5478 Software courses delivered Online

Duration 4 Days 24 CPD hours This course is intended for This is an intermediate course for experienced DBAs and technical individuals, with experience on other relational database platforms, who plan, implement, and maintain Db2 11.1 for Linux, UNIX, and Windows databases. These skills can also be utilize to support cloud based databases using Db2 on Cloud or Db2 Hosted environments. Overview Please refer to course overview This course teaches you to perform, basic and advanced, database administrative tasks using Db2 11.1. These tasks include creating and populating databases and implementing a logical design to support recovery requirements. The access strategies selected by the Db2 Optimizer will be examined using the Db2 Explain tools. Various diagnostic methods will be presented, including using various db2pd command options. Students will learn how to implement automatic archival for database logs and how to plan a redirected database restore to relocate either selected table spaces or an entire database. The REBUILD option of RESTORE, which can build a database copy with a subset of the tablespaces, will be discussed. We will also cover using the TRANSPORT option of RESTORE to copy schemas of objects between two Db2 databases. The selection of indexes to improve application performance and the use of SQL statements to track database performance and health will be covered. This course provides a quick start to Db2 database administration skills for experienced relational Database Administrators (DBA). Overview of Db2 11Command Line Processor (CLP) and GUI UsageThe Db2 EnvironmentCreating Databases and Data PlacementCreating Database ObjectsMoving DataBackup and RecoveryLocks and ConcurrencyDatabase Maintenance, Monitoring and Problem DeterminationSecurityDatabase Rebuild SupportDb2 Database and Table Space RelocationUsing Explain ToolsUsing Indexes for PerformanceAdvanced Monitoring

Duration 5 Days 30 CPD hours This course is intended for Administrator Architect Database Administrator Overview To provide an acceptable response time to users and manage resources effectively, you learn how to monitor performance and manage resources within the multitenant container database and its pluggable databases, and within each pluggable database. Another important aspect is the data movement between non-CDBs and pluggable databases, and between pluggable databases. It is also important to understand the procedures of upgrading an Oracle Database multitenant container database or an Oracle Database pluggable database. Finally, students discover the way multitenant container database and pluggable databases are created and monitored in the Cloud. This course covers all aspects of the multitenant architecture, providing detailed information on the components of an Oracle multitenant container database and its regular and application pluggable databases. You learn why and how to create and manage a multitenant container database and its regular and application pluggable databases, with storage structures appropriate for the business applications. You practice cold and hot cloning, plugging unplugged pluggable databases in multitenant container databases using various methods. CDB BasicsCDB and Regular PDBsApplication PDBs and Application InstallationPDB CreationCDB and PDB ManagementStorageSecurityBackup and DuplicateRecovery and FlashbackPerformance MonitoringResources AllocationData MovementUpgrade methods

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Solutions architects, cloud engineers, including security engineers, delivery and implementation engineers, professional services, and Cloud Center of Excellence (CCOE) Overview In this course, you will learn to: Design and implement a secure network infrastructure Design and implement compute security Design and implement a logging solution Currently, the average cost of a security breach can be upwards of $4 million. AWS Security Best Practices provides an overview of some of the industry best practices for using AWS security and control types. This course helps you understand your responsibilities while providing valuable guidelines for how to keep your workload safe and secure. You will learn how to secure your network infrastructure using sound design options. You will also learn how you can harden your compute resources and manage them securely. Finally, by understanding AWS monitoring and alerting, you can detect and alert on suspicious events to help you quickly begin the response process in the event of a potential compromise. Module 1: AWS Security Overview Shared responsibility model Customer challenges Frameworks and standards Establishing best practices Compliance in AWS Module 2: Securing the Network Flexible and secure Security inside the Amazon Virtual Private Cloud (Amazon VPC) Security services Third-party security solutions Module 3: Amazon EC2 Security Compute hardening Amazon Elastic Block Store (EBS) encryption Secure management and maintenance Detecting vulnerabilities Using AWS Marketplace Module 4: Monitoring and Alerting Logging network traffic Logging user and Application Programming Interface (API) traffic Visibility with Amazon CloudWatch Enhancing monitoring and alerting Verifying your AWS environment Additional course details: Nexus Humans AWS Security Best Practices 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 AWS Security Best Practices 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.

