10239 Communication courses

Duration 4 Days 24 CPD hours This course is intended for This is an intermediate course for individuals responsible for developing and implementing effective storage management techniques. Overview Establish a DFSMS configuration to automatically enforce your installation's storage management policies Convert service level requirements into appropriate parameters for data class, storage class, management class, and storage groups Create and test Automatic Class Selection (ACS) routines Convert volumes and move data to system-managed volumes with DFSMS Data Set Services (DFSMSdss) Specify appropriate management class and storage group parameters for DFSMS Hierarchical Storage Management (DFSMShsm) processing of system-managed data sets Plan to maintain your DFSMS environment using Naviquest Establish procedures to control, manage, and recover the storage management subsystem with ISMF and operator commands Develop a DFSMS implementation plan In this course you will learn how to plan and implement DFSMS and learn how to manage temporary and permanent data sets with an emphasis on disk storage. Course introduction and DFSMS overview Specify the storage administration functions that can be automatically performed by the system Identify the types of data set services that need to be established by negotiating service level agreements Correlate data set service requirements to the SMS configuration components: data class, storage class, management class, storage group, and automatic class selection routines Activating SMS Identify the functions eligible for exploitation with the installation of DFSMS Data Facility Product (DFSMSdfp) and the activation of SMS Create SMS control data sets Code SYS1.PARMLIB operands necessary to bring up SMS Create a minimal configuration Activate a configuration Writing ACS routines Identify the purpose of the ACS routines Develop an understanding of the statements Differentiate between literals and masks Describe the read variables available in the ACS routines Managing temporary data sets Create/alter storage classes and storage groups Identify steps to install and use the starter set Write ACS routines to handle temporary data sets Activate a system to manage temporary data sets Code commands to change volume/group SMS status Issue operator commands to display current status Exploiting DFSMS Describe the purpose of the data class Identify the features that the data class can exploit Create data sets using the space parameter Define Virtual Storage Access Method (VSAM) and volume attributes for data class Identify special data sets and their exploitation through the data class Managing permanent data sets Create/alter data classes, storage classes, management classes, and storage groups Translate current (DFSMShsm) service level agreements to management class parameters Identify alternatives and concerns for standard naming conventions Establish the controls for automatic backup of data sets Establish the controls for automatic volume dump Write ACS routines to manage permanent data Create a configuration that manages permanent data sets Create a new managed data set Identify function of storage class exit provided by Custom-Built Installation Process Offering (CBIPO) and resulting System Management Facility (SMF) records Using Naviquest Create test cases using Naviquest Perform storage administration tasks in batch Create online DFSMS reports Create model commands using Naviquest Use the COPYFILT macro Device preparation and data movement Initialize volumes as system-managed Move data into/out from system-managed control Convert volumes to/from system-managed Move data to utilize new hardware capabilities Controlling DFSMS Code commands to change SMS volume/group status Issue commands to save configurations and use alternate Active Control Data Set (ACDS) Issue command to use alternate Communication Data Set (COMMDS) Issue VARY SMS commands Communicate with the security administrator about storage management requirements Additional considerations Establish a plan for implementing SMS Locate sources of implementation planning checklists Identify the tools available to document the current system Identify multiple site considerations for recovery and exploitation Additional course details: Nexus Humans SS84 IBM DFSMS Implementation 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 SS84 IBM DFSMS Implementation 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.

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.

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Level 5 QLS Endorsed Course | 11-in-1 Bundle with Certificates | CPD Accredited | Lifetime Access | Tutor Support

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Dealing with Difficult People: Dealing with Difficult People Do you eagerly wait to enhance your skills in dealing with difficult people? If so, our Dealing with Difficult People course is designed for you to deal with difficult people at work. Our Dealing with Difficult People course has various modules to explain difficult people and their behaviours. How to communicate, solve problems and guide techniques are parts of this Dealing with Difficult People course. You also know how to effectively deal with bosses and colleagues are explained in the Dealing with Difficult People course. You will be able to make impossible situations possible with this Dealing with Difficult People course. Take the Dealing With Difficult People at Work course right now to advance your skills. Special Offers of this Dealing with Difficult People: Dealing with Difficult People Course This Dealing with Difficult People: Dealing with Difficult People Course includes a FREE PDF Certificate Lifetime access to this Dealing with Difficult People: Dealing with Difficult People Course Instant access to this Dealing with Difficult People: Dealing with Difficult People Course Get FREE Tutor Support to this Dealing with Difficult People: Dealing with Difficult People Course Dealing with Difficult People: Dealing with Difficult People The Dealing with Difficult People course is your go-to resource for mastering the art of handling challenging individuals. With carefully designed modules, this Dealing with Difficult People course dives deep into understanding difficult behaviors and how to effectively communicate and problem-solve in tough situations. Learn proven techniques to manage interactions with difficult bosses and colleagues through the Dealing with Difficult People course. By the end of this Dealing with Difficult People training, you'll have the confidence and strategies needed to turn seemingly impossible situations into manageable and even positive outcomes. Who is this course for? Dealing with Difficult People: Dealing with Difficult People This Dealing With Difficult People training is appropriate for anybody active in workplace communication, such as executive assistants, sales representatives, or customer service representatives. Requirements Dealing with Difficult People: Dealing with Difficult People To enrol in this Dealing with Difficult People: Dealing with Difficult People Course, students must fulfil the following requirements. To join in our Dealing with Difficult People: Dealing with Difficult People Course, you must have a strong command of the English language. To successfully complete our Dealing with Difficult People: Dealing with Difficult People Course, you must be vivacious and self driven. To complete our Dealing with Difficult People Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Course. Career path Dealing with Difficult People: Dealing with Difficult People The Dealing With Difficult People at Work course is intended to help you obtain the skills, knowledge, and career of your dreams!

