4933 Model courses delivered Online

The PowerBI Formulas course delves into the intricacies of Power Query and Power Pivot in Power BI, focusing on various techniques to enhance data analysis and visualization. Through a series of modules, participants will learn how to effectively use Power Query and Power Pivot to transform, manipulate, and model data for creating insightful reports and dashboards. Learning Outcomes: Master the fundamentals of Power Query and Power Pivot in Power BI. Understand data transformation techniques using Power Query. Explore advanced data modeling with Power Pivot. Learn to create calculated columns and measures. Gain proficiency in using DAX (Data Analysis Expressions) formulas. Apply Power Query and Power Pivot to real-world data scenarios. Utilize data relationships and hierarchies for effective data modeling. Create dynamic visualizations and reports using the transformed data. Why buy this PowerBI Formulas? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the PowerBI Formulas there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? Business analysts and data analysts seeking to enhance their Power BI skills. Data professionals looking to leverage Power Query and Power Pivot for data analysis. Professionals working with data visualization and reporting. Individuals interested in learning advanced data transformation and modeling techniques. Prerequisites This PowerBI Formulas does not require you to have any prior qualifications or experience. You can just enrol and start learning.This PowerBI Formulas was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: Analyze and visualize data to extract meaningful insights. Business Intelligence Analyst: Transform raw data into actionable business insights. Data Scientist: Apply data manipulation and modeling techniques for predictions. Reporting Specialist: Create engaging and informative reports and dashboards. Business Analyst: Use data-driven insights to inform decision-making processes. Course Curriculum PowerBI Formulas power pivot power query - 1 00:01:00 power pivot power query - 2 00:02:00 power pivot power query - 3 00:06:00 power pivot power query - 4 00:07:00 power pivot power query - 5 00:02:00 power pivot power query - 6 00:05:00 power pivot power query - 7 00:05:00 power pivot power query - 8 00:04:00 power pivot power query - 9 00:03:00 power pivot power query - 10 00:02:00 power pivot power query - 11 00:04:00 power pivot power query - 12 00:08:00 power pivot power query - 13 00:04:00 power pivot power query - 14 00:03:00 power pivot power query - 15 00:13:00 power pivot power query - 16 00:03:00 power pivot power query - 17 00:13:00 Assignment Assignment - PowerBI Formulas 00:00:00

Master 75+ Excel tips and techniques and become a certified POWER USER, with unique hands-on demos and real-world projects to help you wrangle, analyze, and visualize your data in Excel.

24-Hour Flash Sale! Prices Reduced Like Never Before!! Ever wonder how successful UK businesses stay on top of their finances? In the UK businesses using accounting software like Xero grow 32% faster than those using manual methods. If you're looking to boost your career in accounting or want to gain the skills to manage your own business finances effectively, this comprehensive Xero Accounting & Bookkeeping bundle is for you! This Xero Accounting & Bookkeeping, Payroll bundle equips you with the knowledge and practical skills needed to thrive in the UK financial landscape. Learn how to use Xero, the leading accounting software, to manage Invoices, Expenses, Payroll, and Taxes with ease. Gain a deep understanding of VAT (Value Added Tax) and Depreciation Accounting, and master financial analysis techniques to generate insightful reports for informed decision-making. This Xero Accounting & Bookkeeping, Payroll, VAT & Tax Accounting Bundle Contains 4 of Our Premium Courses for One Discounted Price: Course 01: Xero Accounting - Complete Training Course 02: Payroll Administrator Training Course 03: Introduction to VAT Online Training Course 04: Microsoft Excel Training: Depreciation Accounting Learning Outcomes of Xero Accounting & Bookkeeping Master Xero accounting software for efficient financial management. Accurately process payroll and comply with UK tax regulations. Gain in-depth understanding of VAT calculations and reporting. Utilise Excel for depreciation accounting and financial analysis. Analyse financial reports to generate valuable business insights. Develop a comprehensive understanding of UK tax accounting principles. Investing in this Xero Accounting bundle is an investment in your future. Enrol today