2379 Programming courses in Chigwell delivered Online

Start your journey with the Linux command line with zero knowledge. This course will start from scratch with instructions to install a Linux OS on a virtual machine and advance to higher-level concepts with no prior knowledge required.

Many organisations find that project teams struggle to create and maintain effective plans. Estimates are often overly optimistic and risks go unmanaged until the inevitable happens. Resource managers also find it hard to forecast the likely loading on their departments and requests for support are not provided in a consistent format. This programme has been developed to address these needs in a very practical, hands-on format. Case study work can be based on simulations or on the organisation's current projects for maximum benefit to participants. The aim of this training is to develop and enhance participants' planning and risk management skills in order to maximise the success of project work undertaken by the organisation. The principal training objectives for this programme are to: Provide a structured, integrated approach to planning and risk management Demonstrate practical tools and techniques for each stage of planning Show how to organise and involve relevant people in the planning process Explain how to use the plan for forecasting and pro-active project control Identify ways to improve planning, both individually and corporately The course will emphasise the importance of participative planning techniques that improve the quality of plans whilst reducing overall time and cost of planning. The course will encourage discussion of internal procedures and practices and may be customised to include them if required. DAY ONE 1 Introduction (Course sponsor) Why this programme has been developed Review of participants' needs and objectives 2 Projects and planning Why plan? The benefits of good planning / penalties of poor planning Planning in the project lifecycle; the need for a 'living' plan The interaction between target setting and the planning process Team exercise: planning the project 3 Planning the plan Defining the application and structure of the plan Impact of planning decisions during the project lifecycle Using available time to create an effective plan 4 Defining deliverables Assessing the context; reviewing the goals and stakeholders Developing the scope and defining deliverables; scope mapping Understanding customer priorities; delivering value for money Case study: defining the project deliverables 5 Creating the work breakdown Building the work breakdown structure Detailing the tasks and sub-tasks; structured brainstorming Defining task ownership; the task responsibility matrix 6 Creating and using a logical network Developing the logical network; task boarding Determining the critical path and calculating float Accelerating the plan; concurrent programming and risk Individual and group exercises DAY TWO 7 Developing resource schedules Deriving the Gantt chart from the network Developing the detailed resource schedules Calculating the expenditure profile ('S' curve) 8 Estimating task durations and costs Understanding estimates: effort, availability and duration Estimating tools and techniques Application of estimating techniques during the project lifecycle 9 Case study Developing the project plan Refining the project plan Team presentations and discussion 10 Managing risks and refining the plan Awareness of contractual issues associated with risk Identifying and evaluating risks; deciding ownership Managing risks: determining levels of provision and contingency Controlling risks: maintaining an up-to date risk register 11 Planning for pro-active control The earned value analysis (EVA) concept and its predictive value Deriving the measures needed for cost and delivery performance Practical issues associated with implementing EVA 12 Using and maintaining the plan Tracking progress and updating the plan Publishing and controlling the plan 13 Course review and transfer planning (Course sponsor present) Identify ways of implementing the techniques learnt Sponsor-led review and discussion of proposals Conclusion

Duration 1 Days 6 CPD hours This course is intended for Students should have basic computer skills, SQL skills, and be familiar with concepts related to database structure and terminology. Overview Upon successful completion of this course, students will be able to: - Use subqueries to generate query output. - Manipulate table data by inserting, updating, and deleting records in a table. - Manipulate the table structure. - Create views, manipulate data through views, modify the view structure, and drop views. - Create indices on table columns and drop inefficient indices. - Mark the beginning of a transaction, create a savepoint within a transaction, rollback a transaction, and commit a transaction. In this course, students will work with advanced queries to manipulate and index tables. Students will also create transactions so that you can choose to save or cancel data entry process. Prerequisites SQL Querying Fundamentals - Part 1 1 - Using Subqueries to Perform Advanced Querying Search Based on Unknown Values Compare a Value with Unknown Values Search Based on the Existence of Records Generate Output Using Correlated Subqueries Filter Grouped Data Within Subqueries Perform Multiple-Level Subqueries 2 - Manipulating Table Data Insert Data Modify and Delete Data 3 - Manipulating the Table Structure Create a Simple Table Create a Table with Constraints Add or Drop Table Columns Add or Drop Constraints Modify the Column Definition Back Up Tables Delete Tables 4 - Working with Views Create a View Manipulate Data in Views Create Aliases Modify and Drop Views 5 - Indexing Data Create Indices Drop Indices 6 - Managing Transactions Create Transactions Commit Transactions

Through this course, you will learn how to arrange Kafka a producer and consumer and Kafka Streams and Connectors accurately. You will also gain the skills needed to coordinate Kafka with existing application stages and to pass the Apache Kafka certification exam.

