2890 Decision Making courses

Unlock the power of information with our comprehensive course on Information Management Fundamentals. Whether you're a seasoned professional or just starting your journey in the world of data, this course will equip you with essential knowledge and skills to navigate the complexities of information management. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In the course "Information Management Fundamentals," learners delve into various aspects of handling and utilizing information effectively. They start by understanding the basics of information management, including its importance and how it is applied in different contexts. They explore management information systems, learning how organizations use technology to gather and process data for decision-making. Diving deeper, learners study databases and how information is organized and retrieved efficiently. They also examine strategies for managing information within an organization, focusing on planning and implementation. Ethical considerations are another crucial aspect covered, including issues related to data protection and social responsibility when handling information. Finally, learners gain insights into auditing information systems, ensuring they understand how to assess and improve information management practices. Throughout the course, emphasis is placed on practical applications and ethical considerations to prepare learners for roles where they manage and utilize information responsibly and effectively. Course Curriculum Module 01: Introduction to Information Management Module 02: Management Information Systems Module 03: Databases and Information Management Module 04: Information Management Strategy Module 05: Ethical and Social Issues and Data Protection Module 06: Auditing Information Systems Learning Outcomes: Understand foundational concepts in Information Management and its importance in organisations. Analyse the role of Management Information Systems in enhancing business operations. Evaluate different types of databases used in effective information management. Formulate strategies for efficient Information Management within organisational contexts. Examine ethical and social implications concerning data protection and privacy. Apply auditing techniques to assess the effectiveness of Information Systems. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? IT professionals seeking deeper insights into information management strategies. Business managers aiming to enhance organisational data handling capabilities. Students pursuing careers in data analysis and information governance. Consultants advising on technology-driven business solutions. Government officials involved in policy-making for data protection. Career path Data Analyst Information Systems Manager Database Administrator IT Security Consultant Compliance Officer Business Intelligence Analyst Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Discover the thrilling world of artificial intelligence with the 'Machine Learning Course with Python'. Immerse yourself in a voyage from foundational concepts, unveiling the mysteries behind algorithms, to diving deep into the cores of preprocessing, regression, and classification. Crafted meticulously, this course introduces Python as the catalyst, opening doors to data-driven decision-making and predictive analysis, empowering your journey in the ever-evolving field of machine learning. Learning Outcomes Grasp the foundational knowledge of various machine learning algorithms. Attain proficiency in preprocessing data for optimal outcomes. Master the nuances of regression analysis using Python. Delve into the intricacies of classification techniques. Enhance problem-solving abilities with practical Python-driven machine learning applications. Why choose this Machine Learning Course with Python course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Machine Learning Course with Python Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Machine Learning Course with Python course for? Aspiring data scientists eager to harness the power of machine learning. Python enthusiasts aiming to delve into its applications in AI. Professionals in the tech industry seeking a transition into data roles. Academics and researchers wanting to employ machine learning in their work. Business analysts aiming to leverage predictive analytics for better insights. Career