in Xero Accounting & Bookkeeping and unlock a brighter financial future for your UK business! Why Prefer this Course? Get a Free CPD Accredited Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! Course Curriculum Course 01: Xero Accounting - Complete Training Module 01: Xero Accounting Coursebook Module 02: Getting Started Module 03: Setting Up Of The System Module 04: Customers And Suppliers Module 05: Fixed Assets Module 06: Bank Payments And Receipts Module 07: Petty Cash Module 08: Bank Reconciliation Module 09: Business Credit Card Account Module 10: Aged Reports Module 11: Payroll And Journals Module 12: Vat Return Module 13: Correction Of Error Course 02: Payroll Administrator Training Module 01: Payroll System In The UK Module 02: Payroll Basics Module 03: Company Settings Module 04: Legislation Settings Module 05: Pension Scheme Basics Module 06: Pay Elements Module 07: The Processing Date Module 08: Adding Existing Employees Module 09: Adding New Employees Module 10: Payroll Processing Basics Course 03: Introduction to VAT Online Training Module 01: Understanding VAT Module 02: VAT Terminology and Calculation Module 03: VAT Taxable Persons Module 04: VAT Registration Module 05: VAT Rates Module 06: Invoicing and Records Module 07: VAT Application in Goods, Services and Vehicles Module 08: Supply Module 09: The VAT Return Module 10: Tips on VAT Compliance Course 04: Microsoft Excel Training: Depreciation Accounting Module 01: Introduction Module 02: Depreciation Amortisation And Related Terms Module 03: Various Methods Of Depreciation And Depreciation Accounting Module 04: Depreciation And Taxation Module 05: Master Depreciation Model Module 06: Conclusion Assessment Process Once you have completed all the modules on the course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 40 CPD hours / points Accredited by CPD Quality Standards Who is this course for? nyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Accountants Finance managers Bookkeepers Business owners Finance students Career upskillers This Xero accounting software training program has been created to develop your Xero accounting skills and the overall understanding of the software. It has no association with Xero Limited and operates independently. Please note, that the certificate you receive upon completion is CPD accredited and not an official Xero certification. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Xero Certified Accountant - £25,000 to £50,000 Payroll Manager - £30,000 to £45,000 Sage 50 Accountant - £22,000 to £40,000 Financial Analyst - £30,000 to £60,000 Bookkeeper - £20,000 to £35,000 Data Analyst - £25,000 to £55,000 Certificates CPD Accredited Digital Certificate Digital certificate - £12.99 Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - £29 If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

The Sales Accelerator programme is a fresh approach to improving business development productivity. It focuses on identifying and using a series of business productivity metrics in order to build a clear action plan for improving sales results - typically within 90 days. The metrics are grouped under three headings: The basic principle is that a small improvement in each area can lead to a significant increase in sales results and productivity. And the object of the programme is to show how best to achieve that. The programme therefore looks at each of these three areas in turn, spending a day on each. Suitable for any and all businesses and all levels of experience and expertise, this is a remarkably practical and hands-on programme. During the workshop, participants discuss, review and apply many proven sales and marketing techniques and personal selling ideas. The goal is to generate and commit to changes and actions that can lead to a 10-30% increase in the next three to six months. There's also a consultancy option, rather than the workshop-based programme. See below for details. Day one - Activity Key objective This first module introduces the Sales Accelerator model. The goal here is to show participants how to increase their pro-active activity levels by around 10%. It covers all aspects of creating new business opportunities, from existing customers and non-customers alike, and is linked to personal activity improvement goals. Main elements Improve the productivity, accuracy and effectiveness of your business approach by using new and unique models and techniques. Different methods of creating and generating new business opportunities in the short, medium and long term. This includes sourcing new business, up-selling, cross-selling, warm calling and gaining