3081 Courses in London delivered Online

The Introduction to M&A manual is an indispensable resource for finance professionals, auditors, and business managers looking at beginning their M&A journey. What is Inside the manual? Model Setup and Structure This foundational section covers everything from initial design principles to file naming conventions and sheet consistency. It also discusses the importance of freezing panes for ease of use, establishing a coherent model structure. Inputs, Assumptions, and Outputs Essential for the integrity and flexibility of financial models, this part delves into how to organise inputs and assumptions effectively, the creation of a control panel for easy scenario adjustments, and the clear presentation of outputs for decision-making. Advanced Excel Techniques Focusing on critical Excel functionalities such as relative vs. absolute referencing, naming cells and ranges, and the use of functions like IF, LOOKUP, and INDIRECT. It also covers the management of volatile functions and data consolidation techniques. Data Analysis and Presentation This section emphasises tools and methods for analysing model outputs, including pivot tables, array formulas, and sensitivity analysis using Goal Seek and data tables. It also covers the validation of data inputs and outputs, conditional formatting, and the creation of charts for visual representation of data. Model Auditing and Error Detection A critical component for ensuring the accuracy and reliability of financial models, this part provides strategies for auditing models, tracking changes, detecting errors, and utilising Excel's built-in auditing tools. It offers a systematic approach to reviewing models and ensuring they are free of errors and ready for use. Introduction to Mergers and Aquisitions This book offers a concise yet comprehensive guide to the intricacies of mergers and acquisitions (M&A), covering both theoretical strategies and practical steps involved in buying and selling companies. It explores the initial planning and strategy, dives into the specifics of dealing with both private and public companies, and discusses the critical aspects of deal structuring and post-acquisition integration.

Duration 2 Days 12 CPD hours This course is intended for This course is primarily for Application Consultants, Business Analysts, Business Process Owners/Team Leaders/Power Users, and Developer Consultants. Overview At course completion students will know- The basic functions and navigation options of BusinessObjects Analysis for Microsoft Office- The special functions and layout design options of BusinessObjects Analysis for Microsoft Office In this course, students learn the basic functions and navigation options of the Analysis edition for Microsoft Office. Students will also learn the special functions and layout design options of Analysis. Components and Data Sources for Analysis Using Analysis Components and Data Sources Customization for Workbook Data Analysis Using the Basic Components of Analysis Sorting and Filtering Workbook Members Filtering Selected Workbook Members by Measure for Enhanced Analysis Using Hierarchies for Data Analysis in Workbooks Using Inserted Components to Add Workbook Functionality Configuring Filter Components Using Formulas to Enhance the Workbook Layout Defining Conditional Formatting Options for Workbooks Using a Prompting Dialog in Workbook Queries Extending Workbook Display Options with Functions and Microsoft Excel VBA Using Styles to Customize Workbook Appearance Setting Preferences to Control Workbook Behavior Publishing Analysis Documents to the BI Platform Server Presentation of Workbook Analysis Data Presenting Analysis Data for Business Users Additional course details: Nexus Humans BOAN10 SAP BusinessObjects Analysis for Microsoft Office 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 BOAN10 SAP BusinessObjects Analysis for Microsoft Office 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 Experienced Programmers and Systems Administrators. Overview Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is ?skills-centric?, designed to train attendees in core Python and web development skills beyond an intermediate level, coupling the most current, effective techniques with best practices. Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to: ? Create working Python scripts following best practices ? Use python data types appropriately ? Read and write files with both text and binary data ? Search and replace text with regular expressions ? Get familiar with the standard library and its work-saving modules ? Use lesser-known but powerful Python data types ? Create 'real-world', professional Python applications ? Work with dates, times, and calendars ? Know when to use collections such as lists, dictionaries, and sets ? Understand Pythonic features such as comprehensions and iterators ? Write robust code using exception handling An introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features. An Overview of Python What is python? 1 -- An overview of Python What is python? Python Timeline Advantages/Disadvantages of Python Getting help with pydoc The Python Environment Starting Python Using the interpreter Running a Python script Python scripts on Unix/Windows Editors and IDEs Getting Started Using variables Built-in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Sequences About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Converting binary data with struct Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Parameters Global and local scope Nested functions Returning values Sorting The sorted() function Alternate keys Lambda functions Sorting collections Using operator.itemgetter() Reverse sorting Errors and Exception Handling Syntax errors Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages The import statement Module search path Creating Modules Using packages Function and Module aliases Classes About o-o programming Defining classes Constructors Methods Instance data Properties Class methods and data Regular Expressions RE syntax overview RE Objects Searching and matching Compilation flags Groups and special groups Replacing text Splitting strings The standard library The sys module Launching external programs Math functions Random numbers The string module Reading CSV data Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Working with the file system Paths, directories, and filenames Checking for existence Permissions and other file attributes Walking directory trees Creating filters with fileinput Using shutil for file operations 17 ? Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network services Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Parsing command-line options Detecting the current platform Trapping signals Implementing logging Python Timeline Advantages/Disadvantages of Python Getting help with pydoc

Want to become an expert NLP engineer and a data scientist? Then this is the right course for you. In this course, we will be covering complex theory, algorithms, and coding libraries in a very simple way that can be easily grasped by any beginner as well.

