The demand for financial engineers is skyrocketing. Did you know that the demand for financial engineering professionals is rising? In today's ever-changing economic landscape, having a solid foundation in financial analysis, business finance, and data analytics is crucial for success. Our comprehensive bundle of 15 courses in Financial Engineering is designed to equip you with the theoretical knowledge and analytical skills necessary to excel in this field. With our bundle, you'll embark on a transformative learning journey, expanding your financial intelligence and gaining valuable insights into financial analysis, business finance, investment strategies, and risk management. Explore the fascinating realm of FinTech and its impact on the industry, from digital banking to cryptocurrencies. Dive into the world of data analytics, unlocking the power of business and data analytics for informed decision-making. • Course 01: Financial Analysis • Course 02: Basic Business Finance • Course 03: Improve your Financial Intelligence • Course 04: FinTech • Course 05: Investment • Course 06: Business and Data Analytics for Beginners • Course 07: Corporate Finance: Profitability in a Financial Downturn • Course 08: Statistics • Course 09: Economics • Course 10: Business and Financial Modeling Specialisation • Course 11: Making Budget & Forecast • Course 12: Anti-Money Laundering (AML) Training • Course 13: Blockchain & Cryptocurrency • Course 14: Stock Market Day Trading Strategies • Course 15: Risk Management • Course 16: Career Development Plan Fundamentals • Course 17: CV Writing and Job Searching • Course 18: Learn to Level Up Your Leadership • Course 19: Networking Skills for Personal Success • Course 20: Ace Your Presentations: Public Speaking Masterclass Learning Outcomes: Develop a comprehensive understanding of financial analysis, business finance, FinTech, investment strategies, statistics, economics, business and data analytics, corporate finance, budgeting, anti-money laundering, blockchain and cryptocurrency, stock market day trading strategies, and risk management. Acquire the knowledge and intelligence needed to make informed financial decisions, assess risks, and maximise profitability. Gain proficiency in statistical analysis, enabling you to extract meaningful insights from data and make data-driven decisions. Understand the principles of economics and their impact on financial markets and decision-making processes. Master the art of financial modelling, constructing accurate models to evaluate business performance and forecast future outcomes. Explore essential topics such as anti-money laundering practices, blockchain and cryptocurrency, stock market day trading strategies, and risk management to broaden your understanding of the finance industry. Embark on an enriching journey through financial engineering with our comprehensive bundle of 15 courses. Designed to provide a theoretical understanding of key financial concepts, this bundle covers a wide range of topics, including financial analysis, business finance, FinTech, investment strategies, statistics, economics, business and data analytics, corporate finance, budgeting, anti-money laundering, blockchain and cryptocurrency, stock market day trading strategies, and risk management. Begin by diving into financial analysis, where you'll learn to interpret complex financial statements and evaluate investment opportunities. Gain a solid understanding of basic business finance, equipping yourself with the knowledge to manage finances effectively and make sound financial decisions. Enhance your financial intelligence and explore strategies to improve profitability in a financial downturn. Stay ahead of the curve with our FinTech course, where you'll discover how technology is reshaping the finance industry. Explore the potential of digital banking, payment systems, and automated investment platforms. Develop the skills to navigate the ever-evolving landscape of FinTech and leverage technology to drive financial success. Unlock the secrets of investment strategies and master the art of portfolio management. Learn to assess risks, evaluate asset profitability, and construct diversified portfolios that align with your financial goals. Enhance your analytical skills through our statistics and data analytics courses, enabling you to extract meaningful insights from financial data and make data-driven decisions. Understand the principles of economics and their influence on financial markets and economic trends. Explore supply and demand, market equilibrium, and macroeconomic factors that shape the business landscape. Delve into business and financial modelling, where you'll gain the skills to construct accurate models for budgeting, forecasting, and evaluating investment prospects. Gain insights into the binding domain of risk management, understanding how to identify, assess, and mitigate financial risks. Explore the transformative potential of blockchain and cryptocurrency, learning about their applications and impact on traditional financial systems. Lastly, delve into stock market day trading strategies, equipping yourself with techniques to navigate the fast-paced world of stock trading. Enrol in our Financial Engineering bundle today and unlock the knowledge and insights that will set you apart in this competitive field. Position yourself for success and open doors to a wide range of career opportunities in the finance industry. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is Ideal for: Aspiring financial professionals seeking to enhance their knowledge in financial engineering. Business students or graduates are looking to gain a competitive edge in finance. Finance professionals who want to expand their expertise and stay updated with the latest trends. Entrepreneurs or individuals interested in understanding financial dynamics for their business ventures. Anyone with a keen interest in finance and a desire to make informed financial decisions. Requirements Our Financial Engineering course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path The career paths you can pursue with this bundle and their salary ranges in the UK are: Financial Engineer: £50,000 - £100,000 Quantitative Analyst: £40,000 - £80,000 Risk Analyst: £30,000 - £60,000 Portfolio Manager: £40,000 - £80,000 Investment Banker: £60,000 - £120,000 Financial Consultant: £30,000 - £60,000 Financial Planner: £30,000 - £60,000
Do you know that the financial industry in the UK is a powerhouse, contributing over £132 billion to the country's economy each year? In recent news, the UK financial industry has witnessed a surge in demand for professionals with expertise in financial engineering. With technological advancements, changing regulations, and the rise of digital finance, there is a pressing need for individuals skilled in financial analysis, business finance, FinTech, investment strategies, statistics, economics, blockchain, and financial modelling. This growing demand presents a unique opportunity for learners like you to seize the exciting prospects in this thriving financial engineering industry. By enrolling in our bundle of 8 online courses in financial engineering, you can stay ahead of the curve and position yourself as a sought-after professional in the finance sector. With a comprehensive understanding of key concepts and cutting-edge technologies, you will be equipped to navigate the industry's complexities and make informed decisions that drive financial success. CPD Quality Standards Courses: Course 01: Financial Analysis Course 02: Investment Course 03: FinTech Course 04: Business and Data Analytics for Beginners Course 05: Statistics Course 06: Economics Course 07: Blockchain & Cryptocurrency Course 08: Business and Financial Modeling Specialisation Learning Outcomes: Develop a strong foundation in financial analysis, business finance, statistics, and economics, enabling you to make informed decisions based on data-driven insights. Gain an understanding of emerging technologies like FinTech and blockchain and their impact on the finance industry. Acquire investment strategies and portfolio management skills to optimise decision-making and achieve long-term financial growth. Learn business and financial modelling principles, constructing accurate models to assess business performance and evaluate investment opportunities. Explore the world of cryptocurrencies and understand the underlying concepts of blockchain, unlocking new possibilities in the financial landscape. Master the art of financial engineering, equipping yourself with the knowledge and skills to thrive in the dynamic and lucrative finance industry. The world of finance is changing rapidly. New technologies are emerging, and how we invest and manage our money constantly evolves. If you want to stay ahead of the curve, you need to understand the fundamentals of financial engineering. In the first course, Financial Analysis, you'll delve into the intricacies of interpreting financial statements, assessing profitability, and evaluating investment opportunities. Gain the expertise to make informed decisions based on financial data, positioning yourself as a trusted financial analyst. Embrace the digital revolution in finance with our FinTech course. Explore how technology is reshaping the industry, from digital banking and payment systems to automated investment platforms. Gain insights into the innovative possibilities and stay ahead of the curve in this dynamic financial engineering field. Unlock the secrets of successful investment strategies in our Investment Strategies course. Learn to evaluate risks, assess asset valuation, and construct diversified portfolios. Develop a strategic approach to investment decision-making and position yourself as a skilled investment manager through this financial engineering bundle. Expand your horizons with a deep understanding of statistics, economics, blockchain, and financial modelling. Gain proficiency in statistical analysis, leverage economic principles to navigate financial markets, explore the disruptive potential of blockchain technology, and master the art of financial modelling to evaluate business performance and assess investment prospects accurately. Take advantage of this chance to acquire in-demand skills and stay ahead of the curve in the finance industry. Enrol now and embark on your journey towards mastering the intricacies of financial engineering. Your future in finance starts here! CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course will be especially helpful for the following: Recent graduates who want to pursue a career in financial engineering Working professionals who wish to advance their careers in the financial industry Entrepreneurs who want to understand the financial implications of their business decisions and financial engineering Anyone who wants to learn more about the financial markets and how they work Anyone interested in learning about financial engineering Requirements Our Financial Engineering course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Some of the career paths related to this field are: Financial Engineer Financial Consultant Investment banking Insurance Consulting Quantitative analysis Risk management Financial modelling Salary Range Entry-level: £30,000 - £40,000 Mid-level: £40,000 - £60,000 Senior-level: £60,000 - £100,000