referrals. Using organised persistence to track and build new customer revenue. Managing your sales time effectively. Key learning points Sales productivity - understand the dynamics of increasing the combination of activity levels, deal value and conversion rate of proposals/quotations to orders and implement an improvement plan. Sales goal setting: setting business development objectives for quantity and quality - plus tips and tricks of top performers. Maintain a peak activity level, on a consistent basis using 'organised persistence' and structured business development tracking methodology. How to prioritise opportunities and manage your time when sourcing new business. Identify potential new customers - and particularly the decision-makers and influencers - with greater accuracy. Make outbound business or appointment calls with improved confidence, control and results. Day two - Value Key objective To be able to better anticipate, identify, create, and develop business opportunities using a customer / client-focused communication-based business model and consultative skills. Main elements How to develop sales more effectively from new and existing customers; and managing the first appointment with a new customer. Use structured and assertive drawing-out skills to identify, develop and formalise business opportunities and to gain commitment. How to better position your company and your products and services against your main competitors. Create and deliver persuasive business messages based on specific need areas, criteria and value. Key learning points Advanced consultative selling - use a variety of structured and advanced questioning techniques to confidently and efficiently uncover opportunities, need areas and business criteria - confidently and efficiently. Involve the customer/client at all times, and to a far greater degree, and keep better control of business development process. Value message - differentiate your solutions clearly and accurately with customer/client-matched value statements. Presenting the right USPs, features and benefits and making them relevant and real to the customer. Qualification and reading buying signals. Day three (held around four weeks after the first module) - Conversion Key objective This module looks at how to improve the final qualification, progression and conversion of opportunities in your sales pipeline. Also includes price negotiation, overcoming objections and obstacles to gaining agreement. The module begins with a learning review, sharing participants' experiences over the last four weeks in applying the new techniques and skills acquired during the first two modules. This is an opportunity to revisit particularly challenging areas as well as to share and celebrate successes. Main elements Structuring and preparing for negotiating a deal and knowing when and how to move into the 'end-game' mode. Anticipate and answer customer objections and questions more confidently. Build more credibility and proof into your business process to reduce 'buyer's remorse' and speed-up decision-making. Being more assertive and developing better instincts and strategic thinking in progressing quotations and proposals. Key learning points Smart ways to position price, emphasise value and be a strong player without being the cheapest. Becoming more assertive in closing deals, and the importance of organised follow-up on the telephone. Qualify pipeline opportunities with more accuracy, using a proven check-list. Use an 'option generator' to simplify complex proposals, increase business value and close business faster. Writing more effective sales proposal documents and quotations. How best to draw-out, understand, isolate and answer customer objections, negotiate points and concerns. Practical methods of asking for agreement and closing a sale

Dive into the fascinating world of deep learning with this expertly crafted course designed to unravel the mysteries of neural networks using R. This course guides you through the core principles of neural networks, illustrating how layers of algorithms mimic the human brain’s ability to identify patterns and make decisions. Whether you’re a data enthusiast or a professional seeking to enhance your analytical toolkit, this course offers a clear and engaging path to understanding deep learning concepts through the power of R programming. With a sharp focus on theory and application, you will explore how to build, train, and optimise neural networks effectively, while leveraging R’s rich ecosystem of libraries and tools. The course content is designed to maintain a perfect balance between depth and clarity, making