path Data Scientist: £40,000 - £70,000 Machine Learning Engineer: £50,000 - £80,000 AI Researcher: £45,000 - £75,000 Data Analyst: £30,000 - £50,000 Python Developer: £35,000 - £65,000 Business Intelligence Developer: £40,000 - £60,000 Prerequisites This Machine Learning Course with Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Course with Python 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Machine Learning Algorithms Introduction to types of ML algorithm 00:02:00 Module 02: Preprocessing Importing a dataset in python 00:02:00 Resolving Missing Values 00:06:00 Managing Category Variables 00:04:00 Training and Testing Datasets 00:07:00 Normalizing Variables 00:02:00 Normalizing Variables - Python Code 00:03:00 Summary 00:01:00 Module 03: Regression Simple Linear Regression - How it works? 00:04:00 Simple Linear Regreesion - Python Implementation 00:07:00 Multiple Linear Regression - How it works? 00:01:00 Multiple Linear Regression - Python Implementation 00:09:00 Decision Trees - How it works? 00:05:00 Random Forest - How it works? 00:03:00 Decision Trees and Random Forest - Python Implementation 00:04:00 Module 04: Classification kNN - How it works? 00:02:00 kNN - Python Implementation 00:10:00 Decision Tree Classifier and Random Forest Classifier in Python 00:10:00 SVM - How it works? 00:04:00 SVM - Python Implementation 00:06:00 Assignment Assignment - Machine Learning Course with Python 00:00:00

Java CrossOver Course for Coders 1-Day, 11am - 6pm Online, Instructor-led, Interactive, Practical Java Basics to coders who are converting to Java from a different coding language. You do not need much time to learn the syntax of Java, because you have done similar work in other programming languages Hands-on, Practical Course, Instructor-led Course. Online with Gotomeeting.com 1 day, from 11am - 6pm. In classroom at on request only. Locations Java CrossOver Course description Overview of Java: This course covers Java Object-Oriented Programming (OOP) principles. Java Data Types and using Variables in Java: Here we learn to code using data types and variables of different data types: Primitives; Characters; Boolean; Variables and variable scope; String class; Type conversion and casting. Java Operators and Expressions: What are operators and how to use them; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators. Decision Making: The Java Syntax for the If-statement; If,else; If,else if,else; Nested if; Switch Statements; Using Loops: For loops, while loops, do while, Enhanced for loop; Nesting loops; break, continue; The return statement. Arrays: Working with arrays, 2-d arrays, iterating arrays. Using the for-each loop with Arrays Lists: Working with lists. Lists vs Arrays. Files,streams with Java: Open, Read and Write to CSV Files, txt files and bin files. Exception Handling: Fundamentals of exception handling; Exception types; Using try and catch; Multiple catch clauses; Nested try statements; Throw and throws; The finally blocks Introduction to Classes and Objects: Creating a Class; Creating an Object; Using an Object; Adding Instance variables; Controlling accessibility; Naming conventions for class members. Class Constructors; Parameterized Constructors; Inheritance. Abstraction. Interfaces and implementing interfaces. Override. Polymorphism. The dot operator, this keyword, the static keywords, the super keyword. Using Methods: Introduction of methods; Creating a Method in class; Calling a Method; Returning value from a Method; Adding a Method that takes parameters; More in Methods and Classes: Overloading methods; Overloading Constructors; Using objects as parameters; Returning objects; Recursion; Access control : private, public and protected; The final keyword. What is included PCWorkshops Course Certificate on completion Java Course Notes Java Code Examples Practical Java Course exercises, Java Course Revision work After the course: 1-Hour personalised online revision session Book the Java CrossOver Course About us Our experienced trainers are award winners. More about us FAQ's Client Comments

Java basics course. General Java syntax and principles of object-oriented programming. Level: Start from scratch; this is the course for a beginner. Java from basics to fully functional. Our Style: Instructor-led Course, very practical with hands-on practice. Small groups up to 4 people. Trainers are professional developers and subject matter experts.

