702 Courses delivered Online

Duration 2 Days 12 CPD hours This course is intended for Experienced DataStage developers seeking training in more advanced DataStage job techniques and who seek techniques for working with complex types of data resources. Overview Use Connector stages to read from and write to database tables Handle SQL errors in Connector stages Use Connector stages with multiple input links Use the File Connector stage to access Hadoop HDFS data Optimize jobs that write to database tables Use the Unstructured Data stage to extract data from Excel spreadsheets Use the Data Masking stage to mask sensitive data processed within a DataStage job Use the Hierarchical stage to parse, compose, and transform XML data Use the Schema Library Manager to import and manage XML schemas Use the Data Rules stage to validate fields of data within a DataStage job Create custom data rules for validating data Design a job that processes a star schema data warehouse with Type 1 and Type 2 slowly changing dimensions This course is designed to introduce you to advanced parallel job data processing techniques in DataStage v11.5. In this course you will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), and XML data. In addition, you will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. Finally, you will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. Even if you are not working with all of these specific types of data, you will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course. Accessing databases Connector stage overview - Use Connector stages to read from and write to relational tables - Working with the Connector stage properties Connector stage functionality - Before / After SQL - Sparse lookups - Optimize insert/update performance Error handling in Connector stages - Reject links - Reject conditions Multiple input links - Designing jobs using Connector stages with multiple input links - Ordering records across multiple input links File Connector stage - Read and write data to Hadoop file systems Demonstration 1: Handling database errors Demonstration 2: Parallel jobs with multiple Connector input links Demonstration 3: Using the File Connector stage to read and write HDFS files Processing unstructured data Using the Unstructured Data stage in DataStage jobs - Extract data from an Excel spreadsheet - Specify a data range for data extraction in an Unstructured Data stage - Specify document properties for data extraction. Demonstration 1: Processing unstructured data Data masking Using the Data Masking stage in DataStage jobs - Data masking techniques - Data masking policies - Applying policies for masquerading context-aware data types - Applying policies for masquerading generic data types - Repeatable replacement - Using reference tables - Creating custom reference tables Demonstration 1: Data masking Using data rules Introduction to data rules - Using the Data Rules Editor - Selecting data rules - Binding data rule variables - Output link constraints - Adding statistics and attributes to the output information Use the Data Rules stage to valid foreign key references in source data Create custom data rules Demonstration 1: Using data rules Processing XML data Introduction to the Hierarchical stage - Hierarchical stage Assembly editor - Use the Schema Library Manager to import and manage XML schemas Composing XML data - Using the HJoin step to create parent-child relationships between input lists - Using the Composer step Writing Hierarchical data to a relational table Using the Regroup step Consuming XML data - Using the XML Parser step - Propagating columns Topic 6: Transforming XML data - Using the Aggregate step - Using the Sort step - Using the Switch step - Using the H-Pivot step Demonstration 1: Importing XML schemas Demonstration 2: Compose hierarchical data Demonstration 3: Consume hierarchical data Demonstration 4: Transform hierarchical data Updating a star schema database Surrogate keys - Design a job that creates and updates a surrogate key source key file from a dimension table Slowly Changing Dimensions (SCD) stage - Star schema databases - SCD stage Fast Path pages - Specifying purpose codes - Dimension update specification - Design a job that processes a star schema database with Type 1 and Type 2 slowly changing dimensions Demonstration 1: Build a parallel job that updates a star schema database with two dimensions Additional course details: Nexus Humans KM423 IBM InfoSphere DataStage v11.5 - Advanced Data Processing 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 KM423 IBM InfoSphere DataStage v11.5 - Advanced Data Processing 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 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Individuals planning to deploy applications and create application environments on Google Cloud Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview This course teaches participants the following skills: Identify Google Cloud counterparts for AWS IaaS, AWS PaaS, AWS SQL, AWS Blob Storage, AWS Application Insights, and AWS Data Lake Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more Manage and monitor applications Explain feature and pricing model differences This course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants will get details of similarities, differences, and