What will you learn in this course? Comprehend academic lectures, interviews, articles, and literature. Understand anything written or spoken. Summarise texts. Express yourselves spontaneously in all situations either simple or complex. The main topics to be covered in this course are: entertainment, tourism, travel, news, social & political issues, relationships, technology, philosophy, science, greek culture & history and much more...
This one hour CPD course covers the subject of assessments in IV sedation in dentistry. It is suitable for all members of the dental team and gives a broad overview and a framework in helping practitioners not only gauge the patients suitability for sedation, but also helps with assessing the difficulty of the upcoming sedation session. Preoperative sedation assessments (according to IACSD guidelines) are to be carried out by the sedation practitioner but with more practices using the services of visiting sedationists, it is useful to have this knowledge in order to screen the patients more effectively. This course is meant as an initial theory starter for assessments, it is not designed to fully train the practitioner. This course satisfies the GDC outcomes A and C. Completion of the course is via a quiz and feedback and a certificate is available on successful completion. Course Includes 6 Lessons 1 Quiz About Instructor Rob Endicott Rob Endicott is an IACSD accredited trainer and mentor and is the ViceChair of the ADAS (Association of Dental Anaesthetists and Sedationists). He is also the founder and CEO of UKSedation, a nationwide team of dental sedationists in primary private practice.
Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00
24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now! Strong leaders are the foundation of any successful business. A Leader can make or break a team, so enhancing or solidifying your leadership skills is crucial to being the best leader you can be. Around 49% of all employees in the UK at some point quit their jobs because of their lack of Leadership and management. With step-by-step instructions from our Leadership & Management Level 7 Advance Diploma, you will avoid all the mistakes that most managers/ leaders make and become an ideal leader who inspires, motivates & achieves goals by properly managing employees. This Advanced Diploma in Leadership & Management at QLS Level 7 course is endorsed by The Quality Licence Scheme & Accredited by CPD (with 250 CPD points) to make your skill development & career progression more accessible than ever! 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Leadership Management & Team Leader Level 7 Advanced Diploma Course Curriculum of Leadership Management & Team Leader Level 7 Advanced Diploma Leadership Management Module 01: Introduction to Leadership Management Leadership Management Module 02: Leadership Management Theories Leadership Management Module 03: Improving Leadership Performance Leadership Management Module 04: High-Performance Teams Leadership Management Module 05: Motivating Employees Leadership Management Module 06: Organisational Skills Leadership Management Module 07: Talent Acquisation Leadership Management Module 08: Succession Planning Leadership Management Module 09: Business Process Optimisation Leadership Management Module 10: Communication Skills Leadership Management Module 11: Negotiation Techniques Leadership Management Module 12: Managing Meetings and Giving Feedback Leadership Management Module 13: Managing Change Leadership Management Module 14: Time Management Leadership Management Module 15: Dealing with Stress Situations Leadership Management Module 16: Emotional Intelligence Leadership Management Module 17: Managing Conflict Leadership Management Module 18: Dealing with Office Politics Leadership Management Module 19: Risk Assessment Leadership Management Module 20: Corporate Responsibility and Ethics Leadership Management Module 21: Microsoft Word, Excel, PowerPoint CPD 320 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Leadership Management & Team Leader Level 7 Advanced Diploma For leaders and high potential managers to upgrade their capacity to deal with competence and lead for individual and organisational achievement. Entrepreneurs. Business owners. Anyone who wants to be a great leader. Requirements Our Leadership Management & Team Leader Level 7 Advanced Diploma course is open to all. Career path Our Leadership Management & Team Leader Level 7 Advanced Diploma course will open the door to opportunities. General Manager Director Human Resources Managers Operation Manager Supervisor Administrative Services Manager
One of the significant benefits of taking this Professional Event Management Diploma course is gaining the opportunity to learn the versatility of the skills for successfully organising events. Nowadays, almost every company needs events organised, whether it is for product launches, press conferences, business meetings which is why experienced event managers are in high demand. The purpose of this course is providing you with the edge while commencing a vocation in events management. Through multiple units of lessons, you will learn preparatory measures, planning and designing, venues and vendors, marketing strategies, and more. To sum up, this course will be ideal if you are about to start your own business and can immediately apply your new skills. We guarantee the skills you will learn from here are highly applicable and relevant in the industry. Who is this course for? Professional Event Management Diploma is suitable for anyone who wants to gain extensive knowledge, potential experience, and professional skills in the related field. This course is CPD accredited so you don't have to worry about the quality. Requirements Our Professional Event Management Diploma is open to all from all academic backgrounds and there is no specific requirements to attend this course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Introduction Introduction FREE 00:05:00 Why Vision 00:02:00 Concept 00:01:00 Goals 00:02:00 Innovation 00:02:00 Pitching 00:03:00 Feasibility 00:02:00 What Event Scope and Budget 00:02:00 Customers 00:02:00 Marketing Plan and Pricing 00:03:00 Communications Plan 00:03:00 Project