5056 Sciences courses delivered Online

Overview Our comprehensive course is designed to provide you with the necessary skills and knowledge to excel in your field. Developed by professionals with years of experience, this course is perfect for anyone looking to kick start their career or advance their skills. It features an audio-visual presentation and easy-to-learn modules, allowing for a self-paced learning experience. Our expert online support team is available during weekdays to assist you throughout the course. Learning Outcomes Upon completion of the course, you will be able to: Understand the fundamentals and its applications. Develop the necessary skills to succeed in the field . Apply your newly acquired knowledge to real-world scenarios. Create effective and efficient solutions for relevant topics. Enhance your employability and career prospects. It is designed to provide you with the knowledge needed to stand out in the competitive job market. With lifetime access to course materials and the ability to learn at your own pace, this course is the perfect opportunity to improve your skills and advance your career. You can learn at your own pace, from the comfort of your home, as all course materials are accessible online at any time. Why Choose Us? Lifetime access to course materials Full tutor support is available Monday through Friday for all courses Learn essentials skills at your own pace from the comfort of your home Gain a thorough understanding of the course Access informative video modules taught by expert instructors 24/7 assistance and advice available through email and live chat Study the course on your computer, tablet, or mobile device Improve your chances of gaining professional skills and earning potential by completing the course. Why should you study this course? The course offers a comprehensive introduction to the subject matter and provides a solid foundation for further study. It will also help students to gain knowledge and skills that can be applied in their professional or personal life. Assessment The course includes a series of quizzes that will test your understanding and retention of the material covered in the course. The quizzes will help you to identify areas where you may need further practice, and you will have the opportunity to review the course materials as needed. Upon successfully passing the final quiz, you will be able to order your certificate of achievement. Career Path The course is designed to equip you with the skills and knowledge you need to succeed in the field. After completing the course, you will be able to pursue a variety of career opportunities in different industries. Course Content HACCP Training Introduction to HACCP HACCP and Food Safety Legislation Food Safety Hazards Planning a HACCP System Creating the HACCP System Principle 1 - Hazard Analysis Principle 2 - Critical Control Points Principle 3 - Critical Limits Principle 4 - Monitoring Critical Control Points Principle 5 - Corrective Action

Our comprehensive course is designed to provide you with the necessary skills and knowledge to excel in your field. Developed by professionals with years of experience, this course is perfect for anyone looking to kick start their career or advance their skills. It features an audio-visual presentation and easy-to-learn modules, allowing for a self-paced learning experience. Our expert online support team is available during weekdays to assist you throughout the course. Learning Outcomes Upon completion of the course, you will be able to: Understand the fundamentals and its applications. Develop the necessary skills to succeed in the field . Apply your newly acquired knowledge to real-world scenarios. Create effective and efficient solutions for relevant topics. Enhance your employability and career prospects. It is designed to provide you with the knowledge needed to stand out in the competitive job market. With lifetime access to course materials and the ability to learn at your own pace, this course is the perfect opportunity to improve your skills and advance your career. You can learn at your own pace, from the comfort of your home, as all course materials are accessible online at any time. Why Choose Us? Lifetime access to course materials Full tutor support is available Monday through Friday for all courses Learn essentials skills at your own pace from the comfort of your home Gain a thorough understanding of the course Access informative video modules taught by expert instructors 24/7 assistance and advice available through email and live chat Study the course on your computer, tablet, or mobile device Improve your chances of gaining professional skills and earning potential by completing the course. Why should you study this course? The course offers a comprehensive introduction to the subject matter and provides a solid foundation for further study. It will also help students to gain knowledge and skills that can be applied in their professional or personal life. Assessment The course includes a series of quizzes that will test your understanding and retention of the material covered in the course. The quizzes will help you to identify areas where you may need further practice, and you will have the opportunity to review the course materials as needed. Upon successfully passing the final quiz, you will be able to order your certificate of achievement. Career Path The course is designed to equip you with the skills and knowledge you need to succeed in the field. After completing the course, you will be able to pursue a variety of career opportunities in different industries. Course Content Health and Social Care Level 3 Diploma Module 01. An Introduction to Health & Social Care Module 02. Communication and its Relevance Module 03. Medical Jargon and Terminology Module 04. Role as A Caregiver and Healthcare Professional Module 05. Promoting Equality and Diversity in Health and Social care Module 06. Person-Centred Care in the Health and Social Care Sector Module 07. Understanding Diabetes Care Module 08. Safeguarding Vulnerable Individuals Module 09. Health and Safety Responsibilities Module 10. Risk Management