initial how-tos quickly. Introducing Google Cloud Explain the advantages of Google Cloud. Define the components of Google's network infrastructure,including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) Getting Started with Google Cloud Identify the purpose of projects on Google Cloud Platform. Understand how AWS?s resource hierarchy differs from Google Cloud?s. Understand the purpose of and use cases for Identity and Access Management. Understand how AWS IAM differs from Google Cloud IAM. List the methods of interacting with Google Cloud Platform. Launch a solution using Cloud Marketplace. Virtual Machines in the Cloud Identify the purpose and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Understand how Amazon VPC differs from Google VPC. Understand the similarities and differences between Amazon EC2 and Google Compute Engine. Understand how typical approaches to load-balancing in Google Cloud differ from those in AWS. Deploy applications using Google Compute Engine. Storage in the Cloud Understand the purpose of and use cases for: Cloud Storage,Cloud SQL, Cloud Bigtable and Cloud Datastore. Understand how Amazon S3 and Amazon Glacier compare to Cloud Storage. Compare Google Cloud?s managed database services with Amazon RDS and Amazon Aurora. Learn how to choose among the various storage options on Google Cloud Platform. Load data from Cloud Storage into BigQuery. Perform a query on the data in BigQuery. Containers in the Cloud Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Understand how Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE. Provision a Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl Applications in the Cloud Understand the purpose of and use cases for Google App Engine. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand how App Engine differs from Amazon Elastic Beanstalk. Understand the purpose of and use cases for Google Cloud Endpoints. Developing, Deploying and Monitoring in the Cloud Understand options for software developers to host their source code. Understand the purpose of template-based creation and management of resources. Understand how Cloud Deployment Manager differs from AWS CloudFormation. Understand the purpose of integrated monitoring, alerting, and debugging. Understand how Google Monitoring differs from Amazon CloudWatch and AWS CloudTrail. Create a Deployment Manager deployment. Update a Deployment Manager deployment. View the load on a VM instance using Google Monitoring. Big Data and Machine Learning in the Cloud Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Understand how Google Cloud BigQuery differs from AWS Data Lake. Understand how Google Cloud Pub/Sub differs from AWS Event Hubs and Service Bus. Understand how Google Cloud?s machine-learning APIs differ from AWS's. Load data into BigQuery from Cloud Storage. Perform queries using BigQuery to gain insight into data. Summary and Review Review the products that make up Google Cloud and remember how to choose among them Understand next steps for training and certification Understand, at a high level, the process of migrating from AWS to Google Cloud. Additional course details: Nexus Humans Google Cloud Fundamentals for AWS Professionals 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 Google Cloud Fundamentals for AWS Professionals 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 5 Days 30 CPD hours This course is intended for This course is designed for the professional tasked with implementing, designing, architecting, installing, and configuring Symantec Client Management Suite (CMS) to manage the software and hardware in their company. Overview At the completion of the course, you will be able to: Identify the types of information you need to collect to help determine what type of CMS configuration to implement. Install Client Management Suite. Discover and import computer and user resources that you want to manage. Deploy the Symantec Management Agent and plug-ins. Create Organizational Views and Groups and assign resources to them. Create and configure policies, tasks, and jobs and assign them to targets. Troubleshoot common problems with installation and managing of Client Management Suite. Creating reports and installing and configuring IT Analytics. This course teaches students theory and concepts, and provides technical know-how on implementing Client Management Suite. Course Introduction Course objectives Course overview Lab environment introduction Understanding the Symantec Management Platform Introducing the Symantec Management Platform Symantec management Platform components used by Client Management Suite Symantec Management Platform concepts How Client Management Suite works Architecture of Client Management Suite Understanding Architecture Hardware Recommendations Installing and configuring Client Management Suite Installing and using the Symantec Installation Manager Installing the Notification Server, suite and solution software The Symantec Management Console Accessing the Symantec Management Console Getting to know the Symantec Management Console Configuring the Notification Server after installation Getting to know the ITMS Management views Discovering resources Introducing resource discovery methods Importing resources from Microsoft Active Directory Discovering computers