacturing industry. You will be first briefed on the context of this course. Demand management function, it's components and positioning in the overall Manufacturing Planning and Control cycle are explained in this section.Before we understand Demand Management, you need to know the most popular manufacturing environments in practice. Hence the next sessions provides an overview of major manufacturing environments such as Make to stock, Make to order etc and demand management approach in each of themIn the next section, you will know how Demand management functions interact with other functions within MPC as well as external touch points such as Market and Customer. There is lot of information required before you make any planning. You will go through important aspects of information required for Demand Management. In the next section, you will go through using forecast information for different planning levels during Demand Management. You will run through some aspects of developing and evaluating forecasting. You will also go through explanation of some popular forecasting methods along with illustration.You will be presented some case studies to get more understanding on demand management in multiple scenarios

Explore a 38-minute conference talk from the Data Science Festival featuring Charles Douse and Andreas Yiannakou from M&S. Delve into the application of data science for improving online demand forecasting in fulfilment centers. Learn how machine learning models can enhance resource planning for picking, packing, and dispatching online orders, potentially reducing costs and maintaining customer delivery times. Discover the importance of model interpretability in explaining findings and understanding accuracy. Gain insights into breaking down forecasts to display each feature's incremental impact, providing a more nuanced understanding of the prediction process.

Demand planning has never been so critical to remain competitive in a rapidly changing business environment. Successful companies have to be sure that their demand planning processes are aligned with Supply Chain Management, Inventory Planning Strategies, Sales and Operations Planning, Integrated Business Planning, and Collaborative Planning best practices. In this course, that is part of the edX Professional Certificate program to become a Certified Forecaster and Demand Planner (CFDP), you will learn how demand planning can improve supply chain processes and become a competitive advantage; by reducing shortages and improving customer satisfaction. CFDP certified professionals are globally preferred by recruiters for decision making positions because they are capable to lead successful planning processes, coordinate partnerships and conduct global supply chain initiatives like CPFR. To become an ISCEA Certified Forecaster and Demand Planner (CFDP), you must complete all three preparatory courses and successfully pass the CFDP Exam.

How to use forecasting metrics to evaluate forecasts? What you'll learn: How to compute RMSE, MAE, MAPE, WMAPE, and BiasPros and Cons of each forecasting metricWhich forecasting metric(s) to use when evaluating the quality of a forecastEvaluate the quality of a forecast using relevant KPIsWhy MAPE is the worst forecasting KPI and what to do instead This course will teach you how to use various forecasting metrics (Bias, MAE, MAPE, WMPAE, and RMSE) to select the best demand forecast. The end goal is that you can (as a demand planner or S&OP leader) automatically assess the quality of forecasts at scale - even if you have a wide product portfolio (including intermittency and products with different prices). Specifically, you will learn:The pros and cons of Bias, MAE, WMAPE, MAPE, and RMSE,How Forecasting KPIs are influenced by intermittent demand and outliers,Why MAPE is the worst forecasting KPI, Which metric(s) to use to balance accuracy and bias? How to use value-weighted KPIs to assess the quality of your forecasts, even if you deal with various products with different prices. This course alternates theory with Do-It-Yourself exercises in Excel. You will learn by doing and gain hands-on experience with practical examples and case studies. You will be able to apply these concepts (and use the Excel templates) directly to your work environment for immediate impact. The course includes one hour of videos, and its content is based on my books (Data Science for Supply Chain Forecasting and Demand Forecasting Best Practices) and the content of the course I teach to professionals and university students. It should take you 2 to 4 hours to complete it. The course only requires limited experience with Excel (such as using usual formulas such as average and sum).

