457 Courses delivered Live Online

Overview 2 day course on scorecards, rating agency frameworks, regulation and integration and quantification of Environmental, Social and Governance (ESG) analysis into equity and credit investing / lending for / to corporates, banks and other financial institutions, applied to many case study companies and industries Who the course is for Investors and analysts – equity and credit; public and private Bank loan officers M&A advisors Restructuring advisors Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Overview The eight 1/2 day Support Manager course is uniquely created to provide training on the fundamentals of management relative to the support environment, and to enhance the inherent skills and knowledge of the support manager. This course focuses specifically on the most common management elements that occur in the technical support centre including, managing customer satisfaction, operations and team performance management and facilitating a team while managing a dynamic service product. This course offers support managers the opportunity to develop and refine their technology support leadership skills enabling them to effectively manage the challenges of the most complex support centres. Who Should Attend The Support Manager course is for managers who have at least six months management experience and have received some basic management training. Requirements The course begins with a review and quiz on a set of pre-class reading materials. These materials are sent to each participant two weeks prior to the class start date. Participants are strongly encouraged to register at least two weeks in advance to allow time to complete these pre-class assignments. Each participant is required to bring the pre-class reading materials as well as a notebook computer with a USB port and with Microsoft Excel, Word and PowerPoint installed. These will be used as tools during the course. All other materials and tools will be provided. Homework is assigned for most evenings of the course. Please plan for study time outside of class. Some of the training objectives… Manage dynamics of change within the support centre Enhance leadership skills Effective staff utilisation Increase support centre morale and retention

Overview Internal auditing is an independent and objective activity to evaluate an organisation's internal operations. You'll learn how to initiate an audit, prepare and conduct audit activities, compile and distribute audit reports and complete follow-up activities. It is very important for the organisation to have a smooth flow of accounting as it plays a very important role in the development of the organisation. Financial Managers or any person who deals with Accounts need to see that the company accounts are very updated and are free from any risks that can become a problem during the time of Auditing.  Objectives   By the end of the course, participants will be able to: Efficiently dealing with senior leaders with confidence Effective Contribution and Strategically Analysing and Auditing towards business success Analysing and Evaluating as an effective internal audit leader How to manage key relationships with the audit committee Practical methods for managing the audit committee and senior management Describing the significance to help maximize the contribution to their organization

Wellbeing Champions is a CPD accredited course created to train employees to become health and wellbeing advocates in the workplace. Champions have the knowledge, passion and practical tools to promote physical, mental, social and financial wellbeing while driving engagement for greater participation. Champions are encouraged to be pro-active in their role to underpin a preventative measure for employee wellbeing. Course includes 2 x Half Day Training Sessions On-Line Champions Lanyard Champions Badge Access To Champions Digital Toolbox Champions CPD Certificate - PDF

AAT Level 4 is the highest level or final stage of the AAT Accounting qualification. This qualification provides the skills necessary for a 'Finance Officer' role including the complex management accounting tasks, general management skills, drafting financial statements and specialist learning areas. This provides you with an opportunity to become a professional member of AAT and use it MAAT after your name. You are also entitled to exemptions in the UK's chartered and certified accounting qualifications. Besides, if you want to pursue your career further in University, you are entitled to exemptions for up to two years in various universities in the UK. What is AAT? AAT is an awarding body for vocational accountants. AAT is highly recognised globally with members over 130,000 worldwide. What are the benefits after completing AAT courses? A newly qualified AAT member can expect to earn an average of £21,600. Some accounting technicians work as accounts clerks; others go on to become managing directors or finance directors of well-known companies. Some go to work as a self employed accountant as AAT allows the student to become chartered. Osborne Training is an AAT Approved Training Provider in London. In taking the Association of Accounting Technicians qualification with Osborne Training, you will make one of the greatest decisions of your career. Duration You can expect this qualification to take 1-1.5 year to complete for most students. Tutors Tutors are highly qualified with extensive knowledge of accountancy. Study Options Distance Learning - Self Study with Study Material and access to Online study Material through Virtual Learning Campus. Osborne Books are delivered to students address with additional study materials and Tutorial support online. Online Live - Interactive tutorial sessions by expert tutors and access to world-class Virtual Learning campus for additional study materials. Classroom Based- Osborne Training offers Evening and Weekend sessions for AAT Level 4 from various centres in London, Watford, Birmingham etc. Once you finish AAT qualification and pass all exams successfully, you will be awarded globally recognised AAT Certificate in Accounting from AAT. AAT Level 4 Course Syllabus Management Accounting: Budgeting Management Accounting: Decision and Control Financial Statements of Limited Companies Accounting Systems and Controls Business Tax Personal Tax