using domain resource discovery Discovering network resources using Network Discovery Creating and Managing Organizational Views and Groups Learning about organizational views and groups Creating custom organizational views and groups Managing organizational views and groups Installing and Configuring the Agents and Plug-ins Managing computers with the Symantec Management Agent Installing the Symantec Management Agent Verifying the Symantec Management Agent installation Configuring the Symantec Management Agent settings Introducing solution plug-ins for the Symantec Management Agent Upgrading Client Management Suite Introducing agent, Notification Server and site server communications Introducing Notification Server event queues Resource Filters Introducing resource filters Managing and working with existing filters Creating and modifying filters Filters and Targets Introducing targets Working with targets in the computer management view Policies Getting to know policies Understanding user-based policies Understanding how the Symantec Management Agent receives policies Configuring automation policies Managing shared schedules Creating and Managing Tasks and Jobs Overview of task management Creating and scheduling tasks and jobs Task management communication and processing Security Learning about security Managing user accounts, security roles, and privileges Managing permissions Reporting Introducing reports Using and creating classic reports Configuring and using IT Analytics Site Management Introducing site management Managing sites, subnets and site servers Reviewing site server plug-ins to the Symantec Management Agent Configuring site services Cloud-enabled Management (CeM) Introducing Cloud-enabled Management (CeM) Understanding the cloud-enabled agent Preparing the Notification Server and agents for CeM Configuring site management for CeM Installing and Configuring the SMP Internet Gateway and configuring a CeM Settings policy Configuring the SMP Internet Gateway with the SMP IG Manager Configuring the CeM Settings policy Creating a cloud-enabled agent installation package Installing a cloud-enabled agent from a package Replication Understanding replication Setting up and configuring replication Running replication Hierarchy Understanding hierarchy Setting up a Notification Server hierarchy Configuring hierarchy replication Changing the hierarchy topology Migration Migrating Symantec Management Platform Agent registration (trust)Post installation checklist Readiness checklist for CMS Migration Post migration checklist for a CMS Migration Migrating from 6.x to 7.6 Migrating from 7.x to 7.6 Troubleshooting Learning about Symantec Management Platform troubleshooting tools Using NSConfigurator Using Remote Altiris Agent Diagnostics Introducing Notification Server event queues Troubleshooting Cloud-enabled Management (CeM) Backing up the server and database Symantec Management Platform components needed for recovery Backing up the IIS default web site virtual directories Backing up the Configuration Management Database Customizing the Console Customizing the Symantec Management Console Personalizing the Symantec Management Console SQL Basics Learning SQL basics Obtaining Technical Support from Symantec Using self-help resources Obtaining customer support Additional course details: Nexus Humans Symantec Management Suite 7.6 - Implementation training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Symantec Management Suite 7.6 - Implementation course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Get ready for an exceptional online learning experience with the Network Security Engineer bundle! This carefully curated collection of 30 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The Network Security Engineer is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Network Security Engineer package has something for everyone. As part of the Network Security Engineer package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Network Security Engineer bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This Bundle Comprises the Following Network Security Engineer CPD Accredited Courses: Course 01: Computer Networks Security from Scratch to Advanced Course 02: CompTIA Network+ Certification (N10-007) Course 03: IT Administration and Networking Course 04: Mile2 Certified Network Forensics Examiner (CNFE) Course 05: Cyber Security Awareness Training Course 06: Python Programming Bible | Networking, GUI, Email, XML, CGI Course 07: CompTIA Security+ (SY0-601) Course 08: CompTIA PenTest+ (Ethical Hacking) Course 09: Web Application Penetration Testing Course Course 10: Cyber Law Online Course Course 11: Cyber Security Incident Handling and Incident Response Course 12: GDPR Course 13: Data Center Training Essentials: General Introduction Course 14: Internet of Things Course 15: SQL Database Basics for Everyone Course 16: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 17: CompTIA IT Fundamentals ITF+ (FCO-U61) Course 18: Information Management Course 19: Learn Ethical Hacking From A-Z: Beginner To Expert Course 20: Quick Data Science Approach from Scratch Course 21: Deep Learning Neural Network with R Course 22: Deep Learning & Neural Networks Python - Keras Course 23: IT Helpdesk Administrator Training Course 24: Career Development Plan