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Enrol on the now and start learning instantly! What You Get With The Business Intelligence Analyst Course Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Business Intelligence Analyst Course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Module-1: An Introduction to Business Intelligence An Introduction to Business Intelligence 00:46:00 Module-2: Real-time Business Intelligence Real-time Business Intelligence 00:35:00 Module-3: Fundamentals of Statistics and Data Science Fundamentals of Statistics and Data Science 00:50:00 Module-4: Fundamentals of SQL Fundamentals of SQL 00:40:00 Module-5: Database Management Essentials Database Management Essentials 00:50:00 Module-6: Data Warehouse Concepts Data Warehouse Concepts 00:38:00 Module-7: Data Visualisation in Business Intelligence Data Visualisation in Business Intelligence 00:35:00 Module-8: Basics of Python Basics of Python 00:27:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. 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Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who want to learn the Python programming language in preparation for using Python to develop software for a wide range of applications, such as data science, machine learning, artificial intelligence, and web development. Overview In this course, you will develop simple command-line programs in Python. You will: Set up Python and develop a simple application. Declare and perform operations on simple data types, including strings, numbers, and dates. Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets. Write conditional statements and loops. Define and use functions, classes, and modules. Manage files and directories through code. Deal with exceptions. Though Python has been in use for nearly thirty years, it has become one of the most popular languages for software development, particularly within the fields of data science, machine learning, artificial intelligence, and web development?all areas in which Python is widely used. Whether you're relatively new to programming, or have experience in other programming languages, this course will provide you with a comprehensive first exposure to the Python programming language that can provide you with a quick start in Python, or as the foundation for further learning. You will learn elements of the Python 3 language and development strategies by creating a complete program that performs a wide range of operations on a variety of data types, structures, and objects, implements program logic through conditional statements and loops, structures code for reusability through functions, classes, and modules, reads and writes files, and handles error conditions. Lesson 1: Setting Up Python and Developing a Simple Application Topic A: Set Up the Development Environment Topic B: Write Python Statements Topic C: Create a Python Application Topic D: Prevent Errors Lesson 2: Processing Simple Data Types Topic A: Process Strings and Integers Topic B: Process Decimals, Floats, and Mixed Number Types Lesson 3: Processing Data Structures Topic A: Process Ordered Data Structures Topic B: Process Unordered Data Structures Lesson 4: Writing Conditional Statements and Loops in Python Topic A: Write a Conditional Statement Topic B: Write a Loop Lesson 5: Structuring Code for Reuse Topic A: Define and Call a Function Topic B: Define and Instantiate a Class Topic C: Import and Use a Module Lesson 6: Writing Code to Process Files and Directories Topic A: Write to a Text File Topic B: Read from a Text File Topic C: Get the Contents of a Directory Topic D: Manage Files and Directories Lesson 7: Dealing with Exceptions Topic A: Handle Exceptions Topic B: Raise Exceptions
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The CAIA Association is a global professional body dedicated to creating greater alignment, transparency, and knowledge for all investors, with a specific emphasis on alternative investments. Course Overview The CAIA Association is a global professional body dedicated to creating greater alignment, transparency, and knowledge for all investors, with a specific emphasis on alternative investments. A Member-driven organization representing professionals in more than 100 countries, CAIA Association advocates for the highest ethical standards. Whether you need a deep, practical understanding of the world of alternative investments, a solid introduction, or data science skills for the future in finance, the CAIA Association offers a program for you. Why CAIA? Distinguish yourself with knowledge, expertise, and a clear career advantage – become a CAIA Charterholder. CAIA® is the globally recognized credential for professionals allocating, managing, analyzing, distributing, or regulating alternative investments. The Level II curriculum takes a top-down approach and provides Candidates with the skills and tools to conduct due diligence, monitor investments, and appropriately construct an investment portfolio. In addition, the Level II curriculum contains Emerging Topic readings; articles written by academics and practitioners designed to further inform and provoke the Candidate’s investment management process. After passing the Level II exam you are eligible, with relevant professional experience, to join the CAIA Association as a Member and receive the CAIA Charter. You will be part of an elite group of more than 13,000 professionals worldwide. Only after joining the Association, you are eligible to add the CAIA designation to your professional profiles. Who will benefit from enrolling in the CAIA program? Professionals who want to develop a deep level of knowledge and demonstrated expertise in alternative investments and their contribution to the diversified portfolio should pursue the CAIA Charter including: • Asset Allocators • Risk managers • Analysts • Portfolio managers • Traders • Consultants • Business development/marketing • Operations • Advisors Curriculum Topics: Topic 1: Emerging Topics • Decentralized Finance: On Blockchain- and Smart Contract-Based Financial Markets • Technical Guide for Limited Partners: Responsible Investing in Private Equity • Channels for Exposure to Bitcoin • Assessing Long-Term Investor Performance: Principles, Policies and Metrics • Demystifying Illiquid Assets: Expected Returns for Private Equity • An Introduction to Portfolio Rebalancing Strategies • Longevity and Liabilities: Bridging the Gap • A Short Introduction to the World of Cryptocurrencies Topic 2: Ethics, Regulation and ESG • Asset Manager Code • Recommendations and Guidance • Global Regulation • ESG and Alternative Investments • ESG Analysis and Application Topic 3: Models • Modeling Overview and Interest Rate Models • Credit Risk Models • Multi-Factor Equity Pricing Models • Asset Allocation Processes and the Mean-Variance Model • Other Asset Allocation Approaches Topic 4: Institutional Asset Owners and Investment Policies • Types of Asset Owners and the Investment Policy Statement • Foundations and the Endowment Model • Pension Fund Portfolio Management • Sovereign Wealth Funds • Family Offices and the family office Model Topic 5: Risk and Risk Management • Cases in Tail Risk • Benchmarking and Performance Attribution • Liquidity and Funding Risks • Hedging, Rebalancing, and Monitoring • Risk Measurement, Risk Management, and Risk Systems Topic 6: Methods for Alternative Investing • Valuation and Hedging Using Binomial Trees • Directional Strategies and Methods • Multivariate Empirical Methods and Performance Persistence • Relative Value Methods • Valuation Methods for Private Assets: The Case of Real Estate Topic 7: Accessing Alternative Investments • Hedge Fund Replication • Diversified Access to Hedge Funds • Access to Real Estate and Commodities • Access through Private Structures • The Risk and Performance of Private and Listed Assets Topic 8: Due Diligence and Selecting Managers • Active Management and New Investments • Selection of a Fund Manager • Investment Process Due Diligence • Operational Due Diligence • Due Diligence of Terms and Business Activities Topic 9: Volatility and Complex Strategies • Volatility as a Factor Exposure • Volatility, Correlation, and Dispersion Products and Strategies • Complexity and Structured Products • Insurance-Linked and Hybrid Securities • Complexity and the Case of Cross-Border Real Estate Investing DURATION 200 Hours WHATS INCLUDED Course Material Case Study Experienced Lecturer Refreshments Certificate
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