The top 20 Logistics courses you need to take

1. Supply Chain Logistics

Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics! Interested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers...

2. SAP Logistic Execution

4.6

(1,343)

Updated in 2017: Course updated to reflect changes in S/4 HANA Logistic Execution is one of the core activity of any company. Increasingly, companies are required to execute more complex processes as a means of keeping their competitive advantage. The objective of this course is to explain both the business and SAP process within the Logistic Execution area. It is aimed to provide students a deepdive into the subject in an easy, comprehensive, course that can be applied in today's workplace. For this course we will be deepdive into the following areas The best way to use the Logistic Execution ProcessesThe configuration behind the Logistic Execution module (Distribution module)Packaging core conceptsSystem demonstrations The course will cover the following SAP functionality How to create and use Outbound deliveries effectivelyThe mass creation of Outbound delivery in the foreground and background, and how to use it in the context of the businessRoute determination and why it is importantPicking strategies and how they are executed in SAPExecuting Picking in Inventory management and warehouse management (IM and WM)When to use Packing and how to execute it in Handling Unit management (HU) It is not just SAP details that this course will be covering, the course also covers The process from the perspective of the business and users. The integration and context of Supply Chain Management. How to run these process in SAP and why do we execute them in a particular way. SAP Best Practice. This course is part of the larger SAP Supply Chain course, but has been segregated as to provide a targeted, deepdive session into the SAP functionality of Logistic Execution...

3. Logistic Regression using Stata

4.8

(142)

Included in this course is an e-book and a set of slides. The course is divided into two parts. In the first part, students are introduced to the theory behind logistic regression. The theory is explained in an intuitive way. The math is kept to a minimum. The course starts with an introduction to contingency tables, in which students learn how to calculate and interpret the odds and the odds ratios. From there, the course moves on to the topic of logistic regression, where students will learn when and how to use this regression technique. Topics such as model building, prediction, and assessment of model fit are covered. In addition, the course also covers diagnostics by covering the topics of residuals and influential observations. In the second part of the course, students learn how to apply what they learned using Stata. In this part, students will walk through a large project in order to understand the type of questions that are raised throughout the process, and which commands to use in order to address these questions...

4. Logistic Regression in Python

4.6

(854)

You're looking for a complete Classification modeling course that teaches you everything you need to create a Classification model in Python, right?You've found the right Classification modeling course! After completing this course you will be able to: Identify the business problem which can be solved using Classification modeling techniques of Machine Learning. Create different Classification modelling model in Python and compare their performance. Confidently practice, discuss and understand Machine Learning conceptsHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course. If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular Classification techniques of machine learning, such as Logistic Regression, Linear Discriminant Analysis and KNNWhy should you choose this course?This course covers all the steps that one should take while solving a business problem using classification techniques. Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i. e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business. What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones: This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a classification model, which is the most popular Machine Learning model, to solve business problems. Below are the course contents of this course on Classification Machine Learning models: Section 1 - Basics of StatisticsThis section is divided into five different lectures starting from types of data then types of statisticsthen graphical representations to describe the data and then a lecture on measures of center like meanmedian and mode and lastly measures of dispersion like range and standard deviationSection 2 - Python basicThis section gets you started with Python. This section will help you set up the python and Jupyter environment on your system and it'll teachyou how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn. Section 3 - Introduction to Machine LearningIn this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model. Section 4 - Data Pre-processingIn this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important. We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation. Section 5 - Classification ModelsThis section starts with Logistic regression and then covers Linear Discriminant Analysis and K-Nearest Neighbors. We have covered the basic theory behind each concept without getting too mathematical about it so that youunderstand where the concept is coming from and how it is important. But even if you don't understandit,  it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures. We also look at how to quantify models performance using confusion matrix, how categorical variables in the independent variables dataset are interpreted in the results, test-train split and how do we finally interpret the result to find out the answer to a business problem. By the end of this course, your confidence in creating a classification model in Python will soar. You'll have a thorough understanding of how to use Classification modelling to create predictive models and solve business problems. Go ahead and click the enroll button, and I'll see you in lesson 1! CheersStart-Tech Academy------Below is a list of popular FAQs of students who want to start their Machine learning journey-What is Machine Learning?Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Which all classification techniques are taught in this course?In this course we learn both parametric and non-parametric classification techniques. The primary focus will be on the following three techniques: Logistic RegressionLinear Discriminant AnalysisK - Nearest Neighbors (KNN) How much time does it take to learn Classification techniques of machine learning?Classification is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn classification starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of classification. What are the steps I should follow to be able to build a Machine Learning model?You can divide your learning process into 3 parts: Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part. Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning modelProgramming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in PythonUnderstanding of  models - Fifth and sixth section cover Classification models and with each theory lecture comes a corresponding practical lecture where we actually run each query with you. Why use Python for Machine Learning?Understanding Python is one of the valuable skills needed for a career in Machine Learning. Though it hasn't always been, Python is the programming language of choice for data science. Here's a brief history:    In 2016, it overtook R on Kaggle, the premier platform for data science competitions.    In 2017, it overtook R on KDNuggets's annual poll of data scientists' most used tools.    In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals. Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it's nice to know that employment opportunities are abundant (and growing) as well. What is the difference between Data Mining, Machine Learning, and Deep Learning?Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge-and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning...