Duration 2 Days 12 CPD hours This course is intended for This course is aimed at anyone currently working with data who is interested in using data visualisation to more effectively communicate their results. Overview At completion, delegates will understand how data visualisations can be best used to communicate actionable insights from data and be competent with the tools required to do it. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. Course Outline The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to horse breeding. The companies doing this most successfully understand that using sophisticated analytics approaches to unlock insights from data is only half the job. Communicating these insights to all of the different parts of an organisation is just as important as doing the actual analysis. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. To attend this course delegates should be competent in the use of data analysis tools such as reporting tools, spreadsheet software or business intelligence tools. The course will explore the following topics through a series of interactive workshop sessions: Fundamentals of data visualisation Data characteristics & dimensions Mapping visual encodings to data dimensions Colour theory Graphical perception & communication Interaction design Visualisation different characteristics of data: trends, comparisons, correlations, maps, networks, hierarchies, text Designing effective dashboards

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course is as follows: System engineers Network engineers Technical architects Technical support engineers Cisco integrators and partners Overview Upon successful completion of this course, students will be able to meet these overall objectives: Describe Cisco ISE policies and authentication and authorization process Understand different AAA protocols Understand how Cisco ISE fits into Cisco DNA Center architecture Provide configuration examples of Cisco ISE and TrustSec solutions Describe Cisco ISE integration with Cisco DNA Center and policy enforcement using Security Groups Provide configuration examples for wired, wireless, and VPN network access Understand how inline tagging and SGT Exchange Protocol (SXP) works This course shows you how to deploy the Cisco© Identity Services Engine (ISE) to support the Software-Defined Access (SD-Access) solution within your enterprise networks. You will gain an understanding of how Cisco ISE is utilized by the SD-Access solution to provide security policies across the organization. You will learn Cisco ISE fundamentals and get hands-on practice configuring ISE, policies, AAA client configuration, VPN access, integration, wireless guest access, and more. Cisco ISE Overview Exploring the Cisco Identity Services Engine Examining AAA protocols Examining Authentication Examining Authorization Cisco ISE Guest Access Examining Guest Portal Types Examining Guest User Types Examining AAA Policies for Guest Access Cisco ISE and SD-Access Exploring Cisco SD-Access Examining Cisco ISE for SD-Access Cisco ISE SGT Exchange Protocol SD-Access Fabric and Host Provisioning Security Group Exchange Protocol Additional course details: Nexus Humans Cisco Configuring Cisco ISE Essentials for SD- Access v1.0 (ISESDA) 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 Cisco Configuring Cisco ISE Essentials for SD- Access v1.0 (ISESDA) 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 class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Duration 3 Days 18 CPD hours This course is intended for This course is designed for the following roles: System administrators Technical solutions architects Systems integrators Channel partners Value-added resellers Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview This course will help you: Use SaaS or on-prem version of Cisco Intersight to enable IT organizations to analyze, simplify, and automate their environments in more advanced ways than the prior generations of tools Gain hands-on experience using Cisco Intersight Understand the X-Series, B-Series, and C-Series product line similarities and differences Describe Cisco Intersight and how it can be used to manage UCS and Cisco Hyperflex Understand the process for upgrading firmware with Cisco Intersight Administering server profiles, pools, and policies with Cisco Intersight Describe how to get started with Cisco Intersight programmability Cisco Intersight Overview (DCISO) v1.0 is a 3-day instructor led course that builds your experience with the administration of Cisco Unified Computing System (UCS) X-Series servers, including using Cisco Intersight for UCS management. This course covers architecture, configuration, and operation of Cisco Intersight©, and is designed to serve the needs of engineers seeking to understand the capabilities of Cisco Intersight for managing data centers from a single management platform. Course Outline Describing Cisco UCS Management in Cisco Intersight Describing the Cisco UCS Platform Describing Cisco Intersight Workloads Describing Automation Options Using Cisco Intersight

