1127 Courses in Cardiff delivered Online

Microsoft® Project Goes Agile Through this engaging presentation, you will see how to use agile methods to track your projects in Project Online Desktop Client. You'll find out how to create new agile projects or apply agile views to your existing waterfall projects. In addition, you will learn how to: Track your projects using Scrum and Kanban methodologies, including viewing task boards, creating backlogs, and tracking sprints, as well as viewing reports on agile statistics. How to use agile methods to track your projects in Project Online Desktop Client Create new agile projects Apply agile views to your existing waterfall projects Track projects using Scrum and Kanban methodologies

Tired of browsing and searching for a Data Analysis and Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Analysis and Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Data Analysis and Data Science course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Data Analysis and Data Science and help you along your learning journey. Advanced audio-visual learning modules of these Data Analysis and Data Science courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Data Analysis and Data Science, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Data Analysis and Data Science Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Python for Data Analysis Course 03: Statistical Analysis Course 04: SQL NoSQL Big Data and Hadoop Course 05: Complete Microsoft Power BI 2021 Course 06: Data Analysis in Excel Level 3 Course Course 07: Data Analytics with Tableau Course 08: Basic Google Data Studio Course 09: Business Analytics Course 10: Complete Introduction to Business Data Analysis Level 3 Course 11: Business Intelligence and Data Mining Masterclass Course 12: Research Methods in Business Course 13: Computer Science: Graph Theory Algorithms Course 14: Data Protection and Data Security Level 2 Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning. How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course 02: Python for Data Analysis Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 03: Statistical Analysis Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Course 04: SQL NoSQL Big Data and Hadoop Module 01: Introduction Module 02: Relational Database Systems Module 03: Database Classification Module 04: Key-Value Store Module 05: Document-Oriented Databases Module 06: Search Engines Module 07: Wide Column Store Module 08: Time Series Databases Module 09: Graph Databases Module 10: Hadoop Platform Module 11: Big Data SQL Engines Module 12: Distributed Commit Log Module 13: Summary Course 05: Complete Microsoft Power BI 2021 Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date Course 06: Data Analysis in Excel Level 3 Course Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Course 07: Data Analytics with Tableau Module 01: Introduction to the Course Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Module 03: Project 2: Green Destinations (HR Analytics) Module 04: Project 3: Superstore (Sales Agent Tracker) Module 05: Northwind Trade (Shipping Analytics) Module 06: Project 5: Tesla (Stock Price Analytics) Module 07: Bonus: Introduction to Database Concepts Module 08: Tableau Stories Course 08: Basic Google Data Studio Module 01: Introduction to GDS Module 02: Data Visualization Module 03: Geo-visualization Module 04: A Socio-Economic Case Study Course 09: Business Analytics Module 01: What is business analysis? Module 02: Strategy analysis Module 03: Collaboration Module 04: Requirements analysis and Design definition Module 05: Requirements lifecycle management Module 06: Solution quality Module 07: Stakeholder management Module 08: BA Governance Module 09: Legal notes and Copyright information Course 10: Complete Introduction to Business Data Analysis Level 3 Module 1: Statistics Fundamentals Module 2: Data Analysis Module 3: Probability Module 4: Random Variables and Discrete Distributions Module 5: Continuous Distributions Module 6: Sampling Distributions Module 7: Confidence Interval Module 8: Hypothesis Testing with One Sample Module 9: Hypothesis Testing with Two Samples Module 10: The Chi-Square Distribution Module 11: F Distribution and One-Way ANOVA Module 12: Correlation analysis Module 13: Simple Linear Regression Analysis Course 11: Business Intelligence and Data Mining Masterclass Module 01: What is Business Intelligence? Module 02: Starting Case in understanding BI needs in diff phase of business Module 03: Decision Making Process and Need of IT systems Module 04: Problem Structure and Decision Support System Module 05: Introduction to BI Applications Module 06: Dashboard presentation systems Module 07: Different Types of Charts used in 131 Dashboards Module 08: Good Dashboard and BSC Module 09: Examples of Bad Dashboards 1 Module 10: Examples of Bad Dashboards 2 And much more... Course 12: Research Methods in Business Section 01: Applied Project & Research Methods in Business Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing Effectively Written Methodology Part 3 !