5. Logistic Regression for Classification using Julia

This guided project is about book genre classification using logistic regression in Julia. It is ideal for beginners who do not know what logistic regression is because this project explains these concepts in simple terms. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special features: 1) Simple explanations of important concepts. 2) Use of images to aid in explanation. 3) Use a real world dataset. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions...

6. Logistic Regression and Prediction for Health Data

This course introduces learners to the analysis of binary/dichotomous outcomes. Learners will become familiar with fundamental tests for two-group comparisons and statistical inference plus prediction more broadly using logistic regression. They will understand the connection between prevalence, risk ratios, and odds ratios. By the end of this course, learners will be able to understand how binary outcomes arise, how to use R to compare proportions between two groups, how to fit logistic regressions in R, how to make predictions using logistic regression, and how to assess the quality of these predictions. All concepts taught in this course will be covered with multiple modalities: slide-based lectures, guided coding practice with the instructor, and independent but structured exercises...

7. Predictive Modeling with Logistic Regression using SAS

This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets. You learn to use logistic regression to model an individual's behavior as a function of known inputs, create effect plots and odds ratio plots, handle missing data values, and tackle multicollinearity in your predictors. You also learn to assess model performance and compare models...

8. Logistics Management: International Transport & Shipping

4.6

(1,665)

