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SEN Teacher Training - Special Educational Needs Are you ready to significantly impact the lives of students with special educational needs? Our SEN Teacher Training - Special Educational Needs course offers a comprehensive exploration of critical topics essential for Special Needs Education Teachers. This course is your path to becoming an influential and dedicated educator in special education. As the SEN Teacher Training - Special Educational Needs course begins, you will gain a deep understanding of the legal framework and regulations that govern special education. Besides, you will acquire the skills to analyse how different disabilities and conditions impact the students' participation, engagement, and academic performance. Moreover, this SEN Teacher Training - Special Educational Needs course will assist you in developing leadership skills that are essential for making a difference in the lives of students with SEN. One of the foundations of excellent SEN teaching is understanding how disabilities and conditions affect participation and learning. We break down the learning profiles of SEN conditions like dyslexia, ADHD, and autism spectrum disorder so that you can understand your students' specific problems. With this knowledge, you can develop targeted strategies to unlock each student's potential. In this SEN Teacher Training - Special Educational Needs course, you will learn step-by-step methods for assessment, individualised education plans, differentiation, and evidence-based techniques to enhance learning and engagement. You will also explore the roles and functions contributing to successful support for students with special needs. Enrol now in the SEN Teacher Training - Special Educational Needs course and gain the knowledge to help every child thrive in an academically, socially, and emotionally supportive environment. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training After you have successfully completed your assignment, you will be qualified to apply for a CPD Certification from The Teachers Training. The PDF certificate can be downloaded after you have completed your course. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. SEN Teacher Training - Special Educational Needs Module 1: Special Needs Education Teacher Special Educational Needs (SEN) Teacher 00:11:00 Module 2: Statutory and Regulatory Context for SEN Statutory and Regulatory Context for SEN 01:02:00 Module 3: Principles and Practice of Leadership in Different Contexts Principles and Practice of Leadership in Different Contexts 00:33:00 Module 4: How SEN and Disabilities Affect Pupils' Participation and Learning How SEN and Disabilities Affect Participation and Learning 00:31:00 Module 5: Strategies for Improving the Performance of the Pupils with SEN Strategies for Improving the Performance of the Pupils with SEN 00:18:00 Module 6: Whole-School Planning and Organisation Whole-school Planning and Organisation 01:04:00 Module 7: Assessment Assessment 00:14:00 Module 8: Teamwork for SEN: Roles and Functions Teamwork for SEN Roles and Functions 01:05:00 Module 9: Planning for Individual Students with SEN Planning for Individual Students with SEN 00:22:00 Module 10: Teaching and Learning in the Inclusive School Teaching and Learning in the Inclusive School 00:40:00

