Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production
Course Overview The Financial Engineering Courses – 8 Courses Bundle is a comprehensive training package designed to equip learners with a robust understanding of the mathematical, statistical, and analytical foundations of modern finance. This bundle merges core financial theories with quantitative models to support strategic financial decision-making. Learners will explore concepts ranging from derivatives pricing and risk modelling to portfolio optimisation and stochastic processes, gaining a solid foundation in the methodologies used in financial institutions and investment firms. By the end of the course, participants will be able to interpret financial models, assess risk frameworks, and contribute effectively to quantitative analysis roles. This course is particularly valuable for those aiming to strengthen their understanding of finance through an analytical lens, aligning with roles in investment banking, financial consultancy, or quantitative research. Course Description This course bundle offers eight interconnected modules covering a wide array of financial engineering topics. Learners will be introduced to financial mathematics, stochastic calculus, fixed income securities, options pricing, quantitative risk management, and algorithmic trading strategies. The programme provides an in-depth look into the mechanics of financial markets and the computational tools that underpin asset valuation and portfolio structuring. Through clear instruction and structured content, learners will build confidence in applying quantitative techniques and economic theory to real-world financial challenges. Emphasis is placed on theoretical rigour, analytical accuracy, and strategic application. Ideal for learners with a background or interest in finance, mathematics, or economics, this course supports a deeper understanding of financial markets and prepares participants for roles that require data-driven financial modelling and risk assessment skills. Course Modules Module 01: Introduction to Financial Engineering Module 02: Financial Mathematics and Modelling Techniques Module 03: Fixed Income Securities and Yield Curves Module 04: Derivatives and Options Pricing Theory Module 05: Quantitative Risk Management Fundamentals Module 06: Stochastic Processes in Finance Module 07: Portfolio Theory and Investment Analysis Module 08: Algorithmic and Computational Finance (See full curriculum) Bundle Instructions Access all eight courses through a single enrolment. Courses are self-paced and available online 24/7. Learners receive a certificate for each completed module. Support is available throughout the learning journey. Who is this course for? Individuals seeking to build a strong foundation in quantitative finance. Professionals aiming to advance their knowledge in financial modelling and analysis. Beginners with an interest in finance, mathematics, or data-driven investment theory. Graduates or career changers targeting roles in banking, analytics, or asset management. Career Path Quantitative Analyst Financial Risk Manager Investment Banking Analyst Asset or Portfolio Manager Financial Modelling Consultant Data Analyst in Financial Services Derivatives Pricing Specialist Economic Research Associate
Learn charity-specific accounting, business analysis, negotiation, and financial strategy skills in one focused online training bundle. Charity accounting doesn’t mean fuzzy maths and vague budgets—it’s about precise decisions with people in mind. This mini bundle gets to the heart of it, with targeted courses in accounting, business analysis, financial analysis, business management, and negotiation skills. It’s tailored for those working in or supporting financial functions within charitable organisations. Whether you’re trying to make spreadsheets make sense, or you’ve ever been in a funding meeting that felt more like a quiz show, these courses give you the clarity and knowledge to navigate charity finance without the grey areas. It’s built for online study, no suit required, and helps you approach funding, strategy, and board discussions with more confidence (and fewer spreadsheets that mysteriously vanish). Learning Outcomes: Understand accounting methods used in not-for-profit organisations. Apply analytical thinking to budgeting and financial decision-making. Interpret business data to support strategic charity functions. Examine financial trends for reporting and forecast purposes. Communicate clearly in negotiation and budgeting discussions. Explore business management structures within charity contexts. Who Is This Course For: Charity finance officers needing sharper accounting skills. Fund managers working with budgeting and forecasts. Analysts supporting charity performance reporting. Trustees involved in financial decision-making processes. Admins working in charity budgeting or strategy roles. Professionals in grant-based reporting and cost tracking. Business managers in not-for-profit organisations. Finance assistants needing charity sector knowledge. Career Path (UK Average Salaries): Charity Finance Officer – £33,000 per year Business Analyst (Charity) – £38,000 per year Financial Analyst (Non-profit) – £37,000 per year Charity Accountant – £36,000 per year Budget Officer – £32,000 per year Fundraising and Finance Executive – £30,500 per year
Develop a deep understanding of electricity pricing and marginal cost analysis with EnergyEdge's virtual instructor-led training course. Enroll now for a rewarding learning journey!
