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.
Intercultural Competence: In-House Training In a world that conducts business across continents and geographical borders, more than ever it is essential for team and organizational leaders to not only understand but also embrace the diversity of cultures; this is intercultural competence. Intercultural competence gives one the ability to effectively and appropriately communicate with people from other cultures in a competitively complex world. The participant in this program will gain cultural insights needed to build intercultural teams and navigate cultural diversities, without knowingly violating what are deemed to be acceptable or unacceptable cultural norms. What you will Learn At the end of this program, you will be able to: Articulate on the meaning of culture and intercultural competence Express the importance of body language and appropriately demonstrate its emblems Describe three cultural models and consider their application in assimilating cultural behaviors Define emotional intelligence and explain how it is linked to cultural intelligence Examine the four cultural intelligence capabilities and give examples of how each is developed Develop a personal cultural profile and compare its dimensions to gain an appreciation for intercultural competence Foundation Concepts Fundamentals of culture Culture and body language Culture and proxemics Cultural Models Iceberg culture model The onion model of culture Hofstede's model of national cultures High-context and low-context cultures Cultural Intelligence Emotional intelligence overview Cultural intelligence overview Cultural Profile Cultural profile dimensions Understanding your cultural profile
This is a practical ‘non medical’ day for front line practitioners working with children and young people with serious attachment issues arising from loss, trauma and abuse. We look at what Psychology may help us in our understanding of children who have faced issues with love and attachment. Splitting, handling projected feelings, constancy and permanence are explored. Online Course now available via Teachable Platform – Understanding Attachment Learn at your own pace… lots of text and video support Course Category Meeting emotional needs Behaviour and Relationships Inclusion Teaching and Learning Description This is a practical ‘non medical’ day for front line practitioners working with children and young people with serious attachment issues arising from loss, trauma and abuse. Drawing from the international research and literature and our own experience over many years as educational psychologists of the challenges of children with major social and emotional needs, we will explore together what the best practice can and could look like. We explore the language of attachment and outline very practical classroom strategies. We look at what Psychology may help us in our understanding of children who have faced issues with love and attachment. We explore the feelings of being on a desolate island of relational poverty or to imagine swimming with sharks. We explore the themes of violence, anxiety and experience of being a victim as young people grow older. We look at telling lies and explore how we can respectfully understand this. We reveal the new and innovative compass of vulnerability – the cognitive errors to which some are much more vulnerable. We look at triggers, self regulation and unpack a range of strategies. Transference and counter transference are examined along with splitting, handling projected feelings, constancy and permanence. We explore what young people with these difficulties really need from us. We also spend time looking at the emotional impact on practitioners working with children with such needs and what helps at an personal and team level. We can all do something – we do not have to wait for expert therapists to arrive! Testimonials Very moving presentation I will always try and think behind the behaviour now It had a huge impact on all levels We all seem to need it Belonging and feelings are so important Very user friendly Excellent! Learning Objectives Increased confidence regarding developing inclusive practice for children with serious attachment needs in mainstream schools Simple understandable explanation of attachment understood Access to a wider range of practical strategies to impact on social and behavioural needs Deeper understanding of core values surrounding inclusion of emotionally disabled children Opportunity to reflect on professional attitudes and behaviour towards parents and pupils with complex emotional needs New skills, scripts and processes to make inclusion successful Who Is It For ? Practitioners working in schools and other settings with children and young people of all ages Key workers Teaching Assistants with support roles Heads and deputies SENCOs Advanced skills teachers Primary and secondary classroom teachers Parents Local authority support services Course Content The course explores the questions : How can we start to develop an understanding of children with attachment needs? What is the true impact of loss, trauma and abuse? What else can we do to go about including high profile children or young people with challenging emotional needs? What useful psychological constructs can we use to guide us? This course also explores practical strategies and language for key adults rebuilding relationships with individual pupils. This is a participative day that aims to be explorative and practical. Opportunities to develop empathy with the children of concern will be created.
