1744 Environment courses in Cookstown delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for This course is intended for information technology (IT) professionals who need to improve their expertise in Windows Server 2016 in the area of storage and compute functionality. Overview After completing this course, you will be able to: Configure and install Windows Server 2016 Manage Server Core, server upgrade and migration strategy Understand storage options Manage partition table formats Manage basic and dynamic disks, file systems Manage virtual hard disks, and drive hardware Manage disks and volumes Select and manage proper storage solutions for a specific scenario Storage Spaces and Data Deduplication implementation Configure and Manage Microsoft Hyper-V, virtual machines and Hyper-V containers Configure disaster recovery technologies Manage and Configure failover clustering for Hyper-V virtual machines Configure, plan and implement a Network Load Balancing (NLB) Work with deployment images This course is intended for information technology (IT) professionals who have basic knowledge of Windows Server. It is designed for professionals who have primary responsibility of managing storage and computing by using Windows Server 2016. Professionals who need to understand the scenarios, requirements, and storage and compute options that are available and applicable to Windows Server 2016.This course covers content that was in retired Microsoft Course 20740. Module 1: Installing, upgrading, and migrating servers and workloads Introducing Windows Server 2016 Preparing and installing Server Core Preparing for upgrades and migrations Migrating server roles and workloads Windows Server activation models Module 2: Configuring local storage Managing disks in Windows Server Managing volumes in Windows Server Module 3: Implementing enterprise storage solutions Overview of DAS, NAS, and SANs Comparing Fibre Channel, iSCSI, and Fibre Channel over Ethernet Understanding iSNS, DCB, and MPIO Configuring sharing in Windows Server 2016 Module 4: Implementing Storage Spaces and Data Deduplication Implementing Storage Spaces Managing Storage Spaces Implementing Data Deduplication Module 5: Installing and configuring Hyper-V and virtual machines Overview of Hyper-V Installing Hyper-V Configuring storage on Hyper-V host servers Configuring networking on Hyper-V host servers Configuring Hyper-V virtual machines Managing virtual machines Module 6: Deploying and managing Windows and Hyper-V containers Overview of containers in Windows Server 2016 Preparing for containers Installing, configuring, and managing containers by using Docker Module 7: Overview of high availability and disaster recovery Defining levels of availability Planning high availability and disaster recovery solutions with Hyper-V virtual machines Backing up and restoring by using Windows Server Backup High Availability with failover clustering in Windows Server 2016 Module 8: Implementing failover clustering Planning a failover cluster Creating and configuring a new failover cluster Maintaining a failover cluster Troubleshooting a failover cluster Implementing site high availability with stretch clustering Module 9: Implementing failover clustering with Windows Server 2016 Hyper-V Overview of yhe integration of Hyper-V Server 2016 with failover clustering Implementing Hyper-V VMs on failover clusters Key features for VMs in a clustered environment Module 10: Implementing Network Load Balancing Overview of NLB Configuring an NLB cluster Planning an NLB implementation Module 11: Creating and managing deployment images Introduction to deployment images Creating and managing deployment images by using MDT Virtual machine environments for different workloads Module 12: Managing, monitoring, and maintaining virtual machine installations WSUS overview and deployment options Update management process with WSUS Overview of Windows PowerShell DSC Overview of Windows Server 2016 monitoring tools Using Performance Monitor Monitoring event logs Additional course details: Nexus Humans 55324 Installation, Storage and Compute with Windows Server 2016 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 55324 Installation, Storage and Compute with Windows Server 2016 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.