Own Your Success is delighted to bring you the 'Bitesize Masterclass' with Sophie Chapman. Not everyone has the flexibility to step away from the office for in-person events or dedicate extended periods from their packed schedules for full or half-day sessions. So we've put together our 'Bitesize Masterclasses' to help assistants develop and learn from professionals such as Sophie - shorter sessions, same big impact!   Bitesize Masterclass with Sophie Chapman Sophie Chapman EA to Steven Bartlett  Although Sophie initially aspired to be a talent agent, she swiftly realised that her career passions lay within the administrative/operational aspects of working life. Following her graduation in Entertainment Management from LIPA in 2008, she gained extensive work experience across renowned entities such as Sony BMG and Sky One, operating within the spheres of TV, music, radio, and the events industry. Her pivotal entry into a PA role came while supporting musician Eliza Doolittle. After five years, Sophie opted to move home to Liverpool and accept a contract supporting Sir Dave Brailsford of Team Sky. Once complete, Sophie received an offer for a position based in the US with an A-list musician. However, her journey led her to discover her "forever role", providing support to Steven Bartlett. Steven, the Founder and former Group CEO of Social Chain, is a multifaceted individual—a published author, podcaster, entrepreneur, and presently, the youngest-ever Dragon on BBC's Dragon's Den. Sophie has been instrumental as Steven's Executive Assistant, operating on a global scale, in both private and corporate realms for six years.  Kate Wood Masterclass Facilitator  Kate will aid the facilitation of this Bitesize Masterclass, ensuring that crucial topics are covered while prioritising an environment where every participant feels acknowledged, valued, and heard throughout the session. Kate is a business owner, qualified coach, consultant, facilitator, trainer, podcaster and public speaker with a background in learning & development, employee engagement strategy, continuous improvement, communications and marketing. After 25 years working across the board in blue-chip, non-profit and civil service organisations she now provides support to businesses looking to evolve and become great places for people to work in and with. Having worked with a wide variety of clients from school-age students to senior executives, she has been designing and running workshops, seminars and classes in person or via web events since she left long commutes and corporate roles behind in 2014 when she created her first two businesses. Her passion is improving working relationships between roles and functions and supporting people to discover their best selves at work. She does this in the automotive industry, financial services, medical teams, charities, global media, retail, education systems and the arts. When she’s not working, she and her classic car Monty Morgan can be found zipping around the English countryside. Session topics: How to establish your self-leadership position in your EA capacity Transition from a PA to EA Career development Boundary setting and wellbeing Q&A with the audience - Open-Book Q&A What is a Bitesize Masterclass? Short burst session. Keynote speakers discuss key themes/topics they are passionate about. Q&A with the audience attendees - ask the questions you don't usually get to ask! Run time of 90 minutes (max 2 hours) - we block out two hours in case we overspill on questions. 😊 Virtually delivered - attend from anywhere that's convenient for you! Packed with content, tips and tricks and from industry professionals who can share their experiences with you. Who will attend? PA's EA's Administrative roles --------------------------- At Own Your Success, we strongly believe in fostering an inclusive environment where diversity is celebrated and discrimination of any form is unwelcome. We welcome attendees from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, religion, age, ability, or any other characteristic. Discrimination has no place in our workshops, and we are committed to creating a respectful and supportive space for all participants to learn and grow together. ---------------------------

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

leading expert Philip Warford will talk about the options available to protect a disabled person using specialist Wills and Trusts

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: IT/Senior managers Solutions architects/Enterprise architects Operations professionals Overview This course teaches you how to: Build your cloud strategy. Develop the hiring plan for your cloud team. Choose and prioritize which applications to move to AWS. Build a migration plan for moving workloads to AWS. Manage your AWS expenditures and internal chargebacks. This course teaches you how to select the right strategy, people, migration plan, and financial management methodology needed when moving your workloads to the cloud. This course provides guidance on how to build a holistic cloud adoption plan and how to hire people who will execute that plan. You will learn best practices for choosing workloads to migrate from your on-premises environment to AWS. In addition, you will also learn best practices for managing your AWS expenses and dealing with internal chargebacks. Building Your Cloud StrategyHiring Your Cloud TeamMigration PlanningCloud Expenditure Management