2020 Courses

Description GraphQL is a query and manipulation language of API that accomplishes queries with existing data. It is alternative to REST that is maintained by people, community, companies, and individuals across the world. To know more details about it, look at the GraphQL with NodeJs: Beginner to Advanced course. It will guide you further in your quest to regard this topic. The contents of this course will assist you to learn its basic to advance functions knowing how to start with GraphQL and NodeJs, do CURD Operations with NodeJs, MongoDB, and GraphQL, and fragment, union, and interfaces with GraphQL. The GraphQL with NodeJs: Beginner to Advanced course will assist you to learn how to set page number, make caching and batching, filtering, sorting and to know about the subscription and data loaders in GraphQL. It also enables you to test the data authentication and authorization with Jest in MngoDB, NodeJs, and GraphQL. The purpose of the course is to make you efficient in this field providing with all required information must. Learn vibrantly with the help of this course. Certification: After completing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? GraphQL with NodeJs: Beginner to Advanced is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our GraphQL with NodeJs: Beginner to Advanced is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Getting Started Create Express Server in NodeJs FREE 00:04:00 Create GraphQL Server using express 00:08:00 Understand GraphQL Resolver Arguments 00:03:00 Connect GraphQL App with MongoDB using Mongoose 00:04:00 CURD(Create, Read,Update,Delete) Operations with Nodejs, GraphQL, and MongoDB Create Record in MongoDB Using GraphQL Mutation 00:06:00 Get Records From MongoDB Using GraphQL Query 00:02:00 Update Records From MongoDB Using GraphQL Mutation 00:02:00 Delete Record From MongoDB Using GraphQL Mutation 00:02:00 Authentication and Authorization in GraphQL, Nodejs and MongoDB Create GraphQL Server with GraphQL Yoga 00:03:00 Split up your schema definition, resolvers, and Query type into multiple files 00:07:00 Create a Mongoose User model for Authentication in GraphQL 00:03:00 Register and Encrypt User Data and Return JWT Payload with Graph 00:07:00 Operations and Variables in GraphQL 00:02:00 Validate Input in GraphQL with Joi 00:04:00 Authenticate a User using a JSON Web Token in GraphQL 00:03:00 Merge GraphQL Resolvers into a Single Object using lodash.merge 00:02:00 Create a Middleware for Authentication in GraphQL 00:07:00 Apply Authentication Middleware on GraphQL Resolvers 00:03:00 Create Nested Resolvers to remove duplicate code from individual 00:07:00 Pagination, Filtering, And Sorting in GraphQL Paginate List of Data in GraphQL 00:04:00 Filter Nodes with Matching Rule GraphQL Queries 00:03:00 Sort GraphQL Query Results by Field 00:02:00 Cursor Based Pagination 00:09:00 Fragments, Interfaces, and Unions in GraphQL Send Multiple Queries in a Single Request using Aliases in GraphQL 00:02:00 Enhancing Fields Reusability with Fragments in GraphQL 00:02:00 Create Enum to represents a collection of related values 00:03:00 Create an Interface to represent the reusable fields in GraphQL 00:06:00 Interface Demo with - ResolveType 00:05:00 Create Union to return more than object type from GraphQL field 00:11:00 Subscriptions and DataLoaders in GraphQL Introduction to Subscriptions 00:01:00 Adding real-time functionality with GraphQL Subscriptions 00:06:00 Why Data Loaders in GraphQL 00:02:00 Create DataLoader in GraphQL 00:05:00 Batching in GraphQL 00:05:00 Caching in GraphQL 00:03:00 Testing with Jest in GraphQL and NodeJs Integrate Jest Testing Framework with GraphQL, and NodeJs 00:05:00 Write Unit test for Resolvers in GraphQL 00:04:00 Write Integration Test for Queries And Mutations in GraphQL 00:04:00 Order your Certificate Order Your Certificate 00:00:00

This beginner-friendly course takes us on a journey into data visualization. You will learn to transform raw data into stunning visuals using Matplotlib, Seaborn, and Plotly. From charts to dynamic heatmaps, we will master the essentials. Fuel your curiosity, enhance your skills, and communicate insights effectively to become a Python data visualization pro!