Course Overview Peek into the world of data science and machine learning with the comprehensive Data Science & Machine Learning With R in 2021 course. This course will provide you with a detailed understanding of both machine learning and data science. In addition, you will acquire essential skills to pursue a career in this growing industry. The Data Science & Machine Learning With R in 2021 course will teach you the core concept of data science. You will be able to recognize different data types and structures. From the modules, you will receive an introduction to the intermediate R Section. The course will show you the techniques of data manipulation in R. You will know the process of data visualization with R and learn to create reports with R markdown. The Data Science & Machine Learning With R in 2021 course will provide you with an insight into the fundamentals of machine learning. You will understand the principles of data processing, linear regression, logistic regression and more.  This highly informative Data Science & Machine Learning With R in 2021 course will equip you with the essential skills of data science. If you desire to become a professional data scientist, this course can be your stepping stone. So, enroll in the course and fast track your career. Learning Outcomes Learn the definition of data science Understand the basics of machine learning Enrich your knowledge of data types and structures Know the process of data manipulation in R Gain the ability to create reports with R markdown Become skilled in building web apps with R shiny Who is this course for? Aspiring data scientists or individuals interested in learning data science and machine learning  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. Certification After you have successfully completed the course, 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 hardcopy 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 Data Science & Machine Learning With R in 2021 course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Data Scientist Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Data Types and Structures in R Getting Started 00:16:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database1 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Welcome to Microsoft sql server development for everyone Course. The world of data is a vast and complex one. But with the right tools, it can be yours to explore. SQL Server is one of those tools. It's a powerful database management system that can help you store, manage, and analyse data in ways that were never before possible.   In this Microsoft SQL Server Development for Everyone! course, you'll learn the basics of SQL Server development. You'll learn how to create and manage databases, tables, and data. You'll also learn how to write SQL queries to manipulate data.   Starting with a solid Introduction to SQL, you'll grasp core concepts and gain a strong foundation. We'll then dive into Manipulating Tables and Data, equipping you with effective skills for storing, retrieving, updating, and deleting information.   But we won't stop there! Our in-depth exploration of Relationships and Foreign Keys will ensure you understand the importance of data integrity and how to establish connections between tables. You'll create robust and reliable databases with enforced referential integrity. Next, we'll empower you with the tools of Group By and Aggregate Functions, enabling efficient data analysis and summarisation. Extracting meaningful insights from vast amounts of information will become second nature to you.   To become a well-rounded SQL Server developer, we'll conclude the course with Advanced SQL Server Objects and Concepts. You'll gain a deep understanding of essential elements like stored procedures, views, triggers, and indexes. This knowledge will optimise performance and streamline your development process.   By the end of this Microsoft SQL Server Development for Everyone! course, you'll have a strong understanding of how to use SQL Server to manage and manipulate data. You'll be able to build powerful applications that make better decisions. Become a sought-after SQL Server developer and master the art of data management. Join us today and unlock your data-driven potential!   Learning Outcomes: Through this comprehensive course, you should be able to:   Understand core concepts and gain a strong foundation in SQL Server development. Acquire skills to effectively manipulate tables and data. Establish relationships and enforce data integrity using foreign keys. Utilise group by and aggregate functions for efficient data analysis. Explore advanced SQL Server objects and concepts like stored procedures and views. Gain proficiency in implementing triggers and optimising database performance. Develop the ability to create robust and reliable databases.   