Confused by self assessment or VAT? Learn to handle tax returns, accounting, and reports online with this detailed training bundle. 🔹 Overview: The Self Assessment Tax Return Mini Bundle takes a focused look at the structure and reporting involved in personal tax declarations. You’ll study the principles behind tax returns, VAT rules, and how to organise everything through accounting and data visualisation software—without ever printing another spreadsheet. The courses in this bundle are built for individuals who want to make sense of numbers and deadlines, with added emphasis on financial analysis and digital reporting. From VAT calculation to Power BI charts that actually make sense, this bundle aims to turn tax confusion into organised clarity—one module at a time. 🔹 Learning Outcomes: Understand how to complete a self assessment tax return Analyse VAT data for personal and freelance tax planning Use Power BI to generate useful financial tax dashboards Apply accounting methods to individual tax records Gain financial insights through structured data interpretation Explore UK tax structure from income to VAT components 🔹 Who is this Course For: Individuals required to submit a self assessment each year Freelancers dealing with VAT and income tax submissions New accountants interested in personal tax reporting Business owners learning about tax return obligations Students studying tax reporting, VAT and analytics Budget-conscious individuals aiming to reduce tax errors Data-savvy users learning Power BI for tax analysis People managing their finances independently with structure 🔹 Career Path: VAT Analyst – £28,000–£36,000 per year Self Assessment Support Advisor – £24,000–£32,000 per year Finance Officer (Tax Focus) – £30,000–£40,000 per year Tax and VAT Assistant – £25,000–£34,000 per year BI Reporting Analyst (Finance) – £32,000–£45,000 per year Accounting Associate – £23,000–£30,000 per year
Handle personal tax returns with confidence. Learn accounting, law, Power BI, and more—all online and on your schedule. 🔹 Overview: Personal tax can often feel like a yearly visit to a confusing maze. This Personal Tax Return Mini Bundle aims to straighten the path, offering key lessons on income tax, accounting, and how the law fits in—no Latin required. Whether you’re managing your own return or just trying not to cry during tax season, this bundle teaches you the essentials in a smart, structured way. With the added flair of Power BI and a dose of business law, you’ll be able to interpret, calculate, and report your tax matters like a pro (minus the stress headache). 🔹 Learning Outcomes: Understand personal income tax processes and key components Analyse personal financial data using structured accounting methods Interpret tax implications through a legal lens Use Power BI to visualise and explore financial return data Apply business law basics to tax-related financial decisions Improve accuracy in self-submitted personal tax return cases 🔹 Who is this Course For: Individuals handling their own personal tax each year Freelancers needing structured tax and finance understanding Business owners filing personal and business returns separately Students learning financial reporting and tax law basics Aspiring accountants focused on personal tax services Data enthusiasts exploring Power BI for financial reporting People wanting legal clarity in financial planning Professionals revisiting personal tax procedures and updates 🔹 Career Path: Personal Tax Advisor – £28,000–£40,000 per year Accounting Assistant – £23,000–£29,000 per year Finance Analyst – £30,000–£42,000 per year Power BI Finance Analyst – £32,000–£44,000 per year Business Law Assistant – £26,000–£35,000 per year Tax Return Support Officer – £25,000–£33,000 per year
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ð Unlock the Secrets of Successful Stocks Trading! Join Our Stocks Trading Text Course Today! ð Are you ready to embark on a thrilling journey into the world of stocks trading? Welcome to our Stocks Trading Text Course, where you'll gain the knowledge and skills needed to navigate the dynamic landscape of the stock market with confidence and precision. Whether you're a novice looking to dip your toes into the exciting world of trading or an experienced investor seeking to sharpen your strategies, this course is your gateway to financial freedom and success! ð Benefits of Our Stocks Trading Text Course: Comprehensive Learning: Dive deep into the fundamentals of stocks trading, covering essential topics such as market analysis, investment strategies, risk management, and more. Practical Insights: Gain practical insights and real-world strategies from seasoned traders and industry experts, allowing you to make informed decisions and maximize your returns. Flexible Learning: Access course materials anytime, anywhere, at your own pace. Whether you're a busy professional or a full-time student, our text-based format allows you to learn on your schedule. Interactive Exercises: Engage in interactive exercises and case studies designed to reinforce key concepts