Overview Consolidating a financial statement is very important and is one of the major tools to combine everything related to finance. This course is designed to deliver robust training on consolidated financial statements and prepare you in a perfect manner to directly implement at your workspace when you leave the training session This course will provide you with all the skills required to understand accounting and financial statements in the organisation or local government. It provides complete coverage to all the areas of financial statements with in-depth knowledge of partnerships and fiduciary accounting.
Overview It is very important to analyse financial operations within financial functions or outside financial functions. If they are utilized and implemented properly it will contribute towards the success of the business. This program will give you in-depth knowledge of financial operations and reporting supported by important aspects of theory together with practical methods and techniques. This course is specially designed by experts who have a wealth of experience in the related field. In this course, you'll gain knowledge in financial operations and reporting as well as its foundations, methods and techniques.
Overview Financial Analysis and reporting play a very important role within the organisation and its stakeholders. This course is designed to analyse the functions of financial reporting in communication and its effects on decision-making processes or managerial decisions. It will highlight the accounting and financial standards-setting process and its implication on the organisation globally. Financial Analysis and reporting discuss how accountants act as processors and purveyors of information for decision-making and the needs of those who use accounting information. It also looks at the role performed by accountants and notes the need to be aware of relevant regulatory and conceptual frameworks.
Overview In this course you will learn to build a financial model by working in Excel and how to perform sensitivity analysis in Excel. You will also learn the formulas, functions and types of financial analysis to be an Excel power user. By attending this course, you will be able to effectively prepare and build financial models. Objectives Harness Excel's tools within a best practice framework Add flexibility to their models through the use of switches and flexible lookups Work efficiently with large data volumes Model debt effectively Approach modelling for tax, debt, pensions and disposals with confidence Build flexible charts and sensitivity analysis to aid the presentation of results Learn and apply Excel tools useful in financial forecasting Understand and design the layout of a flexible model Forecast financial statements of a public or private company Apply scenario analysis to the forecasted financial statements and prepare charts for data presentation
Overview Any business life is completely dependent on Sales and Marketing. It delivers a significant business benefit. Providing effective training in Sales and Marketing helps boost sales, increase profit, create a brand image and also improve customer satisfaction. The role of a sales director is crucial in improving an organization's revenue and sales. A good sales director can affect the overall performance of a business. The course is designed with a lot of practical exercises, and modern techniques, taking the delegates' skills to an advanced level. This will help the delegates to attain the skills they require and implement what they learn in their work efficiently and to their highest potential. This course will help review overall sales strategies and how they can contribute in order to achieve a desired positive outcome. It will set measurable objectives and standards within the team and will boost the confidence in their performance and achieve the objectives.
Overview There are many companies that have designed a creative environment for their employees to help them relax and spark creative thinking to enhance the performance of the people working in the organisation. The creative way help boost the mind of the employees and thereby generate a positive attitude. This course will help organizations to do regular brainstorming sessions when working on a project to allow employees to contribute and build on a project. This will create an immense engagement as their team members are involved in the creative process.
Overview SEO help you define your most profitable focused audience and develop a bridge of communication that reach them directly, thereby positioning your product in the right and most efficient way. Using SEO skills targets increasing the number of visitors to a website and ensuring that the site appears high in ranking on the list of top page results returned by a search engine. SEO has become an increasingly sought-after skill for companies who want to keep track of their rankings in Google's organic search. To reach the customer nationally or internationally, SEO is the only way where we can reach a global market. It is very important to understand the techniques of SEO and how to use Digital Marketing in a more efficient way to reach every corner of the world. This Specialized course will highlight the skills required to optimize website content for top SE Ranking. Through this course, you will learn the algorithms many search engines follow including Google Search. Specially designed with a lot of practical and live examples of advanced SEO techniques used by professionals you will gain a real-world skill to enhance your knowledge in Content Marketing, On-Off Page Optimization, followed by aligning SEO with overall business strategies.
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.
Network automation course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network automation course details Who will benefit: Network engineers. Prerequisites: TCP/IP foundation for engineers. Duration 5 days Network automation course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/ or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles Configuration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Scripting versus application development, Python interactive mode, Python scripts, Python 2.7 vs Python 3. A simple Python script. Variables, loops, control statements, operators. PEP style guide. Python IDEs. Hands on Simple Python programs. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install, Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. PyEZ Juniper, NETCONF, installing PyEZ, a first pyEZ script, pyEZ configuration management. Hands on Juniper configuration management with pyEZ. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.