Windows PowerShell training course description This course is intended for IT Professionals who are already experienced in general Windows Server and Windows Client administration, and who want to learn more about using Windows PowerShell for administration. No prior experience with any version of Windows PowerShell, or any scripting language, is assumed. This course is also suitable for IT Professionals already experienced in server administration, including Exchange Server, SharePoint Server, SQL Server, System Center, and others. What will you learn Work with Windows PowerShell pipeline. Query system information by using WMI and CIM. Work with variables, arrays, and hash tables. Write advanced scripts in Windows PowerShell. Administer remote computers. Use advanced Windows PowerShell techniques. Windows PowerShell training course details Who will benefit: IT professionals. Prerequisites: Supporting Windows Server Duration 5 days Windows PowerShell training course contents Getting started with Windows PowerShell Overview and background of Windows PowerShell, Understanding command syntax, Finding commands. Hands on Configuring Windows PowerShell console & ISE application. Hands on Finding and running basic commands, Using the About files. Cmdlets for administration Active Directory administration cmdlets, Network configuration cmdlets, Other server administration cmdlets. Hands on Windows Administration. Creating and managing Active Directory objects, Configuring network settings on Windows Server, Creating a web site. Working with the Windows PowerShell pipeline Understanding the pipeline, Selecting, sorting, and measuring objects, Filtering objects out of the pipeline, enumerating objects in the pipeline, Sending pipeline data as output. Hands on Using the pipeline. Selecting, sorting, and displaying data. Hands on Filtering objects. Hands on Enumerating objects. Hands on Sending output to a file. Exporting user information to a file. Understanding how the pipeline works Passing the pipeline data, Advanced considerations for pipeline data. Hands on Working with pipeline parameter binding. Predicting pipeline behaviour. Using PSProviders and PSDrives Using PSProviders, Using PSDrives. Hands on Using PSProviders and PSDrives Creating files and folders on a remote computer, Creating a registry key for your future scripts, Create a new Active Directory group. Querying system information by using WMI and CIM Understanding WMI and CIM, Querying data by using WMI and CIM, Making changes with WMI/CIM. Hands on Working with WMI and CIM. Querying information by using WMI, Querying information by using CIM, Invoking methods. Working with variables, arrays, and hash tables Manipulating variables, arrays and hash tables. Hands on Working with variables, Using arrays, Using hash tables. Basic scripting Introduction to scripting, Scripting constructs, Importing data from files. Hands on Basic scripting. Setting a script, Processing an array with a ForEach loop, Processing items by using If statements, Creating a random password, Creating users based on a CSV file. Advanced scripting Accepting user input, Overview of script documentation, Troubleshooting and error handling, Functions and modules. Hands on Accepting data from users. Querying disk information from remote computers, Updating the script to use alternate credentials, Documenting a script. Hands on Implementing functions and modules. Creating a logging function, Adding error handling to a script, Converting a function to a module. Administering Remote Computers Using basic Windows PowerShell remoting, Using advanced Windows PowerShell remoting techniques, Using PSSessions. Hands on Using basic remoting. Enabling remoting on the local computer, Performing one-to-one remoting, Performing one-to-many remoting. Hands on Using PSSessions. Using implicit remoting, Managing multiple computers. Using background jobs and scheduled jobs Using background jobs, Using scheduled jobs. Hands on Using background jobs and scheduled jobs. Starting and managing jobs, Creating a scheduled job. Using advanced Windows PowerShell techniques Creating profile scripts, Using advanced techniques. Hands on Practicing advanced techniques. Creating a profile script, Verifying the validity of an IP address, Reporting disk information, Configuring NTFS permissions, Creating user accounts with passwords from a CSV file. Hands on Practicing script development (optional)
Regular expressions training course description Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Python and MySQL. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them. What will you learn Use Regular Expressions. Troubleshoot Regular Expressions. Compare RE features among different versions. Explain how the regular expression engine works. Optimize REs. Match what you want, not what you don't want. Regular expressions training course details Who will benefit: Anyone looking to use regular expressions. Prerequisites: None. Duration 1 day Regular expressions training course contents Introduction to Regular Expressions Solving real problems, REs as a language, the filename analogy, language analogy, RE frame of mind, searching text files: egrep, egrep metacharacters, start and end of the line, character classes, matching any character with dot, alternation, ignoring differences in capitalization, word boundaries, optional items, other