677 Cat courses in Cardiff delivered Live Online

Complete Python training course description Python is an agile, robust, expressive, fully objectoriented, extensible, and scalable programming language. It combines the power of compiled languages with the simplicity and rapid development of scripting languages. This course covers Python from the very basics of 'hello world!' through to object oriented programming and advanced topics such as multi threading. Hands on follows all the major sections in order to reinforce the theory. What will you learn Read Python programs. Write Python programs. Debug Python programs. Use Python's objects and memory model as well as its OOP features. Complete Python programming training course details Who will benefit: Anyone wishing to learn Python. Prerequisites: None. Duration 5 days Complete Python programming training course contents Welcome to Python: What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. Getting started: Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. Python basics: Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. Python Objects: Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. Numbers: Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. Sequences: strings, lists, and tuples: Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. Mapping and set types: Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. Conditionals and loops: If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. Files and input/output: File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. Errors and exceptions: What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. Functions: Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. Modules: Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. Object-Oriented Programming (OOP): Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. Execution environment: Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. Regular expressions: Special symbols and characters, REs and Python, Regular expressions example. Network programming: Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. Internet client programming: What are internet clients? Transferring files, Network news, E-mail. Multithreaded Programming: Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. GUI programming: Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. Web programming: Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. Database programming: Python database application programmer's interface (DB-API), ORMs. Miscellaneous Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.

C++ training course description A hands on introduction to programming in the C++ language. The course concentrates on aspects that will be new to experienced C programmers and so is not suitable for those without C knowledge. What will you learn Write C++ programs Debug C++ programs. Examine existing code and determine its function. Use classes, function overloading, operator overloading, inheritance and virtual functions within C++ programs. C++ training course details Who will benefit: Programmers needing to write C++ code. Programmers needing to maintain C++ code. Prerequisites: C programming foundation. Duration 5 days C++ training course contents The origins of C++ C++ as a better C, C++ and Object Oriented Programming, encapsulation, polymorphism, inheritance. C++ standards. Getting started Simple C++ programs. Classes Basics, constructor and destructor functions, member and friend functions. Using objects. Default, copy and conversion constructors. A better C Arrays, pointers and references, new and delete. Improved safety with smart pointers, Resource Acquisition in Initialization (RAII). Functions in C++ Function overloading, default arguments, inline functions, Lambda functions. Templates Template classes and functions. Standard Library Containers, Iterators, algorithms, function objects. Operator overloading Basics, binary operators, the this pointer, relational operators, unary operators. Members versus friends. Inheritance Base class access control, protected members, multiple inheritance, virtual base classes. More I/O Manipulators, customising inserters, extractors. File I/O. Virtual functions Pointers to derived classes, run time polymorphism. Exception handling Throwing errors, trying code and catching errors.

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. Overview Create sophisticated SSIS packages for extracting, transforming, and loading data Use containers to efficiently control repetitive tasks and transactions Configure packages to dynamically adapt to environment changes Use Data Quality Services to cleanse data Successfully troubleshoot packages Create and Manage the SSIS Catalog Deploy, configure, and schedule packages Secure the SSIS Catalog SQL Server Integration Services is the Community Courseware version of 20767CC Implementing a SQL Data Warehouse. This five-day instructor-led course is intended for IT professionals who need to learn how to use SSIS to build, deploy, maintain, and secure Integration Services projects and packages, and to use SSIS to extract, transform, and load data to and from SQL Server. This course is similar to the retired Course 20767-C: Implementing a SQL Data Warehouse but focuses more on building packages, rather than the entire data warehouse design and implementation. Prerequisites Working knowledge of T-SQL and SQL Server Agent jobs is helpful, but not required. Basic knowledge of the Microsoft Windows operating system and its core functionality. Working knowledge of relational databases. Some experience with database design. 1 - SSIS Overview Import/Export Wizard Exporting Data with the Wizard Common Import Concerns Quality Checking Imported/Exported Data 2 - Working with Solutions and Projects Working with SQL Server Data Tools Understanding Solutions and Projects Working with the Visual Studio Interface 3 - Basic Control Flow Working with Tasks Understanding Precedence Constraints Annotating Packages Grouping Tasks Package and Task Properties Connection Managers Favorite Tasks 4 - Common Tasks Analysis Services Processing Data Profiling Task Execute Package Task Execute Process Task Expression Task File System Task FTP Task Hadoop Task Script Task Introduction Send Mail Task Web Service Task XML Task 5 - Data Flow Sources and Destinations The Data Flow Task The Data Flow SSIS Toolbox Working with Data Sources SSIS Data Sources Working with Data Destinations SSIS Data Destinations 6 - Data Flow Transformations Transformations Configuring Transformations 7 - Making Packages Dynamic Features for Making Packages Dynamic Package Parameters Project Parameters Variables SQL Parameters Expressions in Tasks Expressions in Connection Managers After Deployment How It All Fits Together 8 - Containers Sequence Containers For Loop Containers Foreach Loop Containers 9 - Troubleshooting and Package Reliability Understanding MaximumErrorCount Breakpoints Redirecting Error Rows Logging Event Handlers Using Checkpoints Transactions 10 - Deploying to the SSIS Catalog The SSIS Catalog Deploying Projects Working with Environments Executing Packages in SSMS Executing Packages from the Command Line Deployment Model Differences 11 - Installing and Administering SSIS Installing SSIS Upgrading SSIS Managing the SSIS Catalog Viewing Built-in SSIS Reports Managing SSIS Logging and Operation Histories Automating Package Execution 12 - Securing the SSIS Catalog Principals Securables Grantable Permissions Granting Permissions Configuring Proxy Accounts Additional course details: Nexus Humans 55321 SQL Server Integration Services 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 55321 SQL Server Integration Services 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.