Management Approach 00:03:00 Stakeholders 00:02:00 When When 00:04:00 Where Choosing a Venue 00:02:00 Spaces within a Venue 00:03:00 Accessibility and Community Impacts 00:02:00 How Event Plan 00:03:00 Planning Environment 00:02:00 Safety 00:02:00 Risk Management 00:02:00 Emergency Management 00:03:00 Checklists 00:02:00 Stakeholder Management 00:02:00 Communications 00:05:00 On the Day 00:02:00 Who Dot Planning 00:02:00 Recruitment 00:04:00 Event Suppliers 00:01:00 Roles and Responsibilities 00:02:00 Customers and Stakeholders 00:05:00 How Well Real Time Monitoring 00:02:00 Contingency Plan 00:02:00 Measuring Success and Process Review 00:03:00 Continual Improvement and Knowledge Transfer 00:02:00 All About You Characteristics of Great Event Managers 00:02:00 Organisation 00:04:00 Being Successful 00:02:00 Your Wellbeing 00:03:00 The Last Word The Last Word 00:03:00 Resources Resources - Professional Event Management Diploma 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00
Follow your dreams by enrolling on the Dog Grooming and Cleaning course today and develop the experience, skills and knowledge you need to enhance your professional development. Dog Grooming and Cleaning will help you arm yourself with the qualities you need to work towards your dream job. Study the Dog Grooming and Cleaning training course online with Janets through our online learning platform and take the first steps towards a successful long-term career. The Dog Grooming and Cleaning course will allow you to enhance your CV, impress potential employers, and stand out from the crowd. This Dog Grooming and Cleaning course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Receive online tutor support as you study the Dog Grooming and Cleaning course, to ensure you are supported every step of the way. Get a digital certificate as proof of your Dog Grooming and Cleaning course completion. Janets is one of the top online training course providers in the UK, and we want to make education accessible to everyone! Learn the essential skills you need to succeed and build a better future for yourself with the Dog Grooming and Cleaning course. The Dog Grooming and Cleaning course is designed by industry experts and is tailored to help you learn new skills with ease. The Dog Grooming and Cleaning is incredibly great value and allows you to study at your own pace. With full course access for one year, you can complete the Dog Grooming and Cleaning when it suits you. Access the Dog Grooming and Cleaning course modules from any internet-enabled device, including computers, tablets, and smartphones. The Dog Grooming and Cleaning course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the Dog Grooming and Cleaning now and start learning instantly! What You Get Out Of Studying Dog Grooming and Cleaning With Janets Free PDF certificate upon successful completion of the Dog Grooming and Cleaning Full one-year access to Dog Grooming and Cleaning Course materials Instant assessment results with the Dog Grooming and Cleaning No hidden fees with the Dog Grooming and Cleaning Full tutor support available from Monday to Friday with the Dog Grooming and Cleaning Study the Dog Grooming and Cleaning at your own pace Benefit from instant feedback through mock exams and multiple-choice assessments Gain a complete understanding of Dog Grooming and Cleaning Accessible, informative modules taught by expert instructors Get 24/7 help or advice from our email and live chat teams with the Dog Grooming and Cleaning Study the Dog Grooming and Cleaning in your own time through your computer, tablet or mobile device Improve your chance of gaining professional skills and better earning potential by completing the Dog Grooming and Cleaning Description The Dog Grooming and Cleaning training course is delivered through Janets' online learning platform. Access the Dog Grooming and Cleaning content from any internet-enabled device whenever or wherever you want to. The Dog Grooming and Cleaning course has no formal teaching deadlines, meaning you are free to complete the course at your own pace. Method of Assessment To successfully complete the Dog Grooming and Cleaning course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the Dog Grooming and Cleaning course. After successfully passing the Dog Grooming and Cleaning course exam, you will be able to apply for a CPD-accredited certificate as proof of your Dog Grooming and Cleaning qualification. Certification All students who successfully complete the Dog Grooming and Cleaning course can instantly download their digital certificate. You can also purchase a hard copy of the Dog Grooming and Cleaning course certificate, which will be delivered by post for £9.99. Who Is This Course For: The Dog Grooming and Cleaning is ideal for those who already work in this sector or are an aspiring professional. This Dog Grooming and Cleaning course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The Dog Grooming and Cleaning is open to all students and has no formal entry requirements. To study the Dog Grooming and Cleaning course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Career Path: The Dog Grooming and Cleaning is ideal for anyone who wants to pursue their dream career in a relevant industry. Learn the skills you need to boost your CV and go after the job you want. Complete the Dog Grooming and Cleaning and gain an industry-recognised qualification that will help you excel in finding your ideal job. Course Content Dog Grooming and Cleaning The History of Dog Grooming 00:15:00 Why Do We Groom? 00:15:00 Anatomy 00:15:00 Breed Groups and Coat Types 00:15:00 Equipment and Techniques 01:00:00 Keep Your Dog Healthy and Clean 01:00:00 Things to Look for Before you Groom a Dog 00:15:00 Pre-grooming and General Care 00:30:00 Preparation 00:30:00 Skin Conditions 01:00:00 How to Bathe Your Dog 00:15:00 How to Get Your Dog to Love Bath Time 00:15:00 Drying Your Dog After a Bath 00:15:00 Bathing and Drying: General Considerations 00:15:00 Grooming Details (Clipping, Scissors, Ears, Teeth, Feet, Bottoms) 00:30:00 Basic First Aid 01:00:00 Mock Exam Mock Exam - Dog Grooming and Cleaning 00:20:00 Final Exam Final Exam - Dog Grooming and Cleaning 00:20:00 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.
