4012 Analyst courses

Thinking about learning more about how Artificial Intelligence can help in a business? The BCS Foundation Award - How AI Can Support Your Organisation explores the evolution of AI from its inception to present day, and identify potential future AI opportunities which exist to drive organisational strategy at all levels. It considers how AI can make improvements to processes, products and services, enabling an organisation to gain a competitive edge within the market, and the benefits and potential implications it has for the human workforce. You will learn the evolution of AI, an understanding of the shape and structure of organisations, an understanding of the role of AI in an organisation and an understanding of the art of the possible.

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

An information security manager takes responsibility for overseeing and controlling all aspects of computer security in a business. The job entails planning and carrying out security measures that will protect a business’s data and information from deliberate attack, unauthorized access, corruption and theft.” Randstad.co.uk Learning outcomes: How to ensure essential guidelines are in place for adhering to industry rules and regulations. How to conduct internal audits and reviews to ensure compliance (SOX, etc). How to carry-out gap analysis using ISO27001, ISO27002, ISO27005, NIST CSF etc. How to review companies’ policies, procedures, and guidelines. How to carry-out risk assessment and ensuring the right treatment is selected. How to identify vulnerabilities and patch the weaknesses How to compliance to regulatory requirements (UK Data Privacy, GDPR, HIPAA, etc). How to ensure employees are thoroughly updated about the organization’s policies, regulations, and processes. How to ensure employees are guided and made aware of information security risks the legal implication. Who is the course for? Managers Accountant Engineers Business Analysts Healthcare Professionals. Teachers and Academics. Students and professions with transferable skills. E-mail: info@prefortconsult.com Website: www.prefortconsult.com Mobile: +447455884242 Attending this will enable you to access some paid courses and training for free. HURRY NOW and book your place before the opportunity closes. Note: All sessions/classes will take place online via Zoom. You are also required to attend group discussions to improve your skills like presentation, communication, analysis, etc.