This practical, beginners course prepares you with the fundamentals of Logistics Management & International Trade: specifically, your first freight / cargo transportation - international or domestic. Air, Sea or Land. This course is for importers / exporters, freight transporters, and the new or aspiring supply chain, inventory & operations manager. Also ideal for, Amazon FBA entrepreneurs, drop-shippers, small retail owners or private labellers. Take control of your logistics to have and impact and improve your business supply chain operations - be that in manufacturing, services, retail, wholesale, import/ export or arbitrage. Equip yourself to take a new leading role in your workplace - improving your industry knowledge and avoid some famous ways to screw up! Understand the fundamentals, then details of the essentials of making a freight shipment by sea, land or air, the core business trade-offs, essential terminology, documentation, tax, costs and timelines. Become the freight transport authority in your team - get that shipment made, relaxed, knowing that you've got things in hand! Course Sections:1. Introduction to International Transportation Logistics2. Overview Timeline of an Import Export Shipment and International Transport3. Your Cargo / Goods / Inventory - Essential you need to know to prepare for shipping4. Planning your Shipment - Air, Sea & Land5. Documentation - Essential Documents you need to know about6. 3rd Party Logistics & Freight Forwarders7. Costs - All the costs involved in an international shipment, calculations, templates and examples. 8. Conclusion9. Bonus Material - A selection of relevant videos from my courses on Inventory Management, Supply Chain Management, Operations Management & Lean OperationsGlobal logistics is an essential part of millions of businesses - big and small. But making your first shipment can be a very daunting prospect. Just like arriving at your new holiday destination, stepping out of the airport into a busy unfamiliar city; the options are huge, risks aplenty, with pitfalls and cons at every turn trying to stop you from having a great day out. You need some specific information to give you back your power: - A reliable guide of what you should do, things you should prepare, questions you need to ask, how to select who you do business with, what you should expect from your service, what "normal" looks like. Put yourself in the driving seat with confidence to start planning your own freight cargo shipment or take a leading role in your business's new logistic operations - importing, exporting or freight handling. In this course, you will learn: Overview of all the steps in an international freight shipment with typical timelines. Critical things to know about your cargo - So that you don't pay extra tax, get fined or delayed. Trade off of time vs money with different transport options. What is time spent in transit worth?Understanding quotes from transportation providers - actual, volumetric and chargeable weight. Incoterms - e. g., FOB, EXW, DDP - telling you what your shipping quote price actually includes. Containers and Pallets - How to choose if you should use your "own" container "FCL" - full container load or share with others "LCL". Things to know and prepare if palletizing. Documentation - Know your "commercial invoice" from your "packing list", your "certificate of conformity" from your MSDS… A small mistake here could be a big, costly delay.3rd Party Logistics providers / freight forwarders - What they are, what they do and how best to work with them. Costs - Plan for "all" the costs involved in making a shipment. Don't get caught out. Worked examples and use my cost template to predict your total cost and margin. Bonus Material - 8 Selected videos especially relevant to extend your knowledge on logistics from my other courses on Operations & Supply Management, Inventory Management and Lean Operations. Whether you work in retail, import/export, manufacturing production, distribution and logistics or as a supply chain service provider; nailing a full set of fundamentals in international logistics, transportation and freight shipping will let you play a key role in your business's success. Giving you a solid grasp of freight logistics & transportation, essential to be a valued member of your supply chain team or to be considered for a managerial position where greater levels of high-level understanding are required. Take control of your logistics and transportation and equip yourself with a solid base in Logistics Management; full of practical insights and essential knowledge that you can use right now to ensure your first shipment is a roaring success! Crack On!...

9. Logistic Regression in R Studio

4.7

(348)

You're looking for a complete Classification modeling course that teaches you everything you need to create a Classification model in R, right?You've found the right Classification modeling course covering logistic regression, LDA and kNN in R studio! After completing this course, you will be able to:· Identify the business problem which can be solved using Classification modeling techniques of Machine Learning.· Create different Classification modelling model in R and compare their performance.· Confidently practice, discuss and understand Machine Learning conceptsHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course. If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular Classification techniques of machine learning, such as Logistic Regression, Linear Discriminant Analysis and KNNWhy should you choose this course?This course covers all the steps that one should take while solving a business problem using classification techniques. Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i. e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business. What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this courseWe are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones: This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. What is covered in this course?This course teaches you all the steps of creating a classification model, to solve business problems. Below are the course contents of this course on Logistic Regression:· Section 1 - Basics of StatisticsThis section is divided into five different lectures starting from types of data then types of statistics then graphical representations to describe the data and then a lecture on measures of center like mean median and mode and lastly measures of dispersion like range and standard deviation· Section 2 - R basicThis section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R. · Section 3 - Introduction to Machine LearningIn this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.· Section 4 - Data Pre-processingIn this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important. We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation.· Section 5 - Classification ModelsThis section starts with Logistic regression and then covers Linear Discriminant Analysis and K-Nearest Neighbors. We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures. We also look at how to quantify models performance using confusion matrix, how categorical variables in the independent variables dataset are interpreted in the results, test-train split and how do we finally interpret the result to find out the answer to a business problem. By the end of this course, your confidence in creating a classification model in R will soar. You'll have a thorough understanding of how to use Classification modelling to create predictive models and solve business problems. Go ahead and click the enroll button, and I'll see you in lesson 1! CheersStart-Tech Academy------Below is a list of popular FAQs of students who want to start their Machine learning journey-What is Machine Learning?Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Which all classification techniques are taught in this course?In this course we learn both parametric and non-parametric classification techniques. The primary focus will be on the following three techniques: Logistic RegressionLinear Discriminant AnalysisK - Nearest Neighbors (KNN) How much time does it take to learn Classification techniques of machine learning?Classification is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn classification starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of classification. What are the steps I should follow to be able to build a Machine Learning model?You can divide your learning process into 3 parts: Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part. Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning modelProgramming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in PythonUnderstanding of  models - Fifth and sixth section cover Classification models and with each theory lecture comes a corresponding practical lecture where we actually run each query with you. Why use R for Machine Learning?Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Machine learning in R 1. It's a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it's not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing. 2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind. 3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science. 4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it's easy to find answers to questions and community guidance as you work your way through projects in R. 5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier - and of course, it'll also make you a more flexible and marketable employee when you're looking for jobs in data science. What is the difference between Data Mining, Machine Learning, and Deep Learning?Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge-and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning...