Transform your future with our stellar "Diploma in Python, Java, and Machine Learning" bundle, designed to ignite your passion for programming and data science. Dive deep into the complex world of Python and Java, two of the most versatile and widely-used programming languages of the 21st century, guided by our three QLS-endorsed courses. With this exclusive bundle, you will also receive a tangible recognition of your learning journey - hardcopy certificates that attest to your dedication and newfound skills. Continue your thrilling journey of discovery with five additional courses, all CPD QS accredited, that expose you to the riveting realms of Azure Machine Learning, AWS SageMaker Canvas, and more. Grasp the nuances of Statistics and Probability specifically for Data Science, and master the A-Z of Data Science and Machine Learning with R, a powerful tool for statistical analysis and graphics. Never has such a comprehensive package been offered. This course bundle not only imparts knowledge of leading programming languages but also goes beyond to equip you with a solid understanding of machine learning concepts and the exciting world of data science. Whether you're looking to enhance your resume, break into a new field, or simply quench your thirst for knowledge, our eight-course bundle is the key to unlocking a world of potential. Get ready to redefine your learning experience and embark on an unforgettable journey of intellectual growth. Prepare to amaze yourself with what you can achieve! Key Features of the Diploma in Python, Java and Machine Learning Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Diploma in Python, Java and Machine Learning bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Diploma in Python Programming QLS Course 02: Introduction to Java QLS Course 03: Machine Learning with Python 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Azure Machine Learning Course 02: Complete Python Machine Learning & Data Science Fundamentals Course 03: Machine Learning Model Using AWS SageMaker Canvas Course 04: Statistics & Probability for Data Science & Machine Learning Course 05: 2021 Data Science & Machine Learning with R from A-Z In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Diploma in Python, Java and Machine Learning courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Gain an in-depth understanding of Python and Java, two powerful programming languages that underpin modern computing. Develop comprehensive knowledge of machine learning concepts, principles, and techniques using both Python and AWS SageMaker Canvas. Understand how to implement and utilise Azure Machine Learning. Grasp the fundamentals of Data Science, including crucial statistical methods and probability theory. Learn the complete range of applications of R in Data Science and Machine Learning. Build a strong theoretical foundation that enables critical thinking and problem-solving in real-world scenarios. Achieve hardcopy certificates of QLS-endorsed courses as proof of your dedication and hard-earned skills. Elevate your intellectual capabilities with our "Diploma in Python, Java, and Machine Learning" bundle. This bundle, featuring three QLS-endorsed and five CPD QS-accredited courses, is meticulously designed to bring you the best of programming languages, data science, and machine learning. It offers a deep dive into Python and Java, extends into the promising terrain of machine learning, and wraps up with a nuanced understanding of data science and related statistical methods. Unlock new doors of possibilities with this comprehensive and profound learning journey. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in learning programming languages such as Python and Java. Enthusiasts wanting to gain a theoretical understanding of machine learning and data science. Professionals seeking to broaden their knowledge base and enhance their resumes. Anyone with a passion for lifelong learning and a thirst for knowledge in tech-related fields. Career path Python Developer: £30,000 - £70,000 per year. (Average Salary range in the UK) Java Developer: £70,000 per year. Machine Learning Engineer: £40,000 - £80,000 per year. Data Scientist: £35,000 - £80,000 per year. Azure/AWS Machine Learning Specialist: £40,000 - £90,000 per year. Statistician: £30,000 - £60,000 per year. Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included
