744 SQL courses

Duration 1 Days 6 CPD hours This course is intended for This class is intended for the following: Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform. Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports. Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists. Overview This course teaches students the following skills:Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.Employ BigQuery and Cloud Datalab to carry out interactive data analysis.Train and use a neural network using TensorFlow.Employ ML APIs.Choose between different data processing products on the Google Cloud Platform. This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. Introducing Google Cloud Platform Google Platform Fundamentals Overview. Google Cloud Platform Big Data Products. Compute and Storage Fundamentals CPUs on demand (Compute Engine). A global filesystem (Cloud Storage). CloudShell. Lab: Set up a Ingest-Transform-Publish data processing pipeline. Data Analytics on the Cloud Stepping-stones to the cloud. Cloud SQL: your SQL database on the cloud. Lab: Importing data into CloudSQL and running queries. Spark on Dataproc. Lab: Machine Learning Recommendations with Spark on Dataproc. Scaling Data Analysis Fast random access. Datalab. BigQuery. Lab: Build machine learning dataset. Machine Learning Machine Learning with TensorFlow. Lab: Carry out ML with TensorFlow Pre-built models for common needs. Lab: Employ ML APIs. Data Processing Architectures Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow. Reference architecture for real-time and batch data processing. Summary Why GCP? Where to go from here Additional Resources Additional course details: Nexus Humans Google Cloud Platform Big Data and Machine Learning Fundamentals 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 Platform Big Data and Machine Learning Fundamentals 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 intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

If you are a newbie in the field of ethical hacking or want to become an ethical hacker, this course is just what will get you started. This is a comprehensive course with real-world examples to help you understand the fundamentals of hacking and cyber security.

Description: Microsoft Access is a database management system that has lots of features and functions to offer. To create mailing labels, work with SQL and publish a Web database in Microsoft Access, you need to learn at an advanced level. Through this course, you will learn the advanced skills, knowledge, and information about Microsoft Access 2010. You can then create and use the advanced forms and tasks to do even more in Access.In this course you will learn the necessary skills, knowledge and information of Microsoft Access 2010.  Who is the course for? Professionals who want to learn about the Microsoft Access 2010 People who have an interest in the advanced features of the Access 2010 Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Microsoft Access 2010 Advanced Level course is a useful qualification to possess and would be beneficial for following careers: Software Engineer Technical Support Technical Sales Business Analyst Web Developer Software Tester. Microsoft Access 2010 Advanced Level Module One - Getting Started 00:30:00 Module Two - Advanced Table Tasks 01:00:00 Module Three - Advanced Form Tasks 01:00:00 Module Four - Advanced Reporting Tasks 01:00:00 Module Five - Understanding Relationships 01:00:00 Module Six - Advanced Query Tasks 01:00:00 Module Seven - Working with SQL 01:00:00 Module Eight - Linking Data 01:00:00 Module Nine - Importing Data 01:00:00 Module Ten - Exporting Data 01:00:00 Module Eleven - Advanced Database Tools 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities Activities - Microsoft Access 2010 Advanced Level 00:00:00 Mock Exam Mock Exam-Microsoft Access 2010 Advanced Level 00:20:00 Final Exam Final Exam-Microsoft Access 2010 Advanced Level 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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Data Analyst Course is Now The Most Demanding Course to Advance Your Career! Data Analysis Course is for those who want to advance in this field. Throughout this course, you will learn the essential skills and gain the knowledge needed to become well versed in Data Analyst. Data Analyst course includes: Course 01: Diploma in Data Analysis Fundamentals Course 02: Excel Pivot Tables for Data Reporting Course 03: Complete Microsoft SQL Server from Scratch: Bootcamp Our course starts with the basics of Data Analysis and gradually progresses towards advanced topics. Therefore, each lesson of this course intuitive and easy to understand. Data Analyst Course Learning Outcomes: Upon successful completion of this highly appreciated Data Analysis Course, you'll be a skilled professional, besides- You can provide services related to Data Analysis with complete knowledge and confidence. You'll be competent and proficient enough to start a Data Analytics related Data Analyst on your own. Furthermore, you can train up others and grow an efficient peer community on your locality and serve people. It will enhance your portfolio, you can use the certificate as proof of your efficiency to the employer. It will boost up your productivity, you can use the skill and credentials, and become more competent in your vocation with increased earning! So, stand out in the job market by completing the Data Analyst (Data Analytics) Course. Get an accredited certificate and add it to your resume to impress your employers. Along with the Data Analysis course, you also get: Lifetime Access Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials- Anytime, Anywhere - From Any Smart Device (Laptop, Tablet, Smartphone Etc.) 100% Learning Satisfaction Guarantee Learn at your own pace from the comfort of your home, as the rich learning materials of this course are accessible from any place at any time. The curriculums are divided into tiny, bite-sized modules by industry specialists. And you will get answers to all your queries from our experts. So, enrol and excel in your career with Compliance Central. Curriculum Topics: Agenda and Principle Process Voice of Customer Data Analysis Tools Pareto Chart, Histogram, Run Chart, Control Chart Data Performance Presentation Pivot Table Fundamental SQL Statement Basics and Operations CPD 40 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis course. Requirements To enrol in this Data Analysis course, all you need is a basic understanding of the English Language and an internet connection. Career path After completing this course, you can explore trendy and in-demand jobs related to Data Analysis. Data Analyst: £25,000 to £45,000 per year Business Intelligence Analyst: £30,000 to £55,000 per year Data Scientist: £35,000 to £65,000 per year Data Engineer: £40,000 to £70,000 per year Market Research Analyst: £22,000 to £40,000 per year Database Administrator: £30,000 to £55,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included 3 CPD Accredited PDF Certificate Hard copy certificate Hard copy certificate - £9.99 CPD Accredited Hard Copy Certificate for £9.99 each. Delivery Charge: Inside the UK: Free Outside of the UK: £9.99