A practical guide on how to do analyses during consulting projects What you'll learn: Analyze the production plans in ExcelCalculate the optimal production batches in ExcelHow to do simulations in ExcelHow to do scenario analysis in ExcelUnderstand the role of Production PlanningOptimize the Production Planning during Management Consulting Projects What is the aim of this course?Consulting firms are hired very often to help with Supply Chain and Production. During such projects, you will quite often have to look at the production planning and optimize it. Optimizing production planning will require a good understanding of what drives production capacity, as well as how production can impact the costs in the whole supply chain. In this course, I will teach how to perform fast and efficiently different types of analyses related to production planning.In the course you will learn the following things:What does the production capacity depend on and how to estimate itHow to find optimal production batches for different products in Excel that will minimize costs in the whole supply chainHow to plan production capacity for the futureHow and when to use different methods for production planningThis course is based on my 15 years of experience as a consultant in top consulting firms and as a Board Member responsible for strategy, performance improvement, and turn-arounds in the biggest firms from Retail, FMCG, SMG, B2B, and services sectors that I worked for. I have carried out or supervised over 90 different performance improvement projects in different industries that generated a total of 2 billion in additional EBITDA. On the basis of what you will find in this course, I have trained in person over 100 consultants, business analysts, and managers who now are Partners in PE and VC funds, Investment Directors and Business Analysts in PE and VC, Operational Directors, COO, CRO, CEO, Directors in Consulting Companies, Board Members, etc. On top of that my courses on Udemy were already taken by more than 300 000 students including people working in EY, Walmart, Booz Allen Hamilton, Adidas, Naspers, Alvarez & Marsal, PwC, Dell, Walgreens, Orange, and many others.I teach through case studies, so you will have a lot of lectures showing examples of analyses, and tools that we use. To every lecture, you will find attached (in additional resources) the Excels as well as additional presentations, resources, and materials shown in the lectures so as a part of this course you will also get a library of ready-made analyses that can, with certain modification, be applied by you or your team in your work.Why have I decided to create this course?Production planning is very difficult for most management consultants. You not only have to master more advanced techniques, but you also have to have a good understanding of the production processes. Most firms, don’t give you the full toolbox that you may need. This may lead to huge frustration during consulting projects and a lot of inefficiencies.Therefore, I have decided to create this course that will help students understand or refresh the main skills and tools that they need during consulting projects devoted to production planning, supply chain, or production improvement. The course will give you the knowledge and insight into real-life case studies that will make your life during a consulting project much easier. Thanks to this course, you will know what and how to do during consulting projects. You will learn how to analyze data and draw conclusions from the analyses. On top of that, you will also master the essential information related to production and supply chain.To sum it up, I believe that if you want to become a world-class Management Consultant or Business Analyst you have to have a pretty decent understanding of production planning and analyses done during projects devoted to production optimization. That is why, I highly recommend this course to Management Consultants or Business Analysts, especially those that want to concentrate on operations, production, or supply chain. The course will help you become an expert in production planning on the level of McKinsey, BCG, Bain, and other top consulting firms.In what way will you benefit from this course?The course is a practical, step-by-step guide loaded with tons of analyses, tricks, and hints that will significantly improve the speed with which one analyzes businesses. There is little theory – mainly examples, a lot of tips from my own experience as well as other notable examples worth mentioning. Our intention is that thanks to the course you will learn:What does the production capacity depend on and how to estimate itHow to find optimal production batches for different products in Excel that will minimize costs in the whole supply chainHow to plan production capacity for the futureHow and when to use different methods for production planningYou can also ask me any question either through the discussion field or by messaging me directly.How the course is organized?The course is divided currently into the following sections:Introduction. We begin with a little intro to the course as well as some general info on how the course is organized.What does Production Planning do in practice? In the second section, we will look at some essential concepts that we will need to do the production planning. We will devote a lot of attention to removing bottlenecks.Essential Methods for Production Planning. In this brief section, I will show the main methods used in production planning.KPIs and goals for Production Planning. In production planning, you have to decide how to organize production so that it is optimal not only from the point of view of production but also from the whole supply chain. That is why, in this section, we will look at KPIs and goals that Production planning concentrates on.Advanced Methods for Production Planning. In this section, we will look at more advanced methods of finding optimal production batches. They can be very useful in more complicated case studies.Kanban & Continuous Flow. Production planning roles will differ if you are using Kanban and continuous flow. That is why in this section we will look at those two concepts.Production Planning in Continuous-Flow. In this section, I will show you how to define the size of kanbans you will be using in the firm.Capacity management. In the last section, we will discuss how to manage the medium-term and long-term capacity available in your production facilities.You will be able also to download many additional resources Useful frameworks and techniques Analyses shown in the course Additional resourcesLinks to additional presentations, articles, and moviesLinks to books worth readingAt the end of my course, students will be able to…Analyze the production plans in ExcelCalculate the optimal production batches in ExcelDo simulations in ExcelDo scenario analysis in ExcelUnderstand the role of Production PlanningWho should take this course? Who should not?Management ConsultantsBusiness AnalystsFinancial ControllersAnalysts working in Supply Chain DepartmentsAnalysts working in Production DepartmentsAnalysts working in Production Planning Units