Historical Association webinar series: Building different types of historical knowledge Presenters: Claire Holliss This second session will consider how teachers have helped their students to develop coherent explanations of historical processes and to form judgments in response to historical questions. The session will then engage with the rich tradition of practitioner research on students’ writing at A-level, particularly focusing on how teachers have helped students engage with historical writing in order to gain a more sophisticated understanding of the discipline and to strengthen their written work.   To use your corporate webinar offer on this webinar please fill in this form: https://forms.office.com/e/9JZCQ0RUkJ

Historical Association webinar series: Direct history teaching Presenters: Mike Hill and Jacob Olivey In this opening session, Jacob and Mike will outline what they mean by direct history teaching. They will explain how this differs from some methods that have become common in history teaching – and why a more direct approach can be more effective, inclusive, and enjoyable for pupils.  To use your corporate recording offer on this webinar please fill in this form: https://forms.office.com/e/Qr1PfgRHSS We are able to offer the webinars in this series at a subsidised cost as the presenters' time has been partially funded by their school, Ark Soane Academy. We are open to developing partnerships across schools and trusts. If you are interested in discussing this further, please contact Mel Jones at melanie.jones@history.org.uk

Lean Six Sigma Green Belt Certification Program: Virtual In-House Training This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps

CWISA training course description This CWISA course covers wireless technologies with reference to IoT. It examines from an IoT perspective how wireless works, and is an excellent introduction to IoT for the wireless engineer. Topics range from wireless technologies, RF, to mobile networks, IoT, and security. What will you learn Describe wireless networking and IoT technologies. Explain basic RF communications. Plan wireless solutions. Describe how to implement wireless solutions. Use best practices in implementing wireless solutions. CWISA training course details Who will benefit: Anyone working with IoT technologies. Prerequisites: RF fundamentals. Duration 4 days CWISA training course contents Introduction to wireless technologies History of wireless, radio waves and frequencies, wireless technologies and related components, common components of wireless solutions, LAN networking requirements, Network security, Implementing wireless solutions, staging, documentation, security updates, Industry organizations, IEEE, compatibility and certification groups. Wireless network use cases Wireless BANs, Wireless PANs, Wireless LANs, Wireless MANs, Wireless WANs, Wireless sensor networks, New network driver-Internet of Things, IoT for industry (IIoT), IoT for connected vehicles, Residential environments, Retail, Education (K12), Higher education, Agriculture, Smart cities / Public access, Health care, Office buildings, Hospitality, Industry, Stadiums, arenas, and large public venues. Planning wireless solutions Identifying use cases and applications, common wireless requirements and constraints, performing a wireless system design, selecting and evaluating design parameters. RF communications RF wave characteristics, RF propagation behaviours, RF signal metrics, fundamentals of wireless modulation. other wireless carriers, common frequency bands. Radio frequency hardware Hardware levels, basic RF hardware components (circuit board level), RF link types (use category). RF device types. Mobile communications networks Mobile networks, LTE, 5G, Use cases. Short-range, low-rate, and low-power networks RF and speed, RF and range, RF and power, 802.11, 802.15.4, Bluetooth, LoRa (Long range) / LoRaWAN, ZigBee, 6LoWPAN, NB-IoT and LTE-M. Wireless sensor networks What is a Wireless Sensor Network (WSN)? WSN applications, Sensors and actuators, WSN architectures, Planning a WSN. Internet of Things (IoT) Internet of Things (IoT) defined, IoT history and its definition revisited, one more comment on the definition of IoT, IoT verticals, Oil & Gas, IoT structure/ architecture basics, IoT connected objects. Securing wireless networks Confidentiality, integrity and availability, Privacy, non-repudiation, authenticity & safety, Importance of authentication in wireless networks, Key cryptographic technologies & concepts, Authentication methods, Authorisation, OAuth 2.0 authorisation framework, monitoring. Troubleshooting wireless solutions Proper solutions design, designing and implementing wireless solutions, basic installation procedures, general configuration considerations, troubleshooting and remediation, troubleshoot common problems in wireless solutions. Programming, scripting and automation What is an API? categories of APIs, common API communication methods, choosing a language, why are we integrating systems? Application & integration architectures. Data structures & types, XML, YAML, API types.