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, and Business Process Owners/Team Leads/Power Users. In this course, students are enabled to transform Excel workbooks into captivating dashboards for executives and business users. Introduction to Dashboards Creating Interactive Dashboards Using an Embedded Excel Workbook in the Dashboard Data Visualizations with Charts Using Data in a Range Using Data in a Series Preparing Future Data by Ignoring End Blanks Dashboard Distribution Distributing a Dashboard Single Value Components Using Single Value Components Alerts Setting Up Alerts Selectors Using Selectors Setting Default Values for Selectors Selecting Multiple Items Common Components Using Images in a Dashboard Using Tables in a Dashboard Using an Interactive Calendar in a Dashboard Adding a URL to a Dashboard Components Used as Selectors Using the Chart Component as a Selector Using the Map Component as a Selector Format Options Configuring Proportional Size and Position Using Themes to Apply Formats Using Templates to Apply Formats Applying Globalization Dynamic Visability Adding Dynamic Visibility Using Formulas to Create Dynamic Visibility Creating Multi-Layer Dashboards Dashboard Design Optimization Optimizing Dashboard Design Dashboard Connection to Live Data Using Live Data Sources Setting Up an XML Connection Using Web Services to Connect to Data Using the Query Browser to Connect to Data Using the Portal Data Connection to Connect to Data Additional course details: Nexus Humans BOX310 SAP BusinessObjects Dashboards 4.1 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 BOX310 SAP BusinessObjects Dashboards 4.1 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.

Nursing Assistant is the supportive care of adults receiving treatment in a general practice framework, hospitals, homes, and hospices. The job is an active and challenging job that requires engaging and inspiring characteristics. So if you're in love with serving people and would like to work passionately in improving people's lives, then it's well worth considering a career as a Nursing Assistant. So enrol today and give a boost to your potential! Whether you're a beginner or already working in the relevant field, this training will help you master the skills and knowledge. The course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. This course incorporates various in-depth areas of study that will help you enhance your understanding of the roles and responsibilities of a nursing assistant. Through this comprehensive diploma, you will explore personal assistant characteristics, principles of medical administration in nursing, fundamentals of the immune system in nursing, pain management, and much more. Moreover, throughout this course, you will understand topics like different healthcare settings, health and safety, hygiene, infection control, asepsis, nutrition, and oxygenation. In addition, throughout this course, you will illustrate the perception of a nursing assistant's legal policies and ethical aspects. Overall, completing this course will help you become an expert in every aspect of nursing. What will I learn from this course? An overview of the characteristics of personal assistant Demonstrate understanding of different healthcare settings Legal standard guidelines and ethical values How to develop effective communication Health and safety measurements Hygiene and infection control measurements How to deal with mobility and immobility issues of patients Fundamentals of nutrition Fluid and electrolyte balance Oxygenation Upon successful completion of the course, you will receive an instant e-certificate as proof of the comprehensive skill development and competency. Add these amazing new skills to your resume and boost your employability by simply enrolling on this course. You'll get a Free Student ID card by enrolling in this training. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. On top of everything, you will get a certificate that includes 10 CPD points which will help make a mark for yourself in the competitive job market. This certificate will also help you create an impression of self-reliance and dedication that will surely attract prospective employers to prioritise your job application. Enrol in this course today and open doors to enchanting career opportunities ahead. Start your learning journey straight away with this Nursing Assistant Training course and take a step toward a brighter future! Why Prefer Our Course? Opportunity to earn a certificate that is accredited by CPDQS. Get a free student ID card! (£10 postal charge will be applicable for international delivery). Innovative and engaging content. Free assessments. 24/7 tutor support. *** Course Curriculum *** Here is the curriculum breakdown of the Nursing Assistant Training course: Module 1: Introduction Module 2: Working in Different Healthcare Settings Module 3: Legal, Standards, and Professional Aspects of Ethical Practice: Part - 1 Module 4: Legal, Standards, and Professional Aspects of Ethical Practice: Part - 2 Module 5: Effective Communication Module 6: Health and Safety Module 7: Hygiene Module 8: Infection Control Module 9: Asepsis Module 10: Medication Administration Module 11: Understanding Immune System Module 12: Rest and Sleep Management Module 13: Mobility and Immobility Issues of Patients Module 14: Pain Management for Nurses Module 15: Nutrition Module 16: Fluid and Electrolyte Balance Module 17: Assisting with Elimination Module 18: Oxygenation Assessment Process Once you have completed all the modules in the course, your skills and knowledge will be tested with an automated multiple-choice assessment. You will then receive instant results to let you know if you have successfully passed the test. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course is primarily for motivated learners looking to add a new skill to their CV and stand head and shoulders above the competition. However, this course is preferable for: Nursing Associates Nursing Home Manager Anyone wants to start their career in nursing Disclaimer: Kindly be informed that completing this online course does not grant you the authority to practice as a Licensed Nurse. If you are searching for a course that fulfills the HCPC's standards, please contact the HCPC or the RCSLT. Requirements Enrol on the course with no formal entry requirements! If you have a passion for knowledge and want to learn something new, register on the without any delay. Career path Adult Nurse Children's Nurse Health Play Specialist Health Visitor Learning Disability Nurse Mental Health Nurse Midwife Certificates Certificate of completion Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