Unlock the potential of the global financial markets with our comprehensive Diploma in Forex Trading Course. Whether you're a beginner or looking to refine your trading strategies, this course is designed to equip you with essential knowledge and skills to thrive in the forex market. Course Link: Diploma in Forex Trading Course Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In this Diploma in Forex Trading Course, learners will gain comprehensive knowledge essential for successful forex trading. They will understand how the forex market operates globally, including the major currencies involved and its structural dynamics. Learners will learn to analyze the market using both fundamental and technical approaches, enabling them to make informed trading decisions. They will discover strategies for managing risks effectively and applying sound money management principles to safeguard their investments. Additionally, the course covers the psychological aspects of trading, helping learners develop the discipline and mindset required for trading success. By exploring common pitfalls and risks, learners will be equipped with the knowledge to navigate challenges and avoid potential pitfalls in forex trading, ensuring they can trade confidently and responsibly in the global currency markets. Course Curriculum Module 01: Introduction to Forex Trading Module 02: Kinds of Foreign Exchange Market Module 03: Major Currencies and Market Structure Module 04: Fundamental Analysis Module 05: Technical Analysis Module 06: Managing Risk Module 07: Money Management Module 08: Trading Psychology Module 09: Pitfalls and Risks Learning Outcomes Understand basics of Forex trading and its principles. Identify different types of foreign exchange markets and their functions. Analyze major currencies and their roles in market dynamics. Apply fundamental analysis techniques to assess market trends. Utilize technical analysis tools for trading decision-making. Implement strategies for managing risk and preserving capital. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Financial analysts seeking forex market expertise. Economics students aiming for forex trading proficiency. Investors interested in diversifying their portfolios. Business professionals exploring forex trading opportunities. Anyone keen on understanding global currency exchange dynamics. Career path Forex Trader Currency Analyst Financial Consultant Market Research Analyst Investment Strategist Economic Analyst Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Are you ready to take control of your financial future? Look no further than our comprehensive Financial Management Online Training. With a carefully crafted curriculum designed to empower you with essential financial skills, this course is your gateway to mastering the art of financial management. Key Features: CPD Certified Developed by Specialist Lifetime Access In this Financial Management Online Training, learners will gain a comprehensive understanding of managing finances effectively. They'll start with the basics, learning about financial statements like the balance sheet, income statement, and cash flow statement. Understanding these statements helps in assessing a company's financial health. They'll delve into analyzing and interpreting financial data, crucial for making informed decisions. Moreover, learners will explore the inter-relationship between different financial statements, grasping how changes in one affect others. Budgeting fundamentals will be covered, aiding in planning and controlling finances efficiently. Additionally, learners will discover the international aspects of financial management, essential for businesses operating globally. Overall, this course equips learners with the essential skills and knowledge to manage finances competently in various organizational contexts. Course Curriculum Module 01: Introduction To Financial Management Module 02: The Balance Sheet Module 03: Income Statement Module 04: Statement of Stockholders' Equity Module 05: The Cash Flow Statement Module 06: Analysing and Interpreting Financial Statements Module 07: Inter-relationship between All the Financial Statements Module 08: Fundamentals Of Budgeting Module 09: International Aspects of Financial Management Learning Outcomes Understand the principles and importance of financial management strategies. Analyze and interpret financial statements effectively for informed decision-making. Demonstrate knowledge of the inter-relationship between different financial statements. Apply fundamental budgeting techniques in financial management processes. Evaluate the international dimensions impacting financial management practices. Develop skills in assessing the financial health of an organization. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Business professionals seeking financial management understanding. Graduates aiming to enhance financial management knowledge. Aspiring financial analysts interested in foundational financial principles. Individuals considering a career in accounting or financial consultancy. Entrepreneurs requiring solid financial management skills for business success. Career path Financial Analyst Accountant Financial Controller Budget Analyst Treasury Analyst International Finance Manager Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Are you interested in delving into the intricate world of corporate finance? Do you aspire to understand the financial mechanisms that drive businesses forward? Look no further than our comprehensive Introduction to Corporate Finance Online Course. Developed by specialists in the field, this course offers a structured approach to understanding the fundamentals of corporate finance, equipping learners with essential knowledge to navigate financial landscapes effectively. Key Features: CPD Certified Developed by Specialist Lifetime Access In this course, participants will embark on a journey through the core concepts of corporate finance, gaining insights into crucial areas such as