5686 Computing & IT courses in Irlam delivered Online

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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 4.5 Days 27 CPD hours This course is intended for This intermediate course is for people who are new to the RACF component of the z/OS Security Server, and responsible for security administration. This includes people who are planning to implement RACF for the first time, and people who are security administrators in installations where RACF is already implemented. Those inexperienced z/OS users may find the course Basics of z/OS RACF Administration (ES19) more appropriate Overview Identify the security requirements of a system Evaluate the facilities and options of RACF Define users to RACF Set up a RACF group structure Use RACF to protect resources Select options to tailor RACF Evaluate and implement RACF database and performance options Identify tools available for auditing Administer the system so that it is consistent with the installation's security goals Be a more effective security administrator using the RACF component of the z/OS Security Server to define users, set up group structures, define general resources, protect z/OS data sets, & use several RACF utilities. Security and RACF overview . Administering groups and users . Protecting z/OS data sets . Introduction to user administration and delegation and general resources . RACF database, tables, and performance options . RACF utilities and exits . RACF options . Auditing the RACF environment . Storage management and RACF . Security for JES facilities . Security classification .

Duration 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines

Duration 3 Days 18 CPD hours This course is intended for This is an introductory level React development course for web developers. Overview Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore: A basic and advanced understanding of React components An advanced, in-depth knowledge of how React works A complete understanding of using Redux How to build, validate, and populate interactive forms How to use inline styles for perfect looking components How to test React components How to build and use components How to get control of your build process Introduction to React | React Basics is a three-day hands-on course designed to get students quickly up and running with Core React skills. Geared for more experienced web developers new to React, this course provides students with the core knowledge and hands-on skills they require to build reliable, powerful React apps.Throughought the course students will explore React fundamentals with a progressive, example-driven approach. You?ll create your first apps, learn how to write components, start handling user interaction, and manage rich forms. We end the first part by exploring the inner workings of Create React App (Facebook?s tool for running React apps), and building a multi-page app that uses client-side routing.Every project in this course was built using Create React App. Create React App is based on Webpack, a tool which helps process and bundle our various JavaScript, CSS, HTML, and image files. We explore Create React App in-depth in the module ?Using Webpack with Create React App.?Students will build Single Page Applications (SPA), create robust routing with error handling, and both class and functional reusable components.The lab project will also include the use of form validation.NOTE: This is a foundational course that explores how to build your first React application. Students who want a deeper dive, withmore intermediate level topics such as Redux, REST, Unit Testing and more might consider the TT4195 Mastering React five-daysuperset of this class as an alternative. ES6 Primer Prefer const and let over var Arrow functions Modules Object.assign() Template literals The spread operator and Rest parameters Enhanced object literals Default arguments Destructuring assignments Your First React Web Application Setting up your development environment JavaScript ES6 /ES7 What?s a component? Building The App Making The App data-driven Your app?s first interaction JSX and the Virtual DOM React Uses a Virtual DOM Why Not Modify the Actual DOM? What is a Virtual DOM? Virtual DOM Pieces ReactElement JSX

Duration 2 Days 12 CPD hours This course is intended for Built for those supporting a Citrix Virtual Apps and Desktops solution in a help desk or service desk capacity. An ideal candidate for this course interacts with end users to troubleshoot and resolve issues. Overview How to support end-users connecting to Citrix Virtual Apps and Desktops through Citrix Workspace App. How to use Citrix Director to gather information and interact with user sessions. A methodology to approach user related issues to minimize time to resolution. An understanding of the Citrix Virtual Apps and Desktops solution and the role of the components Learn to support end-users accessing virtual apps and desktops as part of a Citrix solution. In this course, you will learn to use Citrix Director to interact with user sessions and to capture information for solving issues or escalating to the administration team. Gain foundational knowledge about the Citrix Virtual Apps and Desktops technology and an understanding of how components interact. You will learn about each component focusing on common user related issues that may arise, and how to apply a methodical approach to solve them using real world scenarios. By the end of the course, you will be able to solve or escalate end-user issues appropriately Fundamental Architecture for the Help Desk Role Citrix Site Infrastructure and Deployment Models The Help Desk Role in the Fundamental Architecture Problem Resolution Methodology Citrix Director and its role in Help Desk Support Citrix Director Role and Purpose Access to Director for Help Desk Administrators Common Director Monitoring Tasks Common Help Desk AdministratorTroubleshooting Tasks Providing and Troubleshooting End User Access End User Access Overview Components between end users and published resources on VDAs User Experience Support End User Access Citrix Workspace App Workspace App Types Deploying Citrix Workspace app Pass though Authentication Supporting Citrix Workspace App User Sessions FlexCast Architecture User Sessions App and Desktop Launch Process User Profiles HDX Technologies Printing Introduction to Printing Printing Components Overview Supporting Printing

