|
via Udemy |
Go to Course: https://www.udemy.com/course/ra-data-science-and-supply-chain-analytics/
Certainly! Here's a comprehensive review and recommendation for the Coursera course on "Machine Learning Forecasting with Tidy Models" tailored for supply chain professionals: --- **Course Review and Recommendation: Machine Learning Forecasting with Tidy Models for Supply Chain Professionals** If you're a supply chain professional eager to harness the power of data science and machine learning, this Coursera course is an exceptional choice. Designed by Haytham, a seasoned expert with over eleven years of experience in procurement, supply chain management, and data science training, this course offers a highly practical and comprehensive learning pathway. **What Makes This Course Stand Out?** - **Industry-Focused Content:** Unlike generic data science courses, this program specifically targets supply chain challenges such as demand forecasting, inventory optimization, supplier segmentation, and capacity planning. The recent addition of the “Machine Learning Forecasting with Tidy Models” in August 2023 ensures you learn cutting-edge techniques relevant to today's supply chain dynamics. - **Hands-On Learning:** The course emphasizes coding along with the instructor, making concepts like data cleaning, visualization, and machine learning algorithms accessible even to beginners. You will work through real supply chain scenarios with downloadable resources, R project files, and exercises, enabling practical skill development. - **Structured Modules:** The curriculum is thoughtfully divided into three parts: 1. **Supply Chain Fundamentals** — understanding workflows and data generation. 2. **R Programming Fundamentals** — essential coding skills for data manipulation and analysis. 3. **Supply Chain Applications Using Data Science** — applying techniques to segmentation, forecasting, inventory, pricing, and machine learning. - **For All Skill Levels:** Whether you're a novice in coding or an experienced R user looking to deepen your supply chain analytics skills, this course caters to your needs. Complete beginners will find the step-by-step guidance invaluable, while advanced users can quickly upskill. - **Real-World Relevance:** Examples and case studies are based on actual supply chain problems, ensuring that the skills you acquire are directly applicable to your work. Plus, the inclusion of recent machine learning techniques provides a competitive edge. - **Additional Resources:** The course offers lifetime access, quizzes, homework, and a bonus webinar on machine learning, including demos on tools like Orange for data mining, making it a rich, ongoing learning resource. **Who Should Enroll?** - Supply chain planners, inventory managers, demand forecasters, and procurement specialists seeking to become data-driven decision-makers. - Finance professionals interested in applying forecasting to budget planning. - R users or Excel users aiming to transition into more powerful, automated analysis tools. - Anyone frustrated with spreadsheet limitations and eager to explore scalable, efficient data analysis in Python or R. **Final Verdict and Recommendation** This course is highly recommended for supply chain professionals who want to elevate their decision-making capabilities with data science and machine learning. Its practical approach, comprehensive coverage, and focus on supply chain relevance make it a standout option on Coursera. **Conclusion** Embark on this journey with Haytham to unlock the full potential of your supply chain data. Whether you aim to optimize inventory, enhance forecasting accuracy, or leverage machine learning, this course equips you with the tools and knowledge to excel. Invest in your professional growth today—this course might just transform the way you approach supply chain challenges! --- Please let me know if you'd like a shorter summary or specific focus points!
*Update: machine learning forecasting with tidy models is added in the last chapter (Aug 2023)made by a supply chainer for supply chainers. A course designed for the modern supply chain profession. " 60000 Professionals are using inventorize across R & Python. Know how to use it only in this course"It's been seven years since I moved from Excel to R and since then I have never looked back! With eleven years between working in Procurement, lecturing in universities, training over 70000 professionals in supply chain and data science with R and python, and finally opening my own business in consulting for five years now. I am extremely excited to share with you this course and learn with you through this unique rewarding course. My goal is that all of you become experts in data science and supply-chain. I have put all the techniques I have learned and practiced in this one sweet bundle of data science and supply chain.As a consultancy, we develop algorithms for retailers and supply chains to make aggregate and item controllable forecasting, optimize stocks, plan assortment and Maximize profit margin by optimizing prices. 13000 people are already using our free package for supply chain analysis "Inventorize" and we can't wait to share its capabilities with you so you can start dissecting supply chain problems...for free!The motivation behind this project is filling the gap of finding a comprehensive course that tackles supply chains using data science. there are courses for data science, forecasting, revenue management, inventory management, and simulation modeling. but here we tackle all of them as a bundle. Lectures, Concepts, codes, exercises, and spreadsheets. and we don't present the code, we do the code with you, step by step.the abundance of data from customers, suppliers, products, and transactions have opened the way for making informed business decisions on a bigger and more dynamic scale that can no longer be achieved by spreadsheets. In this course, we learn data science from a supply chain mindset.Don't worry If you don't know how to code, we learn step by step by applying supply chain analysis!