Duration 4 Days 24 CPD hours This course is intended for This course is best suited to developers, engineers, and architects who want to use use Hadoop and related tools to solve real-world problems. Overview Skills learned in this course include:Creating a data set with Kite SDKDeveloping custom Flume components for data ingestionManaging a multi-stage workflow with OozieAnalyzing data with CrunchWriting user-defined functions for Hive and ImpalaWriting user-defined functions for Hive and ImpalaIndexing data with Cloudera Search Cloudera University?s four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH). IntroductionApplication Architecture Scenario Explanation Understanding the Development Environment Identifying and Collecting Input Data Selecting Tools for Data Processing and Analysis Presenting Results to the Use Defining & Using Datasets Metadata Management What is Apache Avro? Avro Schemas Avro Schema Evolution Selecting a File Format Performance Considerations Using the Kite SDK Data Module What is the Kite SDK? Fundamental Data Module Concepts Creating New Data Sets Using the Kite SDK Loading, Accessing, and Deleting a Data Set Importing Relational Data with Apache Sqoop What is Apache Sqoop? Basic Imports Limiting Results Improving Sqoop?s Performance Sqoop 2 Capturing Data with Apache Flume What is Apache Flume? Basic Flume Architecture Flume Sources Flume Sinks Flume Configuration Logging Application Events to Hadoop Developing Custom Flume Components Flume Data Flow and Common Extension Points Custom Flume Sources Developing a Flume Pollable Source Developing a Flume Event-Driven Source Custom Flume Interceptors Developing a Header-Modifying Flume Interceptor Developing a Filtering Flume Interceptor Writing Avro Objects with a Custom Flume Interceptor Managing Workflows with Apache Oozie The Need for Workflow Management What is Apache Oozie? Defining an Oozie Workflow Validation, Packaging, and Deployment Running and Tracking Workflows Using the CLI Hue UI for Oozie Processing Data Pipelines with Apache Crunch What is Apache Crunch? Understanding the Crunch Pipeline Comparing Crunch to Java MapReduce Working with Crunch Projects Reading and Writing Data in Crunch Data Collection API Functions Utility Classes in the Crunch API Working with Tables in Apache Hive What is Apache Hive? Accessing Hive Basic Query Syntax Creating and Populating Hive Tables How Hive Reads Data Using the RegexSerDe in Hive Developing User-Defined Functions What are User-Defined Functions? Implementing a User-Defined Function Deploying Custom Libraries in Hive Registering a User-Defined Function in Hive Executing Interactive Queries with Impala What is Impala? Comparing Hive to Impala Running Queries in Impala Support for User-Defined Functions Data and Metadata Management Understanding Cloudera Search What is Cloudera Search? Search Architecture Supported Document Formats Indexing Data with Cloudera Search Collection and Schema Management Morphlines Indexing Data in Batch Mode Indexing Data in Near Real Time Presenting Results to Users Solr Query Syntax Building a Search UI with Hue Accessing Impala through JDBC Powering a Custom Web Application with Impala and Search