Duration 3 Days 18 CPD hours This course is intended for This is an intermediate course for architects, system integrators, security administrators, network administrators, software engineers, technical support individuals, and IBM Business Partners who implement LPARs on IBM Power Systems. Overview Describe important concepts associated with managing POWER7 processor-based systems, such as Logical partitioning (LPAR), dynamic partitioning, virtual devices, virtual processors, virtual consoles, virtual Local Area Network (VLAN), and shared processors Describe the features of the PowerVM Editions. Use the System Planning Tool to plan an LPAR configuration Describe the functions of the HMC Configure and manage the HMC, including users and permissions, software, startup and shutdown, remote access features, network configuration, security features, HMC backup and restore options, and the HMC reload procedure Describe the rules associated with allocating resources, including dedicated processors, processing units for Micro-Partitions, memory, physical I/O for AIX and Linux partitions Configure and manage LPARs using the HMC Graphical User Interface (GUI) and HMC commands Interpret physical and AIX location codes and relate to the key hardware components Power on and power off the POWER7 system Use the HMC to back up and restore partition data In this course, students will learn the skills needed to become an effective administrator on IBM's POWER7-based systems that support Logical Partitioning (LPAR). Day 1 Introduction to partitioning Hardware system overview Hardware Management Console Day 2 Hardware Management Console (cont.) System Planning Tool HMC and managed system maintenance System power management Planning and configuring logical partitions Day 3 Planning and configuring logical partitions (cont.) Partition operations Dynamic resource allocation Exercise 9 Additional course details: Nexus Humans AN110 IBM Power Systems for AIX I - LPAR Configuration and Planning 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 AN110 IBM Power Systems for AIX I - LPAR Configuration and Planning 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.

Register on the Advanced Diploma in Microsoft Excel today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Advanced Diploma in Microsoft Excel is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Advanced Diploma in Microsoft Excel Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Advanced Diploma in Microsoft Excel, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.

Description Take your steps towards learning the advanced concepts of SQL by taking this SQL Developer 2014 Advanced. Through the course, you will master SQL skills and be able to take full command of SQL. You will learn to create materialised views and improve performance by using simple SQL syntax. Learn about partition the tables and performance optimisation using SQL partitioning and explore how to use analytic SQL to aggregate, analyse and report, and model data using the SQL analytic capabilities. You will also learn to interpret the concept of a hierarchical query, create a tree-structured report, format hierarchical data, and exclude branches from the tree structure by practising SQL Hierarchical features. Use of regular expressions and sub-expressions to search, match and replace strings using SQL built-in functions also explained in this course. Step up to the next level to learn more about the advanced SQL theories which will put you better in your performance and career advancement. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing 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. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. 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. Module: 01 Topic A Partitioning FREE 00:20:00 Topic B Creating Partition Tables 00:30:00 Topic C Querying Partitions 00:14:00 Topic D Managing Partitions 00:17:00 Module: 02 Topic A Complex Querying 00:22:00 Topic B Rankings 00:15:00 Topic C SubQueries 00:21:00 Topic D Common Table Expressions 00:17:00 Module: 03 Topic A Complex Data and Structures 00:26:00 Topic B Efficient Queries 00:36:00 Topic C Complex Queries 00:17:00 Module: 04 Topic A XML Data Type 00:28:00 Topic B XML Schemas 00:17:00 Topic C Querying XML 00:20:00 Topic D Best Practices 00:08:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Are you ready to embark on an enlightening journey of wisdom with the Web Development bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - Web Development (CSS, HTML & Bootstrap 4). Delve into eight immersive CPD Accredited courses, each a standalone course: Course 01: Learn Web Development from Scratch Course 02: HTML Web Development Crash Course Course 03: CSS Web Development Crash Course Course 04: Bootstrap 4 Responsive Web Development Course 05: Front End Web Development Training for Everyone Course 06: Web Design in Affinity Designer Course 07: Advanced Diploma in User Experience UI/UX Design Course 08: UX (User Experience) Fundamentals Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Web Development (CSS, HTML & Bootstrap 4) bundle illuminate your path to wisdom. The Web Development (CSS, HTML & Bootstrap 4) bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace. In the framework of the Web Development (CSS, HTML & Bootstrap 4) package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Web Development bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement! So, don't wait further and join the Web Development (CSS, HTML & Bootstrap 4) community today and let your voyage of discovery begin! Learning Outcomes: Upon completing this Web Development bundle, the learner will be able to: Attain a holistic understanding in the designated areas of study with the Web Development bundle. Establish robust bases across each course nestled within the Web Development bundle. Decipher intricate concepts through the articulate content of the Web Development bundle. Amplify your prowess in interpreting, scrutinising, and implementing theories. Procure the capacity to engage with the course material on an intellectual and profound level. Become proficient in the art of problem-solving across various disciplines. Stepping into the Web Development bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge. The Web Development bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Web Development bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The Web Development bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Web Development bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Web Development journey and let knowledge guide you towards a brighter future. CPD 85 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Web Development bundle is suitable for: Aspiring Web Developers: Beginners seeking foundational web development skills. Front-End Developers: Professionals enhancing skills in responsive design and user experience. Graphic Designers: Designers expanding into web design using tools like Affinity Designer. UX/UI Designers: Specialists improving their knowledge in user experience and UI design. Entrepreneurs: Business owners wanting to build or manage their websites. Anyone with a thirst for knowledge and a passion for continuous learning. Requirements Without any formal requirements, you can delightfully enrol in this Web Development bundle. Career path This Web Development bundle will help to pursue various career paths: Junior Web Developer HTML Developer CSS Developer Bootstrap Web Developer Front-End Web Developer UI/UX Designer Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript - £9.99