Logistics courses in London. Find courses in. Search results. Manual Handling Instructor Training (London) , construction, distribution and logistics , the aim of this two day programme is to develop training skills in manual handling. It will enable delegates to deliver induction and mandatory training bespoke to your organisation based on current best practice. Health & Safety at Work LegislationManual. Supply Chain Management (London) There are no prerequisites. • Purchasing and Procurement • Logistics • Distribution • Production • Engineering • Sales • Marketing • Finance. Estimating and Risk Management. This workshop not only helps students become more proficient at estimating the parameters of a project’s time, cost and performance, but demonstrates the most effective methods of identifying and quantifying risks as well. Course Outline Introduction Overview Workshop Logistics Workshop Materials. Post Brexit Planning. Europe and within Securing the Supply Chain Evaluating transport & logistics issuesSourcing implicationsMinimising delay and uncertaintyAuthorised Economic Operator (AEO)Supplier contracts Planning and preparation for exporters and importers Risk analysisChecklist of factors to considerRisk. Event management: an introduction - CPD accredited. Learn the essentials of Event management in just one day. - identify your audience and get press coveragediversity - best practice for accessibility and moreevent logistics - layouts, venues, catering and what to do if something goes wrong!follow up - thanking attendees and your teamevaluating the process and the effect This will be an enjoyable. Certified Meeting Professional CMP - 1 week. based on event design and according to selection criteria. Design Site Layout Develop site maps and floorplans according to event design and requirements to achieve event goals and objectives. Manage Meeting or Event Site Create logistics plan for site setup, operation, and takedown using event design. Advanced BI for Information Workers using SQL Server OLAP and Data Mining. Classification (Clustering)Classification (Naïve Bayes, Decision Trees, Logistic Regression and Neural Networks)Association (Market Basket Analysis)Time SeriesOutlier Detection Building and training data mining modelsInterpreting Data Mining models using the model viewersValidating Data Mining results. Data Science with Base SAS and SAS Enterprise Miner. – Creating Models with Regression Technique Explain the relationship between target variable and regression techniqueExplain linear regressionExplain logistic regression (Logit link function, maximum likelihood)Explain the impact of missing values on regression modelsSelect inputs for regression models.
Комментариев нет:
Отправить комментарий