Who is this course for? This Microsoft SQL Server Development for Everyone! course is perfect for:   Aspiring developers looking to enhance their programming skills. Professionals seeking to expand their knowledge of SQL Server development. Individuals interested in exploring the world of databases and data management. Students or graduates pursuing a career in database administration or development. Curious learners eager to harness the power of SQL Server.   Career Path Our course will help you to pursue a range of careers, including:   Database Administrator: £25,000 - £60,000 per year. SQL Developer: £30,000 - £65,000 per year. Data Analyst: £25,000 - £55,000 per year. Business Intelligence Developer: £35,000 - £70,000 per year. Software Engineer: £30,000 - £70,000 per year. Data Engineer: £40,000 - £80,000 per year. Database Architect: £45,000 - £90,000 per year. Certification After studying the course materials of the Microsoft SQL Server Development for Everyone! there will be a written assignment test which you can take either during or at the end of the course. 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. Prerequisites This Microsoft SQL Server Development for Everyone! does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft SQL Server Development for Everyone! 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.   Course Curriculum Introduction Introduction to SQL Server and Databases 00:04:00 Download and Install SQL Server Express 00:05:00 Manipulating Tables and Data Connect to Database Instance and Create a Database 00:06:00 Drop or Remove Database 00:04:00 What is a Database Table? 00:02:00 Create an SQL Database Table 00:32:00 Insert Data into the Table with SQL Script 00:15:00 Insert Data into the Table with Management Studio 00:05:00 Select Data from the Table with SQL Script 00:09:00 More Advanced Select Queries Part 1 00:18:00 Update Data in the Table 00:10:00 Update Data in the Table with Management Studio GUI 00:02:00 Delete Data from the Table with SQL Script 00:06:00 Delete Data from the Table with Management Studio GUI 00:01:00 Relationships and Foreign Keys What are Relationships, Foreign Keys and Normalization 00:11:00 Create a Relationship in SQL Server 00:19:00 Insert Records in Related Tables 00:13:00 Run Queries on Related Tables 00:19:00 Left, Right and Full Joins 00:11:00 Group By and Aggregate Functions Grouping Data using SQL GROUP BY Clause 00:12:00 SQL AVG Aggregate Function 00:11:00 SQL COUNT Aggregate Function 00:04:00 SQL MAX and MIN Aggregate Functions 00:04:00 SQL SUM Aggregate Function 00:04:00 Advanced SQL Server Objects and Concepts Create and Manage Views 00:23:00 Scalar Valued Functions 00:27:00 Inline Table Valued Functions 00:09:00 Multi Statement Table Valued Functions 00:12:00 Stored Procedures 00:28:00 Table Triggers 00:19:00 Database Scripting, Backup and Restore 00:15:00 Assignment Assignment - Microsoft SQL Server Development for Everyone! 00:00:00

Duration 5 Days 30 CPD hours This course is intended for To fully benefit from this course, you should have three to five years of experience designing and implementing applications that are built on top of Cisco platforms. This course is appropriate for: Network engineers expanding their skill-base to include software and automation Developers expanding expertise in automation and DevOps Solution architects moving to the Cisco ecosystem Infrastructure developers designing hardened production environments The job roles best suited to the material in this course are: Senior network automation engineer Senior software developer Senior system integration programmer Additional job roles that could find this course useful are: Senior infrastructure architect Senior network designer Senior test development engineer Students preparing for Cisco Certified DevNet Professional and Cisco Certified DevNet Specialist - Core certification will also find this material useful. Overview After taking this course, you should be able to: Describe the architectural traits and patterns that improve application maintainability Describe the architectural traits and patterns that improve application serviceability Identify steps to design and build a ChatOps application Implement robust Representational State Transfer (REST) API integrations with network error handling, pagination, and error flow control Describe the necessary steps for securing user and system data in applications Describe the necessary steps for securing applications Identify common tasks in automated