10. Logistics Optimization with Excel Solver

4.4

(598)

Logistics Management is typically concerned with managing the flow of products across the supply chain efficiently and effectively. The task of planning and managing such flow is critical if the company is to compete in the marketplace. Transportation is one of the critical key activities of logistics and it constitutes a large proportion of the logistics cost. Almost every company deals in some way or another with transporting its products from where they are made to where they are consumed. Linear Programming is a commonly used model in management science and it has a wide range of applications in many different areas of business management. In this course, you will learn how to apply the linear programming techniques to optimize logistics flows across the supply chain network using the Excel Solver Add-in.  We will start from the very basic definition of Linear Programming, how to formulate and solve Linear Programming models, and subsequently we will extend what we have learned to step-by-step solve and optimize more complex logistics problems. You will be introduced to three critical issues in Logistics Management and Distribution Planning: Transportation Problem, Transshipment Problem, Production and Inventory Scheduling Problem.  You'll also have the opportunity to test your knowledge with the additional worksheets, exercises and the short quizzes provided in the course. On completion of this course, you will be very confident in modeling logistics problems into linear programs that can be optimized with Excel Solver. You will also be able to think structurally about the logistics problems and come up with sound business decisions...

11. Effective Business English for Logistics

4.4

(1,555)

This English for Logistics course is for people working in the logistics industry - whether in administration, management, warehousing or human resources. It's your go-to guide on effective communication with colleagues, clients, partners, shipping agents, customs brokers of freight forwarders. It's your independent guide to learn wherever you are, whenever you have time. And it's for non-native speakers of English with CEF B1 proficiency. You'll get warm-up exercises, practical exercises, listening exercises, industry-specific texts, newspaper articles, case-studies, photos, illustrations, film clips and more. Every activity is designed to activate your learning and language development across all senses, and increase your skills in effective English communication. You can communicate with other learners via the Discussion Board, contact me directly for specific questions or concerns, and be part of an interactive, global community of logistics professionals. Let's get cracking...

12. Supply Chain Fundamentals: Logistic & Transportation

4.5

(577)

Future Proof your skill sets today! Learn about Supply Chain Logistics, Warehouse, and Transportation and apply what you learn to any ERP or IT systems (For example SAP, Oracle, Ortec, JDA, etc). I have also included a end to end demonstration of the process in SAP ERP to show how it all is applied. Improve your knowledge of Supply Chain Logistics, Warehouse, and Transportation. For example, how inbound and outbound transports can be linked? Or the different picking strategy for your warehouse? Or what is allocation? In this course we will explain all of this concepts (and more)  in simple, easy to understand videos. This course covers the core concept and business context exclusively in the area of logistic and transportation and its application to a IT or ERP system. In this course you will be presented with the end to end process of Supply Chain logistics and transportation including the key points of integration. This is usually the role of a SCM Solution Architect or SCM managment consultant and takes years of experience to master. This course represents over 25 years of industrial knowledge, all made simple and easy to understand. This course will cover Supply Chain core topics such as: Understand how business policy drives logistic and transportation SCM capabilitiesUnderstand how to convert business policy to SCM capabilityHow to design and use Key Performance Indicators as to support SCM capabilitiesThis course also covers practical topics such as Inbound deliveries, and when it the right time to use themLogistic & Transport key points in the Order to Cash processLogistic & Transport key points in the Procedure to PayWarehouse: Putaway, Picking and PackingPacking as a shipping unit  What is transportation and how they are to be optimisedTransport freight pricingUsing Stock Transport OrdersManufacturing, toll manufacturing and  SubcontractingThe course also includes a real life business case to test your knowledge and understanding of the course. 2023: Added topic on Letter of credit and International Trade...