Wish you had a crystal ball to foresee customer demand? These courses will help you build forecasting models, identify supply chain disruptions, and develop strategies for risk management. Whether you’re new to the industry, refreshing your skills, or preparing for CSCMP's SCPro™ certification, these courses can help. Tune in, pass the final exam, and earn your certificate.Analyze Excel models for forecasting insights.Learn methods to prevent bias and errors.Identify and manage risks to customer demand.

S&OP: Generate Unconstrained Demand & Measure Sales Forecast Accuracy What you'll learn: Reflect reality of market demand and then drive a balanced sales forecast.Measure forecast accuracy & apply forecasting improvement steps.Generate rolling forecast for wider horizons for business growth & capacity planning.Apply time fence policy of forecasting to draw the line between supply & demand teams. This is a unique training course in its likelihood of implementation. Firstly, the course will teach you how to make mirror reflection of market demand by applying effective solution of developing sales forecast.There will be horizontal techniques & vertical approaches which are constraining the forecasts figures to be at equilibrium phase.Fundamental components to integrate demand with supply will be demonstrated as well in order to have high level of effective sales & operation planning (S&OP). These are; rolling forecast, time fence policy, forecast variances, etc. Forecasting accuracy methodologies will be explained as well, to drive assurance of having high level accurate sales forecasting figures and to operate at optimum cost of operation. The course is explaining each concept by an exercise and this is what differentiating this course and making it unique one.Each exercise is in a plug-and-play format, using Microsoft Excel to present information from a conceptual point of view. From this, it should be easy to compare the information presented to your current ERP system.

Watch a 22-minute conference talk from Data Science Conference Europe 2023 exploring how BE-terna's Demand Forecasting and Supply Chain Planning platform leverages AI for supply chain optimization. Discover how advanced AI algorithms enhance demand forecasting and inventory management across diverse item categories while maintaining operational efficiency. Learn about the platform's cloud-based deployment benefits, including cost-effectiveness and security features. Understand how GPT integration through an intuitive chatbot interface demystifies complex stock recommendations, making AI-driven insights accessible to users regardless of technical expertise. Explore how this innovative approach to transparency in AI systems builds trust and improves decision-making processes in modern supply chain management.

Learn about getting started with demand planning.This module explains the following concepts: Demand planning process Time series and planning data Learn how to set up and use demand planning.This module explains the following concepts: Install, turn on, and set up the Demand Planning app. Configure and assign security roles and duties. Create or edit a table and its columns and relationships. View and run existing data import files. Create and manage data import files. Create and manage transformation profiles. Configure and manage calculation profiles. Configure and customize a calculation model. Learn how to forecast by using demand planning in Dynamics 365 Supply Chain Management.This module explains how to: Export and download data. Configure rolling forecasts. Work with forecast profiles. Design forecast models. Create and use a custom Azure Machine Learning algorithm.

Explore the intricacies of AI-driven retail demand planning in this insightful conference talk by Kanchana Padmanabhan, Director of Data Science at Kinaxis. Delve into the challenges and solutions of promotion planning in retail, focusing on Kinaxis' Optimize product. Discover how this AI-driven tool automates the process of deciding which products to promote, when to promote them, and what promotion parameters to apply. Learn about the importance of monotonicity and smoothness in demand estimation models, and understand why these conditions are crucial for demand planners. Examine the complexities of advanced machine learning models when applied to retail data, and uncover a model-agnostic methodology that ensures consistent and smooth demand estimations. Gain valuable insights into the practical application of AI in retail planning and the innovative approaches used to overcome data-related challenges in this field.