and enhance your understanding of stocks trading principles. Community Support: Connect with like-minded individuals and industry professionals through our online community forums, where you can exchange ideas, share experiences, and network with fellow traders. Lifetime Access: Enjoy lifetime access to course materials and updates, ensuring that you stay up-to-date with the latest trends and developments in the world of stocks trading. ð©âð¼ Who is this for? Aspiring Traders: Individuals who are new to stocks trading and eager to learn the fundamentals of the market. Experienced Investors: Seasoned investors looking to refine their trading strategies, explore new opportunities, and stay ahead of market trends. Financial Professionals: Professionals in finance-related fields seeking to expand their knowledge and expertise in stocks trading to better serve their clients and advance their careers. Entrepreneurs: Business owners and entrepreneurs interested in diversifying their investment portfolio and exploring alternative revenue streams through stocks trading. ð¼ Career Path: Upon completion of our Stocks Trading Text Course, you'll be equipped with the skills and knowledge needed to pursue various career opportunities in the financial industry, including: Stock Trader: Become a professional stock trader, managing your own portfolio or trading on behalf of clients to generate profits in the stock market. Financial Analyst: Use your expertise in stocks trading to analyze market trends, evaluate investment opportunities, and provide strategic recommendations to clients or employers. Investment Advisor: Offer personalized investment advice and guidance to individuals and businesses, helping them make informed decisions to achieve their financial goals. Portfolio Manager: Manage investment portfolios for individuals or institutional clients, overseeing asset allocation, risk management, and performance evaluation to optimize returns. Risk Manager: Specialize in risk management within financial institutions or corporations, identifying and mitigating risks associated with stocks trading activities to protect assets and ensure financial stability. Educator/Consultant: Share your knowledge and expertise in stocks trading by becoming an educator, consultant, or freelance writer, helping others learn and navigate the complexities of the stock market. ð FAQs (Frequently Asked Questions) about Stocks Trading: Q: Is stocks trading risky? A: Like any investment activity, stocks trading carries inherent risks. However, with proper education, research, and risk management strategies, investors can mitigate risks and maximize potential returns. Q: Do I need a large amount of capital to start trading stocks? A: While having sufficient capital can provide more trading opportunities, it's possible to start trading stocks with a small investment. Many online brokers offer low-cost trading options and allow investors to start with minimal funds. Q: How much time do I need to dedicate to stocks trading? A: The amount of time required for stocks trading depends on your trading style, investment goals, and level of commitment. Some traders actively monitor the market and execute trades daily, while others take a more passive approach and trade less frequently. Q: Can I trade stocks part-time while working a full-time job? A: Yes, many individuals successfully trade stocks part-time while balancing other professional or personal commitments. With the flexibility of online trading platforms and the ability to set your own schedule, it's possible to engage in stocks trading as a supplementary source of income. Q: Are there any prerequisites for enrolling in the Stocks Trading Text Course? A: Our course is designed to accommodate learners of all levels, from beginners to experienced investors. No prior experience in stocks trading is required, but a basic understanding of financial markets and investment principles may be beneficial. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successful completion of the Stocks Trading Text Course, you will receive a certificate of completion, recognizing your achievement and demonstrating your proficiency in stocks trading principles. ð Join Our Stocks Trading Text Course Today and Start Your Journey to Financial Success! Don't miss out on this opportunity to unlock the secrets of successful stocks trading and take control of your financial future. Enroll now and embark on a transformative journey towards financial freedom and prosperity! ðð°ð Course Curriculum Module 1 Introduction to Stocks Trading Introduction to Stocks Trading 00:00 Module 2 Trading Strategies and Execution Trading Strategies and Execution 00:00 Module 3 Risk Management and Psychology in Trading Risk Management and Psychology in Trading 00:00 Module 4 Advanced Trading Techniques and Market Adaptation Advanced Trading Techniques and Market Adaptation 00:00 Module 5 Technical Indicators and Chart Patterns Technical Indicators and Chart Patterns 00:00 Module 6 Market News and Fundamental Events Market News and Fundamental Events 00:00