Duration 5 Days 30 CPD hours This course is intended for This course is intended for Experienced system administrators responsible for deploying and administering JBoss Enterprise Application Platform 6 in large-scale production environments. At least 2 years' experience as a JBoss Enterprise Application Platform administrator. Be a Red Hat Certified Specialist in Enterprise Application Server Administration on Enterprise Application Platform 6 (or later) or have equivalent experience . Overview Upon successful completion of this course, students will be able to provision and manage Red Hat JBoss Enterprise Application Platform 6 in large-scale production environments. This course empowers you to provision and manage Red Hat© JBoss© Enterprise Application Platform (JBoss EAP) in large-scale production environments. Intended for experienced administrators, this course will help you gain a deeper understanding of how to work with JBoss EAP by taking a closer look at installation, clustering, deployments, scripting, management, messaging, and security with a view towards building on the skills established in the Red Hat JBoss Application Administration I (JB248) course. 1 - INSTALLATION Given the proper installation media, perform Red Hat© JBoss© Enterprise Application Platform 6 installations that are repeatable, upgradeable, and silent. 2 - CLUSTERING Demonstrate a proficient knowledge of clustering components, their configuration, and application to clustered architectures. 3 - DEPLOYMENT Deploy an application in various types of production environments. 4 - SCRIPTING Script various configuration and management scenarios using command line interface (CLI). 5 - MANAGEMENT Use various tools to monitor and manage JBoss Enterprise Application Platform. 6 - MESSAGING Learn how to manage supported messaging systems. 7 - SECURITY Configure security settings that include authentication, authorization, networking, and the management interfaces. 8 - OVERVIEW OF JBOSS OPERATIONS NETWORK Learn the functionality of JBoss Operations Network and its use cases. Also learn how to install a JBoss Operations Network server, an agent, and agent plug-ins. 9 - MONITORING RESOURCES Learn how to use JBoss Operations Network to monitor managed resources, including defining alerts, baselines, and notifications Additional course details: Nexus Humans Red Hat JBoss Application Administration II (AD348) 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 Red Hat JBoss Application Administration II (AD348) 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 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. Additional course details: Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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 Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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 4.5 Days 27 CPD hours This course is intended for This is an intermediate course for experienced data professionals such as z/OS system programmers, who are responsible for the installation and maintenance of z/OS UNIX. Overview Execute the tasks required to prepare a z/OS installation for implementing z/OS UNIXExecute the tasks to install the z/OS UNIX software featuresUse the information provided in this class to perform the basic customization necessary to fully implement the z/OS UNIX kernel, the file system, the shell and utilities, and z/OS UNIX applicationsPut in place the RACF security required for z/OS UNIX resources and applicationsMake appropriate definitions for the activation of TCP/IP sockets by z/OS UNIXIdentify and use the processes and data required for monitoring and tuning the z/OS UNIX environment This course is designed to provide you with the skills required to install and customize z/OS UNIX (full name z/OS UNIX System Services), and to manage and monitor the z/OS UNIX environment. Day 1 Welcome Unit 1: z/OS UNIX implementation overview Unit 2: z/OS UNIX services initial installation Exercise 1: Move from default to full mode function Exercise 2: IPL in full function mode and enable a nonvolatile root HFS Unit 3: File system customization Day 2 Exercise 3: Customizing the file system Unit 4: Security customization Exercise 4: Defining and managing UNIX users, OMVS security Day 3 Unit 5: Shell customization Exercise 5: UNIX System Services and shell customization Unit 6: Customizing applications, daemons, and servers Exercise 6: UNIX processes Exercise 7: Access control list and enhanced ASCII support Day 4 Unit 7: File system management and system maintenance Exercise 8: Managing HFS and zFS data sets Unit 8: Managing z/OS UNIX operations Unit 9: Exploiting TCP/IP with z/OS UNIX Exercise 9: Managing z/OS UNIX Additional course details: Nexus Humans OP25 IBM z/OS UNIX System Services 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 OP25 IBM z/OS UNIX System Services 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.