Whether you're crafting a compelling blog, scrutinising a screenplay, or decoding ad scripts, you need to deploy and perceive language with the target audience at heart. The A-Level English Language course, designed for the self-paced scholar, empowers you to refine your command of a tongue embraced by 390 million worldwide 🌍. Delve into a comprehensive array of texts and augment your critical understanding with our bespoke course.  If your aspirations hinge on written and spoken communication, English Language is a powerful asset to bolster your career trajectory. A-Levels are not just qualifications; they're a testament to your proficiency, a beacon recognised and respected by universities and employers across the UK. An A-Level is not just a line on your CV, but a symbol of academic rigour, enhancing your career prospects and unlocking new horizons 🌈. This distance learning course, sculpted to the most current specifications, is your stepping stone to success. It kicks off with a lucid induction and assignments intricately designed to help you accumulate the skills and knowledge needed for the final hurdle - the exam 🎯. What's in it for you?  A fresh, invigorating course tailored to the latest specifications with dynamic content 📚 The fast track option (exams due 2022) for those eager to accelerate their progress ⏩ A complimentary e-textbook to facilitate your learning 📖 Access to a consortium of partnership exam centres (guaranteed exam venue) 📍 Limitless tutor support - from drafting a study plan to unwavering support throughout your journey 📈 An exam pass guarantee - If at first you don't succeed, we'll steer you towards your next attempt 🥇 Awarding Body: AQA Our course code: X903 Qualification code: 7702 AQA qualifications are not only internationally acclaimed and taught in 30 countries but also highly sought after by employers and universities. They enable students to springboard into the next stage of their lives. Our suite of AQA qualifications caters to a diverse range of abilities and includes GCSEs, IGCSEs, and A-levels 🏅. ⏳ Study Hours Anticipate committing between 250 and 300 hours to this comprehensive course. This estimate includes time dedicated to the completion of assignments.  💻 Study Method Our digital learning platform offers an engaging, dynamic, and flexible learning experience. Should you prefer hard copies, all learning materials can be printed at your convenience. We utilise a multitude of media to deliver this course, including videos, quizzes, and interactive exercises.  📚 Course Duration Embark on your learning voyage today. Benefit from unlimited support from our dedicated tutors for up to 24 months from your enrolment date. ✍️ Assessment Examinations are scheduled from Summer 2022. Your course will culminate in two standard written exams: Official Examinations: 2 hours 30 minutes, accounting for 40% of your total grade 2 hours 30 minutes, accounting for 40% of your total grade 1 coursework task, contributing 20% of your total grade (refer to NEA section) We will provide a guaranteed exam location at one of our many centres nationwide for your convenience. Assignments During your course journey, you will be asked to complete: • 10 assignments These are non-graded tasks designed to provide opportunities for tutor feedback and to gauge your progress. Non-exam Assessment (NEA): • 1 coursework task, contributing 20% of your total grade This coursework, part of the A-level assessment, is completed during your learning journey and forwarded to your exam centre for marking. More details will be provided upon enrolment. 🎓 Course Outcomes Upon successful completion, you will be awarded an A-Level in English Language by AQA (7702). This syllabus is specifically selected for its compatibility with distance learning. Your certification will be identical to those conferred by traditional schools, colleges, and universities. 📚 Additional Information Difficulty - Level 3 Pre-requisites - A strong recommendation of prior study in English language to GCSE level or equivalent. UCAS Points - 56 📘 Course Content Methods of language analysisPhonetics, phonology and prosodicsGraphologyLexis and semanticsGrammar, including morphologyPragmaticsDiscourse Textual variations and representationsThe textual range (various subjects, writers, audiences)Functions of the textsIdentity and representationsHow audiences are addressed and positionedStructure and organisation of the texts Children’s language developmentPhonological, pragmatic, lexical, semantic and grammatical developmentThe development of written languageThe functions of children’s languageTheories and research about language development Diversity and changeLanguage in its wider social, geographical and temporal contextsProcesses of language changeSocial attitudes to language diversity and change Language discoursesStudying texts that convey attitudes to language diversity and changeMethods of conveying views and opinions about language issues: representations, identities and positioning.Connecting to discourses about languageThe directed writing task Language Investigation (NEA)Choosing an investigation focusCarrying out the investigation (including ethics, record keeping and referencing)Organising and analysing the data and interpretation of findingsConcluding your investigation Original writing (NEA)An overview of the assessment and marking criteria, including organising and referencing workChoosing your area of original writing (Power of persuasion, storytelling & power of information)Choosing and analysing style modelsProducing a reflective commentary Preparing for the A Level examinationsRevision TipsExam TechniquesPreparing for Paper 1Preparing for Paper 2 Delve into the subtleties and nuances of the English language, studying everything from phonetics to pragmatics, grammar to graphology, and language development to discourses. This course will provide you with a comprehensive understanding of the richness and diversity of English, equipping you with the knowledge and skills needed for your A-Level examination.

Are you interested in learning and deploying applications at scale using Google Cloud platform? Do you lack hands-on exposure when it comes to deploying applications and seeing them in action? Then this course is for you. You will also learn microservices and event-driven architectures with real-world use case implementations.