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Duration 3 Days 18 CPD hours This course is intended for The CompTIA Cloud Essentials+ Specialty certification is relevant to IT specialists, IT technical services specialists, IT relationship managers, IT architects, consultants, business and IT management, business process owners, and analysts. Overview Upon successful completion of this course, students will be able to: Learn the fundamental concepts of cloud computing. Learn the business aspects and impact of cloud computing. Differentiate the types of cloud solutions and the adoption measures needed for each. Identify the technical challenges and the mitigation measures involved in cloud computing. Identify the steps to successfully adopt cloud services. Identify the basic concepts of ITIL and describe how the ITIL framework is useful in the implementation of cloud computing in an organization. Identify the possible risks involved in cloud computing and the risk mitigation measures, and you will also identify the potential cost considerations for the implementation of cloud and its strategic benefits. Students will weigh the pros and cons of cloud computing to make effective decisions and meet IT challenges. 1 - Understanding Cloud Computing Concepts Topic A: Understand Basic Cloud Concepts and Terms Topic B: Identify Cloud Network and Cloud Storage Technologies Topic C: Recognize Cloud Design Aspects 2 - Applying Cloud Business Principles Topic A: Relate Cloud Concepts to Business Principles Topic B: Establish Cloud Vendor Relations Topic C: Distinguish the Financial Aspects of Engaging a Cloud Service Provider Topic D: Report Financial Expenditures 3 - Advising a Cloud Design and Migration Topic A: Relate Cloud Concepts to Cloud Design and Migration Topic B: Use Cloud Assessments Topic C: Manage Cloud Design Topic D: Compare Cloud Migration Approaches Topic E: Identify Benefits and Solutions of Cloud Services 4 - Operating in the Cloud Topic A: Relate Cloud Concepts to Technical Operations Topic B: Identify the Technical Aspects of Cloud Operations Topic C: Understand DevOps in the Cloud Topic D: Explain Cloud Security Concerns, Measures, and Concepts 5 - Managing Cloud Governance Topic A: Relate Cloud Concepts to Governance Topic B: Apply Risk Management Concepts Topic C: Understand Compliance and the Cloud Topic D: Manage Policies and Procedures for Cloud Services 6 - Appendix A: Mapping Course Content to the CompTIA Cloud Essentials+ (Exam CLO-002) 7 - Appendix B: CompTIA Cloud Essentials+ (Exam CLO-002) Acronyms 8 - Glossary 9 - Index Additional course details: Nexus Humans CompTIA Cloud Essentials Plus Certification (Exam CLO-002) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CompTIA Cloud Essentials Plus Certification (Exam CLO-002) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Mergers and Acquisitions - Virtual Learning Why Attend This practical course covers the key steps in the Mergers and Acquisitions(M&A) process, from the initial step of valuing the shares in a company through to closing the deal. Whether or not participants practice M&A, this course will provide them an insider's look into what is an undeniable major force in today's corporate arena. This course will give participants an A-Z understanding of the M&A process and the ability to evaluate whether a merger or acquisition fits with their organization's strategy. As a result they will identify the most lucrative M&A opportunities, select the best partners and get the maximum reward from the deal. Course Methodology In this interactive training course participants will frequently work in pairs as well as in larger groups to complete exercises, and regional and international case studies. Course Objectives By the end of the course, participants will be able to: Identify attractive Mergers and Acquisitions (M&A) opportunities Formulate the initial steps and the preliminary agreements for a merger or acquisition Carry out a full due diligence into the state of affairs of a target company Understand the Share Purchase Agreement (SPA) and the Asset Purchase Agreement (APA) Take an active role in the exchange and completion stages of a merger or acquisition Be an effective part of the post-merger integration to ensure the smooth running of the new organization Target Audience This course is suitable for anyone involved in the identification, planning and execution of a Mergers and Acquisitions opportunity. This includes, CEOs, managing directors, general managers, financial directors, accountants, board members, commercial directors, business development directors, strategy planners and analysts, and in-house council. Target Competencies Identifying M&A opportunities Due Diligence Organizing Acquisitions Structuring Negotiations Post-acquisition Integration Post-acquisition Audit Note The Dubai Government Legal Affairs Department has introduced a Continuing Legal Professional Development (CLPD) programme to legal consultants authorised to practise through a licensed firm in the Emirate of Dubai. We are proud to announce that the Dubai Government Legal Affairs Department has accredited EMG Associates as a CLPD provider. In addition, all our legal programmes have been approved. This PLUS Specialty Training Legal course qualifies for 4 elective CLPD points. Fundamentals of Mergers and Acquisitions ( M&A) Distinction between Mergers and Acquisitions Types of Mergers & Acquisitions Horizontal Vertical conglomerate Knowledge of areas of law required in M& A The Preliminary documents required in M&A Heads of terms- legally binding? Confidentiality - do they need to be in writing? Lockout/exclusivity agreements- requirements for enforceability How to structure the Acquisition Share sale Advantages and disadvantages from the buyer's perspective Advantages and disadvantages from the seller's perspective Business sale Advantages and disadvantages from the buyer's perspective Advantages and disadvantages from the seller's perspective Hive down A combination of assert sale and share sale Looking at different valuation techniques Real Estate Value Relief from Royalty Discounted Cash Flow Market Multiples Dividend Yield Net Assets The Due Diligence Process What is it? Why do it? Scope of due diligence Legal Financial  Commercial Operational The Purchase Agreements Share Sale Purchase Agreement v Asset Purchase Agreement v Business Purchase Agreements Provisions in a Share Purchase Agreement Importance of warranties and indemnities in purchase agreements Negotiating warranties from a Share Purchase Agreement Contractual protection for the seller  Disclosure letter Intellectual property What happens to IP in M&A  Stages of the IP during the M&A process Dispute Resolution in M&A Litigation Arbitration Mediation The Exchange and completion stages of M&A Seller's document Buyer's document The auction process The relevant stages Advantages and disadvantages from the buyer's and the seller's perspective

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

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