@@ Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis Section 05: Comparing Findings to Literature and Writing the Final Paper Course 13: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid And much more... Course 14: Data Protection and Data Security Level 2 GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations CPD 165 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis and Data Science bundle. Requirements Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Is the thrill of solving mathematical conundrums your thing? Are you adept at distinguishing between polar coordinates and hyperbolic functions, or vectors and matrices? If so, our Edexcel accredited Further Mathematics A-Level online course beckons you. With unwavering support from your personal tutor, you'll develop the ability to construct and present mathematical arguments via diagrams, graphs, and symbols. Moreover, you'll refine your understanding of modelling assumptions, conquer quadratic equations with real coefficients, and broaden your mathematical horizons. Course Benefits: Get access to a new course aligned with the latest specifications, enriched with interactive and engaging content Avail of the Fast track option for exams in 2022 Access to partnership exam centres, ensuring a guaranteed exam venue Unlimited tutor support to help craft a study plan and assist throughout your learning journey Exam pass guarantee (we've got your back for the next exam if you don’t pass the first time). Awarding Body: The Edexcel, our awarding body, is the UK's largest awarding organisation that has been helping individuals achieve academic and vocational qualifications in schools, colleges, and workplaces in the UK and beyond for nearly two decades. Course code: X922 Qualification code: 9FMO Official Qualification Title: Further Maths A-Level ⏱ Study Hours: Allocate between 300 and 360 hours of study time, plus additional time for completing assignments. 👩‍🏫 Study Method: Experience a dynamic and engaging learning process via our online learning platform. If needed, the learning resources, which include videos, quizzes, and interactive activities, can be printed for offline study. 📆 Course Duration: The course will span up to 24 months from the date of enrolment. All your learning materials will be accessible on our MyOxbridge portal. 📋 Assessment: Enrolments are now open for Summer 2022 examinations. The course necessitates the completion of four standard A-level exams and various assignments. While the assignments don't contribute to the final grade, they allow you to get tutor feedback and help in monitoring your progress. We also provide a guaranteed exam space in our nationwide exam centres. 👩‍🎓 Course Outcomes: Successful completion earns you an A-Level in Further Mathematics, issued by Edexcel. This certificate holds the same value as that issued to students in any other educational institution. ℹ️ Additional Information: Official Qualification Title - Further Maths A-Level Level - Advanced (Level 3) Course Content: Our course curriculum includes but is not limited to Core Mathematics 1 & 2, Further Pure Mathematics 1 & 2, Statistics 1 & 2, Mechanics 1 & 2, and Decision 1 & 2. These units cover a wide array of topics, including proof, complex numbers, matrices, algebra and functions, calculus, vectors, polar co-ordinates, hyperbolic functions, differential equations, groups, number theory, sequences and series, discrete probability distributions, hypothesis testing, central limit theorem, chi squared testing, linear regression, continuous probability distributions, correlation, combination of random variables, confidence intervals, moments and impulse, work, energy, and power, elastic springs and strings, elastic collisions, motion in a circle, centre of mass, further dynamics, further kinematics, algorithms, graphs, critical path analysis, linear programming, transportation problems, allocation problems, flows in networks, dynamic programming, game theory, recurrence relationship, and decision analysis.