About Course Master the statistical skills you need to understand and analyze biomedical research data with this Biostatistics Online Course Are you working on public health, clinical medicine, biology or related fields? Are you familiar with the process of obtaining an accurate picture from a large number of data points? This Biostatistics Online Course demonstrates how to use statistical techniques to summarize the characteristics of a data set to draw meaningful conclusions. In this course, you will learn all about Biostatistics and its application in medical and life sciences. This course is a comprehensive introduction to the field of biostatistics, covering a wide range of topics from basic statistical concepts to more advanced biostatistical methods.Biostatistics Online Course modules: Module 1: Introduction to Biostatistics This module provides an overview of biostatistics, its applications in the field of health sciences, and the different types of study designs used in biomedical research. It also introduces the basic concepts of statistics, including data types, variables, inferential statistics, hypothesis testing, and the role of statistics in biostatistics and evidence-based medicine. Module 2: Probability This module covers the basics of probability, including probability distributions, random variables, and sampling distributions. Students will learn how to calculate and interpret probabilities in the context of biomedical research. Module 3: Descriptive Statistics This module covers the different measures of central tendency and variability, as well as graphical representations of data. Students will learn how to describe and summarize data from biomedical studies using these methods. Module 4: Inferential Statistics This module covers the fundamental concepts of inferential statistics, including estimation, hypothesis testing, confidence intervals, and p-values. Students will learn how to use these methods to draw conclusions about populations based on data from samples. Module 5: Regression Analysis This module introduces the basics of regression analysis, including simple linear regression, multiple linear regression, and logistic regression. Students will learn how to use these methods to model relationships between variables and to make predictions. Module 6: Biostatistics Tools This module covers a variety of biostatistical tools that are commonly used in biomedical research, including survival analysis, clinical trials, and epidemiological studies. Students will learn how to use these tools to answer specific research questions. Module 7: Statistical Software and Tools This module introduces students to popular statistical software programs, such as R and SPSS. Students will learn how to import, manage, and analyze data using these software programs, as well as how to perform statistical tests and generate summary statistics. Module 8: Ethical Considerations and Reporting Guidelines This module covers the importance of ethical considerations in biostatistics and the reporting guidelines for statistical analysis in research publications. Students will also learn about best practices for data management and data sharing. Why You Should Take This Course Whether you are a student, researcher, or healthcare professional, biostatistics is an essential skill for understanding and interpreting biomedical research. This course provides a comprehensive and accessible introduction to the field of biostatistics, covering all the essential topics that you need to know. By taking this course, you will learn how to: Design and conduct biomedical studies Collect and manage data Analyze data using statistical methods Interpret statistical results Communicate statistical findings effectively This course is ideal for students in the fields of public health, medicine, nursing, epidemiology, and other health sciences. It is also beneficial for researchers, healthcare professionals, and anyone else who wants to learn more about biostatistics. Enroll today and start your journey to becoming a biostatistics expert! To find more course in this topic, search more . What Will You Learn? Design and conduct biomedical studies Collect and manage data Analyze data using statistical methods Interpret statistical results Communicate statistical findings effectively Course Content Introduction to Biostatistics Introduction to Biostatistics Probability Module 2 Probability Descriptive Statistics Descriptive Statistics Inferential Statistics Inferential Statistics Regression Analysis Regression Analysis Biostatistics Tools Biostatistics Tools Statistical Software and Tools Statistical Software and Tools Ethical Considerations and Reporting Guidelines Ethical Considerations and Reporting Guidelines A course by Xpert Learning RequirementsBasic understanding of Mathematics and Statistics Audience Students in health sciences Researchers Healthcare professionals Anyone interested in learning about biostatistics Audience Students in health sciences Researchers Healthcare professionals Anyone interested in learning about biostatistics