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Dive into the dynamic world of document creation with 'MS Word Essentials - The Complete Word Course - Level 3.' This transformative course unlocks the myriad capabilities of one of the world's most renowned word-processing tools. Tailored for those keen to harness the power of MS Word, each module unfurls the software's features with precision, from basic initiation to advanced document preparation. By the end of this journey, crafting a polished document will seem like second nature. Learning Outcomes Acquire foundational knowledge on starting with MS Word and navigating its features. Attain expertise in text and paragraph formatting for an enhanced presentation. Discover techniques to streamline tasks and work more efficiently. Master the art of managing lists, tables, and integrating graphic objects. Develop proficiency in refining documents and preparing them for publication. Why choose this MS Word Essentials - The Complete Word Course - Level 3 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the MS Word Essentials - The Complete Word Course - Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this MS Word Essentials - The Complete Word Course - Level 3 course for? Individuals transitioning to MS Word from other word-processing platforms. Office professionals aiming to produce more refined documents. Students desiring to elevate their word-processing game. Entrepreneurs keen on creating polished business documents. Tutors or educators aiming to foster enhanced document creation techniques. Career path Document Specialist: £23,000 - £35,000 per annum Office Administrator: £18,000 - £30,000 per annum Technical Writer: £25,000 - £45,000 per annum Executive Assistant: £25,000 - £42,000 per annum Content Creator: £20,000 - £38,000 per annum Publication Coordinator: £24,000 - £37,000 per annum Prerequisites This MS Word Essentials - The Complete Word Course - Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This MS Word Essentials - The Complete Word Course - Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Getting Started with Word Navigate in Microsoft Word 00:12:00 Create and Save Word Documents 00:24:00 Manage Your Workspace 00:06:00 Edit Documents 00:16:00 Preview and Print Documents 00:04:00 Customize the Word Environment 00:08:00 Formatting Text and Paragraphs Apply Character Formatting 00:17:00 Control Paragraph Layout 00:19:00 Align Text Using Tabs 00:07:00 Display Text in Bulleted or Numbered Lists 00:03:00 Apply Borders and Shading 00:04:00 Working More Efficiently Make Repetitive Edits 00:06:00 Apply Repetitive Formatting 00:10:00 Use Styles to Streamline Repetitive Formatting Tasks 00:14:00 Managing Lists Sort a List 00:05:00 Format a List 00:06:00 Adding Tables Inserting a Table 00:06:00 Modify a Table 00:06:00 Format a Table 00:03:00 Convert Text to a Table 00:04:00 Inserting Graphic Objects Insert Symbols and Special Characters 00:04:00 Add Images to a Document 00:11:00 Controlling Page Appearance Apply a Page Border and Color 00:03:00 Add Headers and Footers 00:05:00 Control Page Layout 00:05:00 Add a Watermark 00:04:00 Preparing to Publish a Document Check Spelling Grammar and Readability 00:07:00 Use Proofing and Research Tools 00:07:00 Check Accessibility 00:03:00 Save a Document to Other Formats 00:04:00

Duration 3 Days 18 CPD hours This course is intended for This is an introductory level course, designed for web developers that need to upgrade core skills leveraging modern scripting and web development languages and standards. This course provides an excellent foundation for continued learning to gain in-demand skills in in-demand skills and technologies such as Angular, React, NodeJS, JQuery and more. This course can also be tuned for non-developers. Please inquire for details. Overview This 'skills-focused' course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our instructors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment guided by our expert team, attendees will explore: HTML5: How to effectively meet requirements using the full range of HTML5 semantic and structural elements To work with technologies such as web storage, application caching, and cross-domain messaging to improve performance and the user experience CSS: What features CSS3 supports and how they can be effectively used with HTML5 and other technologies To adapt to varying degrees of browser support for HTML5 and CSS3 JavaScript: What JavaScript is, how it relates to other programming languages, and how to script your web pages with it To traverse and manipulate the DOM and handle events in ways that work in all browsers To work with closures and prototypes and other exotic features of JavaScript Debugging What is needed to effectively debug these web technologies How to use both browser-based and proxy-based debuggers and tools Introduction to HTML5, CSS3 & JavaScript is geared for developers who need to understand the latest web technologies and responsive design practices central to targeting the entire spectrum of user platforms and browsers. This jumpstart style course provides a balanced mixture of theory and practical labs designed to take students through HTML5, CSS3 and JavaScript. Students who attend this course will leave this course armed with the new skills to begin to design, implement, and deploy robust, flexible, and safe web applications HTML Refresher HTML Review Introduction to HTML5 Introduction to CSS CSS Basics CSS3 Overview CSS3 Advanced Selectors CSS3 Visual Effects Introduction to JavaScript JavaScript Basics Debugging Tools JavaScript Functions JavaScript Arrays, Math and Date JavaScript Event Handling and the DOM Object-Oriented JavaScript