13. Binary Logistic Regression with Minitab

4.7

(50)

In this course, I will teach you one of the most commonly used classification techniques in data science, machine learning and statistics and that is: Binary Logistic Regression. A binomial logistic regression is used to predict the binary output (yes/no, true/false, sick/healthy) based on one or more continuous independent variables. It is often referred to as logistic regression. However, in Minitab, it is called binary logistic regression. I will use Minitab 19 to perform the analysis. The focus of my teaching will be on explaining the theoretical concepts and on analyzing and interpreting the results of the analysis. Performing Binary Logistic Regression in Minitab is easy. It is just a few selections and clicks and you are done with it. However, the difficult part is understanding and interpreting the results. The following concepts are covered in this course: The purpose of Binary Logistic RegressionThe concept of Odds and ln(Odds)Logistic Regression EquationOdds RatioConfusion MatrixReceiver Operating Characteristic (ROC) CurveR-Squared in context of Logistic RegressionHosmer-Lemeshow Goodness of Fit TestProject work to practice all the above conceptsIn the project work, marketers at a cereal company investigate the effectiveness of an ad campaign for a new cereal. Three factors considered in this project are the income, whether the person has seen the advertisement and whether the person has kids in the house. Here we performed binary logistic regression to determine whether people who saw the ad are more likely to buy the cereal. After completing this course, you will be easily able to perform the logistic regression, select the model...

14. Management of Maritime Shipping and Logistics.

4.7

(73)

This course has been prepared to provide insightful information and education materials for anyone interested in commercial shipping and the maritime logistics supply chain. There are useful details about ship management and how finances are raised for the purchase of ships. Shipbroking and chartering is adequately addressed in the course, and information is available for anyone keen on becoming a shipbroker, or aspiring to be any one of the different types of agents. If your ambition is to a freight forwarder, then there is enough information to kickstart you career as one. The different types of Bill of Lading is sufficiently described for easy understanding. Incoterms 2020 is vital for anybody who intends to engage in foreign trade, either as a buyer or seller. This is why the eleven commercial terms are identified and elaborated on with materials provided to give clear guidance on buyer's and seller's rights and liabilities. The lecture on cargo transportation lets you know how goods are packaged and arranged as cargoes using different means to take them from point of origin to destination. Do you want to pay for and ship cargo from outside your country? Then you are enrolling in the right course that will provide details on the different types of forex transactions available to you. You will also get crucial information about the methods of payment in international trade. The maritime industry as a whole has several private and governmental organisations. The various associations and agencies are identified and the important roles they play to protect common interests, provide training and certifications, and enact regulations for international implementation. The details of who these bodies and what they do are adequately provided...

15. International Logistics & Transportation in Supply Chain.

4.5

(2,446)