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before. Diploma of Landscape Architecture (Online) - CPD Certified Did you know that demand for Landscape Architects in the UK has soared by 20% in the last five years? Propel your career forward with our online "Diploma of Landscaping" course, offering CPD-certified, comprehensive, 4-in-1 bundled learning. Immerse yourself in a journey from fundamentals to advanced concepts taught by experienced professionals. Our structured, easy-to-follow modules equip you with the right skills and knowledge to excel in this rapidly-growing field. Set your career in motion today and become a part of the thriving £1 billion UK landscaping industry. Explore new horizons, learn from experts, and craft your future with the Diploma of Landscaping (Online). Courses Are Included in this Diploma of Landscaping (Online) - CPD Certified Bundle: Course 01: Diploma in Landscape Architecture at QLS Level 4 Course 02: Advanced Diploma in Architectural Studies at QLS Level 7 Course 03: Land Management Course Course 04: Environment Management Course Learning Outcomes of Landscape Architecture Gain comprehensive knowledge of landscaping principles, techniques, and design principles, with a focus on sustainability and environmental considerations. Develop practical skills in landscape planning, site analysis, and project management, enabling you to execute professional landscaping projects. Understand the UK landscaping industry's current trends and market demands, backed by up-to-date statistics and insights. Acquire proficiency in using industry-standard software and tools for landscape design, enhancing your efficiency and productivity. Receive a CPD certification upon completion, boosting your credibility and increasing your chances of securing lucrative job opportunities in the growing UK landscaping sector. Data: According to the Landscape Institute, the landscaping industry in the UK generates approximately £1 billion in revenue annually. Furthermore, the demand for skilled landscape architects is projected to grow by 14% by 2027, as reported by the Office for National Statistics. Why Choose Our Landscape Architecture Course? FREE Landscape Architecture certificate accredited Get a free student ID card with Landscape Architecture Training Learn Landscape Architecture from anywhere in the world Landscaping is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Lifetime access to the Landscape Architecture course materials Landscaping comes with 24/7 tutor support So enrol now in this Landscape Architecture Today to advance your career! Start your learning journey straightaway with Diploma of Landscape Architecture! This Landscape Architecture curriculum has been designed by Landscape Architectureexperts with years of experience behind them. This course is extremely dynamic and well-paced to help you understand Landscape Architecture with ease. You'll discover how to master the Landscaping skill while exploring relevant and essential topics. Assessment Process of Diploma of Landscape Architecture Once you have completed all the courses in the Landscape Architecture bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Diploma of Landscape Architecture (Online) - CPD Certified This Diploma of Landscape Architecture bundle is suitable for everyone. Requirements Diploma of Landscape Architecture (Online) - CPD Certified You will not need any prior background or expertise to enrol in this Diploma of Landscaping . Career path Diploma of Landscape Architecture (Online) - CPD Certified This Diploma of Landscape Architecture bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - £29 If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

The Landscape Horticulture Certificate and Plant Nutrition Training course provide comprehensive knowledge and skills in horticulture, including plant nutrition, soil science, plant propagation, landscaping, and garden design. Participants will learn about plant classification, pest control, ornamental horticulture, and permaculture, preparing them for a rewarding career in the field of landscape horticulture. Learning Outcomes: Understand the fundamental concepts of botany and plant classification. Gain insights into soil science, plant nutrition requirements, and the importance of plant health. Learn about plant pests and diseases, and explore methods for organic gardening and weed control. Acquire skills in plant propagation and the selection of native and exotic plants. Master techniques for indoor plant care, lawn maintenance, and planting in different environments. Familiarize with plant protection, landscaping principles, and garden design. Discover the principles and practices of permaculture, arboriculture, and ornamental horticulture. Gain knowledge of horticulture statistics and recent developments in the industry. Why buy this Horticultural and Plant Nutrition Training? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Horticultural and Plant Nutrition Training you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Horticultural and Plant Nutrition Training does not require you to have any prior qualifications or experience. You can just enrol and start learning. Prerequisites This Horticultural and Plant Nutrition Training 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Horticultural and Plant Nutrition Training is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Module 01: Basic Botany Basic Botany 00:28:00 Module 02: Plant Classification Plant Classification 00:11:00 Module 03: Soil Science Soil Science 00:23:00 Module 04: Plant Nutrition Requirements Plant Nutrition Requirements 00:22:00 Module 05: Plant Pests and Diseases Plant Pests and Diseases 00:41:00 Module 06: Basic Concepts of Organic Gardening Basic Concepts of Organic Gardening 00:21:00 Module 07: Weed Control Weed Control 00:20:00 Module 08: Plant Propagation Plant Propagation Part 01 00:31:00 Plant Propagation Part 02 00:42:00 Module 09: Amenity Horticulture, Plant Selection and Native Plants Amenity Horticulture, Plant Selection and Native Plants 00:36:00 Module 10: Exotic Plants Exotic Plants 00:35:00 Module 11: Indoor Plants Indoor Plants 00:30:00 Module 12: Lawns Lawns 00:13:00 Module 13: Planting and Plant Care Planting and Plant Care 00:10:00 Module 14: Plant Nodes and Indigenous Plants Plant Nodes and Indigenous Plants 00:21:00 Module 15: Plant Protection, Landscaping and Garden Design Plant Protection, Landscaping and Garden Design 00:23:00 Module 16: Ornamental Horticulture Ornamental Horticulture 00:20:00 Module 17: Permaculture Permaculture 00:16:00 Module 18: Arboriculture Arboriculture 00:11:00 Module 19: Horticulture Statistics Horticulture Statistics 00:33:00 Module 20: Results from the 2018 Seasonal Labour in Horticulture End of Year Results from the 2018 Seasonal Labour in Horticulture End of Year 00:35:00 Mock Exam Mock Exam - Landscape Horticulture Certificate and Plant Nutrition Training 00:20:00 Final Exam Final Exam - Landscape Horticulture Certificate and Plant Nutrition Training 00:20:00

Gain the skills and credentials to kickstart a successful career in the technology industry and learn from the

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Duration 4 Days 24 CPD hours This course is intended for The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications. This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases. Prerequisites In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses: AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Prepare to maintain SQL databases on Azure Describe Microsoft Intelligent Data Platform roles Understand SQL Server in an Azure virtual machine Design Azure SQL Database for cloud-native applications Explore Azure SQL Database Managed Instance 2 - Deploy IaaS solutions with Azure SQL Explain IaaS options to deploy SQL Server in Azure Understand hybrid scenarios Explore performance and security Explain high availability and disaster recovery options 3 - Deploy PaaS solutions with Azure SQL Explain PaaS options for deploying SQL Server in Azure Explore single SQL database Deploy SQL database elastic pool Understand SQL database hyperscale Examine SQL managed instance Describe SQL Edge 4 - Evaluate strategies for migrating to Azure SQL Understand compatibility level Understand Azure preview features Describe Azure database migration options 5 - Migrate SQL workloads to Azure SQL databases Choose the right SQL Server Instance option in Azure Migrate SQL Server to Azure SQL Database offline Migrate SQL Server to Azure SQL Database online Load and move data to Azure SQL Database 6 - Migrate SQL workloads to Azure Managed Instances Evaluate migration scenarios to SQL Database Managed Instance Migrate to SQL Database Managed Instance Load and Move data to SQL Database Managed Instance 7 - Configure database authentication and authorization Describe Active Directory and Azure Active Directory Describe authentication and identities Describe Security Principals Describe database and object permissions Identify authentication and authorization failures 8 - Protect data in-transit and at rest Explore Transparent Data Encryption Configure server and database firewall rules Explain object encryption and secure enclaves Enable encrypted connections Describe SQL injection Understand Azure Key Vault 9 - Implement compliance controls for sensitive data Explore data classification Explore server and database audit Implement Dynamic Data Masking Implement Row Level security Understand Microsoft Defender for SQL Explore Azure SQL Database Ledger Implement Azure Purview 10 - Describe performance monitoring Describe performance monitoring tools Describe critical performance metrics Establish baseline metrics Explore extended events Describe Azure SQL Insights Explore Query Performance Insight 11 - Configure SQL Server resources for optimal performance Explain how to optimize Azure storage for SQL Server virtual machines Describe virtual machine resizing Optimize database storage Control SQL Server resources 12 - Configure databases for optimal performance Explore database maintenance checks Describe database scoped configuration options Describe automatic tuning Describe intelligent query processing 13 - Explore query performance optimization Understand query plans Explain estimated and actual query plans Describe dynamic management views and functions Explore Query Store Identify problematic query plans Describe blocking and locking 14 - Evaluate performance