Duration 3 Days 18 CPD hours This course is intended for This course is appropriate for anyone needing to interface with an Oracle database or those needing a general understanding of Oracle database functionality. That would include end users, business analysts, application developers and database administrators. Overview Working in a hands-on learning environment led by our expert pracitioner you'll learn how to: Add Data, Retrieve, Sort and Organize a SQL Database Combine Data, Set Operators and Subqueries Manipulate Data and Data Definition Languages in SQL Work with Data Dictionary Views and Create Sequences, Indexes and Views Use Database Objects and Subqueries Perform Data and access control Perform other Advanced Level Database operations. Oracle 19C SQL Programming Fundamentals Is a three-day, hands-on course designed to equip you with the fundamental skills needed to set up, run and manage SQL databases using Oracle Database Technology. You will also be discovering all the tools and concepts required to organize data efficiently. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment, guided by our expert team, attendees will develop a practical approach to Oracle Database Technology. Throughout the course, you will learn the key elements of a database, and the way Oracle systems facilitate their induction in the system. You?ll also learn the tools and strategies you can implement to store, retrieve, compare and organize data according to your requirements. You?ll also explore the process of creating simple to complex reports from existing data. By the end of this course, you will also have hands-on knowledge of SQL systems that are required to proceed to other advanced to professional programs. Adding Data, Retrieving, Sorting and Organizing a SQL Database The building blocks of a database. How to add data to the database. The process of retrieving data using SQL functions. Multiple methods of sorting and organizing data. Using SQL functions to get the required simple to complex output. Various strategies for using functions and conditions to organize data. Combining Data, Set Operators And Subqueries Consolidating data using multiple functions and group operators. Fetching intelligent data reports using simple functions. Fetching data from multiple sources in the tables. Using Subqueries to compile data as required. Using Set operators to create smart data reports. Data Manipulation and Data Definition Languages in SQL Describing and managing data transaction using Data Definition Language. Categorize and review data tables using Data Definition Language. Data Dictionary Views and Creating Sequences, Indexes and Views How to manage and query Data Dictionary Views. The process of creating and using Sequences. How to create various types of Synonyms and Indexes. Creating simple and complex views and retrieving data. Understanding and using Database Objects and Subqueries Core concept and application of Schema Objects. Fetching required data with Subqueries. Using Subqueries to organize Data in SQL. Data and access control Assigning and revoking data access. Managing data access control according to user levels. Performing Advanced Level Database operations. Using advanced functions and performing data queries. Creating and managing time zone-based databases.

Prologue to IoT - Internet of Things Finding out about the Internet of Things is imperative for every individual who needs to improve the manner in which they convey and get modern on the most energizing innovation accessible. IoT can improve the manner in which you work, play and carry on with your life and is fundamental information for organizations and people. This course covers all you require to think about IoT, including a full definition and exhaustive investigation of the various gadgets accessible. From the total manual for Smart Home, Smart Environments and Smart Vehicle answers for an examination of the innovation which unites everything, this course is a definitive initial manual for IoT. You Will Learn A full meaning of IoT and the various gadgets included A complete manual for Home Automation (Smart Home) arrangements Reasonable utilizations of IoT, including Smart Environments and Vehicles The different advancements used to empower IoT gadgets and articles Advantages of Taking This Course You will improve profitability and benefit through IoT development You will save time and exertion via computerizing your associations You will pull in new business by staying current and applicable You will settle on educated IoT decisions by seeing how it functions and what it can accomplish

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If you are someone wishing to learn to code in Python, then this is just what you need. This course will help you build a solid foundation in coding with Python 3. It includes lots of opportunities for practice that will help put your learnings into action!

Are you ready to dive into the world of intelligence analysis and make a significant impact in national security and beyond? Our comprehensive Intelligence Analyst Certification is designed to equip you with the essential skills and knowledge needed to excel in this critical field. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In the Intelligence Analyst Certification course, learners delve into the fundamental aspects of intelligence analysis. They start by understanding the essence of intelligence analysis, its historical evolution, and current best practices. The course emphasizes the intelligence cycle, teaching how information is gathered, processed, and disseminated to support decision-making. Participants learn about their roles and responsibilities as analysts, honing critical thinking skills and techniques for organizing information effectively. Legal and ethical considerations in intelligence operations are also covered, ensuring analysts understand boundaries and responsibilities in their work. Lastly, the course explores the broader context of intelligence in national security, highlighting its importance and impact on policies and strategies. Overall, learners gain comprehensive knowledge and skills necessary to perform effectively as intelligence analysts in various professional settings. Course Curriculum Module 01: Introduction to the Course Module 02: Defining Intelligence Analysis Module 03: Development of Intelligence Analysis Module 04: Intelligence Analysis and Best Practice Module 05: The Intelligence Cycle Module 06: Your Role, Responsibilities, and Functions as an Analyst Module 07: Critical Thinking and Structuring Module 08: Legal Issues and Ethics Module 09: Intelligence and National Security Learning Outcomes: Understand the fundamentals of Intelligence Analysis and its historical evolution. Apply critical thinking techniques to structure intelligence reports effectively. Comprehend legal and ethical considerations in the context of intelligence operations. Demonstrate proficiency in the Intelligence Cycle and its application in practice. Identify roles, responsibilities, and functions within the scope of intelligence analysis. Analyse the relationship between intelligence and national security issues. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals aspiring to work in intelligence-related governmental departments. Professionals seeking to enhance their analytical skills in national security contexts. Graduates aiming to start a career in intelligence analysis roles. Military personnel transitioning to civilian intelligence roles. Law enforcement officers interested in intelligence gathering and analysis. Career path Intelligence Analyst Counterintelligence Officer Risk Assessment Analyst Security Intelligence Specialist National Security Analyst Cyber Intelligence Analyst Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.