In this comprehensive course, we will guide you through the world of Oracle Database Administration, starting from the basics and equipping you with the skills to create databases, manage storage, implement backup plans, apply patches, troubleshoot issues, and excel in the role of a professional DBA.

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Getting Started The OTHM Level 7 Diploma in Immersive Software Engineering aims to equip learners with advanced-level knowledge and skills to design, develop, and evaluate immersive software engineering systems. By completing this qualification, learners will acquire the skills to support research and innovation in various domains, such as Web and cloud technologies, Security, Automation, Data analytics, and Project methodologies. The primary objective of this diploma is to develop critical thinking and research skills in learners to identify and address complex problems in the software engineering field. Key Benefits This qualification will bring you many vital benefits, such as; The study program is designed to be both stimulating and challenging, providing learners with a chance to gain essential subject knowledge to help them succeed in further studies or the workforce. The program's content has been updated to match the latest employer and higher education requirements. Assessments evaluate both cognitive and affective skills, along with applied skills. Learners will develop valuable knowledge and academic skills, including active research, effective writing and analysis, creative problem-solving, decision-making, and digital literacy. Key Highlights Are you aspiring to become a Software Developer? Then, the OTHM Level 7 Diploma in Immersive Software Engineering program offered by the School of Business and Technology London is the right solution for you. 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 OTHM-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 The OTHM Level 7 Diploma in Immersive Software Engineering can open many career pathways including, but not limited to: Chief technology officer; Est. Salary £1,41,489 per annum Senior software engineer; Est. Salary £55,913 per annum Junior software engineer; Est. Salary £25,904 per annum Team Leader; Est. salary £27,903 per annum     About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. 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- Security Engineering Reference No : Unit 1 - F/650/7994 Credit : 20 || TQT : 200 Hours This unit teaches secure software development, system hardening, authentication, encryption, network security, and web application architecture. UNIT2- Software Programming Principles and Practices in Java I Reference No : Unit 2 - H/650/7995 Credit : 20 || TQT : 200 Hours This unit teaches learners about programming languages, including what it is, how it works, and how to interact with computers. Learners will learn the basics through real-world coding examples and regular coding assignments. UNIT3- Agile Project Management Reference No : Unit 3 - J/650/7996 Credit : 20 || TQT : 200 Hours This unit covers project management, Scrum, and Kanab for IT product development. Build products iteratively and optimize value flow for customers. UNIT4- Cloud Computing & DevOps Reference No : Unit 4 - K/650/7997 Credit : 20 || TQT : 200 Hours This unit teaches cloud computing, DevOps, and various cloud models (IaaS, PaaS, SaaS), including different cloud services. UNIT5- Database & SQL Programming Reference No : Unit 5 - L/650/7998 Credit : 20 || TQT : 200 Hours The unit teaches learners the limitations of traditional storage systems, how modern relational databases overcome these challenges, and programming skills to communicate with databases using SQL. UNIT6- Web Designing Reference No : Unit 6 - M/650/7999 Credit : 20 || TQT : 200 Hours This course teaches learners to create HTML, CSS, and JavaScript web pages. Design sites, use styles, tables, lists, and HTML user input properties, and learn JavaScript basics. 