Learn how Nikon Corporation developed and deployed an automated, scalable demand forecasting solution for camera accessories using Databricks' unified data and AI platform in this 32-minute conference talk. Discover the unique challenges of forecasting camera accessories, including dependencies on parent products, sparse demand patterns, and managing predictions for thousands of items across global subsidiaries. Explore Nikon's hybrid approach that automatically selects the best algorithm from a suite of machine learning and time-series models, incorporating anomaly detection and specialized methods to handle sparse and low-demand scenarios. Understand how MLflow enables automated model logging and versioning for efficient management and scalable deployment. Examine the complete framework architecture covering data preparation, model selection and training, performance tracking, prediction generation, and output processing for downstream systems. Gain insights into how this solution addresses the critical need for timely availability of camera accessories to meet the diverse requirements of professional photographers worldwide. Presented by Heya Ouyang, Senior Associate Researcher at Nikon Corporation, this talk provides practical insights into implementing enterprise-scale demand forecasting solutions using modern data science and machine learning platforms.

With an expected growth rate of 18%, there hasn’t been a better time to enter the field of supply chain analytics. In this program, you’ll learn in-demand skills like data analysis, demand forecasting, and cost analysis to get job-ready in less than 4 months, with no prior experience needed to get started. Supply chain analysts are essential in helping organizations achieve cost savings, reduce lead times, enhance customer satisfaction, and adapt to changing market conditions through data-driven insights and analytical approaches. This program is designed for entry-level professionals, business administrations graduates and those with strong problem solving, time management, and organizational skills. You will learn the foundational skills employers seek for entry level supply chain analysts roles and get hands-on experience cleaning, filtering, sorting, and presenting data. In this program, you'll learn to: Describe the supply chain analyst role and its impact to the supply chain . Identify potential opportunities in all aspects of the supply chain, ensuring cost and resource efficiencies and continual growth. Use data and the current status of expenses and profitability to understand the impact of operations,, savings realization, and future outlook. Monitor supply chain security risks and adjust overall planning and scheduling accordingly. Describe the role of the supply chain analysts to assist in meeting sustainability goals.

Welcome to Demand Analytics - one of the most sought-after skills in supply chain management and marketing! Through the real-life story and data of a leading cookware manufacturer in North America, you will learn the data analytics skills for demand planning and forecasting. Upon the completion of this course, you will be able to 1. Improve the forecasting accuracy by building and validating demand prediction models. 2. Better stimulate and influence demand by identifying the drivers (e.g., time, seasonality, price, and other environmental factors) for demand and quantifying their impact. AK is a leading cookware manufacturer in North America. Its newly launched top-line product was gaining momentum in the marketplace. However, a price adjustment at the peak season stimulated a significant demand surge which took AK completely by surprise and resulted in huge backorders. AK faced the risk of losing the market momentum due to the upset customers and the high cost associated with over-time production and expedited shipping. Accurate demand forecast is essential for increasing revenue and reducing cost. Identifying the drivers for demand and assessing their impact on demand can help companies better influence and stimulate demand. I hope you enjoy the course!

This eight-course Professional Certificate from IBM prepares you with job-ready skills for an entry level data analyst role. Position yourself competitively and power your data analyst career for a job in a thriving market or leverage foundational data skills to explore problems in an increasingly data-driven professional world. The U.S. Bureau of Labor Statistics projects a growth rate of 20% in the data analytics industry until 2028. You will learn the core principles of data analysis, participate in hands-on skills-based practice, and gain the knowledge to help companies make smarter business decisions. You will work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics. These online learning tools will offer you practical experience with data manipulation and the application of analytical and data visualization techniques. This Professional Certificate does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. A willingness to learn, basic computer literacy, comfort working with numbers, high school math, and a desire to enrich your profile with valuable skills is all you need to get started in this course. With the IBM Data Analyst Professional Certificate you will develop the confidence and portfolio to begin a career as an associate or junior data analyst by learning the essential skills that help professionals in a wide range of job functions and industries explore business problems.