Resilience has become a buzzword in mental health and corporate well-being – but what does it mean and why are some people more resilient to stress than others? Discover important insights that will help to inform your work and bring much needed clarity to the topics of stress and resilience. Human givens psychotherapist, Julia Welstead explains the scientifically-sound answers to these important questions and an insightful view that will increase your understanding of “resilience” – allowing you to make more informed decisions and interventions. Your no-nonsense approach is always refreshing. I just wish more people knew about and practiced the human givens approach.HG STUDENT What will you learn What “resilience” & “stress” really mean and where resilience comes from A more helpful and sound alternative to the flawed concept of “good stress” How we can build resilience in a way that is healthy – and how organisations can contribute to this in the workplace An important model that will help you understand – and explain – stress and resilience A number of practical ways to immediately reduce stress levels – useful for yourself or to teach others Who is this webinar suitable for? You – if you want to know the best ways to help people who are suffering from stress – whether for professional or personal reasons HR consultants, HR managers, wellbeing officers, psychotherapists, counsellors, clinical psychologists, psychiatrists, doctors, psychiatric nurses, occupational therapists, health visitors, nurses, pastoral workers, social workers, youth workers, trainee counsellors, psychology students, etc. Anyone wanting to know more about the latest effective strategies for alleviating emotional distress that incorporate the latest insights from neuroscience

Joe Griffin reviews past theories and new research findings (which add further evidence for his own theory) as he tells the riveting story of how he solved the mystery of our dreams… Why does Nature select certain experiences to be the subject of our dreams? Why do they feel so meaningful to us? And what purpose do they serve? Fascinating - makes a lot of sense!SUPPORT WORKER Why take this course The renowned Irish psychologist Joe Griffin’s illuminating lecture answers these questions and many more as he takes us through the story of how he solved the mystery of why we dream – and discovered at the same time the significance of dreaming for our mental health. In the 20 years since Griffin first published his hypothesis, every new piece of dream and sleep research has substantiated it – none has contradicted it. In this talk, he examines the evidence and explains why other dream theories fail to come up with satisfactory answers. (His own 12 year research project was prompted by the realisation that the discovery of the REM state in 1953 meant Freudian and Jungian dream theories were ‘dead in the water’.) Whilst describing his own experiments and the key ‘light bulb’ moments which finally helped him solve this age-old mystery, he takes us on a fasincating exploration of the significance of various scientific findings in the field – some previously overlooked – before demonstrating how his expectation fulfilment theory of dreams succinctly pulls them together into a powerful explanation that makes absolute evolutionary and common sense. Nature, as ever, has been clever and economical. I appreciated how such a complex theory was expressed in a way that anyone could relate to and understand. Many ThanksNIKI What you will learn The auto-symbolic process Why all dreams have to be metaphorical to prevent false memories building up Metaphorical pattern-matching Why we evolved to suppress emotions Why dreaming was Nature’s way of conserving energy Why dreaming evolved to maintain the integrity of mammalian instincts The connection between unfulfilled emotional expectations and nightmares Dream predictions Why all mammals dream and more… Who is this course suitable for? If you deal professionally with members of the public in difficult, stressful circumstances, this course – presented without jargon – is for you If you counsel or treat angry people, this training is for you If anger is affecting you personally – or you would simply like to deepen your understanding of anger and its effects – this course will be of benefit to you too The many insights and practical applications that have stemmed from Griffin’s highly original work intro why we dream have huge significance for us all – and they have been quietly revolutionising the successful treatment of mental health and behavioural problems for years through the human givens approach to psychology, psychotherapy and education, co-founded by Joe Griffin and Ivan Tyrrell.

Ivan Tyrrell’s fascinating talk from the HG Diploma throws new light on our evolution as he explains the crucial role of the REM state and much more… Once humans started daydreaming they could creatively solve problems in their imagination, ask abstract questions and generate complex language with a past, present and future tense. This had profound implications, not least for our mental health. Excellent and very informative , I can't wait to move onto the next course now, so glad I was recommended this site.EMMA This fascinating talk about what followed on from the ‘brain’s big bang’ 40,000 years ago – when our ancestors learned how to consciously access the internal reality theatre of the dreaming brain and ‘daydream’ consciously – was filmed with students on the Human Givens Diploma course. Very interesting and thought provoking ideas.JULIA Subjects covered include: The nature of consciousness Cave art Creativity Psychosis and autism The origin of civilisations The 12,000 year old Gobekli Tepe stone temples The importance of REM state research How the unconscious mind really works Metaphorical pattern- matching How dreaming helps us stay effective Dreaming and depression False memory syndrome Why hypnosis can now be viewed as ‘any artificial way of accessing the REM state’ How to improve psychotherapy outcomes in the modern world and much more…