Course Overview The Teaching Assistant Level 2 course provides an essential foundation for those seeking to build a rewarding career in education support. This comprehensive programme covers the key responsibilities, skills, and knowledge required to assist in classroom settings effectively. Learners will explore a range of topics including child development, SEN support, behaviour management, curriculum understanding, and the role of technology in education. By completing this course, individuals will develop the confidence to work alongside teachers, support diverse learning needs, and foster positive learning environments. The course also highlights career progression opportunities within the education sector, offering valuable insights into future pathways. Whether you are starting out or looking to enhance your current role, this course provides practical knowledge and industry-relevant skills to help you succeed as a Teaching Assistant and contribute meaningfully to pupil achievement and school success. Course Description The Teaching Assistant Level 2 course offers a structured exploration of the duties and expectations placed on modern Teaching Assistants. Learners will gain in-depth knowledge of school operations, safeguarding policies, behaviour management strategies, and methods for supporting literacy, numeracy, and ICT development. The programme places special emphasis on understanding special educational needs (SEN) and nurturing strong communication with students and colleagues. Participants will also examine how to create inclusive learning environments that encourage student participation and success. Designed to enhance both theoretical understanding and workplace readiness, this course equips learners with the tools needed to support teachers, manage small groups, and assist in delivering high-quality education. With a strong focus on professional development and career advancement, this course serves as a stepping stone towards a fulfilling role in educational settings across the UK. Course Modules Module 01: Teaching Assistant Overview Module 02: Professional Developments for a TA Module 03: Working with the School and Its Policies Module 04: Discussion on Curriculum, Assessment and Monitoring Module 05: Providing the Best Learning Environment Module 06: Learn to Implement ICT, Literacy and Numeracy Development Processes as a TA Module 07: Child Development and the SEN Support Module 08: Understanding Behaviour & Relationships as a TA Module 09: Experienced TAs Maintain Strong Communications with the Students Module 10: Career Prospects for TAs in the UK (See full curriculum) Who is this course for? Individuals seeking to begin a career as a Teaching Assistant. Professionals aiming to enhance their educational support skills. Beginners with an interest in working within school environments. Those looking to support children’s academic and personal development. Career changers wanting to transition into the education sector. Career Path Teaching Assistant Learning Support Assistant Special Educational Needs (SEN) Support Worker Classroom Support Worker Behaviour Support Assistant Early Years Teaching Assistant

Course Overview The Mental Health Awareness Diploma offers a comprehensive exploration into the complexities of mental health, equipping learners with essential knowledge to better understand mental health issues across various stages of life. This course highlights common mental illnesses, treatments, and the societal perspectives surrounding mental health. Learners will gain a deeper appreciation of the importance of early intervention, support strategies, and the role of mental health legislation. Through studying a broad range of topics, participants will develop a heightened awareness of the challenges faced by individuals experiencing mental health conditions. By the end of the programme, learners will have a well-rounded understanding that can be applied across personal, educational, or professional settings. This course is ideal for anyone looking to foster a supportive environment within communities or workplaces, promoting wellbeing and inclusivity. Upon successful completion, learners will possess a foundation that encourages compassionate engagement with mental health issues. Course Description The Mental Health Awareness Diploma delves into key areas such as psychiatric and genetic disorders, stress, anxiety, schizophrenia, personality and mood disorders, as well as eating and sleeping disorders. The course also addresses sensitive topics like self-harm and suicide, while highlighting therapeutic interventions and medication options. Learners will explore how social attitudes, legislation, and workplace environments influence mental health care and stigma. The structured modules ensure an accessible and supportive learning journey, promoting critical thinking and empathetic understanding. Students will enhance their awareness of early signs, risk factors, and appropriate responses to mental health issues. Designed to strengthen both personal insight and professional capability, this course provides a valuable framework for contributing positively within educational, healthcare, or corporate settings. The Mental Health Awareness Diploma stands as an informative and enriching pathway for those committed to promoting mental wellness and inclusivity in their communities and professions. Course Modules Module 01: Introduction to Mental Health Module 02: Childhood and Adolescent Psychiatric and Genetic Disorders Module 03: Stress and Anxiety Disorders Module 04: Schizophrenia Module 05: Personality Disorders Module 06: Mood Disorders Module 07: Eating and Sleeping Disorders Module 08: Self-Harm and Suicide Module 09: Medication and Therapy in the Treatment of Mental Illness Module 10: Social Attitudes To Mental Illness Module 11: Mental Health Legislation and Services Module 12: Mental Health In The Workplace (See full curriculum) Who is this course for? Individuals seeking to enhance their understanding of mental health and wellbeing. Professionals aiming to improve mental health awareness within their organisations or roles. Beginners with an interest in psychology, counselling, or community care. Anyone committed to promoting inclusivity and supporting mental health initiatives. Career Path Mental Health Support Worker Counselling Assistant Human Resources and Wellbeing Officer Social Care Worker Educational Support Assistant Community Outreach Coordinator Youth Worker specialising in Mental Health Mental Health Advocate

Developing a solid foundation in Greek grammar will help you create your own sentences correctly and will also make it easier to improve your communication skills in both spoken and written Greek. So this course has been designed to help you steadily advance with the Greek language. Here, on the Greek Online School Learning Management System (LMS) you will find all the grammar phenomena that you need to know for the A2 Level (basic knowledge) in Greek, the language that influenced all European languages.