Fundamentals Course 25: CV Writing and Job Searching Course 26: Learn to Level Up Your Leadership Course 27: Networking Skills for Personal Success Course 28: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes! Course 29: Learn to Make a Fresh Start in Your Life Course 30: Motivation - Motivating Yourself & Others What will make you stand out? Upon completion of this online Network Security Engineer bundle, you will gain the following: CPD QS Accredited Proficiency with this Network Security Engineer bundle After successfully completing the Network Security Engineer bundle, you will receive a FREE CPD PDF Certificates as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials of this Network Security Engineer bundle The online test with immediate results You can study and complete the Network Security Engineer bundle at your own pace. Study for the Network Security Engineer bundle using any internet-connected device, such as a computer, tablet, or mobile device. Each course in this Network Security Engineer bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with the Network Security Engineer, a rich anthology of 30 diverse courses. Each course in the Network Security Engineer bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisNetwork Security Engineer bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Network Security Engineer bundle offers you the flexibility and convenience to learn at your own pace. Make the Network Security Engineer package your trusted companion in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Network Security Engineer bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Requirements You are cordially invited to enroll in this bundle; please note that there are no formal prerequisites or qualifications required. We've designed this curriculum to be accessible to all, irrespective of prior experience or educational background. Career path Unleash your potential with the Network Security Engineer bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the Network Security Engineerbundle package. Certificates CPD Quality Standard Certificate Digital certificate - Included 30 CPD Quality Standard Certificates - Free

Getting Started The Level 7 Diploma in Data Science empowers learners to formulate research hypotheses, effectively organize, analyze, and visualize data, unveiling innovative solutions that can challenge conventional business assumptions. It aims to support organizations and their managers in critical decision-making by applying various data science techniques and models. The Qualifi Level 7 Diploma in Data Science offers learners the opportunity to: Obtain a globally recognized qualification from a prestigious awarding organization. Access an up-to-date curriculum aligned with the latest developments in the contemporary business landscape. Acquire new skills and knowledge directly applicable to data science and analytics. Benefit from assessments that are evaluated and moderated by respected academic and industry professionals with hands-on experience in data science and analytics. Progress along a pathway toward pursuing a Master's degree or higher qualifications. Key Benefits Attain comprehensive mathematical and statistical expertise for advanced data analysis. Master programming in R, Python, and SQL for proficient data analysis. Develop strong data management skills, including data evaluation, structuring, and cleaning. Learn effective data visualization techniques and tools. Gain a deep understanding of classical data analytics, covering statistical inference, predictive modelling, time series analysis, and data reduction. Apply common machine learning techniques to solve business and other real-world problems. Grasp essential concepts from contemporary business themes. Apply data science and analytics effectively within business and organizational contexts. Key Highlights Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our QUALIFI-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience.   Career Pathways Progress along a pathway to gain a Master's degree or beyond. About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements Possess a minimum of a Level 6 qualification in a related sector. Hold a Bachelor's degree. Demonstrate at least three years of relevant work experience showcasing current and pertinent industry knowledge. Individuals with substantial practical experience but lacking formal qualifications may also be considered in exceptional cases. Their eligibility will be determined through an interview process, where they must demonstrate their capacity to meet the program's demands Progression Upon completing the QUALIFI Level 7 Diploma in Data Science, learners have several promising progression pathways: QUALIFI Level 7 and/or 8 Diploma: Graduates can advance their education and expertise by enrolling in a QUALIFI Level 7 and/or Level 8 Diploma, which offers higher-level qualifications in their chosen field. Direct Employment in an Associated Profession: Learners can enter the workforce directly, securing employment in professions related to data science, analytics, and other relevant areas, applying their newly acquired skills and knowledge. Pursue a Master's Degree Dissertation: Graduates also have the option to undertake an appropriate dissertation-only program for a Master's Degree at one of QUALIFI's university partnerships. This pathway allows them to specialize further and advance their academic qualifications. Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. To know about the Qualification Structure, please get in touch with us at: admission@sbusinesslondon.ac.uk Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Duration 3 Days 18 CPD hours This course is intended for The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data. Overview After completing this course, students will be able to: ? Perform Power BI desktop data transformation. ? Describe Power BI desktop modelling. ? Create a Power BI desktop visualization. ? Implement the Power BI service. ? Describe how to connect to Excel data. ? Describe how to collaborate with Power BI data. ? Connect directly to data stores. ? Describe the Power BI developer API. ? Describe the Power BI mobile app. The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App. Introduction to Self-Service BI Solutions Introduction to business intelligence Introduction to data analysis Introduction to data visualization Overview of self-service BI Considerations for self-service BI Microsoft tools for self-service BI Lab : Exploring an Enterprise BI solution Introducing Power BI Power BI The Power BI service Lab : Creating a Power BI dashboard Power BI Using Excel as a data source for Power BI The Power BI data model Using databases as a data source for Power BI The Power BI service Lab : Importing data into Power BI Shaping and Combining Data Power BI desktop queries Shaping data Combining data Lab : Shaping and combining data Modelling data Relationships DAX queries Calculations and measures Lab : Modelling Data Interactive Data Visualizations Creating Power BI reports Managing a Power BI solution Lab : Creating a Power BI report Direct Connectivity Cloud data Connecting to analysis services Lab : Direct Connectivity Developer API The developer API Custom visuals Lab : Using the developer API Power BI mobile app The Power BI mobile app Using the Power BI mobile app Power BI embedded

Duration 4 Days 24 CPD hours This course is intended for This course is Intended for students with HTML Experience. Overview At the completion of the course, you will be able to: How PHP works. The basic syntax of PHP. Create dynamic interactive pages with PHP. Manipulate files with PHP. Work with arrays in PHP. Validate forms with PHP. Write functions in PHP. Manipulate and manage database data with PHP. Authenticate users with PHP. Manage sessions with PHP. Work with the MDB2 package. Learn advanced form validation with regular expressions. Send email with PHP. In this PHP training course, students will learn to create database-driven websites using PHP and MySQL or the database of their choice. PHP Basics How PHP Works The php.ini File Basic PHP Syntax Variables First PHP Script PHP Operators Creating Dynamic Pages Passing Variables via the Query String Flow Control Conditional Processing Working with Conditions Loops Working with Loops Arrays Enumerated Arrays Working with Enumerated Arrays Associative Arrays Working with Associative Arrays Two-dimensional Arrays Array Manipulation Functions PHP and HTML Forms HTML Forms Processing Form Input String Manipulation Formatting Strings Working with String Manipulation Functions Magic Quotes Reusing Code and Writing Functions Including Files Adding a Header and Footer User Functions Form Processing Form Validation and Presentation Functions Managing Data Querying a Database Inserting Records Authentication with PHP and SQL A Database-less Login Form Authenticating Users Regular Expressions Perl-compatible Regular Expression Functions Regular Expression Syntax Form Validation Functions with Regular Expressions Session Control and Cookies Sessions Cookies Authentication with Session Control Sending Email with PHP mail() PHPMailer Sending a Password by Email File System Management Opening a File Reading from a File Writing to a File Writing to a File File Locking Uploading Files via an HTML Form Getting File Information More File Functions Directory Functions Creating a Resume Management Page

The comprehensive Advanced SAS Programming With MacrosSQL has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Advanced SAS Programming With MacrosSQL today, and learn from the very best the industry has to offer! This best selling Advanced SAS Programming With MacrosSQL has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Advanced SAS Programming With MacrosSQL is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Advanced SAS Programming With MacrosSQL is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Advanced SAS Programming With MacrosSQL is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Advanced SAS Programming With MacrosSQL, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Advanced SAS Programming With MacrosSQL will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Advanced SAS Programming With MacrosSQL to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

This course is a perfect introduction for individuals and students interested in becoming cyber security/information security professionals. With this course, you will acquire well-rounded knowledge about the fundamental concepts of cyber/information security.