Welcome to the world of machine learning, Java, and Python programming! This exciting bundle offers a comprehensive learning experience with a variety of courses that will equip you with the knowledge and skills needed to excel in these fields. Within this bundle, you will find a total of eight courses, including three QLS-endorsed courses and five relevant CPD QS-accredited courses. The three QLS-endorsed courses in this bundle are the Machine Learning with Python course, the Introduction to Java course, and the Diploma in Python Programming. These courses have been carefully curated and designed to provide you with a solid foundation in machine learning and programming using both Java and Python. Upon completion of these courses, you will receive hardcopy certificates to showcase your achievement. In addition to the QLS-endorsed courses, this bundle also includes five CPD QS-accredited courses. These courses are highly relevant to the field and will further enhance your understanding and expertise. They include Azure Machine Learning, Complete Python Machine Learning & Data Science Fundamentals, Machine Learning Model Using AWS SageMaker Canvas, Statistics & Probability for Data Science & Machine Learning, and 2021 Data Science & Machine Learning with R from A-Z. Key Features of the Machine Learning, Java and Python Programming Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Machine Learning, Java and Python Programming bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Machine Learning with Python QLS Course 02: Introduction to Java QLS Course 03: Diploma in Python Programming 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Azure Machine Learning Course 02: Complete Python Machine Learning & Data Science Fundamentals Course 03: Machine Learning Model Using AWS SageMaker Canvas Course 04: Statistics & Probability for Data Science & Machine Learning Course 05: 2021 Data Science & Machine Learning with R from A-Z In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Machine Learning, Java and Python Programming courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Gain a comprehensive understanding of machine learning principles and algorithms. Develop proficiency in programming with Python and Java, and apply these skills to real-world projects. Explore the fundamentals of data science and statistical analysis. Learn how to leverage cloud-based platforms, such as Azure and AWS, for machine learning tasks. Build and deploy machine learning models using various frameworks and tools. Acquire practical knowledge in data preprocessing, feature selection, and model evaluation techniques. Gain expertise in using R for data science and machine learning applications. This bundle combines the power of machine learning, Java programming, and Python programming to provide you with a comprehensive skill set in these high-demand fields. With a total of eight courses, including three QLS-endorsed and five CPD QS-accredited courses, this bundle covers all the essential topics and techniques needed to succeed. Whether you are a beginner looking to enter the world of machine learning and programming or an experienced professional seeking to expand your knowledge and skills, this bundle has something for everyone. From understanding the fundamentals to applying advanced algorithms, you will gain a deep understanding of machine learning principles and the ability to develop robust applications using Java and Python. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in starting a career in machine learning, Java programming, or Python programming. Professionals seeking to enhance their skills and stay updated with the latest trends in these fields. Students pursuing degrees in computer science, data science, or related disciplines. Anyone looking to broaden their knowledge and explore the exciting field of machine learning and programming. Career path Machine Learning Engineer: £45,000 - £90,000 per year Data Scientist: £40,000 - £80,000 per year Java Developer: £30,000 - £70,000 per year Python Developer: £35,000 - £75,000 per year Cloud Solutions Architect: £50,000 - £100,000 per year Statistical Analyst: £35,000 - £65,000 per year Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included
In this course you will learn how to use the power of Python to train your machine such that your machine starts learning just like human and based on that learning, your machine starts making predictions as well!
Duration 5 Days 30 CPD hours This course is intended for This intermediate-level course requires students have incoming experience working with Oracle Database 18 or higher. Overview Working in a hands-on learning environment led by our expert facilitator, you'll explore: The Oracle Database Architecture Query Optimizer Tuning Container Databases and Pluggable Databases Oracle 19c Tuning features Evaluating Execution Plans Oracle Tuning Tools Using Automatic Workload Repository Join Types AWR Using Baselines Additional AWR performance tools Optimizer Statistics Monitoring a Service Bind Variables and database parameters Oracle's Real Application Testing (RAT) SQL Tuning Advisor Automatic Sql Tuning Sql Plan Management Shared Pool Tuning Tuning the database buffer cache Tuning the PGA (Program Global Area) Automatic Memory Management (AMM) Tuning Segment Space Utilization (ASSM) Automatic Storage Management Oracle 19C Database Tuning is an intermediate level course for Oracle database experienced attendees that explores core tuning skills such as Database parameters, SQL Tuning Advisor, SQL Access Advisor, Adaptive SQL plans and more. Overview Oracle Database Architecture Instance Definition Define SGA Define Background Processes Datafile Definition Query Optimizer SQL Parsing Optimizing Terms Optimizing Methods Query Plan Generation Query Plan Control Tuning Container Databases and Pluggable Databases Pluggable tuning parameters Define Container tuning structure Using PDB$SEED Create a new PDB Plug and unplug a PDB Oracle 12c Tuning features Identifying and Using Oracle's Heat Map 12c Compression Levels and Types Evaluating Execution Plans Defining SQL execution plans Automatic Workload Repository Reading execution plans Oracle Tuning Tools