Course Overview The Restaurant Management Level 3 course offers a comprehensive exploration of the skills and strategies required to successfully manage a restaurant. Covering key areas such as menu planning, staff recruitment, financial management, and customer relations, this course prepares learners to navigate the dynamic restaurant industry with confidence. Whether aspiring to open a new venue or improve existing operations, learners will gain valuable insights into creating efficient layouts, maintaining safety standards, managing inventory, and implementing effective marketing strategies. The course blends theoretical knowledge with real-world industry standards, equipping participants to handle the complexities of restaurant management. By completing this course, learners will be able to develop structured plans for running a successful restaurant, cultivate a strong team culture, and deliver exceptional customer experiences. This qualification provides a valuable stepping stone towards achieving career goals in the vibrant hospitality sector. Course Description The Restaurant Management Level 3 course delves into the essential elements that underpin a thriving restaurant business. Topics covered include restaurant selection and set-up, legal and health regulations, drinks and food management, technology integration, financial planning, staff training, and customer engagement. Learners will explore how to create compelling menus, implement inventory systems, and foster teamwork within a restaurant environment. Emphasis is placed on strategic decision-making, operational efficiency, and building a reputable brand image. The course is structured to support learners in developing managerial skills, with a strong focus on leadership, communication, and customer satisfaction. Designed for those seeking a detailed understanding of the restaurant business, this programme empowers learners with the knowledge needed to excel in both operational and supervisory roles. Upon completion, learners will possess the expertise to contribute significantly to any restaurant’s success or embark on entrepreneurial ventures in the food and hospitality industry. Course Modules Module 01: An Overview of the Restaurant Industry Module 02: Choosing Your Restaurant Module 03: Restaurant Layout Management and Legal Requirements Module 04: Menu Planning Module 05: Drinks Management Module 06: Purchasing, Receiving, Inventory, and Storage Module 07: Financing Your Business Module 08: Finding, Recruiting, and Training Employees Module 09: Running a Safe and Clean Restaurant Module 10: Handling Service Using Technology Module 11: Teamwork and Daily Routine of a Restaurant Module 12: Customer Relations and Marketing Policy (See full curriculum) Who is this course for? Individuals seeking to pursue a career in restaurant management. Professionals aiming to enhance their leadership skills within the hospitality industry. Beginners with an interest in understanding restaurant operations. Entrepreneurs planning to open or manage a restaurant business. Hospitality staff looking to transition into management roles. Career Path Restaurant Manager Assistant Restaurant Manager Hospitality Supervisor Food and Beverage Manager Front of House Manager Catering Manager Restaurant Owner or Entrepreneur Operations Manager in Hospitality Businesses