Duration 0.5 Days 3 CPD hours This course is intended for This course is designed for business leaders and decision makers, including C-level executives, project managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who want to increase their knowledge of and familiarity with concepts surrounding data science. Other individuals who want to know more about basic data science concepts are also candidates for this course. This course is also designed to assist learners in preparing for the CertNexus DSBIZ™ (Exam DSZ-110) credential. Overview In this course, you will identify how data science supports business decisions. You will: Explain the fundamentals of data science Describe common implementations of data science. Identify the impact data science can have on a business The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improve and expand the success of the business. Data Science Fundamentals What is Data Science? Types of Data Data Science Roles Data Science Implementation The Data Science Lifecycle Data Acquisition and Preparation Data Modeling and Visualization The Impact of Data Science Benefits of Data Science Challenges of Data Science Business Use Cases for Data Science Additional course details: Nexus Humans CertNexus Data Science for Business Professionals (DSBIZ) 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 CertNexus Data Science for Business Professionals (DSBIZ) 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 Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions. Overview Introduction to advanced statistical analysis Group variables: Factor Analysis and Principal Components Analysis Group similar cases: Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Predict categorical targets with Discriminant Analysis Predict categorical targets with Logistic Regression Predict categorical targets with Decision Trees Introduction to Survival Analysis Introduction to Generalized Linear Models Introduction to Linear Mixed Models This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases. Introduction to advanced statistical analysis Taxonomy of models Overview of supervised models Overview of models to create natural groupings Group variables: Factor Analysis and Principal Components Analysis Factor Analysis basics Principal Components basics Assumptions of Factor Analysis Key issues in Factor Analysis Improve the interpretability Use Factor and component scores Group similar cases: Cluster Analysis Cluster Analysis basics Key issues in Cluster Analysis K-Means Cluster Analysis Assumptions of K-Means Cluster Analysis TwoStep Cluster Analysis Assumptions of TwoStep Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Nearest Neighbor Analysis basics Key issues in Nearest Neighbor Analysis Assess model fit Predict categorical targets with Discriminant Analysis Discriminant Analysis basics The Discriminant Analysis model Core concepts of Discriminant Analysis Classification of cases Assumptions of Discriminant Analysis Validate the solution Predict categorical targets with Logistic Regression Binary Logistic Regression basics The Binary Logistic Regression model Multinomial Logistic Regression basics Assumptions of Logistic Regression procedures Testing hypotheses Predict categorical targets with Decision Trees Decision Trees basics Validate the solution Explore CHAID Explore CRT Comparing Decision Trees methods Introduction to Survival Analysis Survival Analysis basics Kaplan-Meier Analysis Assumptions of Kaplan-Meier Analysis Cox Regression Assumptions of Cox Regression Introduction to Generalized Linear Models Generalized Linear Models basics Available distributions Available link functions Introduction to Linear Mixed Models Linear Mixed Models basics Hierachical Linear Models Modeling strategy Assumptions of Linear Mixed Models Additional course details: Nexus Humans 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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 course is best suited to developers, engineers, and architects who want to use use Hadoop and related tools to solve real-world problems. Overview Skills learned in this course include:Creating a data set with Kite SDKDeveloping custom Flume components for data ingestionManaging a multi-stage workflow with OozieAnalyzing data with CrunchWriting user-defined functions for Hive and ImpalaWriting user-defined functions for Hive and ImpalaIndexing data with Cloudera Search Cloudera University?s four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH). IntroductionApplication Architecture Scenario Explanation Understanding the Development Environment Identifying and Collecting Input Data Selecting Tools for Data Processing and Analysis Presenting Results to the Use Defining & Using Datasets Metadata Management What is Apache Avro? Avro Schemas Avro Schema Evolution Selecting a File Format Performance Considerations Using the Kite SDK Data Module What is the Kite SDK? Fundamental Data Module Concepts Creating New Data Sets Using the Kite SDK Loading, Accessing, and Deleting a Data Set Importing Relational Data with Apache Sqoop What is Apache Sqoop? Basic Imports Limiting Results Improving Sqoop?s Performance Sqoop 2 Capturing Data with Apache Flume What is Apache Flume? Basic Flume Architecture Flume Sources Flume Sinks Flume Configuration Logging Application Events to Hadoop Developing Custom Flume Components Flume Data Flow and Common Extension Points Custom Flume Sources Developing a Flume Pollable Source Developing a Flume Event-Driven Source Custom Flume Interceptors Developing a Header-Modifying Flume Interceptor Developing a Filtering Flume Interceptor Writing Avro Objects with a Custom Flume Interceptor Managing Workflows with Apache Oozie The Need for Workflow Management What is Apache Oozie? Defining an Oozie Workflow Validation, Packaging, and Deployment Running and Tracking Workflows Using the CLI Hue UI for Oozie Processing Data Pipelines with Apache Crunch What is Apache Crunch? Understanding the Crunch Pipeline Comparing Crunch to Java MapReduce Working with Crunch Projects Reading and Writing Data in Crunch Data Collection API Functions Utility Classes in the Crunch API Working with Tables in Apache Hive What is Apache Hive? Accessing Hive Basic Query Syntax Creating and Populating Hive Tables How Hive Reads Data Using the RegexSerDe in Hive Developing User-Defined Functions What are User-Defined Functions? Implementing a User-Defined Function Deploying Custom Libraries in Hive Registering a User-Defined Function in Hive Executing Interactive Queries with Impala What is Impala? Comparing Hive to Impala Running Queries in Impala Support for User-Defined Functions Data and Metadata Management Understanding Cloudera Search What is Cloudera Search? Search Architecture Supported Document Formats Indexing Data with Cloudera Search Collection and Schema Management Morphlines Indexing Data in Batch Mode Indexing Data in Near Real Time Presenting Results to Users Solr Query Syntax Building a Search UI with Hue Accessing Impala through JDBC Powering a Custom Web Application with Impala and Search