improvements Describe wait statistics Tune and maintain indexes Understand query hints 15 - Explore performance-based design Describe normalization Choose appropriate data types Design indexes 16 - Automate deployment of database resources Describe deployment models in Azure Automate deployment by using Azure Resource Manager templates and Bicep Automate deployment by using PowerShell Automate deployment by using Azure CLI 17 - Create and manage SQL Agent jobs Create a SQL Server maintenance plan Describe task status notifications 18 - Manage Azure PaaS tasks using automation Explore Elastic jobs Understand Azure Automation Build an automation runbook Automate database workflows by using Logic Apps Monitor automated tasks 19 - Describe high availability and disaster recovery strategies Describe recovery time objective and recovery point objective Explore high availability and disaster recovery options Describe Azure high availability and disaster recovery features for Azure Virtual Machines Describe high availability and disaster recovery options for PaaS deployments Explore an IaaS high availability and disaster recovery solution Describe hybrid solutions 20 - Explore IaaS and PaaS solutions for high availability and disaster recovery Describe failover clusters in Windows Server Configure Always-on availability groups Describe temporal tables in Azure SQL Database Describe active geo-replication for Azure SQL Database Explore auto-failover groups for Azure SQL Database and Azure SQL Managed Instance 21 - Back up and restore databases Back up and restore SQL Server running on Azure virtual machines Back up a SQL Server virtual machine Back up and restore a database using Azure SQL Database Additional course details: Nexus Humans DP-300T00: Administering Microsoft Azure SQL Solutions 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 DP-300T00: Administering Microsoft Azure SQL Solutions 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 The information protection administrator translates an organization?s risk and compliance requirements into technical implementation. They are responsible for implementing and managing solutions for content classification, data loss prevention (DLP), information protection, data lifecycle management, records management, privacy, risk, and compliance. They also work with other roles that are responsible for governance, data, and security to evaluate and develop policies to address an organization's risk reduction and compliance goals. This role assists workload administrators, business application owners, human resources departments, and legal stakeholders to implement technology solutions that support the necessary policies and controls. Learn how to protect information in your Microsoft 365 deployment. This course focuses on data lifecycle management and information protection and compliance within your organization. The course covers implementation of data loss prevention policies, sensitive information types, sensitivity labels, data retention policies, Microsoft Purview Message Encryption, audit, eDiscovery, and insider risk among other related topics. The course helps learners prepare for the Microsoft Information Protection Administrator exam (SC-400). Prerequisites Foundational knowledge of Microsoft security and compliance technologies. Basic knowledge of information protection concepts. Understanding of cloud computing concepts. Understanding of Microsoft 365 products and services. 1 - Introduction to information protection and data lifecycle management in Microsoft Purview Know your data Protect your data Prevent data loss Govern your data 2 - Classify data for protection and governance Data classification overview Classify data using sensitive information types Classify data using trainable classifiers Review sensitive information and label usage Explore labeled and sensitive content Understand activities related to your data 3 - Create and manage sensitive information types Compare built-in versus custom sensitive information types Create and manage custom sensitive information types Describe custom sensitive information types with exact data match Implement document fingerprinting Create keyword dictionary 4 - Understand Microsoft 365 encryption Learn how Microsoft 365 data is encrypted at rest Understand service encryption in Microsoft Purview Explore customer key management using Customer Key Learn how data is encrypted in-transit 5 - Deploy Microsoft Purview Message Encryption Implement Microsoft Purview Message Encryption Implement Microsoft Purview Advanced Message Encryption Use Microsoft Purview Message Encryption templates in mail flow rules 6 - Protect information in Microsoft Purview Information protection overview Configure sensitivity labels Configure sensitivity label policies Configure auto-labeling policies Manage, monitor, and remediate information protection 7 - Apply and manage sensitivity labels Apply sensitivity labels to Microsoft Teams, Microsoft 365 groups, and SharePoint sites Plan on-premises labeling Configure on-premises labeling for the Unified Labeling Scanner Apply protections and restrictions to email and files Monitor label performance using label analytics 8 - Prevent data loss in Microsoft