Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Hands-on Predicitive Analytics with Python (TTPS4879) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
About Course Inventory Control Masterclass: Learn the skills of Inventory Control and streamline Inventory Management Master efficient Inventory Control for Business Success with our Inventory Control Masterclass. This comprehensive course provides a deep dive into the world of inventory management. Correspondingly, it equips you with the essential knowledge and skills to optimize stock levels, reduce costs, and streamline operations. Throughout this course, you will explore various modules designed to provide a holistic understanding of inventory control. You will begin by delving into the fundamentals, gaining insights into the importance of inventory control and its impact on overall business performance. Next, you will grasp the basic concepts of inventory control, learning how to strike the right balance between supply and demand. Understanding the critical role of supply chain management, you will discover how to synchronize inventory with the dynamic demands of your business. By mastering inventory forecasting and cost analysis techniques, you will be empowered to make informed decisions that drive profitability. Moreover, you will delve into inventory planning and management strategies, exploring effective ways to optimize stock levels while minimizing wastage. With a focus on technology, you will explore advanced inventory systems and cutting-edge technologies that can enhance operational efficiency. Additionally, you will gain insights into just-in-time management, warehouse management, and layout optimization to maximize space utilization and improve order fulfillment.Learning Outcomes Understand the basic concepts of Inventory Control Understand the role of Inventory Control and Management in Supply Chain How to plan and manage Inventory Warehouse Management By the end of this course, you will have developed a strong foundation in inventory control principles and practices. Are you a business owner grappling with inventory challenges? A manager striving to optimize your supply chain? Or maybe an aspiring supply chain professional eager to launch your career? No matter your role, this Inventory Control Masterclass has something for you. We'll equip you with the vital tools and strategies you need to achieve optimal inventory management. What Will You Learn? Understand the basic concepts of Inventory Control Understand the role of Inventory Control and Management in Supply Chain How to plan and manage Inventory Warehouse Management Course Content Introduction to Inventory Control Introduction to Inventory Control Basic Concepts of Inventory Control Basic Concepts of Inventory Control Demand Forecasting and Inventory Control Supply Chain Management Supply Chain Management Inventory Forecasting & Cost Inventory Forecasting & Cost Inventory Planning & Managing Inventory Planning & Managing Inventory Systems and Technologies Inventory Systems and Technologies Introduction to Inventory Management Introduction to Inventory Management Just-in-time Management Just-in-time Management Warehouse Management and Layout Optimization Warehouse Management and Layout Optimization Warehouse Management System Warehouse Management System A course by Xpert Learning RequirementsBasic understanding of business operations and supply chain concepts. Audience Inventory Managers: Individuals responsible for overseeing and managing inventory within an organization. Supply Chain Professionals: Professionals involved in supply chain management who want to enhance their understanding of inventory management and its impact on overall operations. Warehouse Managers: Individuals responsible for warehouse operations and optimizing inventory levels. Restaurant Owners and Managers: Individuals in the restaurant industry who want to improve their inventory management practices and streamline operations. Stockroom Managers: Professionals in charge of stockroom operations and maintaining accurate inventory records. Audience Inventory Managers: Individuals responsible for overseeing and managing inventory within an organization. Supply Chain Professionals: Professionals involved in supply chain management who want to enhance their understanding of inventory management and its impact on overall operations. Warehouse Managers: Individuals responsible for warehouse operations and optimizing inventory levels. Restaurant Owners and Managers: Individuals in the restaurant industry who want to improve their inventory management practices and streamline operations. Stockroom Managers: Professionals in charge of stockroom operations and maintaining accurate inventory records.
The Marketing Manager Course is a wonderful learning opportunity for anyone who has a passion for this topic and is interested in enjoying a long career in the relevant industry. It's also for anyone who is already working in this field and looking to brush up their knowledge and boost their career with an acknowledged certificate. This Marketing Manager Course consists of several modules that take around 4 hours to complete. The course is accompanied by instructional videos, helpful illustrations, how-to instructions and advice. The course is offered online at a very affordable price. That gives you the ability to study at your own pace in the comfort of your home. You can access the modules from anywhere and from any device. Why Choose this Course? Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full tutor support on weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Method of Assessment To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Course Content Module 01: Understanding the Talk Understanding the Talk 00:11:00 Module 02: Getting Prepared to Make the Call Getting Prepared to Make the Call 00:08:00 Module 03: Creative Openings Creative Openings 00:08:00 Module 04: Making Your Pitch Making Your Pitch 00:11:00 Module 05: Handling Objections Handling Objections 00:10:00 Module 06: Sealing the Deal Sealing the Deal 00:11:00 Module 07: Following Up Following Up 00:14:00 Module 08: Setting Goals Setting Goals 00:10:00 Module 09: Managing Your Data Managing Your Data 00:10:00 Module 10: Using a Prospect Board Using a Prospect Board 00:11:00 Module 11: What is Marketing? What is Marketing 00:10:00 Module 12: Common Marketing Types (I) Common Marketing Types (I) 00:07:00 Module 13: Common Marketing Types (II) Common Marketing Types (II) 00:08:00 Module 14: The Marketing Mix The Marketing Mix 00:07:00 Module 15: Communicating the Right Way Communicating the Right Way 00:07:00 Module 16: Customer Communications Customer Communications 00:07:00 Module 17: Marketing Goals Marketing Goals 00:07:00 Module 18: The Marketing Funnel The Marketing Funnel 00:07:00 Module 19: Marketing Mistakes (I) Marketing Mistakes (I) 00:08:00 Module 20: Marketing Mistakes (II) Marketing Mistakes (II) 00:08:00 Mock Exam Mock Exam - Marketing Manager 00:20:00 Final Exam Final Exam - Marketing Manager 00:20:00 Assignment Assignment - Marketing Manager 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
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