complex topics accessible without oversimplification. By the end, you will be equipped with a strong conceptual foundation and the confidence to approach deep learning projects with R, all through an engaging online format that fits seamlessly into your schedule. Learning Outcomes: Understanding of single-layer and multi-layer neural networks Knowledge of R programming for neural network applications Implementation of neural networks in real-world projects Familiarity with agriculture and war datasets for neural network modelling Ability to evaluate neural network model accuracy and performance The Deep Learning Neural Network with R course is designed to provide learners with a comprehensive understanding of how to build and evaluate neural networks using R programming language. The course includes four modules that cover single-layer and multi-layer neural networks applied to agriculture and war datasets. Each module contains practical hands-on projects that allow learners to gain real-world experience in neural network development and evaluation. By the end of the course, learners will have a solid understanding of neural network concepts, R programming language, and practical experience with real-world datasets. Deep Learning Neural Network with R Course Curriculum Section 01: Single Layer Neural Networks Project - Agriculture (Part - 1) Section 02: Single Layer Neural Networks Project - Agriculture (Part - 2) Section 03: Multi-Layer Neural Networks Project - Deaths in wars (Part - 1) Section 04: Multi-Layer Neural Networks Project - Deaths in wars (Part - 2) How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts and scientists seeking to expand their knowledge of neural networks and R programming Professionals interested in applying neural networks to agriculture or war datasets Students and researchers interested in deep learning and machine learning techniques Anyone looking to enhance their skills in data analysis and modelling using neural networks and R programming Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Data Analyst Machine Learning Engineer Data Scientist Artificial Intelligence Developer Research Scientist Entry-level positions such as Data Analysts can expect to earn between £25,000 to £35,000 per annum, whereas senior-level positions such as Machine Learning Engineers can earn upwards of £70,000 per annum. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

This course will help you get started with automation testing of web applications. You will cover the basic and advanced topics of Selenium and Python, along with unit tests, pytest, cross-browser testing, logging infrastructure, automation framework design, Jenkins, and a lot more.

Duration 2 Days 12 CPD hours This course is intended for This class is primarily intended for the following participants: Technical employees using GCP, including customer companies, partners and system integrators deployment engineers, cloud architects, cloud administrators, system engineers , and SysOps/DevOps engineers. Individuals using GCP to create, integrate, or modernize solutions using secure, scalable microservices architectures in hybrid environments. Overview Connect and manage Anthos GKE clusters from GCP Console whether clusters are part of Anthos on Google Cloud or Anthos deployed on VMware. Understand how service mesh proxies are installed, configured and managed. Configure centralized logging, monitoring, tracing, and service visualizations wherever the Anthos GKE clusters are hosted. Understand and configure fine-grained traffic management. Use service mesh security features for service-service authentication, user authentication, and policy-based service authorization. Install a multi-service application spanning multiple clusters in a hybrid environment. Understand how services communicate across clusters. Migrate services between clusters. Install Anthos Config Management, use it to enforce policies, and explain how it can be used across multiple clusters. This two-day instructor-led course prepares students to modernize, manage, and observe their applications using Kubernetes whether the application is deployed on-premises or on Google Cloud Platform (GCP). Through presentations, and hands-on labs, participants explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh and Anthos Config Management capabilities that enable operators to work with modern applications even when split among multiple clusters hosted by multiple providers, or on-premises. Anthos Overview Describe challenges of hybrid cloud Discuss modern solutions Describe the Anthos Technology Stack Managing Hybrid Clusters