Querying Microsoft SQL Server course description This course covers the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server and provides the foundation for all SQL Server-related disciplines; namely, database administration, database development and business intelligence. This course helps prepare for exam 70-761. Note: This course is designed for SQL Server 2014or SQL Server 2016. What will you learn Write SELECT statements. Create and implement views and table-valued functions. Transform data by implementing pivot, unpivot, rollup and cube. Create and implement stored procedures. Add programming constructs such as variables, conditions, and loops to T-SQL code. Querying Microsoft SQL Server course details Who will benefit: Database administrators, database developers, and business intelligence professionals. SQL power users, namely, report writers, business analysts and client application developers. Prerequisites: Database fundamentals Duration 5 days Querying Microsoft SQL Server course contents Introduction to Microsoft SQL Server Management studio, creating and organizing T-SQL scripts, using books online. Hands on working with SQL Server tools. T-SQL querying Introducing T-SQL, sets, predicate logic, logical order of operations in SELECT statements, basic SELECT statements, queries that filter data using predicates, queries that sort data using ORDER BY. Hands on introduction to T-SQL querying. Writing SELECT queries Writing simple SELECT statements, eliminating duplicates with DISTINCT, column and table aliases, simple CASE expressions. Hands on writing basic SELECT statements. Querying multiple tables cross joins and self joins, write queries that use Inner joins, write queries that use multiple-table inner joins, write queries that use self-joins, write queries that use outer joins, write queries that use cross joins. Hands on querying multiple tables. Sorting and filtering data Sorting data, filtering data with predicates, filtering data with TOP and OFFSET-FETCH, working with unknown values, WHERE clause, ORDER BY clause, TOP option, OFFSET-FETCH clause. Hands on sorting and filtering data. SQL Server data types Introducing SQL Server data types, Character data, date and time data, queries that return date and time data, write queries that use date and time functions, write queries that return character data, write queries that return character functions. Hands on working with SQL Server data types. DML Adding data to tables, modifying and removing data, generating automatic column values, Inserting records with DML, updating and deleting records using DML. Hands on using DML to modify data. Built-in functions Queries with built-in functions, conversion functions, logical functions, functions with NULL, queries that use conversion functions, queries that use logical functions, queries that test for nullability. Hands on built-in functions Grouping and aggregating data Aggregate functions, the GROUP BY clause, filtering groups with HAVING, queries that use the GROUP BY clause, queries that use aggregate functions, queries that use distinct aggregate functions, queries that filter groups with the HAVING clause. Hands on grouping and aggregating data. Subqueries Self-contained subqueries, correlated subqueries, EXISTS predicate with subqueries, scalar and multi-result subqueries. Hands on subqueries. Table expressions Views, inline table-valued functions, derived tables, common table expressions. queries that use views, write queries that use derived tables, Common Table Expressions (CTEs), write queries that se inline Table valued expressions (TVFs). Hands on table expressions. Set operators The UNION operator, EXCEPT and INTERSECT, APPLY, queries that use UNION set operators and UNION ALL, CROSS APPLY and OUTER APPLY operators. Hands on set operators. Windows ranking, offset, and aggregate functions OVER, window functions, ranking functions, offset functions, window aggregate functions. Hands on; windows ranking, offset, and aggregate functions. Pivoting and grouping sets PIVOT and UNPIVOT, grouping sets, queries that use the PIVOT operator, queries that use the UNPIVOT operator, queries that use the GROUPING SETS CUBE and ROLLUP subclauses. Hands on pivoting and grouping sets Executing stored procedures Querying data with stored procedures, passing parameters to stored procedures, simple stored procedures, dynamic SQL, the EXECUTE statement to invoke stored procedures. Hands on executing stored procedures. Programming with T-SQL T-SQL programming elements, controlling program flow, declaring variables and delimiting batches, control-of-flow elements, variables in a dynamic SQL statement, synonyms. Hands on programming with T-SQL Error handling T-SQL error handling, structured exception handling, redirect errors with TRY/CATCH, THROW to pass an error message back to a client. Hands on implementing error handling. Implementing transactions Transactions and the database engines, controlling transactions, BEGIN, COMMIT, and ROLLBACK, adding error handling to a CATCH block. Hands on implementing transactions.

Learners will develop knowledge from the FD&FA foundation courses (C01 modules 1 and 2) and/or industry experience with specific regard to more complex system design considerations.

This Digital Electronics Course is designed to give practical knowledge of the type of electronic circuitry used in a modern Computer System or in any type of Computer Controlled equipment such as Photocopiers, Cash Registers, Tablets, mobile phones and many other types of IT equipment. Digital Electronics involves the use of Silicon chips (Integrated Circuits). The internal structure of a computer is to a large extent comprised of Digital Electronic Circuits.