quantifiers: repetition, parentheses and backreferences, the great escape, expanding the foundation, linguistic diversification, the goal of a RE, more examples, RE nomenclature, Improving on the status quo. Extended introductory examples A short introduction to Perl, matching text with regular expressions, toward a more real-world example, side effects of a successful match, Intertwined regular expression, intermission, modifying text with regular expressions, example: form letter, example: prettifying a stock price, automated editing, a small mail utility, adding commas to a number with lookaround, text-to-HTML conversion, that doubled-word thing. Regular expression features and flavours The regex landscape, origins of REs, care and handling of REs, Integrated handling, procedural and object-oriented handling, search-and-replace example. strings character encodings and modes, strings as REs, character-encoding issues, unicode, regex modes and match modes, common metacharacters and features, character representations, character classes and class-like constructs, anchors and other 'zero-width assertions', comments and mode modifiers, grouping capturing conditionals and control. The mechanics of expression processing Two kinds of engines, new standards, regex engine types, from the department of redundancy department, testing the engine type, match basics, about the examples, rule 1: the match that begins earliest wins, engine pieces and parts, rule 2: the standard quantifiers are greedy, regex-directed versus text-directed, NFA engine: regex-directed, DFA engine: text-directed, first thoughts: NFA and DFA in comparison, backtracking, two important points on backtracking, saved states, backtracking and greediness, more about greediness and backtracking, problems of greediness, multi-character 'quotes', lazy quantifiers, greediness and laziness, laziness and backtracking, possessive quantifiers and atomic grouping, possessive quantifiers ?, +, *+, ++ and {m,n}+, the backtracking of lookaround, is alternation greedy? taking advantage of ordered alternation, NFA DFA and posix, the longest-leftmost', posix and the longest-leftmost rule, speed and efficiency. Practical regex techniques Continuation lines, matching an IP address, working with filenames, matching balanced sets of parentheses, watching out for unwanted matches, matching delimited text, knowing your data and making assumptions, stripping leading and trailing whitespace, matching and HTML tag, matching an HTML link, examining an HTTP URL, validating a hostname, plucking a hostname, plucking a URL, parsing CSV files. Crafting an efficient expression Efficiency vs. correctness, localizing greediness, global view of backtracking, more work for POSIX NFA, work required during a non-match, being more specific, alternation can be expensive, benchmarking, know what you re measuring, benchmarking with Python, common optimisations, the mechanics of regex application, pre-application optimizations, optimizations with the transmission, optimization of the regex itself, techniques for faster expressions, common sense techniques, expose literal text, expose anchors, lazy versus greedy: be specific, split into multiple REs, mimic initial-character discrimination, use atomic grouping and possessive quantifiers, lead the engine to a match, unrolling the loop, observations, using atomic grouping and possessive quantifiers, short unrolling examples, unrolling C comments, the free flowing regex, a helping hand to guide the match, a well-guided regex is a fast regex.
Effecting Business Process Improvement: In-House Training Business analysts facilitate the solution of business problems. The solutions are put into practice as changes to the way people perform in their organizations and the tools they use. The business analyst is a change agent who must understand the basic principles of quality management. This course covers the key role that business analysts play in organizational change management. What you will Learn You will learn how to: Define and document a business process Work with various business modeling techniques Perform an enterprise analysis in preparation for determining requirements Analyze business processes to discern problems Foundation Concepts Overview of business analysis and process improvement Defining the business process Introducing the proactive business analyst Focusing on business process improvement for business analysts Launching a Successful Business Process Improvement Project Overview of the launch phase Understanding and creating organizational strategy Selecting the target process Aligning the business process improvement project's goals and objectives with organizational strategy Defining the Current Process Overview of current process phase Documenting the business process Business modeling options: work-flow models Business modeling options: Unified Modeling Language (UML) model adaptations for business processes Analyzing the Current Process Process analysis overview Evaluation: establishing the control group Opportunity techniques: multi-discipline problem-solving Opportunity techniques: matrices Building and Sustaining a Recommended Process Overview of the recommended process and beyond Impact analysis Recommended process Transition to the business case Return to proactive state
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.
