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CompTIA A+ 900 Certification is one of our best selling and most popular course. The CompTIA A+ 900 Certification is organised into 55 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 26 hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Why choose this course Earn an e-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 Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post.
Overview of Cognitive Behavioural Therapy Diploma Cognitive Behavioural Therapy (CBT) is a proven method for improving mental health. This course offers a clear introduction to CBT, making it easy to understand and apply. Many people today face challenges like anxiety and depression, and CBT provides practical tools to help manage these issues. Throughout the course, you will learn the key concepts of CBT and how to use various techniques. Each module builds on the last, guiding you through the process step by step. You will also see how CBT can support personal growth and aid children with autism. By the end of this course, you will feel confident using CBT strategies in your own life or helping others. Whether you're a caregiver or looking to enhance your skills, this course opens doors to valuable knowledge in mental health. Join us and take the first step toward making a positive impact. Become proficient in Cognitive Behavioural Therapy (CBT) by grasping all the essential knowledge from our top-quality course step by step. Enrol now to ensure that your Cognitive Behavioural Therapy (CBT) mastery is not limited to only conceptual frameworks! This Cognitive Behavioural Therapy (CBT) will assist you in standing out from the crowd and being more efficient in your chosen area of expertise. Furthermore, if you require assistance with the Cognitive Behavioural Therapy (CBT), we will provide experts who will support and guide you. So, add this Cognitive Behavioural Therapy (CBT) to your cart and boost your personal and career development. In this Cognitive Behavioural Therapy (CBT), you will: Sharpen your skills to help you advance your career. Acquire a comprehensive understanding of various related topics and tips from industry experts. Learn in-demand knowledge and skills in high demand among UK employers, which will help to kickstart your Cognitive Behavioural Therapy (CBT) career. Enrolling in the Cognitive Behavioural Therapy (CBT) can assist you in getting into your desired career faster than you ever imagined. So, without further ado, start now! Get a Quick Look at The Course Content: This Cognitive Behavioural Therapy Diploma will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Cognitive Behavioural Therapy Diploma. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Cognitive Behavioural Therapy Diploma course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Cognitive Behavioural Therapy Diploma is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Cognitive Behavioural Therapy Diploma course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Cognitive Behavioural Therapy Diploma Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Cognitive Behavioural Therapy Module 01: Getting Started with CBT 00:03:00 Module 02: CBT History 00:03:00 Module 03: Importance of Negative Thoughts 00:06:00 Module 04: Goal Setting 00:09:00 Module 05: Behavioural Activation 00:08:00 Module 06: Cognitive Restructuring 00:05:00 Module 07:Cognitive Restructuring: Step-by-step Plan 00:08:00 Module 08: Core Belief 00:02:00 Module 09: Changing Negative Belief 00:06:00 Module 10: Mindfulness-integrated CBT 00:05:00 Module 11: CBT in Procrastination 00:01:00 Module 12: CBT in Stress, Anxiety and Depression 00:03:00 Module 13: CBT in Fear and Phobias 00:02:00 Module 14: CBT in Panic Attacks 00:02:00 Module 15: CBT in Excessive Anger 00:02:00 Module 16: CBT in Eating Disorder 00:02:00 Module 17: CBT in Addiction 00:02:00
Learning Objectives Introduction , Interviewing Pitfalls , Before the Interview , During the Interview , After the Interview , Conclusion Pre-Requisites There are no prerequisites for this course. Description One of the most important decisions a company can make is hiring new employees. Good hiring decisions can make or break teams and can have a direct impact on a company's bottom line. Additionally, increasing diversity in hiring is about more than simple fair hiring practices. Research shows diverse teams make faster decisions and are more innovative. This class is designed to assist managers, supervisors, and HR staff in improving interviewing skills. Course Introduction Introduction 00:02:00 Section 01 Lesson 01: What is Unconscious Bias 00:05:00 Lesson 02: Overcoming Unconscious Bias 00:03:00 Section 02 Lesson 01: Creating the Job Description 00:03:00 Lesson 02: Planning the Questions 00:03:00 Lesson 03: Building a Scorecard 00:02:00 Lesson 04: Preparing for the Interview 00:02:00 Section 03 Lesson 01: Setting Candidates at Ease 00:01:00 Lesson 02: Conducting the Interview 00:03:00 Lesson 03: Selling the Job 00:02:00 Section 04 Lesson 01: Making the Big Decision 00:02:00 Course Recap Recap 00:01:00
Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts
Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Network Administrators Administrators interested in Automation Individuals interested in devops, specifically for networking Overview This course teaches students to blend Python skillsets with Ansible through the lens of automating networks. Automation techniques for the most popular vendor (incl. Cisco, Juniper, Arista) will be subjects of study, however, students may request examples from vendors within their own environments. Topics begin with a focus on automating networks with Python; this skill set is then folded into a broadening understanding of automating with Ansible. Students will have programmatic experience automating enterprise class networks by the conclusion of this course (includes writing custom Ansible modules with Python). Class is a combination of lecture, demonstration, and hands-on labs. Students are invited to share their own relevant Python and Ansible scripts with the instructor to ensure class subjects are as relevant as possible. All notes and scripts will be made available to students by the end of each day via a cloud-share or email. Lab time will be given reinforce that day's topics and demonstrations. No two networks are the same! Learn to automate your network with a Python and Ansible skillset. Course can be taught across all major (and most minor) network vendors. Course demonstrations can be adapted to best-fit the customer?s network to ensure all lessons have maximum relevance. Day 1 ? Critical Python Catchup & Review Overview of Python and Ansible Python white space rules & best practices Printing and more Printing Date types and Variables Packing and Unpacking Variables f Strings Conditional expressions Relational and Boolean operators Lists, Tuples, Dictionaries Indexing and slicing Built-in functions Iterating with Loops (for and while) Working with files Software Control Management (SCM) (Git, Github, Bitbucket, Cloudshare, etc.) Using Python to access REST interfaces Working with JSON Python, Ansible and Paramiko Using Paramiko to SSH with keys and passwords RESTful API review API keys Paramiko Review Using Paramiko to SFTP with keys and passwords Day 02 ? Python and Network Automation Introduction to Netmiko (automating routers and switches) Using Netmiko to send commands to / from network devices Working with YAML Converting JSON to YAML with Python Ansible keywords YAML and JSON for data exchange Ansible and YAML Ansible Playbook components Tying together Python and Ansible ? Using Python within Ansible Ansible Network Modules What is new in Ansible (most current updates / release notes) Network Agnostic modules Writing network playbooks Reviewing the construction of network playbooks Writing Ansible playbooks that respond to network failures Day 03 ? Blending Python and Ansible Skillsets Review how to use Python within Ansible Calling Python scripts with Ansible Jinja2 Templating Engine for Python (and Ansible) Using Templates in Ansible playbooks Jinja2 filters, looping, and other useful tricks for automating with Ansible Playbook tagging for selective runs When to use Python and when to use Ansible ?Big Picture? options for using Python & Ansible within your Network Ansible Roles Day 04 ? Customizing Ansible with Python Review ? Running Scripts with Ansible Prompting for Ansible user input Ansible Galaxy & Getting at Roles Writing a custom Ansible Module with Python Ansible ?Engine? vs Ansible ?Tower? ? marketing hype, capabilities, costs, etc. Case Study: Automate your Enterprise Network When to use Python and when to use Ansible Writing your own Ansible modules in Python ?Big Picture? options for using Python & Ansible within your Network Overview ? NETCONF / YANG and what they mean for Python and Ansible Molecule ? Testing your roles Additional course details: Nexus Humans Network Automation with Python and Ansible 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 Network Automation with Python and Ansible 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 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.