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

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***24 Hour Limited Time Flash Sale*** Learn C++ Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Learn C++ from Scratch: The Complete Coding Guide Bundle provides unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Learn C++ from Scratch: The Complete Coding Guide bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. 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Dive into the heart of programming with our course, 'C++ Development: The Complete Coding Guide,' where coding becomes an art and a language in itself. From setting up your development environment to exploring advanced concepts like classes and file I/O, this course is your gateway to mastering the intricate world of C++. Each section unfolds a new layer, unraveling the mystery behind operators, functions, and the mighty preprocessor. It's not just about learning syntax; it's about crafting elegant and efficient code that speaks the language of innovation. Join us on this coding adventure, where your journey from a novice to a C++ maestro awaits! Learning Outcomes Master the fundamentals of C++ programming, from setup to advanced data types. Explore the intricacies of operators, string streams, and control flow statements. Develop a deep understanding of functions and their role in code efficiency. Delve into advanced concepts like classes, file I/O, and the powerful preprocessor. Hone your coding skills with practical exercises and real-world applications. Why choose this C++ Development: The Complete Coding Guide course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this C++ Development: The Complete Coding Guide course for? Aspiring programmers eager to delve into the world of C++ development. Students pursuing computer science or related disciplines. Professionals looking to enhance their coding expertise. Tech enthusiasts curious about the inner workings of C++. Anyone seeking a dynamic skill set in the competitive world of programming. Career path Junior C++ Developer: £25,000 - £35,000 Software Engineer: £30,000 - £45,000 Senior C++ Programmer: £40,000 - £60,000 System Architect: £50,000 - £70,000 Technical Lead: £60,000 - £80,000 Chief Technology Officer (CTO): £80,000 and above Prerequisites This C++ Development: The Complete Coding Guide does not require you to have any prior qualifications or experience. You can just enrol and start learning.This C++ Development: The Complete Coding Guide was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction & Setting Up Introduction 00:04:00 What Is C++? 00:03:00 Setting up A Project 00:07:00 Section 02: Basics Console Out 00:04:00 Data Types 00:03:00 Variables 00:04:00 Console In 00:03:00 Strings 00:04:00 Constants 00:05:00 Section 03: Operators Assignment Operator 00:03:00 Arithmetic Operators 00:04:00 Compound Assignment Operator 00:03:00 Increment & Decrement Operators 00:04:00 Relation & Comparison Operators 00:06:00 Logical Operators 00:07:00 Conditional Ternary Operator 00:04:00 Comma Operator 00:03:00 Type Casting Operator 00:02:00 Bitwise Operators 00:12:00 Size of Operator 00:03:00 Operator Precedence 00:05:00 Section 04: String Streams String Streams 00:04:00 Section 05: Statements & Loops Conditional Statements 00:07:00 For Loop 00:04:00 While Loop 00:03:00 Do While Loop 00:04:00 Range-Based For Loop 00:03:00 GoTo Statement 00:04:00 Switch Statement 00:05:00 Section 06: Functions Functions 00:03:00 Function Return Statement 00:04:00 Function Arguments Passed By Value 00:05:00 Function Arguments Passed By Reference 00:05:00 Function Parameter Default Values 00:03:00 Overloaded Functions 00:04:00 Function Templates 00:04:00 Namespaces 00:06:00 Section 07: Advanced Data Types Arrays 00:03:00 Multidimensional Arrays 00:03:00 References 00:02:00 Pointers 00:04:00 Delete Operator 00:02:00 Struct 00:04:00 Type Aliasing 00:03:00 Unions 00:04:00 Enumerators 00:04:00 Section 08: Classes Introduction to Classes 00:05:00 Class Access 00:04:00 Class Constructor 00:05:00 Class Pointers 00:04:00 Overloading Operators 00:06:00 This Keyword 00:04:00 Constant Objects 00:03:00 Getters and Setters 00:05:00 Static Variables 00:04:00 Static Functions 00:06:00 Template Classes 00:05:00 Class Destructor 00:04:00 Class Copy Constructor 00:03:00 Friend Function 00:06:00 Friend Class 00:06:00 Class Inheritance 00:07:00 Multiple Class Inheritance 00:05:00 Virtual Methods 00:04:00 Abstract Base Class 00:03:00 Section 09: Errors Error Handling 00:04:00 Section 10: The Mighty Preprocessor Preprocessor Macro Definitions 00:04:00 Preprocessor Conditional Directives 00:05:00 Preprocessor Line Directive 00:04:00 Preprocessor Error Directive 00:03:00 Preprocessor Source File Inclusion 00:02:00 Section 11: File I/O Opening A File 00:06:00 Writing to a File 00:04:00 Section 12: Extras Commenting 00:04:00 Class Header and Implementation 00:09:00 Lists 00:04:00 Vectors 00:05:00 Resource Resource - C++ Development: The Complete Coding Guide 00:00:00 Assignment Assignment - C++ Development: The Complete Coding Guide 00:00:00

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure 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-203T00 Data Engineering on Microsoft Azure course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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