Monitoring tools overview Enterprise Manager Dynamic Performance Views Automatic Workload Repository Automatic Database Diagnostic Monitor Sql Tuning Advisor SQL Access Advisor Sql Access Advisor DB operation Tuning DB operation Active Reporting Using Automatic Workload Repository Defining AWR AWR Settings Creating AWR Baselines Metrics, Alerts, and Thresholds Defining Metrics Setting Alerts Setting Corrective Actions User Defined Metrics Metric Dynamic Views Join Types Nested Loops Join Sort Merge join Hash Join and Cartesian Join Equijoins and Nonequijoins Outer Joins Semijoins AWR Using Baselines Creating AWR baselines Creating AWR Repeating baselines Moving Window Baseline Additional AWR performance tools Automatic Maintenance Tasks Segment Advisor Statistics Gathering Automatic Tuning Optimizer Automatic Database Diagnostic Monitor Active Session History (ASH) Optimizer Statistics Optimizer Statistics Overview Table and Index Statistics Statistic Preferences Statistics Gathering e) Locking Statistics, Export/Import Statistics Pending and published statistics Optimizer Hints Optimizer Paths Cost Base Optimization Monitoring a Service Overview of what is an Oracle Service Creating an Oracle Service for Single instance and RAC Monitoring a Service Resource Management and a Service Enterprise Manager and a Service Bind Variables and database parameters Bind variable definition Cursor_sharing parameter Adaptive Cursor Sharing Oracle's Real Application Testing (RAT) Sql Performance Analyzer overview Sql Performance Analyzer Options Database Parameter changes Database version changes Creating SQL Tuning Sets Database Replay Overview Database Replay Configuration Database Replay Options SQL Tuning Advisor SQL Tuning Advisor: Overview SQL Tuning Advisor Limited Mode Sql Tuning Advisor Comprehensive mode Sql Tuning Profiles SQL Access Advisor SQL Access Advisor: Overview Sql Access Advisor options SQL Access Advisor and Sql Tuning Sets Sql Access Advisor and AWR Results and Implementation Automatic Sql Tuning Automatic Sql Tuning Maintenance Task Automatic Tuning Optimization implementation(ATO) Automatic Tuning Optimization Results Enable/Disable Automatic Tuning Optimization Sql Plan Management Sql plan Management and baseline overview Enable sql plan management Loading Sql Plan baselines into the SGA Adaptive plan management Shared Pool Tuning Shared pool architecture Shared pool parameters Library Cache Dictionary cache Large pool considerations and contents Tuning the database buffer cache Database buffer cache overview Database buffer cache parameters Oracle and Dirty reads and writes Automatic Shared Memory Management (ASMM) Buffer Cache goals and responsibility Buffer Cache pools Tuning the PGA (Program Global Area) PGA Overview PGA Database Parameters Temporary Segments Temporary Tablespace Sizing the PGA Automatic Memory Management (AMM) Oracle's Automatic Memory Management Overview Database Auto-tuned Parameters Database Non Auto-tuned Parameters Automatic Memory Management Hints and Sizing suggestions AMM versus ASMM Tuning Segment Space Utilization (ASSM) Overview of Automatic Segment Space Management Defining the DB_BLOCK_SIZE Defining DB_nk_CACHE_SIZE parameter The DB_BLOCK_SIZE Parameter Overview of table compression, block chaining, and block migration Automatic Storage Management Overview of ASM Definition of Grid Infrastructure ASM Instance ASM Diskgroups ASM Diskgroup parameters and templates ASMCMD
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Sexual harassment is unwanted conduct of a sexual nature. Experiencing sexual harassment can be one of the most difficult situations a worker can face, however it should not be happening and all workers are protected by law from sexual harassment. Handling accusations of sexual harassment can be difficult, and if not done correctly can lead to the company being held liable along with the perpetrator of the harassment. This course will start by defining sexual harassment and explaining how protection comes from both employment law and criminal law. You'll see from workplace statistics how widespread and serious the problem is, and how the management response to concerns raised is often poor or non-existent. It also addresses how allegations should be handled, explains the importance of having clear and robust policies and the role line managers tend to take when it comes to dealing with these situations. The course also coves investigation from the employer's perspective, the role of employment tribunals, and concludes with some case studies that will give further insight into what constitutes harassment and the outcome of cases where the businesses did not act appropriately to deal with this behaviour.
A comprehensive package for beginners to learn how to automate social media applications such as WhatsApp, YouTube, and Facebook from scratch using Python. The course will help you understand the impact of social media automation in real-world applications and provide a unique hands-on experience in developing different real-time exciting projects.
This course will start by covering the many benefits electricity brings to society, as well as its key components voltage, current and resistance. It will explain the two main types of electricity, cover UK accident and death statistics, and describe a simple way of remembering the electrical hazards. It then goes on to provide basic instructions about how you could safely help someone you suspect has received an electric shock.