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 5 Days 30 CPD hours This course is intended for This course is intended for administrators in a Microsoft-centric environment who want to build reusable units of automation, automate business processes, and enable less-technical colleagues to accomplish administrative tasks. Overview Describe the correct patterns for building modularized tools in Windows PowerShell Build highly modularized functions that comply with native PowerShell patterns Build controller scripts that expose user interfaces and automate business processes Manage data in a variety of formats Write automated tests for tools Debug tools This course covers advanced Windows PowerShell topics, with an emphasis on building reusable tools. Students are introduced to workflow, engage in best practices, and learn a variety of script development and toolmaking techniques. Tool Design Tools do one thing Tools are flexible Tools look native Start with a Command Why start with a command? Discovery and experimentation Build a Basic Function and Module Start with a basic function Create a script module Check prerequisites Run the new command Adding CmdletBinding and Parameterizing About CmdletBinding and common parameters Accepting pipeline input Mandatory-ness Parameter validation Parmeter aliases Emitting Objects as Output Assembling information Constructing and emitting output Quick tests An Interlude: Changing Your Approach Examining a script Critiquing a script Revising the script Using Verbose, Warning, and Informational Output Knowing the six channels Adding verbose and warning output Doing more with verbose output Informational output Comment-Based Help Where to put your help Getting started Going further with comment-based help Broken help Handling Errors Understanding errors and exceptions Bad handling Two reasons for exception handling Handling exceptions in our tool Capturing the actual exception Handling exceptions for non-commands Going further with exception handling Deprecated exception handling Basic Debugging Two kinds of bugs The ultimate goal of debugging Developing assumptions Write-Debug Set-PSBreakpoint The PowerShell ISE Going Deeper with Parameters Parameter positions Validation Multiple parameter sets Value from remaining arguments Help messages Aliases More CmdletBinding Writing Full Help External help Using PlatyPs Supporting online help ?About? topics Making your help updatable Unit Testing Your Code Sketching out the test Making something to test Expanding the test Going further with Pester Extending Output Types Understanding types The Extensible Type System Extending an object Using Update-TypeData Analyzing Your Script Performing a basic analysis Analyzing the analysis Publishing Your Tools Begin with a manifest Publishing to PowerShell Gallery Publishing to private repositories Basic Controllers: Automation Scripts and Menus Building a menu Using UIChoice Writing a process controller Proxy Functions A proxy example Creating the proxy base Modifying the proxy Adding or removing parameters Working with XML Data Simple: CliXML Importing native XML ConvertTo-XML Creating native XML from scratch Working with JSON Data Converting to JSON Converting from JSON Working with SQL Server Data SQL Server terminology and facts Connecting to the server and database Writing a query Running a query Invoke-SqlCmd Thinking about tool design patterns Design tools that use SQL Server for data storage Final Exam Lab problem Break down the problem Do the design Test the commands Code the tool