Getting Started The primary objective of this Diploma in Information Technology (IT) is to enhance learners' capacity to effectively address intricate applied computing challenges within the realm of information technology. Certainly, here are the key points summarizing the learning outcomes: Develop project management skills in IT. Explore the societal impact of information technology. Acquire the capability to design, plan, and organize technology-oriented projects. Demonstrate the ability to deliver projects on schedule, meeting high-quality standards, and adhering to budget constraints. Key Benefits Gain an understanding of the descriptions of internet protocols associated with each layer of the networking stack. Demonstrate the capability to evaluate the suitability of big data technologies for various usage scenarios. Demonstrate the ability to execute database operations using MySQL. Demonstrate the capability to assess how organizations construct, oversee, and sustain Management Information Systems (MIS). Acquire an understanding of the ethical dilemmas associated with artificial intelligence (AI) and robotics. Key Highlights Are you a practicing IT Professional seeking a greater knowledge and understanding of the industry, and to support your development into senior positions? Then, Qualifi Level 7 Diploma in IT is the ideal starting point for your career journey. The course will forge a career and help individuals prepare professional staff and managers of the future in the health and social care sector. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exams. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials, as well as study guides developed by our Qualifi-approved tutors, will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide you with comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completion of the Level 7 Diploma in IT, graduates may pursue various career paths in education and training, such as: Cybersecurity Analyst; with an estimated average salary of £49,061 per annum Network Security Specialist; with an estimated average salary ranging from £45,000 to £80,000 per annum Data Privacy Consultant; with an estimated average salary of £60,000 per annum Network Engineer; with an estimated average salary of £48,279 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Assignment based Assessment No exam Entry Requirements To be eligible for this Level 7 Qualification, applicants must meet one of the following entry criteria: Possess a Bachelor's degree in IT. Hold a Level 6 qualification in a relevant discipline. Demonstrate 3 to 4 years of work experience in a related field. Additionally, applicants must be aged 20 years or older. Progression Upon successful completion of the QUALIFI Level 7 Diploma in IT, learners will have the opportunity to advance in the following ways: Pursue a Master's degree in the pertinent discipline. Enter directly into employment within a related professional field.   Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Computer Networks Reference No : A/650/5650 Credit : 20 || TQT : 200 The primary goal of this unit is to enhance learners' comprehension of materials and networking technologies within the IT profession. UNIT2- Data Analytics Reference No : D/650/5651 Credit : 20 || TQT : 200 The primary objective of this unit is to cultivate advanced data analytics skills in learners. It also strives to empower learners to effectively utilize analytical tools and techniques in employment settings, enabling them to identify, elucidate, and leverage meaningful data patterns for a competitive advantage. UNIT3- Database Management Systems Reference No : F/650/5652 Credit : 20 || TQT : 200 The module's goal is to establish a solid groundwork in relational database management systems and offer practical, hands-on experience in using SQL for applications in data science and business analytics. UNIT4- Management Information Systems Reference No : H/650/5653 Credit : 20 || TQT : 200 The module's purpose is to facilitate learners in comprehending the importance and relevance of process-oriented Management Information Systems (MIS) in the context of the 21st century. UNIT5- Computers and Society Reference No : J/650/5654 Credit : 20 || TQT : 200 This unit evaluates the social, ethical, legal, and professional implications of computer technology. It also focuses on devising strategies to mitigate these issues and cultivate ethical behavior in the use of technology. UNIT6- Computing Projects Reference No : K/650/5655 Credit : 20 || TQT : 200 The primary objective of this unit is to enhance learners' comprehension of the reasons and methods businesses employ to develop e-commerce as an application of management strategies. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.