Duration 2 Days 12 CPD hours This course is intended for Solutions architects, Software engineers, Operations leads, and IT project managers. Overview Recognize the common business and technical drivers for migrating to the cloud Summarize the three phases of a migration and associated objectives, tasks, and stakeholders for each Describe AWS architecture, tools, and migration best practices Distinguish between the various cloud migration strategies and when each is most appropriate Determine an organization?s application migration readiness Discover a portfolio and gather data necessary for migration Plan and design an application migration strategy Perform and validate application migration to the cloud Optimize applications and operations after migrating to the cloud This course is for individuals who seek an understanding of how to plan and migrate existing workloads to the AWS Cloud. You will learn about various cloud migration strategies and how to apply each step of the migration process, including portfolio discovery, application migration planning and design, conducting a migration, and post-migration validation and application optimization. Hands-on labs reinforce learning, and each lab is designed to provide you with the understanding and foundation necessary to complete migration tasks in your organization. Prerequisites We recommend that attendees of this course have: Familiarity with enterprise IT infrastructure (hardware and software) Completed the AWS Technical Essentials or Architecting on AWS training 1 - What Is a Cloud Migration? Summarize the drivers and desired outcomes of a cloud migration Identify the elements of a successful migration journey Describe the three-phase AWS migration process 2 - Assessing Migration Readiness Summarize the activities and goals of the assess phase Evaluate tools for assessing your organization?s cloud readiness Describe Migration Readiness Assessments (MRAs) and their importance 3 - Preparing for a Migration and Understanding Related Workstreams Summarize the mobilize phase of the process Discuss the eight unique migration-related workstreams 4 - Discovering Landing Zones and Their Benefits Explain the function of a landing zone Discuss best practices for creating a custom landing zone Describe how you would use AWS Control Tower to create a landing zone 5 - Building a Landing Zone Summarize the process of building a landing zone Determine the best multi-account structure, governance policies, and connectivity plan for a landing zone 6 - Discovering the Portfolio and Understanding Migration Strategies Explain the activities of the detailed portfolio discovery workstream Describe how to assess an application?s migration readiness Summarize the seven migration strategies 7 - Understanding and Choosing Portfolio Discovery Tools Summarize the various discovery tools available Distinguish which tools are best to use based on scenario 8 - Planning and Designing a Migration Describe the planning and design process Summarize how to set up a migration factory Choose and finalize an application migration strategy 9 - Performing the Migration to AWS Explain the server migration process Discuss the various migration automation and governance tools available Evaluate server migration tools for compatibility with your environment 10 - Understanding Database and Data Migration Services Summarize the significance of database and data migration Discuss the various data migration tools available 11 - Understanding Additional Migration Support Options Discuss additional migration support options Summarize AWS Managed Services and AWS Marketplace Describe SAP on AWS and services offered for Windows 12 - Integrating, Validating, and Cutting Over Applications Discuss the process and benefits of integrating, validating, and cutting over applications 13 - Modernizing and Optimizing an Application Migration Identify post-migration opportunities for modernization and optimization Understand cost and security optimization processes Explore tools available to support these processes 14 - Understanding Operations Tools, Integration Testing, and Automation Summarize operations in the cloud Discuss four functions of operations and their domains Review operations automation and relevant support tools 15 - Migration Best Practices Course review and key takeaways Summarize and reinforce AWS best practices for migrating Additional course details: Nexus Humans Migrating to AWS 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 Migrating to AWS 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 Experienced VMware vSphere administrators Overview By the end of the course, you should be able to meet the following objectives: Explain the key features and use cases for vSAN Detail the underlying vSAN architecture and components Describe the different vSAN deployment options Detail vSAN cluster requirements and considerations Apply recommended vSAN design considerations and capacity sizing practices Determine and plan for storage consumption by data growth and failure tolerance Design vSAN hosts for operational needs Explain Maintenance Mode use and its impacts on vSAN Apply best practices for vSAN network configurations Manually configure a vSAN cluster using VMware vSphere Client™ Explain and configure vSAN fault domains Understand and apply vSAN storage policies Define encryption in the vSAN cluster Describe the architecture and use cases for stretched clusters Describe the architecture and use cases for two-node clusters Understand the steps involved in creating the vSAN iSCSI target services This two-day, hands-on training course provides you with the knowledge, skills, and tools to plan and deploy a VMware vSAN? cluster. In this course, you are taught the many considerations that the end vSAN configuration has on the initial planning of the vSAN datastore. You also perform a fully manual configuration of a vSAN cluster. Course Introduction Introductions and course logistics Course objectives Introduction to vSAN Describe vSAN architecture Identify vSAN objects and components Describe the advantages of object-based storage Describe the difference between All-Flash and Hybrid vSAN architecture Explain the key features and use cases for vSAN Discuss the vSAN integration and compatibility with other VMware technologies Planning a vSAN Cluster Identify requirements and planning considerations for vSAN clusters Apply vSAN cluster planning and deployment best practices Determine and plan for storage consumption by data growth and failure tolerance Design vSAN hosts for operational needs Identify vSAN networking features and requirements Describe ways of controlling traffic in a vSAN environment Recognize best practices for vSAN network configurations Deploying a vSAN Cluster Deploy and configure a vSAN cluster using the Cluster Quickstart wizard Manually configure a vSAN cluster using vSphere Client Explain and configure vSAN fault domains Using VMware vSphere© High Availability with vSAN Understand vSAN cluster maintenance capabilities Describe the difference between implicit and explicit fault domains Create explicit fault domains vSAN Storage Policies Describe a vSAN object Describe how objects are split into components Explain the purpose of witness components Explain how vSAN stores large objects View object and component placement on the vSAN datastore Explain how storage policies work with vSAN Define and create a virtual machine storage policy Apply and modify virtual machine storage policies Change virtual machine storage policies dynamically Identify virtual machine storage policy compliance status Introduction to Advanced vSAN Configurations Define and configure compression and deduplication in the vSAN cluster Define and configure encryption in the vSAN cluster Understand the remote vSAN datastore topology Identify the operations involved in managing the remote vSAN datastore Understand the steps involved in creating the vSAN iSCSI target service vSAN Stretched and Two-Node Clusters Describe the architecture and use cases for stretched clusters Detail the deployment and replacement of a vSAN witness node Describe the architecture and uses case for two-node clusters Explain the benefits of vSphere HA and vSphere Site Recovery Manager in a vSAN stretched cluster Explain storage policies for vSAN stretched cluster Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vSAN: Plan and Deploy [v7] 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 VMware vSAN: Plan and Deploy [v7] 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.

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.

Learn how to drive innovation in your organisation and foster a creative, adaptive and sustainable work environment.