Business Relationship Management Fundamentals: In-House Training Business Relationship Management (BRM) Fundamentals introduces BRM as a capability, role, and discipline. What you will Learn Participants can expect an interactive and lively one-day session, with a high-level introduction to successfully navigate the complexity of BRM. Topics include: Defining BRM as a capability, role, and discipline Understanding what a BRM does and does not do Providing the language needed to change perceptions and perspectives Learn how the BRM discipline interacts with other disciplines (project management, architecture, Business Analysts, Business functions, strategy, etc.) inside an organization Basic introduction to the different frameworks, processes, and models to bring structure and guidance to BRM Introductions Why BRM? BRM defined BRM in action BRM value Reflection and next steps Resources
About this Training Course This 3 full-day training course will introduce participants to the Microsoft Power BI® software solution for extracting, manipulating, visualising and analysing data. This is a very practical, hands-on course that takes participants through a series of exercises which help users understand the Power BI® environment, how to use the key areas of functionality, and how to apply the tools it contains to design and produce analyses of their own data. The first two days focus on learning the key concepts and practising these using clean, simple datasets. The third day provides participants with the opportunity to apply what they've learned to their own data. This makes the course far more relevant and meaningful for them, it allows our facilitator to help them structure their data models, queries and DAX formulas correctly, and it allows our facilitator to help them solve any additional problems that may arise but which were not covered as part of the standard the course. In addition, at the end of the day, each participant walks away with something of real, practical use for their job role. Many previous participants have remarked that they obtained the most value from the course during the third day because otherwise, they wouldn't be able to do what they need to do. This is an introductory course and although it does not assume any prior experience with Power BI®, participants will gain much more from the course if they have at least used Power BI® a little prior to attending. Participants who have taught themselves Power BI® will also benefit from attending as the course will fill-in a number of gaps in their knowledge and will also extend what they know. A general understanding of databases, Excel formulas, and Excel Pivot Tables is useful though not essential. Comprehensive course notes, exercises and completed solutions are included. Microsoft® PowerBI® is a trademark of Microsoft Corporation in the United States and/or other countries. Training Objectives Upon completion of this training course, participants will be able to: Confidently use the Power BI® solution, including Power BI® Desktop, PowerBI®.com and the Power BI® Gateway Extract data from a variety of data sources and manipulate the data extracted so it is ready for analysis Combine data sources together and gain an introductory understanding of the M language Write formulas using the DAX language for generating custom columns, measures and tables Design reports and dashboards using a wide range of both built-in and custom visuals Publish reports and dashboards to PowerBI®.com Share reports and dashboards with others using PowerBI®.com Customize reports and dashboards so that different user groups automatically see their own personalized views Target Audience This training course is intended for: Financial Analysts Accountants Budgeting and planning specialists Treasury Risk Managers Strategic Planners This is an introductory course and although it does not assume any prior experience with Power BI®, participants will gain much more from the course if they have at least used Power BI® a little prior to attending. Participants who have taught themselves Power BI® will also benefit from attending as the course will fill-in a number of gaps in their knowledge and will also extend what they know. A general understanding of databases, Excel formulas, and Excel Pivot Tables is useful though not essential. Comprehensive course notes, exercises and completed solutions are included. Course Level Basic or Foundation Trainer Your expert course leader has a Masters (Applied Finance & Investment), B.Comm (Accounting & Information Systems), CISA, FAIM, F Fin and is a Microsoft Certified Excel Expert. He has over 20 years' experience in financial modelling, forecasting, valuation, model auditing, and management reporting for clients throughout the world. He is skilled in the development and maintenance of analytical tools and financial models for middle-market companies to large corporates, at all levels of complexity, in both domestic and international settings. He has trained delegates from a wide variety of Oil & Gas companies including Chevron, Woodside, BHP Billiton, Petronas, Carigali, Shell, Nippon, Eni, Pertamina, Inpex, and many more. He provides training in financial modelling for companies throughout the Asia, Oceania, Middle East and African regions. Before his current role, he spent 6 years working in the Corporate and IT Consulting divisions of a large, multinational Chartered Accounting firm. He is the author of a number of white papers on financial modelling on subjects such as Financial Modelling Best Practices and Financial Model Auditing. Highlights from his oil and gas experience include: Development of economic models to assist Decision Analysts modelling for a wide range of scenarios for multinational oil & gas assets. Auditing and further development of life of project models for Chevron's Strategic Planning Division analysing their North West Shelf assets. Development of business plan and budgeting models for multinational oil & gas assets. Development of cash flow and taxation models for a variety of oil gas companies. Consulting on Sarbanes Oxley spreadsheet remediation and risk assessment. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations
This training session includes: · Terminology/language · Gender/sexuality · Allyship · Unconscious bias We can tailor the package to your specific organisation needs too!