financial analysis, risk-return tradeoff, and capital budgeting. They will explore the regulatory framework governing corporate finance operations and learn strategies for managing profitability during financial downturns. Additionally, participants will delve into long-term financial planning and growth strategies, preparing them to make informed financial decisions in various organizational settings. Course Curriculum: Module 01: Introduction to Corporate Finance Module 02: Financial Analysis Module 03: Financial Risk-Return Tradeoff Module 04: Corporate Finance Regulations Module 05: Capital Budgeting Module 06: Profitability During Financial Downturn Module 07: Managing Profitability in Financial Downturn Module 08: Long Term Financial Planning and Growth Module 09: Career Path in Corporate Finance Learning Outcomes: Analyze financial data and perform effective financial analysis. Understand the risk-return tradeoff in corporate finance decision-making. Navigate corporate finance regulations and compliance requirements. Evaluate capital budgeting decisions for optimal resource allocation. Implement strategies for maintaining profitability during financial downturns. Develop long-term financial plans to support organizational growth objectives. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals seeking to build a solid foundation in corporate finance principles. Aspiring finance professionals aiming to advance their careers in corporate finance roles. Business students and professionals interested in enhancing their financial acumen. Entrepreneurs and business owners seeking to make informed financial decisions for their ventures. Anyone interested in understanding the dynamics of corporate finance in today's business environment. Career path Financial Analyst Corporate Treasurer Investment Banker Financial Manager Risk Manager Chief Financial Officer (CFO) Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Getting Started The Level 7 Diploma in Data Science empowers learners to formulate research hypotheses, effectively organize, analyze, and visualize data, unveiling innovative solutions that can challenge conventional business assumptions. It aims to support organizations and their managers in critical decision-making by applying various data science techniques and models. The Qualifi Level 7 Diploma in Data Science offers learners the opportunity to: Obtain a globally recognized qualification from a prestigious awarding organization. Access an up-to-date curriculum aligned with the latest developments in the contemporary business landscape. Acquire new skills and knowledge directly applicable to data science and analytics. Benefit from assessments that are evaluated and moderated by respected academic and industry professionals with hands-on experience in data science and analytics. Progress along a pathway toward pursuing a Master's degree or higher qualifications. Key Benefits Attain comprehensive mathematical and statistical expertise for advanced data analysis. Master programming in R, Python, and SQL for proficient data analysis. Develop strong data management skills, including data evaluation, structuring, and cleaning. Learn effective data visualization techniques and tools. Gain a deep understanding of classical data analytics, covering statistical inference, predictive modelling, time series analysis, and data reduction. Apply common machine learning techniques to solve business and other real-world problems. Grasp essential concepts from contemporary business themes. Apply data science and analytics effectively within business and organizational contexts. Key Highlights Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our QUALIFI-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience.   Career Pathways Progress along a pathway to gain a Master's degree or beyond. About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements Possess a minimum of a Level 6 qualification in a related sector. Hold a Bachelor's degree. Demonstrate at least three years of relevant work experience showcasing current and pertinent industry knowledge. Individuals with substantial practical experience but lacking formal qualifications may also be considered in exceptional cases. Their eligibility will be determined through an interview process, where they must demonstrate their capacity to meet the program's demands Progression Upon completing the QUALIFI Level 7 Diploma in Data Science, learners have several promising progression pathways: QUALIFI Level 7 and/or 8 Diploma: Graduates can advance their education and expertise by enrolling in a QUALIFI Level 7 and/or Level 8 Diploma, which offers higher-level qualifications in their chosen field. Direct Employment in an Associated Profession: Learners can enter the workforce directly, securing employment in professions related to data science, analytics, and other relevant areas, applying their newly acquired skills and knowledge. Pursue a Master's Degree Dissertation: Graduates also have the option to undertake an appropriate dissertation-only program for a Master's Degree at one of QUALIFI's university partnerships. This pathway allows them to specialize further and advance their academic qualifications. Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. To know about the Qualification Structure, please get in touch with us at: admission@sbusinesslondon.ac.uk Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Limited Time Offer | 14-in-1 Bundle | CPD QS Certified | 140 CPD Points | Gifts: Hardcopy + PDF Certificate + Transcript + SID - Worth £180 | Customer Support | Lifetime Access

Who would find this course useful? This course excellent for beginners who would like to enter the programmer world via C#. Or for individuals have a particular need for C# Level: A good start for beginners through to intermediate with OOP. Practical confidence will be achieved with a very practical approach to the training. This is normally online, but onsite and classroom courses are also available on request