5931 Computing & IT courses

Solution-Focused Brief Therapy (SFBT) is an evidence-based approach that focuses on the present and future rather than the past. It helps clients identify and achieve their desired goals in a short time by using their own resources and strengths. SFBT is based on the assumption that clients are experts on their own lives and have the ability to change.   This course is your gateway to mastering the art of SFBT-an approach that focuses on strengths, solutions, and client empowerment. It's about creating an environment where individuals can discover their own paths to positive change. Enroll now and be the change your clients are searching for.

Overview This comprehensive course on Information Management will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Information Management comes with accredited certification which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Information Management. It is available to all students, of all academic backgrounds. Requirements Our Information Management is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 7 sections • 7 lectures • 02:17:00 total length •Introduction to Information Management: 00:32:00 •Information Management Strategy: 00:17:00 •Databases and Information Management: 00:29:00 •Management Information Systems (MIS): 00:16:00 •Auditing Information Systems: 00:16:00 •Ethical and Social Issues and Data Protection: 00:27:00 •Assignment - Information Management: 00:00:00

Are you someone who wants to utilise the database and how it can be effectively used for your business? Do you have the plans to make your database but you are struggling since don't have the right skills to start it? Worry no more! This course is designed to help you in this dilemma. Description:  Have you ever heard about the database? Or have you heard about it and want to use it on your own? Then this course will be able to help you in that. There are a lot of people who do not like to deal with database, scripts and all the technical parts, this hinders them to start learning because they already have the mindset that it is difficult. Database creation might be difficult, but with correct attitude and practical database skills, you will surely avoid the difficulties! You have to keep in mind that the end goal should guarantee the creation of the database and to be able to make more whenever you need it. In this course, you will first know how to create your database and database users. You will then master how to import database tables since most new scripts come with a built-in installer, the scripts create all database, but when the time comes that there is no installer provided, then you have to create one manually. Who is the course for? Employees of the business industry and other businessmen who want to learn how to utilise and create their database. People who have an interest in setting up their database and learn to become an expert on it. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Database Basics course will be very beneficial and helpful, especially to the following careers: Businessman Product Creators Programmers Sales Managers Top Executives Website Developer. Database Basics What is a Database 01:00:00 Definition of Terms 01:00:00 Database Users and Languages 01:00:00 Components of a Database System 01:00:00 Basic Set Concepts 01:00:00 Relations as a Database 01:00:00 Relational Database Operators 01:00:00 Database keys 01:00:00 Additional Supporting Material Database Basics 00:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Database Basics 00:20:00 Final Exam Final Exam- Database Basics 00:20:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview This 1 day course focus on comprehensive review of the current state of the art in quantifying and pricing counterparty credit risk. Learn how to calculate each xVA through real-world, practical examples Understand essential metrics such as Expected Exposure (EE), Potential Future Exposure (PFE), and Expected Positive Exposure (EPE) Explore the ISDA Master Agreement, Credit Support Annexes (CSAs), and collateral management. Gain insights into hedging strategies for CVA. Gain a comprehensive understanding of other valuation adjustments such as Funding Valuation Adjustment (FVA), Capital Valuation Adjustment (KVA), and Margin Valuation Adjustment (MVA). Who the course is for Derivatives traders, structurers and salespeople xVA desks Treasury Regulatory capital and reporting Risk managers (market and credit) IT, product control and legal Quantitative researchers Portfolio managers Operations / Collateral management Consultants, software providers and other third parties Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Unlock the potential of AI-driven creative writing with our QuillBot AI Masterclass. Elevate your writing skills and explore advanced features for flawless content creation.

Master the art of hybrid team management with our comprehensive course. Learn effective techniques for transitioning, team building, and driving high performance in a hybrid work environment. Elevate your leadership skills and optimize your team’s effectiveness in today’s dynamic work landscape.

Master the art of hybrid team management with our comprehensive course. Learn effective techniques for transitioning, team building, and driving high performance in a hybrid work environment. Elevate your leadership skills and optimize your team’s effectiveness in today’s dynamic work landscape.

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune

Gain comprehensive insights into UI design principles, tools, and practices. Learn to create user-centric interfaces for web and mobile platforms. Develop skills in wireframing, prototyping, and user testing.

Discover the fundamentals of user experience (UX) design in this comprehensive course. Delve into the principles and methodologies that drive effective UX design, including usability, interaction design, and user research.