15726 Courses

Duration 1 Days 6 CPD hours This course is intended for To ensure success, students should have completed Excel Essentials and Excel Functions Including Pivot Tables and Lookups or have the equivalent knowledge and experience. Overview Upon successful completion of this course, students will be able to enhance productivity and efficiency by streamlining workflow, collaborate with others, and audit and analyse data. This course is designed for students desiring to gain skills necessary to create macros, collaborate with others, audit and analyse data, incorporate multiple data sources, and import data. Working with Multiple Worksheets and Workbooks Working with Named Ranges Link Cells Across Worksheets and Workbooks Use 3D References to Calculate Across Worksheets Consolidate Data Use Formula Auditing and Error Checking Reveal Formulas Trace Cell Precedents and Dependents Locate Errors in Formulas Watch and Evaluate Formulas Reviewing and Protecting Workbooks Control Data Entry via Data Validation Protect Workbook Access Protect Worksheets and Cell Content Add and Edit Comments Prepare a Workbook for Distribution Modify Excel's Default Settings Using Macros to Automate Workbook Functionality Create Macros via Recording Run Macros via Buttons and Shortcuts Assign Macros to the Quick Access Toolbar and Ribbon Assign Macros to Objects View Macro Code Forecasting and Analysis Data Use Conditional Formatting to Highlight, Sort and Filter Key Data Advanced Conditional Formatting using Formulas Create Sparklines to Visualise Data Add Trendlines to Charts to Visualise and Forecast Trends Use Data Tables and Scenarios to Project Potential Outcomes Use Goal Seek to Calculate Outcomes Forecast Data Trends Using Solver

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access

Source of funds and source of wealth are two important verification steps a firm can take to identify potential money laundering activities or other financial crime. The Money Laundering Regulations 2017 (MLR 2017) require firms, where necessary, to scrutinise the source of funds of a transaction to ensure they are consistent with their knowledge of the customer, their business and risk profile. In addition, where a matter is considered to be higher risk and therefore subject to enhanced due diligence, firms must also investigate the client’s overall source of wealth. Law firm staff must be able to differentiate between source of funds and source of wealth, having knowledge of how to verify each and identify any anomalies that do not align with their understanding of the client or the matter. Staff must have the knowledge and confidence to challenge clients and seek further clarification where the source may be unclear or highlight concerns. A number of firms who failed to sufficiently identify the source of funds and/or source of wealth have recently been fined by the SRA. In the year August 2024 to July 2025, fines in excess of £475,000 were recorded for AML breaches that included source of funds and source of wealth failings. This course will assist fee earners and support staff in understanding the difference between source of funds and source of wealth, enabling them to capably identify and verify funds in a matter. Where the SRA has found failings at firms in respect of source of funds or source of wealth, it has almost unanimously also found shortcomings in other areas of AML compliance. Where concerns are raised regarding a firm’s compliance with any aspect of the MLR 2017, the SRA will probe further and look into all areas of AML compliance. For information about DG Legal’s full range of AML training courses, please visit: https://dglegal.co.uk/training/upcoming-premier-training-courses/. Target Audience This online course is suitable for staff of all levels, from support staff to senior partners. Resources Comprehensive and up to date course notes will be provided to all delegates which may be useful for ongoing reference or cascade training. Please note a recording of the course will not be made available. Speaker Paul Wightman, Consultant, DG Legal A qualified barrister, Paul graduated in Law from Birmingham University and was called to the Bar in 1994. He subsequently spent almost 20 years working for the Law Society of England and Wales, initially within the Office for the Supervision of Solicitors, then the Legal Complaints Service (LCS), and ultimately the Solicitors Regulation Authority (SRA). Paul is adept at undertaking audits and providing succinct reports on areas for improvement and can assist firms with advice on all aspects of SRA compliance and Anti-Money Laundering procedures.

This course will show you why Hadoop is one of the best tools to work with big data. With the help of some real-world data sets, you will learn how to use Hadoop and its distributed technologies, such as Spark, Flink, Pig, and Flume, to store, analyze, and scale big data.

Time Management 1 Day Training in Bangor

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.

Report Writing 1 Day Training in Bangor

Public Speaking 1 Day Training in Swansea

Public Speaking 1 Day Training in Chorley

Public Speaking 1 Day Training in Bangor