34384 Courses in Cardiff delivered On Demand

Learn about the jQuery library from scratch and stretch your journey from a beginner-level to advanced-level professional with a step-by-step and comprehensive course. A basic understanding of the JavaScript Document Object Model and CSS is suggested as a prerequisite to this course.

A step-by-step guide that walks you through the fundamentals of Python programming followed using Python libraries to create random forest from scratch. A comprehensive course designed for both beginners with some programming experience or even those who know nothing about ML and random forest!

Build and deploy a social network with Node.js, Express, React, Redux and MongoDB. Learn how to put it all together

Are you interested in learning and deploying applications at scale using Google Cloud platform? Do you lack hands-on exposure when it comes to deploying applications and seeing them in action? Then this course is for you. You will also learn microservices and event-driven architectures with real-world use case implementations.

Give a compliment to your career and take it to the next level. This Actuarial Science will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Actuarial Sciencebundle will help you stay ahead of the pack. Throughout the Actuarial Scienceprogramme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector. Along with this Actuarial Science course, you will get 10 premium courses, an originalhardcopy, 11 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Actuarial Science Bundle Consists of the following Premium courses: Course 01: Internal Audit Training Diploma Course 02: Financial Statements Fraud Detection Training Course 03: Basic Business Finance Course 04: Financial Risk Management Course 05: Risk Management Course 06: Corporate Risk And Crisis Management Course 07: Compliance & Business Risk Management Course 08: Banking and Finance Accounting Statements Financial Analysis Course 09: Financial Analysis : Finance Reports Course 10: Statistical Analysis Course 11: Fundamentals of Business Analysis Enrol now in Actuarial Science to advance your career, and use the premium study materials from Apex Learning. Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Actuarial Science expertise and essential knowledge, which will assist you in reaching your goal. Curriculum: Module 01: Auditing as a Form of Assurance Module 02: Internal Audit Procedures Module 03: Technology-based Internal Audit Module 04: Internal Control and Control Risk Module 05: Audit Interviews Module 06: Reporting Audit Outcome Module 07: UK Internal Audit Standards Module 08: Career as an Auditor CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Actuarial Science bundle. Requirements This Actuarial Science course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Internal Audit Training Diploma) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

This course is the fastest way to start applying your basic Golang knowledge in the real-world and learning how projects are actually built. This course has no boring theory, no long introductions, no beating around the bush or wasting time, and just pure coding on the projects and learning from actually doing - not just watching.

Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis

Level 3 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Level 3 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Data-Informed Decision Making in Projects: On-Demand Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects. What You Will Learn At the end of this program, you will be able to: Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects Articulate analytical questions to focus on the real problems Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them Introduction to Data-Informed Decision Making The different types of decisions in projects Data-informed decision-making framework Shortcomings with traditional decision-making models Understanding the value of data for project delivery Issues in project management and how data can help solve them The DIKW Pyramid (Data, information, knowledge, wisdom) Types of data in projects Applying Data Analytics Understanding Data Analytics Levels of Data Analytics Data-Informed vs. Data-Driven Challenges and How to Address Them Project data availability and collection Data quality Behavioral blockers and bias Skills and Techniques Data literacy and data fluency Communicating for informed decision-making Monitoring and evaluating project decisions Implementing Data-Informed Decision Making Decision-making strategy and governance Project data culture Continuously improving decision quality Future Outlook for Decision-Making in Projects Data and AI Digital Decisioning