Duration 2 Days 12 CPD hours This course is intended for Diese Zertifizierung richtet sich an Experten aus Geschäftsbetrieben aller Branchen, die mit der Cloud-Technologie arbeiten oder an dieser Technologie und ihrem Nutzen für Unternehmen interessiert sind: Alle Mitarbeiter von internen oder externen Service Providern, Ihre Kunden Manager, Auditoren Overview Die Zertifizierung EXIN Cloud Computing Foundation validiert das Wissen von Kandidaten in folgenden Bereichen: Cloud - Prinzipien Implementierung von Management des Cloud Computing Nutzung von Cloud Computing Sicherheit, Identität und Privatsphäre im Cloud Computing Bewertung des Cloud Computing Unter Cloud Computing versteht man die Implementierung und Nutzung der Cloud - Technologie um IT - Services bereitzustellen, die an einem andren Standort gehostet werden. Cloud-Prinzipien Das Cloud - Konzept Entwicklung des Cloud Computing Cloud - Architektur Vorteile und Beschr„nkungen des Cloud Computing Implementierung und Management des Cloud Computing Aufbau lokaler Cloud - Umgebungen Management - Prinzipien fr Cloud - Services Nutzung von Cloud Computing Zugriff auf die Cloud Untersttzung von Business - Prozessen durch Cloud Computing Cloud - Nutzung durch Service Provider Sicherheit, Identit„t und Privatsph„re im Cloud Computing Sicherheit im Cloud Computing Identit„ts- und Privatsph„renmanagement Bewertung des Cloud Computing Business Cas fr das Cloud Computing Bewertung von Cloud - Implementierungen