Duration 3 Days 18 CPD hours This course is intended for The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services. Overview You will be able to Describe how Artificial (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Demonstrate Understanding of the Artificial Intelligence (AI) Intelligen Agent Description Explain the Benefits of Artificial Intelligence (AI) Describe how we Learn from Data - Functionality, Software and Hardware Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together Describe a ''Learning from Experience'' Agile Approach to Projects Candidates should be able to demonstrate a knowledge and understanding in the application of ethical and sustainable Artificial Intelligence (AI):- Human-centric Ethical and Sustainable Human and Artificial Intelligence (AI) Ethical and Sustainable Human and Artificial Intelligence (AI) Recall the General Definition of Human and Artificial Intelligence (AI) Describe what are Ethics and Trustworthy Artificial Intelligence (AI) Describe the Three Fundamental Areas of Sustainability and the United Nationïs Seventeen Sustainability Goals Describe how Artificial Intelligence (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Understand that Machine Learning (ML) is a Significant Contribution to the Growth of Artificial Intelligence (AI) Artificial Intelligence (AI) and Robotics Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description Describe what a Robot is Describe what an intelligent Robot is Applying the Benefits of Artificial Intelligence (AI) ? Challenges and Risks Describe how Sustainability Relates to Human-Centric Ethical Artificial Intelligence (AI) and how our Values will Drive our use of Artificial Intelligence (AI) and will Change Humans, Society and Organizations Explain the Benefits of Artifical Intelligence (AI) Describe the Challenges of Artificial Intelligence (AI) Projects Demonstrate Understanding of the Risks of Artificial Intelligence (AI) Projects List Opportunities for Artificial Intelligence (AI) Identify a Typical Funding Source for Artificial Intelligence (AI) Projects and Relate to the NASA Technology Readiness Levels (TRLs) Starting Artificial Intelligence (AI): how to Build a Machine Learning (ML) Toolbox ? Theory and Practice Describe how we Learn from Data - Functionality, Software and Hardware Recall which Rypical, Narrow Artificial Intelligence (AI) Capability is Useful in Machine Learning (ML9 and Artificial Intelligence (AI) AgentsïFunctionality The Management, Roles and Responsibilities of Humans and Machines Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together List Future Directions of Humans and Machines Working Together Describe a ''Learning from Experience'' Agile Approach to Projects

Duration 3 Days 18 CPD hours This course is intended for Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. Introduction to Data Structure using Python Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Advanced Operations on Built-In Data Structure Advanced Data Structures Basic File Operations in Python Introduction to NumPy, Pandas, and Matplotlib NumPy Arrays Pandas DataFrames Statistics and Visualization with NumPy and Pandas Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame Deep Dive into Data Wrangling with Python Subsetting, Filtering, and Grouping Detecting Outliers and Handling Missing Values Concatenating, Merging, and Joining Useful Methods of Pandas Get Comfortable with a Different Kind of Data Sources Reading Data from Different Text-Based (and Non-Text-Based) Sources Introduction to BeautifulSoup4 and Web Page Parsing Learning the Hidden Secrets of Data Wrangling Advanced List Comprehension and the zip Function Data Formatting Advanced Web Scraping and Data Gathering Basics of Web Scraping and BeautifulSoup libraries Reading Data from XML RDBMS and SQL Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Application in real life and Conclusion of course Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling

This course will teach you how Selenium WebDriver is used to test web applications. You will start by understanding the concepts of Java and gradually move toward understanding Selenium, TestNG framework, Maven, Jenkins, Cucumber, Gherkin, and a lot more interesting topics that will make you a pro in automation testing.