using Kubernetes Engine Understand Anthos GKE hybrid environments, with Admin and User clusters Register and authenticate remote Anthos GKE clusters in GKE Hub View and manage registered clusters, in cloud and on-premises, using GKE Hub View workloads in all clusters from GKE Hub Lab: Managing Hybrid Clusters using Kubernetes Engine Introduction to Service Mesh Understand service mesh, and problems it solves Understand Istio architecture and components Explain Istio on GKE add on and it's lifecycle, vs OSS Istio Understand request network traffic flow in a service mesh Create a GKE cluster, with a service mesh Configure a multi-service application with service mesh Enable external access using an ingress gateway Explain the multi-service example applications: Hipster Shop, and Bookinfo Lab: Installing Open Source Istio on Kubernetes Engine Lab: Installing the Istio on GKE Add-On with Kubernetes Engine Observing Services using Service Mesh Adapters Understand service mesh flexible adapter model Understand service mesh telemetry processing Explain Stackdriver configurations for logging and monitoring Compare telemetry defaults for cloud and on-premises environments Configure and view custom metrics using service mesh View cluster and service metrics with pre-configured dashboards Trace microservice calls with timing data using service mesh adapters Visualize and discover service attributes with service mesh Lab: Telemetry and Observability with Istio Managing Traffic Routing with Service Mesh Understand the service mesh abstract model for traffic management Understand service mesh service discovery and load balancing Review and compare traffic management use cases and configurations Understand ingress configuration using service mesh Visualize traffic routing with live generated requests Configure a service mesh gateway to allow access to services from outside the mesh Apply virtual services and destination rules for version-specific routing Route traffic based on application-layer configuration Shift traffic from one service version to another, with fine-grained control, like a canary deployment Lab: Managing Traffic Routing with Istio and Envoy Managing Policies and Security with Service Mesh Understand authentication and authorization in service mesh Explain mTLS flow for service to service communication Adopt mutual TLS authentication across the service mesh incrementally Enable end-user authentication for the frontend service Use service mesh access control policies to secure access to the frontend service Lab: Managing Policies and Security with Service Mesh Managing Policies using Anthos Config Management Understand the challenge of managing resources across multiple clusters Understand how a Git repository is as a configuration source of truth Explain the Anthos Config Management components, and object lifecycle Install and configure Anthos Config Management, operators, tools, and related Git repository Verify cluster configuration compliance and drift management Update workload configuration using repo changes Lab: Managing Policies in Kubernetes Engine using Anthos Config Configuring Anthos GKE for Multi-Cluster Operation Understand how multiple clusters work together using DNS, root CA, and service discovery Explain service mesh control-plane architectures for multi-cluster Configure a multi-service application using service mesh across multiple clusters with multiple control-planes Configure a multi-service application using service mesh across multiple clusters with a shared control-plane Configure service naming/discovery between clusters Review ServiceEntries for cross-cluster service discovery Migrate workload from a remote cluster to an Anthos GKE cluster Lab: Configuring GKE for Multi-Cluster Operation with Istio Lab: Configuring GKE for Shared Control Plane Multi-Cluster Operation

Overview This is particularly important for PPP projects where long-term commitments are made now based on bankability, value for money and risk allocation. During the course, participants will gain knowledge and skills on the frameworks, tools, and methodologies necessary to build quantitative models for financial decision-making in order to improve the financial viability and bankability of PPP projects. Participants will master modelling frameworks on capital budgeting, risk measurement, regression analysis and Monte Carlo Simulation among others.