application release process Describe best practices for application deployment Describe methodologies for designing distributed systems Describe the concepts of infrastructure configuration management and device automation Utilize Yet Another Next Generation (YANG) data models to describe network configurations and telemetry Compare various relational and nonrelational database types and how to select the appropriate type based on requirements In this course, you will learn how to implement network applications using Cisco© platforms as a base, from initial software design to diverse system integration, as well as testing and deployment automation. The course gives you hands-on experience solving real world problems using Cisco Application Programming Interfaces (APIs) and modern development tools. This course helps you prepare for Cisco DevNet Professional certification and for professional-level network automation engineer roles. COURSE OUTLINE DESIGNING FOR MAINTAINABILITY (SELF-STUDY) DESIGNING FOR SERVICEABILITY (SELF-STUDY) IMPLEMENTING CHATOPS APPLICATION DESCRIBING ADVANCED REST API INTEGRATION SECURING APPLICATION DATA (SELF-STUDY) SECURING WEB AND MOBILE APPLICATIONS (SELF-STUDY) AUTOMATING APPLICATION-RELEASE DEPLOYING APPLICATIONS UNDERSTANDING DISTRIBUTED SYSTEMS ORCHESTRATING NETWORK AND INFRASTRUCTURE MODELING DATA WITH YANG USING RELATIONAL AND NON-RELATIONAL DATABASES (SELF-STUDY) PLEASE NOTE:This class includes lecture sections and self-study sections. In instructor-led classes, lectures are delivered in real-time, either in person or via video conferencing. In e-learning courses, the lectures are on recorded videos. In both versions, you will need to review self-study sections on your own before taking the certification exam. Additional course details: Nexus Humans Cisco Developing Applications Using Cisco Core Platforms and APIs v1.0 (DEVCOR) 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 Cisco Developing Applications Using Cisco Core Platforms and APIs v1.0 (DEVCOR) 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 3 Days 18 CPD hours This course is intended for This certification is appropriate for anyone interested in becoming familiar with the concepts and practices of Agile Project Delivery, and who wants to have a working knowledge of the various Agile methodologies. Overview Objectives are: To provide an understanding of Agile philosophy and practices To provide a working knowledge of various Agile methodologies To provide students with the ability to compare and choose which methodology is appropriate in a given situation To prepare participants to pass the SAMC™ exam Course outcomes: Participants will be familiar with the concepts and practices of Agile project delivery. Participants will be equipped with detailed knowledge and understanding of available Agile methodologies. Participants will be able to compare and choose the methodologies or parts of methodologies that are most relevant to their current and future situations. Participants will be armed with the proper tools to take the lead in Agile projects and to address and resolve Agile issues in their organizations. Participants will be SAMC certified. Agile relies on adaptive planning and iterative development and delivery. It focuses primarily on the value of people in getting the job done effectively.Successful candidates will be awarded the SCRUMstudy Agile Master Certified (SAMC?) certification by SCRUMstudy after passing the included certification exam. The certification exam voucher is included in this course so you can take the exam at your convenience. IntroductionAgile Overview Agile Defined Why Use Agile? Adaptive Project Management The Agile Manifesto Principles of the Agile Manifesto Declaration of Interdependence Difference between Waterfall and Agile Domains of Agile Practices Value-Driven Delivery Stakeholder Engagement Team Performance Practices Adaptive Planning Problem Detection and Resolution Continuous Improvement Agile Tools and Artifacts Lean Kanban Software Development Introduction Core Values Practices Understanding Lean Software Development Understanding Kanban Software Development Scrum Overview of Scrum Brief History of Scrum Why Use Scrum? Scalability of Scrum Scrum Principles Scrum Aspects Scrum Processes Scrum and Kanban Extreme Programming (XP) Introduction Core Values? Roles Practices XP Artifacts XP Events XP Release Adopting XP Test-Driven Development (TDD) Introduction The Process Dynamic Systems Development Methods (DSDM) Introduction Core Values Roles Practices Crystal Introduction Core Values Roles Practices The Process Feature Driven Development (FDD) Introduction Core Values Roles Practices The Process Comparison of Agile MethodsBest Fit Analysis ToolBlitz PlanningNote SCRUMstudy has authored the SBOK? Guide as a comprehensive guide to deliver successful projects using Scrum. SCRUMstudy works through its large global partner network of Authorized Training Providers (A.T.P.s) to deliver trainings and certifications. New Horizons is a proud Authorized Training Provider of SCRUMstudy. Additional course details: Nexus Humans SCRUMstudy Agile Master Certified (SAMC) 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 SCRUMstudy Agile Master Certified (SAMC) 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 The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

Duration 3 Days 18 CPD hours This course is intended for This is an introductory- level course appropriate for those who are developing applications using relational databases, or who are using SQL to extract and analyze data from databases and need to use the full power of SQL queries. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert practitioner, attendees will learn to: Maximize the potential of SQL to build powerful, complex and robust SQL queries Query multiple tables with inner joins, outer joins and self joins Construct recursive common table expressions Summarize data using aggregation and grouping Execute analytic functions to calculate ranks Build simple and correlated subqueries Thoroughly test SQL queries to avoid common errors Select the most efficient solution to complex SQL problems A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. SQL is the cornerstone of all relational database operations. In this hands-on course, you learn to exploit the full potential of the SELECT statement to write robust queries using the best query method for your application, test your queries, and avoid common errors and pitfalls. It also teaches alternative solutions to given problems, enabling you to choose the most efficient solution in each situation. Introduction: Quick Tools Review Introduction to SQL and its development environments Using SQL*PLUS Using SQL Developer Using the SQL SELECT Statement Capabilities of the SELECT statement Arithmetic expressions and NULL values in the SELECT statement Column aliases Use of concatenation operator, literal character strings, alternative quote operator, and the DISTINCT keyword Use of the DESCRIBE command Restricting and Sorting Data Limiting the Rows Rules of precedence for operators in an expression Substitution Variables Using the DEFINE and VERIFY command Single-Row Functions Describe the differences between single row and multiple row functions Manipulate strings with character function in the SELECT and WHERE clauses Manipulate numbers with the ROUND, TRUNC and MOD functions Perform arithmetic with date data Manipulate dates with the date functions Conversion Functions and Expressions Describe implicit and explicit data type conversion Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions Nest multiple functions Apply the NVL, NULLIF, and COALESCE functions to data Decode/Case Statements Using the Group Functions and Aggregated Data Group Functions Creating Groups of Data Having Clause Cube/Rollup Clause SQL Joins and Join Types Introduction to JOINS Types of Joins Natural join Self-join Non equijoins OUTER join Using Subqueries Introduction to Subqueries Single Row Subqueries Multiple Row Subqueries Using the SET Operators Set Operators UNION and UNION ALL operator INTERSECT operator MINUS operator Matching the SELECT statements Using Data Manipulation Language (DML) statements Data Manipulation Language Database Transactions Insert Update Delete Merge Using Data Definition Language (DDL) Data Definition Language Create Alter Drop Data Dictionary Views Introduction to Data Dictionary Describe the Data Dictionary Structure Using the Data Dictionary views Querying the Data Dictionary Views Dynamic Performance Views Creating Sequences, Synonyms, Indexes Creating sequences Creating synonyms Creating indexes Index Types Creating Views Creating Views Altering Views Replacing Views Managing Schema Objects Managing constraints Creating and using temporary tables Creating and using external tables Retrieving Data Using Subqueries Retrieving Data by Using a Subquery as Source Working with Multiple-Column subqueries Correlated Subqueries Non-Correlated Subqueries Using Subqueries to Manipulate Data Using the Check Option Subqueries in Updates and Deletes In-line Views Data Control Language (DCL) System privileges Creating a role Object privileges Revoking object privileges Manipulating Data Overview of the Explicit Default Feature Using multitable INSERTs Using the MERGE statement Tracking Changes in Data