Get 7.5 hours of videos and downloadable lecture slides for Certified Information Security Manager (CISM) Domain 2

Overview Learn how to sell products and services using solid arguments when dealing with prospective clients, by enrolling in our Sales Diploma. This course provides you with a deep insight into the sales process and dynamics to efficiently close more deals and meet sales goals. The training allows you to learn some new ways of selling products and services you were unaware of. After your successful completion, you will be equipped with strongly developed skills to diagnose sales, prescribe solutions, generate leads, prepare weekly and monthly reports and more. Gain the expertise to meet prospects, make product demonstrations and negotiate contracts to promote your business's goodwill. How will I get my certificate? At the end of the course there will be an online MCQ test which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this Sales Diploma. It is available to all students, of all academic backgrounds. Requirements Our Sales Diploma is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 16 sections • 55 lectures • 03:36:00 total length •Attitude: 00:01:00 •Values: 00:03:00 •Beliefs: 00:02:00 •How to Change Beliefs: 00:04:00 •Goals: 00:06:00 •Focus: 00:02:00 •The Extra Mile: 00:03:00 • Team Player Types: 00:30:00 •Accentuate the Positive: 00:03:00 •Be a Winner!: 00:02:00 •Pre-call Research: 00:02:00 •Gaining Appointments: 00:04:00 •Pre-call Planning1: 00:04:00 •Route Planning: 00:04:00 •Prioritizing your Time: 00:02:00 •Controlling the Controlable: 00:03:00 •Know your Products: 00:03:00 •Features and Benefits: 00:03:00 •Customer Perception: 00:02:00 •Beginning Sales Calls: 00:03:00 •Listening Skills Part 1: 00:07:00 •Listening Skills Part 2: 00:05:00 •Uncovering Needs: 00:05:00 •Closing a Sales Call: 00:04:00 •Post Call Analysi: 00:05:00 •Follow Up Actions: 00:02:00 •Onwards: 00:01:00 •Final Thoughts: 00:01:00 •The Number One Universal Killer Question in Selling: 00:03:00 •The Importance of Establishing the Clients Expectations: 00:02:00 •How to Close the Sale Without Sounding like a Salesman: 00:04:00 •People Buy Emotionally and Justify Logically. What to Do About It: 00:04:00 •Don't Assume You Know the Buyer's Priorities: 00:05:00 •How to Unearth the Buyer's Strategic Needs: 00:03:00 •The Importance of Implications: 00:04:00 •Being Prepared for Objections: 00:04:00 •The Most Common Objections and How to Handle Them: 00:04:00 •How to Get People to Choose What You Want Them To: 00:04:00 •What Buyers Say and What They Really Mean: 00:03:00 •What Does Value For Money Really Mean?: 00:03:00 •Five Proven Techniques to Save Money and Make Money: 00:04:00 •The Words: 'Typically', 'Realistically', 'Currently', 'Given' and 'Yet': 00:02:00 •Justifying Your Price - the Power of One: 00:04:00 •The Final 'Killer Questions' That Allow You to Negotiate More Successfully: 00:04:00 •The Real Meaning of 'Win-Win': 00:04:00 •The Rules for Discounting: 00:03:00 •How to Hold a High Price: 00:04:00 •How to Increase Average Order: 00:03:00 •The Compromise Effect: 00:03:00 •All You Need to Know About Time Management: 00:03:00 •Recognising the Moment That Matters and the Role of 'Enough': 00:06:00 •What to Do When It Starts Going Wrong: 00:05:00 •How to Understand Other People - Can You Clarify?: 00:04:00 •How to Build Your Reputation and Getting Your Client to Feel Indebted to You: 00:04:00 •Selling in the Long Term and Being Recommended: 00:04:00