Purview Data loss prevention overview Identify content to protect Define policy settings for your DLP policy Test and create your DLP policy Prepare Endpoint DLP Manage DLP alerts in the Microsoft Purview compliance portal View data loss prevention reports Implement the Microsoft Purview Extension 9 - Configure DLP policies for Microsoft Defender for Cloud Apps and Power Platform Configure data loss prevention policies for Power Platform Integrate data loss prevention in Microsoft Defender for Cloud Apps Configure policies in Microsoft Defender for Cloud Apps Manage data loss prevention violations in Microsoft Defender for Cloud Apps 10 - Manage data loss prevention policies and reports in Microsoft 365 Configure data loss prevention for policy precedence Implement data loss prevention policies in test mode Explain data loss prevention reporting capabilities Manage permissions for data loss prevention reports Manage and respond to data loss prevention policy violations 11 - Manage the data lifecycle in Microsoft Purview Data Lifecycle Management overview Configure retention policies Configure retention labels Configure manual retention label policies Configure auto-apply retention label policies Import data for Data Lifecycle Management Manage, monitor, and remediate Data Lifecycle Management 12 - Manage data retention in Microsoft 365 workloads Explain retention in Exchange Online Explain retention in SharePoint Online and OneDrive Explain retention in Microsoft Yammer Activate archive mailboxes in Microsoft Exchange Apply mailbox holds in Microsoft Exchange Recover content in Microsoft Exchange 13 - Manage records in Microsoft Purview Records management overview Import a file plan Configure retention labels Configure event driven retention Manage, monitor, and remediate records 14 - Explore compliance in Microsoft 365 Plan for security and compliance in Microsoft 365 Plan your beginning compliance tasks in Microsoft Purview Manage your compliance requirements with Compliance Manager Examine the Compliance Manager dashboard Analyze the Microsoft Compliance score 15 - Search for content in the Microsoft Purview compliance portal Explore Microsoft Purview eDiscovery solutions Create a content search View the search results and statistics Export the search results and search report Configure search permissions filtering Search for and delete email messages 16 - Manage Microsoft Purview eDiscovery (Standard) Explore Microsoft Purview eDiscovery solutions Implement Microsoft Purview eDiscovery (Standard) Create eDiscovery holds Search for content in a case Export content from a case Close, reopen, and delete a case 17 - Manage Microsoft Purview eDiscovery (Premium) Explore Microsoft Purview eDiscovery (Premium) Implement Microsoft Purview eDiscovery (Premium) Create and manage an eDiscovery (Premium) case Manage custodians and non-custodial data sources Analyze case content 18 - Manage Microsoft Purview Audit (Standard) Explore Microsoft Purview Audit solutions Implement Microsoft Purview Audit (Standard) Search the audit log Export, configure, and view audit log records Use audit log searching to investigate common support issues 19 - Prepare Microsoft Purview Communication Compliance Plan for communication compliance Identify and resolve communication compliance workflow Case study--Configure an offensive language policy Investigate and remediate communication compliance alerts 20 - Manage insider risk in Microsoft Purview Insider risk management overview Create and manage insider risk policies Investigate insider risk alerts Take action on insider risk alerts through cases Manage insider risk management forensic evidence Create insider risk management notice templates 21 - Implement Microsoft Purview Information Barriers Explore Microsoft Purview Information Barriers Configure information barriers in Microsoft Purview Examine information barriers in Microsoft Teams Examine information barriers in OneDrive Examine information barriers in SharePoint 22 - Manage regulatory and privacy requirements with Microsoft Priva Create and manage risk management policies Investigate and remediate risk management alerts Create rights requests Manage data estimate and retrieval for rights requests Review data from rights requests Get reports from rights requests 23 - Implement privileged access management Case study--Implementing privileged access management 24 - Manage Customer Lockbox Manage Customer Lockbox requests

Get a Free 1 QLS Endorsed Certificate Course with 10 Additional CPDQS Accredited Bundle Courses In A Single Payment. Unlock the doors to a fulfilling career in data entry with our comprehensive Diploma in Data Entry. This online course is designed to equip you with the fundamental skills and knowledge needed to excel in the field of data entry. With 10 comprehensive courses, you'll develop proficiency in a wide range of areas, including office administration, data protection and security, Microsoft Excel, and touch typing. Our Diploma in Data Entry is ideal for anyone seeking to start a career in data entry, or for those already in the field looking to advance their skills. Our flexible online learning model allows you to study at your own pace and at a time and place that suits you