*NOTE: Full course includes downloadable resources and R project files, homework and course quizzes, lifetime access, and a 30-day money-back guarantee.Who this course is for:· If you are an absolute beginner at coding, then take this course.· If you work in supply-chain and want to make data-driven decisions, this course will equip you with what you need.· If you work as a demand planner and want to make aggregate and item controllable forecasting, take this course.· If you are an inventory manager and want to optimize inventory for 1000000 products at once, then this course is for you.· If you work in finance and want to forecast your budget by taking trends, seasonality, and other factors into account then this course is just what you need.· If you are a seasoned R user, then take this course to get up to speed quickly with R capabilities. You will become a regular R user in no time.· If you want to take a deep dive (not just talking) in supply chain management, then take this course.· If you want to apply machine learning techniques for supply -chain, we will walk you through the methods of supervised and unsupervised learning.· If you are switching from Excel to a data science language. then this course will fast track your goal.· If you are tired of doing the same analysis again and again on spreadsheets and want to find ways to automate it, this course is for you.· If you are frustrated about the limitations of data loading and available modules in excel, then Moving to R will make our lives a whole lot easier.Course Designthe course is designed as experiential learning Modules, the first couple of modules are for supply chain fundamentals followed by R programming fundamentals, this is to level all of the takers of this course to the same pace. and the third part is supply chain applications using Data science which is using the knowledge of the first two modules to apply. while the course delivery method will be a mix of me explaining the concepts on a whiteboard, Presentations, and R-coding sessions where you do the coding with me step by step. there will be assessments in most of the sections to strengthen your newly acquired skills. all the practice and assessments are real supply chain use cases.Supply chain Fundamentals Module includes:1- Introduction to supply chain.2- Supply chain Flows.3- Data produced by supply chains.R Programming Fundamentals Module includes:1- Basics of R2- Data cleaning and Manipulation.3- Statistical analysis.4- Data Visualization.5- Advanced Programming.Supply chain Applications Module include:1- Product segmentations single and Multi-criteria2- Supplier segmentations.3- Customers segmentations.4- Forecasting techniques and accuracy testing.5- Forecasting aggregation approaches.6- Pricing and Markdowns optimization Techniques.7- Inventory Policy and Safety stock Calculations.8- Inventory simulations.9- Machine Learning for supply-chain.10- Product Recommendations for customers.11- Simulations for optimizing Capacity and Resources.*NOTE: Many of the concepts and analysis I explain first in excel as I find excel the best way to first explain a concept and then we scale up, improve and generalize with R. By the end of this course, you will have an exciting set of skills and a toolbox you can always rely on when tackling supply chain challenges. The course may take from 12-16 weeks to finish, 4-5 hours of lectures, and practice every week.*Bonus: one hour webinar of Intro to machine learning where I am the panelist for NOBLE PROG; the host and organizer of the webinar event. the webinar has a demo on how to use orange for data mining.Happy Supply Chain mining!HaythamRescale AnalyticsFeedback from Clients and Training:"In Q4 2018, I was fortunate to find an opportunity to learn R in Dubai, after hearing about it from indirect references in UK.I attended a Supply Chain Forecasting & Demand Planning Masterclass conducted by Haitham Omar and the possibilities seemed endless. So, we requested Haitham to conduct a 5-day workshop in our office to train 8 staff members, which opened us up as a team to deeper data analysis. Today, we have gone a step further and retained Haitham, as a consultant, to take our data analysis to the next level and to help us implement inventory guidelines for our business. The above progression of our actions is a clear indication of the capabilities of Haitham as a specialist in R and in data analytics, demand planning, and inventory management."Shailesh MendoncaCommercial lead-in Adventure AHQ- Sharaf Group" Haytham mentored me in my Role of Head of Supply Chain efficiency. He is extremely knowledgebase about the supply concepts, latest trends, and benchmarks in the supply chain world. Haytham's analytics-driven approach was very helpful for me to recommend and implement significant changes to our supply chain at Aster group"Saify NaqviHead of Supply Chain Efficiency"I participated to the training session called "Supply Chain Forecasting & Management" on December 22nd 2018. This training helped me a lot in my daily work since I am working in Purchase Dpt. Haytham have the pedagogy to explain us very difficult calculations and formula in simple way. I highly recommend this training."Djamel BOUREMIZPurchasing Manager at Mineral Circles Bearings