This Course will prove to be a boon to you and help you boost your supply chain and logistics management knowledge. Its a base for Inventory Movement and is ideal for Amazon FBA, Drop Shipping, Outsourcing , Retail business owners, Inventory, Logistics and Supply Chain Manager as it is prepared with focus on practical knowledge which you can use in you day to day work as the instructor himself is a Supply Chain and Logistics Management professional managing Shipping, Freight Forwarding, Surface Transport, Aviation Logistics for many exporters and importers.5 Key reasons to enroll this course1) This course has reached 180 countries and professionals in logistics and supply chain management have shown great interest and have request for more course on the said domain,2) About 29000 students have enrolled in over course in a short span making this course on logistics and supply chain a complete package for all those who desire to become Logistics and Supply Chain Management professionals3) Regular update the course is being updated on regular intervals to keep up with the standards of logistics and supply chain industry 4) We have received appreciation by our students with 50% five star ratings 5) You will be supported by the instructor in case if you have any doubts as soon as possible Why is Logistics Management and Supply Chain the Future The logistics and supply chain aspect is vital for any business in terms of supply of quality raw materials, efficient manufacturing process, as well as tracking, transport and storage of the finished goods. Companies implementing well-designed supply chain practices are able to meet consumer needs in a more expeditious and timely manner. Logistics & Supply chain digitization is the process of using the latest tech solutions together with other physical and digital assets to redesign logistics practices. This way, they can adjust better to the fast-paced, highly competitive, omni-channel business environment. Why is Logistics Management and Supply Chain Management a good career?Job opportunities for Supply chain and Logistics Management are projected to grow by a whopping 22 percent between 2012 and 2022. This is significantly faster than the average rate for all other occupations. With this growth comes job security, along with the possibility of increased compensation due to the in demand status of professionals in this field. While the median annual wage for  Supply Chain and Logistics Management  profession is $72,780, top earners can make upwards of $112,000. By the end of this you will complete understanding of the Business of Logistics Management in Supply Chain , from a day to day operational point of view. The Modules in this course are 1) Introductory video to the  Supply Chain and Logistics Management 2)Understanding the meaning of Export and Import of Inventory before kick starting the  Supply Chain and Logistics Management  Modules3)How to organize a shipment and its importance in  Supply Chain and Logistics Management 4)Learning about International commerce terms rule for export, import and logistics of Inventory5)The Importance and the role of Freight forwarder in Logistics movement and Supply chain of inventory6)Calculation in Logistics Management i. What is FCL vs LCL in Logistics Management ii. Real life example of Cotton vs Iron for Volume Calculation of cargo and Why one should know volume calculation in Logistics Managementiii. Calculation in LCL and Air Logistics Management(Aviation Logistics and Supply Chain)iv. Case Study to understand Logistics Management and Supply chain better v. LCL vs Air Freight which is better in Logistics Management solution for Inventory transportvi. Comparing freight rate on different Logistics carriers for competitive freight rates with real examplevii. Documents involved in Logistics Management and Shipping of Inventoryviii. Managing Risk in Logistics and Supply Chain of good by Cargo (Inventory) insurance and Calculating cargo insurance ix. Harmonized Code and Custom Duty for Export and Import of cargo and Logistics service providersx. Bonus Lecture for next step towards Logistics Management and Supply Chain At the end of this course the students will understand which is the Best Mode of Transport for Exporting and Importation of Inventory for said value and dimension as they will learn about Freight Calculation in Logistics , Volume Calculation of Cargo(Inventory) , How to Save Cost in Logistics and Supply Chain Management, INCOTERMS, The Impact of Incoterms on Invoice value of Cargo, The Role of Freight Forwarder cum Custom Broker in Logistics and Supply Chain, Harmonized system code (H. S Code) for Calculation of Custom Import Duty, Cargo Insurance to avoid loss due to catastrophe and piracy, Whom and why to consult before placing an order, Selection of Transport mode in emergency or high valued cargo and Charge wise study of  Logistics chain...