best, giving you the freedom to balance your studies alongside your work or personal life. This Bundle Package includes: Course 01: Diploma in Data Entry Administrator at QLS Level 3 10 Additional CPDQS Accredited Premium Courses - Course 01: Office Administration & Skills Diploma Course 02: Document Control Course 03: Understanding Data Protection and Data Security Course 04: Complete Microsoft Word Course 05: Microsoft Excel - Beginner, Intermediate & Advanced Course 06: Craft Excel Pivot Tables for Data Reporting Course 07: Email Etiquette Course 08: Touch Typing Masterclass - Updated Version Course 09: Transcription Level 3 Course 10: Workplace Confidentiality Data entry may be an excellent job to explore if you want to use your keyboarding expertise and ability to work under pressure. In addition, a career in data entry may take you into a wide range of businesses, as firms from many industries hire for these roles. So, what is your trouble? Participate in our course and gain the rewards afterwards in your career. Learning Outcomes: Develop data entry skills to excel in the modern workplace. Learn the principles of data protection and confidentiality to ensure workplace compliance. Gain proficiency in Microsoft Word and Excel to create professional documents and spreadsheets. Craft pivot tables for data reporting to facilitate effective decision-making. Learn transcription and touch typing to increase productivity and efficiency. Develop email etiquette skills to improve communication and collaboration. Upon completion of the Data Entry course, you will be able to, Improve your grasp of the data entry business. Be able to utilise Microsoft Excel to make your job more efficient. Create and change worksheet formulae. You will learn how to categorise data. You will learn how to safeguard data. You'll discover how to handle workbooks and their attributes. Acquire the information and abilities required to operate expertly in the IT business. Be able to leverage statistics packages. The Diploma in Data Entry is a comprehensive program designed to provide students with the essential skills required for a successful career in data entry. This diploma consists of ten courses, including office administration, document control, data protection, Microsoft Word, Microsoft Excel, pivot tables for data reporting, email etiquette, touch typing, transcription, and workplace confidentiality. The program begins with an introduction to office administration and essential skills required to succeed in today's modern workplace. The course then moves on to cover data protection and confidentiality, providing students with an understanding of legal obligations and best practices for data management. Students then learn Microsoft Word and Excel, including pivot tables for data reporting, to enable the creation of professional documents and effective data analysis. Additionally, the program offers courses on email etiquette, touch typing, and transcription to increase productivity and efficiency in the workplace. Finally, students learn about workplace confidentiality, providing them with an understanding of the legal requirements of confidentiality in the workplace. The Diploma in Data Entry is an excellent investment for anyone seeking to improve their data entry skills and advance their career prospects. *** Course Curriculum: *** Course 01: Diploma in Data Entry Administrator at QLS Level 3 Module 1: Introduction Module 2: Using the Computer Module 3: Common Rules and Guidelines Module 4: Using Excel for Efficient Data Entry Module 5: Using Excel's Flash Fill and Autofill to Automate Data Entry Module 6: How to Create Form in Excel? Module 7: Using Statistics Packages CPD 220 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals looking to develop data entry skills for the modern workplace. Office administrators seeking to improve their skills and knowledge. Professionals seeking to learn data protection and confidentiality best practices. Students looking to improve their employability prospects. Anyone interested in developing their Microsoft Word and Excel skills. Requirements You will not need any prior background or expertise. All you need to take this course is - A smart device. A secure internet connection. Being over the age of 16. And a strong drive for learning and literacy. Career path Data Entry Clerk: £18,000 - £22,000 per year Office Administrator: £18,000 - £24,000 per year Administrative Assistant: £16,000 - £24,000 per year Data Analyst: £21,000 - £38,000 per year Executive Assistant: £22,000 - £40,000 per year Transcriptionist: £17,000 - £25,000 per year Certificates Diploma in Data Entry Administrator at QLS Level 3 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Data Entry Administrator at QLS Level 3, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with completely free of charge in this package. For Additional the Quality Licence Scheme Endorsed Certificate, you have to pay the price based on the Level of these Courses: Level 1 - £59 Level 2 - £79 Level 3 - £89 Level 4 - £99 Level 5 - £119 Level 6 - £129 Level 7 - £139 Certificate Accredited by CPDQS 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery) Certificate Accredited by CPDQS Digital certificate - £10