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Personal Development: Personal Development Course Would you prefer to concentrate on your own development? Increased self-awareness, identity, knowledge, and desires are the goals of our Level 5 Personal Development course. With the help of this Level 5 Personal Development course, you may create a foundation for an effective organisational system. You can shape your personal development and corporate behaviour development throughout the Level 5 Personal Development course. Understanding body language and handling workplace stress are also covered in the Level 5 Personal Development course. Your research abilities, executive presence, and communication abilities will advance to new levels by the end of the Level 5 Personal Development course course. If you want to improve your emotional intelligence or self-esteem, enrol in this Level 5 Personal Development course! Main Course: Level 5 Personal Development Course Free Courses are including with this Personal Development: Personal Development Course Along with The Personal Development Course, We Offer a free Level 4 Time Management Course Along with The Personal Development Course, We Offer a free Anger Management Course Along with Personal Development Course, We Offer a free Dealing With Difficult People Course Special Offers of this Personal Development: Personal Development Course This Personal Development Course includes a FREE PDF Certificate. Lifetime access to this Personal Development Course Instant access to this Personal Development Course Get FREE Tutor Support to this Personal Development Course Personal Development: Personal Development Course The goal of personal development is to examine oneself and try to concentrate on ways to get better. Personal Development: A course in personal development raises one's sense of identity, self-awareness, knowledge, and desires. The domains of personal development are mental, social, spiritual, and emotional. There are many benefits to personal development. Personal Development: Although the course on personal development is difficult, the benefits will make the effort worthwhile. Who is this course for? Personal Development: Personal Development Course Those who desire to improve both personally and professionally are advised to take this Level 5 Personal Development course. Requirements Personal Development: Personal Development Course To enrol in this Personal Development: Personal Development Course, students must fulfil the following requirements. To join in our Personal Development: Personal Development Course, you must have a strong command of the English language. To successfully complete our Personal Development: Personal Development Course, you must be vivacious and self driven. To complete our Personal Development: Personal Development Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Personal Development: Personal Development Course. Career path Personal Development: Personal Development Course You could be able to explore a number of attractive employment prospects after completing this Level 5 Personal Development course, including coaching, mentoring, professional development, and many others.

If you aim to improve your proficiency in Construction Management, you're in the right spot. Our all-encompassing course is designed to help you achieve optimal results by gaining mastery in the skills required for Level 6 Advanced Diploma in Construction Management course. With our Level 6 Advanced Diploma in Construction Management, you can open the door to mastery and embark on a life-changing path that fully immerses students in the complex field of construction management. Explore the depths of an ever-changing field, where strategy and execution collide and every choice you make affects the outcome. Immerse yourself in the dynamic realm of Construction Management with our Level 6 Advanced Diploma, a comprehensive journey meticulously designed to sculpt your expertise in every facet of the construction process. Explore the intricacies of Project Life Cycles and Cost Management, master the art of Site Management, and delve into the complexities of Construction Procurement. Level 6 Advanced Diploma in Construction Management Course Learning Outcomes Learn the nuances of construction management success criteria and project life cycles. Gain experience in cost control to ensure effective use of resources. Gain a thorough understanding of organisation and site management. Develop your ability to efficiently design and handle construction equipment. Learn about construction procurement tactics and vendor analysis. Become an expert in construction management health and safety procedures. Level 6 Advanced Diploma in Construction Management Module 01: Introduction to Construction Management Module 02: Project Life Cycle and Success Module 03: Cost Management Module 04: Preliminary Site Investigation and Site Organisation Module 05: Site Management Module 06: Planning and Management of Equipment Module 07: Construction Materials Management Module 08: Vendor Analysis in Construction Management Module 09: Construction Procurement Module 10: Stock Control Module 11: Supply Chain Management Module 12: The Main Participators Module 13: Quality Assurance and Customer Care Module 14: Legal Aspects of Contracting Module 15: Human Resources Management Module 16: Risk and Value Management Module 17: Communications, Information and Documentation of Construction Module 18: Health and Safety in Construction Management Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for Free to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Who is this course for? Level 6 Advanced Diploma in Construction Management Construction Project Manager Site Manager Cost Analyst Procurement Specialist Construction Materials Manager Quality Assurance Coordinator Requirements Level 6 Advanced Diploma in Construction Management To enrol in this Level 6 Advanced Diploma in Construction Management course, all you need is a basic understanding of the English Language and an internet connection. Career path Construction Manager: Average Salary: £45,000 to £70,000 per year Project Manager (Construction): Average Salary: £40,000 to £60,000 per year Quantity Surveyor: Average Salary: £35,000 to £55,000 per year Site Engineer: Average Salary: £30,000 to £45,000 per year Building Information Modelling (BIM) Coordinator: Average Salary: £35,000 to £50,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - £9.99 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each