16. Sap S4 Hana Simple Logistics Training

4

(58)

SAP S4 HANA SIMPLE LOGISTICS Training with 1909 Practise test - C TS450 1909S/4 HANA enterprise management tool for sales and distribution, planning the production, managing materials in the domain of logistics. Along with that you will also master the SAP modules as part of SAP S/4 HANA that constitutes the complete business suite to get a faster, simpler and efficient process to logistics and supply chain management through real world scenarios. SAP S/4 HANA Simple Logistics is a one stop solution for new-age material management, production planning, supply chain management, as well as sales and distribution of organizations with medium to large infrastructure. As a matter of fact these areas are core areas of business administration, SAP S/4 HANA Simple Logistics Training covers all these areas for offering all its recipients a concrete and comprehensive view of following business management areas like order procurement, inventory management, production planning and proper execution, assuring availability of products, management of product's life cycle, monitoring and implementing maintenance management, and complete care and implementation of quality management. Sap S/4 HANA Simple Logistics is also known as SAP S4 HANA enterprise management that includes SAP modules like finance but also other modules like SAP MM, SAP SD, etc. in this competitive scenario, organizations need to analyse the available data and act on information that can improve efficiency, and Sap S/4 HANA Simple Logistics helps you do that. The SAP Simple Logistics training aims to generate instant value across the entire spectrum of logistics. SAP S/4's ability to process data with optimal simplicity and sophistication delivers tangible results in the areas of material management, production planning supply chain management, and sales and marketing services. of distribution. SAP Simple Logistics uses the capabilities of SAP S/4 to process data faster, addressing many supply chain and logistics challenges...

17. SAP MM Logistics Invoice Verification Process

4.7

(78)

In this course, you will learn the business usage and the configuration data related to below topics. I provided testing also which will be helpful for both Consultants and End Users. The accounting entries are explained in detailed- Invoice Receipt-  Credit Memo -Subsequent Debit -Subsequent Credit -Evaluated Receipt Settlement-Invoice Print -Tax Code Creation...

18. Logistics, transportation and supply chain management

4.5

(618)

Hello, This course will allow you to have a big picture of the orchestration of logistics/transportation presenting the different means of transportation. This is my humble experience of 17 years as CEO of my company of export/import in China and Professor for several MBA business schools throughout the world. It means this is concrete and not purely theoretical but down to earth and practical! This course stands for the fruit of operational 17 years of real experience meaning thereby rich of many testimonies, tips and advice... We will cover a maximum of examples with simulations, case studies, and real testimonies. Therefore you will have at the end a maximum of operational tools and templates to use for your own business. Concretely what will you learn?1-How does it work? The big picture for logistics and transportation2-How to organize/manage a shipment from A to Z3-How to define the responsibilities through Incoterms4-How to calculate the costs per type of transportation5-How to manage the key documents for exporting/importingNB: This course can be seen as the part of the big picture International Trade Import and Export which includes 3 other courses of mine;1-Prospection and negotiation2-Sourcing and buying/purchasing3-Production follow-up and quality assurance4-Transportation and logisticsNB: In addition to that, as a kind of bonus and for free, I share with you my YouTube channelJust type "Aurelien Millot Master Key(s)" you will find it. It is for opening your mind, discovering new perspectives of life in general for those who are on a certain quest for the meaning of life… Who knows! A word to the wise?Wishing you a nice journey with this course, of course! AM...

19. INCOTERMS®: Transportation Importation & Logistic management

4.8

(61)

Guide to International Commercial Terms In International TradeIn the international sale of goods, there is a customary usage of special trade terms. The problem with these terms is that they end up having different meaning in different countries with respect to obligation of the seller and the buyer. In an effort to help avoid misunderstanding between the parties to these contracts as well as promote uniformity in law, the International Chamber of Commerce (ICC) has published INCOTERMS®. Contracts for the international sale of goods should indicate the terms of sale, preferable with one of the 11 incoterms. Remember incoterms are only applicable in contracts of international sale of goods if the parties have incorporated then into their contracts. Sales contracts involving goods that are not shipped under negotiable marine bill of lading should also specify when (time and place) and/or how ownership passes from seller to buyerIs it possible to conduct international transactions without all these?Often international transactions are conducted without the benefit of an international sales contract. What happens is, the seller provides a quotation (which can be in the form of pro-forma invoice), the buyer responds to this with a purchase order. In most cases this is sufficient to end up with repeat sales between the parties who are well acquainted and have developed a basis for their dealings. The problem with this arrangement is that when problems in the form of unanticipated disputes occur, the parties get stuck. Hence the need for incoterms...