Clean up messy data, uncover patterns and insights, and communicate your findings. You'll start with an introduction to data analysis tools, including Jupyter Notebook, NumPy, pandas, and Matplotlib. Using these tools, you will ask questions about data and answer them through data collection, exploration, wrangling, and visualization. This intermediate-level program includes real-world projects where you will choose your own datasets, research questions, and analysis approach. As you progress through the program, each course will repeat the data analysis process while introducing more advanced techniques, such as applying data imputation to fill in missing data and applying appropriate encodings when developing data visualizations.

The goal of the Security Analyst Nanodegree Program is to equip students with the skills required to be successful in an analyst role.

The US Bureau of Labor Statistics projects a 23% increase in cybersecurity jobs to 2033. The demand for cybersecurity analysts is growing ever stronger! What do cybersecurity analysts do? Cybersecurity analysts protect an organization's digital assets by identifying, analyzing, and mitigating security threats, ensuring data and systems remain secure against cyberattacks. This IBM Cybersecurity Professional Certificate has been designed by industry experts to provide you with the job-ready cybersecurity and digital forensic skills you need to jumpstart your cybersecurity career. No prior cybersecurity experience is required. To begin, you’ll build your foundational knowledge of cybersecurity essentials, tools, and technologies, operating systems, networking fundamentals, and the basics of cyberattacks. You’ll explore database fundamentals and vulnerabilities and learn about the steps a cybersecurity analyst would take to prevent, manage, and mitigate cybersecurity attacks. Plus, you’ll learn about cybersecurity architecture, compliance frameworks, standards, and regulations. You’ll also explore gen AI for cybersecurity and build valuable skills and hands-on experience in penetration testing, incident response, forensics, and threat intelligence. You’ll work on real-world projects developing cybersecurity plans and compliance frameworks, giving you great practical work to talk about in interviews. Plus, you’ll use real-world case studies that demonstrate that you can: Apply incident response methodologies and forensics practices. Use industry-specific security tools. Apply cybersecurity industry standards and best practices that mitigate risks, enhance security, and ensure compliance through audit processes. Use gen AI tools to boost cybersecurity effectiveness and productivity. Investigate a real-world security breach by identifying the attack, vulnerabilities, costs, and prevention. Take advantage of the insights provided by seasoned industry experts to guide your job search, resume creation, and Interviewing to help you land your first cybersecurity role. This program will also prepare you to take and earn a 30% discount on the CompTIA Security+ and CySA+ certification exams. After successfully completing this program, you’ll have an industry-recognized IBM Professional Certificate that you can add to your resume and portfolio. If you’re looking to kickstart your cybersecurity career as a sought-after analyst, ENROLL TODAY, and look forward to being job-ready in less than 6 months!

Understand Data Security What you'll learn: Deep knowledge of organization’s IT Systems.IT Security threat analysis and management.IT Security maintenance, training and supportIT security fixes, tools, countermeasures, testing plus upgrade paths This course is designed for anyone who wants to understand the analysis of data security. More than ever, information security analysts are needed to rescue companies when they have been hacked or breached, as well as to put in place controls and counter-measures to avert cyber attacks.Gain the skills required to detect and mitigate information and cyber security threats and vulnerabilities. The security analyst role is an entry point to many other security specialties and is highly in-demand in today’s evolving threat environment.In the fast moving world of cyber security, with new threats evolving daily, up to date knowledge and skills that involves protecting systems and networks of companies and other assets containing mission-critical data as well as designing and developing new security solutions routinely to stay ahead of the hackers and cyber attackers.Learn the essential prerequisites for your career success! ENROLL TODAY!

Step into the fast-growing world of data analytics with the Data Analyst program. This comprehensive, beginner-friendly series of courses from Microsoft will equip you with essential skills to collect, clean, model, and visualize data using Power BI—a leading business intelligence platform. Through hands-on projects and interactive lessons, you’ll learn how to turn raw data into actionable insights, build compelling dashboards, and effectively communicate trends and findings to stakeholders. Whether you're aiming to launch a new career in data analysis or upskill in your current role, this program offers the practical knowledge and tools to succeed in today’s data-driven job market.