Overview This comprehensive course on Finance Assets will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Finance Assets comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Finance Assets. It is available to all students, of all academic backgrounds. Requirements Our Finance Assets is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 5 sections • 45 lectures • 02:02:00 total length •Finance and Free Market Economies: 00:02:00 •Principles of Finance - Theory (Part 1): 00:04:00 •Principles of Finance - Theory (Part 2): 00:02:00 •Discounted Cash Flow (DCF): 00:01:00 •Interest Rates, Bonds and Annuities: 00:03:00 •Bonds: 00:03:00 •Bond Duration: 00:02:00 •Capital Market Theory - Risk & Return: Efficient Market Hypothesis: 00:03:00 •Security Market Line - Risk & Return: 00:04:00 •Security Market Line: 00:02:00 •Capital Asset Pricing Model: 00:01:00 •Portfolio Theory: 00:03:00 •Corporate Finance: 00:03:00 •Optimal Capital Structure - Debt vs. Equity: 00:03:00 •Interest Tax Shield / Cost of Financial Distress: 00:04:00 •Financial Leverage and Weighted Average Cost of Capital (WACC): 00:02:00 •Degree of Financial Leverage (DFL): 00:05:00 •Arbitrage Pricing Theory (APT): 00:01:00 •Capital Budgeting Methods / Techniques: 00:02:00 •Internal Rate of Return Method (IRR): 00:03:00 •Understanding Financial Statements / Financial Ratio Analysis: 00:06:00 •Company Stock Valuations: 00:02:00 •Valuation (Enterprises / Companies / Project): 00:06:00 •DCF Method - Company Enterprise Value: 00:02:00 •Calculation of the Free Cash Flow: 00:02:00 •Common Stock Valuation: 00:02:00 •Derivatives - Options and Future Contracts: 00:04:00 •Future Contracts: 00:04:00 •Call Option: 00:05:00 •SWAPS: 00:02:00 •Options Valuation and Pricing - Numerical and Black-Scholes: 00:02:00 •Cost, Price, Rates and Dividends: 00:02:00 •Analysis for Trading Purposes - Technical Analysis: 00:03:00 •Types of Trends: 00:02:00 •Support and Resistance / Volume: 00:02:00 •Moving Averages: 00:03:00 •Moving Average Convergence: 00:01:00 •Fundamental vs. Technical Analysis: 00:02:00 •Financial Forecasting: 00:02:00 •Regression, Correlation and Covariance: 00:02:00 •Time Series Analysis- Congregation and Random Walk: 00:05:00 •Errors in Statistical Forecasts: 00:03:00 •Econometrics Tools - Seasonality, Smoothing and Errors: 00:02:00 •Smoothing Techniques: 00:01:00 •Qualitative Methods - Survey, Research and Delphi: 00:02:00

Overview This comprehensive course on Finance Principles will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Finance Principles comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Finance Principles. It is available to all students, of all academic backgrounds. Requirements Our Finance Principles is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 6 sections • 46 lectures • 02:02:00 total length •Finance and Free Market Economies: 00:02:00 •Principles of Finance - Theory (Part 1): 00:04:00 •Principles of Finance - Theory (Part 2): 00:02:00 •Discounted Cash Flow (DCF): 00:01:00 •Interest Rates, Bonds and Annuities: 00:03:00 •Bonds: 00:03:00 •Bond Duration: 00:02:00 •Capital Market Theory - Risk & Return: Efficient Market Hypothesis: 00:03:00 •Security Market Line - Risk & Return: 00:04:00 •Security Market Line: 00:02:00 •Capital Asset Pricing Model: 00:01:00 •Portfolio Theory: 00:03:00 •Corporate Finance: 00:03:00 •Optimal Capital Structure - Debt vs. Equity: 00:03:00 •Interest Tax Shield / Cost of Financial Distress: 00:04:00 •Financial Leverage and Weighted Average Cost of Capital (WACC): 00:02:00 •Degree of Financial Leverage (DFL): 00:05:00 •Arbitrage Pricing Theory (APT): 00:01:00 •Capital Budgeting Methods / Techniques: 00:02:00 •Internal Rate of Return Method (IRR): 00:03:00 •Understanding Financial Statements / Financial Ratio Analysis: 00:06:00 •Company Stock Valuations: 00:02:00 •Valuation (Enterprises / Companies / Project): 00:06:00 •DCF Method - Company Enterprise Value: 00:02:00 •Calculation of the Free Cash Flow: 00:02:00 •Common Stock Valuation: 00:02:00 •Derivatives - Options and Future Contracts: 00:04:00 •Future Contracts: 00:04:00 •Call Option: 00:05:00 •SWAPS: 00:02:00 •Options Valuation and Pricing - Numerical and Black-Scholes: 00:02:00 •Cost, Price, Rates and Dividends: 00:02:00 •Analysis for Trading Purposes - Technical Analysis: 00:03:00 •Types of Trends: 00:02:00 •Support and Resistance / Volume: 00:02:00 •Moving Averages: 00:03:00 •Moving Average Convergence: 00:01:00 •Fundamental vs. Technical Analysis: 00:02:00 •Financial Forecasting: 00:02:00 •Regression, Correlation and Covariance: 00:02:00 •Time Series Analysis- Congregation and Random Walk: 00:05:00 •Errors in Statistical Forecasts: 00:03:00 •Econometrics Tools - Seasonality, Smoothing and Errors: 00:02:00 •Smoothing Techniques: 00:01:00 •Qualitative Methods - Survey, Research and Delphi: 00:02:00 •Assignment - Finance Principles: 00:00:00