5413 Courses in Cardiff delivered Live Online

Total SAGE Training (Sage 50 Accounts + Sage Payroll Training) Want to open the door to working in Finance and Accountancy Industry? Starting our Total Sage Training courses will enhance your career potentials and give you the skills and knowledge you need to get started in Finance and Accountancy Industry. Total Sage Training courses are combined with Sage 50 Accounts and Sage Payroll Training. You will receive a CPD Completion Certificate from Osborne Training once you finish the course. You also have an Option to attain Certificate from SAGE(UK) subject to passing the exams. What qualification will I gain for Sage Training Courses? CERTIFICATION FROM SAGE (UK) As Osborne Training is a Sage (UK) Approved training provider, you could gain the following qualifications provided that you book and register for exams and pass the exams successfully: Sage 50c Computerised Accounting Course (Level 1) Sage 50c Computerised Accounting Course (Level 2) Sage 50c Computerised Accounting Course (Level 3) Sage 50c Computerised Payroll Course (Level 1) Sage 50c Computerised Payroll Course (Level 2) Sage 50c Computerised Payroll Course (Level 3) Level 1 Working with Sage 50 Accounts Program Basics. Creating Account names, Numbers & Bank Payments Financials Bank Reconciliations Generating Customers Invoices Monitoring Customer Activity Generating Product Invoices & Credit Notes Compiling & Sending Customer Statements Creating Customer Receipts & Purchase Invoices Supplier Payments Managing Recurring Entries Generating Reports & Information The Active Set-Up Wizard VAT Changes. Level 2 An overview of the Sage program Entering opening balances, preparing and printing a trial balance Creating customer records Creating supplier records Setting up opening assets, liabilities and capital balances, Producing routine reports Checking data, Entering supplier invoices Posting error corrections, amending records Invoicing, generating customer letters, entering new products, checking communication history Banking and payments, producing statements, petty cash Audit trails, correcting basic entry errors, reconciling debtors and creditors Creating sales credit notes, Processing purchase credit notes Preparing journals Verifying Audit Trail Purchase orders, processing sales orders Processing Trial Balance Creating Backups Restoring data Writing-off bad debts Level 3 Creating a Chart of Accounts to Suit Company Requirements Sole Trader Accounts preparation The Trial Balance preparation Errors in the Trial Balance Disputed Items Use of the Journal Prepare and Process Month End Routine Contra Entries The Government Gateway and VAT Returns Bad Debts and Provision for Doubtful Debts Prepare and Produce Final Accounts Management Information Reports Making Decisions with Reports Using Sage The Fixed Asset Register and Depreciation Accruals and Prepayments Cash Flow and Forecast Reports Advanced Credit Control

Overview A comprehensive and practical 3 days workshop on pricing, using and managing structured interest rate derivatives. What used to be called exotic interest rate derivatives are now commonplace and an essential part of the financial marketplace either as legacy transactions or embedded in new structures. This intensive course is for anyone who wishes to be able to use, price, manage, market or evaluate standard interest rate derivatives such as Constant Maturity Swaps, Range Accruals and Quantos. We also look in detail at such important products as CMS spread-linked structures and volatility/variance swaps, always from a pragmatic practitioner’s perspective. Who the course is for This course is designed for anyone who wishes to be able to price, use, market, manage or evaluate interest rate derivatives. Interest-rate sales / traders / structurers / quants IT Bank Treasury ALM Central Bank and Government Treasury Funding managers Insurance Investment managers Fixed Income portfolio managers IPV professionals 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 Learn in detail about Exotic Options – Taxonomy, Barriers, and Baskets Who the course is for Fixed Income sales, traders, portfolio managers Bank Treasury Insurance Pension Fund ALM employees Central Bank and Government Funding managers Risk managers Auditors Accountants 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 Learn about contract triggers, including European vs. American style, and variations like one-touch, no-touch, and double no-touch options. Who the course is for Risk managers IT System developers Traders and derivatives teams Consultants and brokers 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

This course will introduce you to the international sales negotiation process, outline the importance of pre-negotiation research, and explain why concession planning is essential to international sales negotiations. This course will introduce you to the international sales negotiation process, outline the importance of pre-negotiation research, and explain why concession planning is essential to international sales negotiations. This course will then explore how to conduct pre-negotiations research by assessing the factors influencing buying decisions, determining the reason for a buyer’s interest in your product, and analyzing competitors to inform your concession planning. Finally, the course will outline how culture influences international sales negotiation, and why all of the above are key components when constructing an international sales negotiation plan.

Overview Interest Rate Options are an essential part of the derivatives marketplace. This 3-Day programme will equip you to use, price, manage and evaluate interest rate options and related instruments. The course starts with a detailed review of option theory, from a practitioner’s viewpoint. Then we cover the key products in the rates world (caps/floors, swaptions, Bermudans) and their applications, plus the related products (such as CMS) that contain significant ’hidden’ optionality. We finish with a detailed look at the volatility surface in rates, and how we model vol dynamics (including a detailed examination of SABR). The programme includes extensive practical exercises using Excel spreadsheets for valuation and risk-management, which participants can take away for immediate implementation Who the course is for This course is designed for anyone who wishes to be able to price, use, market, manage or evaluate interest rate derivatives. Interest-rate sales / traders / structurers / quants IT Bank Treasury ALM Central Bank and Government Treasury Funding managers Insurance Investment managers Fixed Income portfolio managers 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

SAP Courses Overview SAP is one of the largest ERP(Enterprise Resource Planning) software in the world. It provides end to end solution for Financials, Manufacturing, Logistics, Distributions etc. SAP applications, built around their latest R/3 system, provide the capability to manage financial, asset, and cost accounting, production operations and materials, personnel, plants, and archived documents. The R/3 system runs on a number of platforms including Windows and MAC and uses the client/server model. SAP Business Cases/ Live Project Our SAP training courses are designed in a way which gives the students maximum exposure of real-life scenario through no of business cases and guidance on implementation by professional SAP Consultants. Certificate of Attendance- You receive a certificate once you finish the course from Osborne Training,  SAP Certification During the training, you get access to the SAP sandbox which continues even after training finishes until the completion of the Internship. You can also do an external exam to receive certification from SAP (Optional), for details on exam booking you may visit the SAP website. SAP Training Modules Available Financial & Controlling (FICO) High-Performance Analytic Appliance (HANA) Supply Relationship Management (SRM) Customer Relationship Management (CRM) Free SAP Access Free SAP Sandbox Access provided for 6 months so that you can practice even after your SAP training course.

Overview Understand the structure and mechanics of Target Redemption Notes (TARNs), autocallables, accumulators, and faders. Who the course is for CEOs, CFOs, COOs with responsibility for Strategic Management Investment bankers Real estate consultants Management consultants Private Equity investors Financial analysts Institutional Funds and Portfolio Managers Retail investors Course Content To learn more about the day by day course content please click here. To learn more about schedule, pricing & delivery options speak to a course specialist now

Course Overview: It is important that everybody who works in the care environment recognises the signs of potential eating and drinking difficulties and is able to support service users to eat and drink. This course combines both theory and practical sessions to equip those who work in care settings with this knowledge.   Course Aims: Define Dysphagia Identify the main parts of the human mouth and pharynx Recognise signs and symptoms of aspiration Know when to refer a service user Recognise good positions at mealtimes Experience food textures and being fed in different positions Management responsibilities

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm