4223 Analyst courses in Stonehaven delivered Online

Course Overview Launch a successful career in the ICT industry with this complete introductory training course. The Understanding ICT: Information and Communication Technology course will teach you everything you need to know to kickstart a promising career in the ICT industry. It covers key topics such as computer systems, networks and databases, hardware and software, and input devices. You will also explore how ICT is applied in the banking and retail sectors, and delve into the world of artificial intelligence. This course is ideal for anyone looking to start a career in this field, including aspiring ICT technicians, data business analysts and service desk engineers. There are no specific entry requirements for this course, which can be studied on a part-time or full-time basis. This best selling Understanding ICT: Information and Communication Technology has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Understanding ICT: Information and Communication Technology is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Understanding ICT: Information and Communication Technology is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Understanding ICT: Information and Communication Technology is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Understanding ICT: Information and Communication Technology, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Understanding ICT: Information and Communication Technology will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Understanding ICT: Information and Communication Technology to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

This advanced course created by data analysts who use Alteryx daily while working with their clients teaches data cleansing and manipulation, working in databases, apps, and macros, and breaks down Alteryx's latest product, Alteryx Intelligence Suite, which includes ML tools that introduce individuals to the world of AI

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

Diploma in Python Programming Course Overview The Diploma in Python Programming offers an in-depth exploration of Python, one of the most versatile and in-demand programming languages. This course is designed to provide learners with a strong foundation in Python, covering essential concepts such as data structures, functions, libraries, and file handling. Learners will gain the skills necessary to write Python code to solve real-world problems, enabling them to create applications, automate tasks, and perform data analysis. By the end of the course, learners will have the practical knowledge to use Python effectively for various programming tasks in both professional and personal settings. Course Description This comprehensive course begins with the basics of Python programming, guiding learners through essential concepts such as syntax, data types, and conditional statements. Learners will progress to more advanced topics, including file handling, data storage structures, and error handling. Key modules like the creation of user functions, working with external libraries, and implementing Python in database management provide valuable skills that can be directly applied in the workplace. This course also covers essential tools such as command prompt usage, Jupyter notebooks, and package management in Python. By the end of the course, learners will have developed the confidence and competence to apply Python across various domains, including software development, data analysis, and system automation. Diploma in Python Programming Curriculum Module 01: Introduction to Python Programming Module 02: Getting Started with Python Module 03: Conditional Branching with Python Module 04: Importing External/Internal Library in Python Module 05: Project Rock Paper and Scissors Module 06: Strings Operation in Python Module 07: Date and Time in Python Module 08: File Handling, Read and Write Using Python Module 09: Data Storage Structures: Tuple, List, and Dictionary Module 10: Writing User Functions in Python Module 11: Sending Mail Module 12: Import Tricks in Python Module 13: Import Operating System and Platform Module 14: Exceptions Handling in Python Module 15: Installing Packages and Scheduling in Python Module 16: Database in Python Using SQLite Module 17: Running Programs from Command Prompt and Jupyter Notebook Module 18: Conclusion (See full curriculum) Who is this course for? Individuals seeking to develop a foundational understanding of Python programming. Professionals aiming to enhance their programming skills for career advancement. Beginners with an interest in software development, data analysis, or automation. Anyone looking to pursue a career in programming or technology. Career Path Software Developer Data Analyst Automation Engineer Python Programmer Database Administrator IT Specialist

Google Ads Training: Turn Profit with PPC Course Overview This Google Ads Training course provides learners with comprehensive insights into running successful Pay-Per-Click (PPC) campaigns using Google Ads. From creating your first Google Ads account to mastering advanced strategies like remarketing and conversion tracking, this course equips you with the essential skills to optimise your campaigns and maximise profitability. With a clear focus on understanding Google Ads’ dynamic system, learners will gain the confidence to structure and refine their ads to attract the right audience, control costs, and drive measurable results. Upon completion, you will be ready to launch, optimise, and scale your own Google Ads campaigns. Course Description The course covers every aspect of Google Ads, starting from the basics, such as account creation and setting up billing, to advanced techniques, including optimising ad structure and bidding strategies. You'll learn how to identify effective keywords, write compelling ads, and use ad extensions to boost visibility. The course delves into account structure, the Google Ads auction dynamics, negative keywords, and remarketing strategies, all crucial for increasing conversion rates. You’ll also explore conversion tracking, ad optimisation, and automated tools like AdWords scripts to speed up performance enhancements. By the end, you'll be proficient in managing Google Ads campaigns that deliver high returns. Google Ads Training: Turn Profit with PPC Curriculum Module 01: Introduction to Google Ads Module 02: Creating and Setting Up Our First Google Ads Account Module 03: Structuring Your Ad Groups Like A Professional Module 04: How To Write Killer Ads in Google Ads! Module 05: Setting Up Your AdWords Billing Module 06: Keywords in Depth - The Heartbeat of Your Account Module 07: Account Structure - How To Structure Ad Groups Like A Pro Module 08: The Incredible Dynamics of the AdWords Auction Module 09: Expanding And Refining Your Campaigns Module 10: Negative Keywords - Your Greatest Ally Module 11: Making Your Ads Unstoppable With Multiple Ad Extensions Module 12: Remarketing – Your Secret Weapon To Converting Like A Boss Module 13: Keeping Track of Profits With Conversion Tracking Module 14: Profitable Bidding Strategies Module 15: Using AdWords Scripts To Enhance Performance and Increase Optimisation Speed Module 16: Conclusion ... Goodbye For Now! Module 17: Bonus Material! (See full curriculum) Who is this course for? Individuals seeking to master Google Ads for business or personal use. Professionals aiming to advance their digital marketing skills. Beginners with an interest in online advertising. Entrepreneurs looking to optimise their ad campaigns. Career Path Digital Marketing Specialist PPC Campaign Manager Google Ads Strategist E-commerce Marketing Manager Paid Media Analyst Online Advertising Consultant

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Dive into the intricate world of deep learning with this sharply focused course on heuristic techniques using R. This programme is designed for learners keen to understand how heuristics shape machine learning models, particularly in deep neural networks. Whether you're brushing up on your algorithmic intuition or delving deeper into optimisation patterns, this course delivers a solid framework rooted in logic, not lingo. With R as your analytical companion, you'll explore neural computation, gradient-based strategies, backpropagation nuances, and heuristic-inspired adjustments that enhance model efficiency. This isn't about flashy tools or inflated claims — it's about getting your mind around how deep learning truly works, one clever calculation at a time. No fluff, no filler — just clear insights and well-paced learning to support your journey through the matrix of machine intelligence. Learning Outcomes: Develop an understanding of experimental design and how it applies to heuristics. Learn how to apply heuristics to real-world problems in the agriculture, cryptocurrency, energy, and financial markets sectors. Understand how to use R programming language for deep learning heuristics. Develop skills in analyzing data sets and creating predictive models. Learn how to implement different heuristics algorithms in R programming. The Essential Training on Deep Learning Heuristic using R is designed to provide students with a comprehensive understanding of heuristics and how they can be applied to various real-world problems. The course covers experimental design, data analysis, and predictive modelling using R programming language. Students will learn about different heuristics algorithms and how to implement them in R to solve complex problems in the agriculture, cryptocurrency, energy, and financial markets sectors. Throughout the course, students will work on various projects that will help them develop practical skills in analyzing data sets and creating predictive models. They will learn how to design experiments, collect and analyse data, and create models that can be used to make predictions. By the end of the course, students will have a strong understanding of heuristics, and deep learning, and how to apply them to solve real-world problems. Essential Training on Deep Learning Heuristic using R Course Curriculum Section 01: Experimental Design - Heuristics Project 1-Agriculture Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies Section 03: Experimental Design: Heuristics Project 3-Energy Sector Section 04: Experimental Design: Heuristics Project 4-Financial Markets How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data scientists who want to learn how to apply deep learning heuristics to solve real-world problems. Programmers who want to learn R programming language for data analysis and predictive modeling. Professionals in the agriculture, cryptocurrency, energy, and financial markets sectors who want to apply heuristics to solve complex problems. Students who want to learn about deep learning heuristics and how they can be applied to real-world problems. Anyone interested in developing practical skills in data analysis and predictive modelling using R programming language. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Deep Learning Engineer: £30,000 - £90,000 AI Researcher: £40,000 - £120,000 Data Scientist: £35,000 - £90,000 Machine Learning Engineer: £40,000 - £100,000 AI Architect: £50,000 - £150,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Agile Release Plans: On-Demand While many Agile frameworks provide guidance on a focus on value and iterative development, many do not explain how that value is delivered to the customer. Release Plans have become an accepted and common practice to bridge the gap between the Product Vision and the Product Backlog (Agile requirements). In this course, you will be provided with an introduction to Agile and to Scrum, the most utilized Agile framework. You will also learn how the Vision, Roadmap, and Charter help to establish the Release Plan. The goal of this course is to equip you with the necessary knowledge, skills, and techniques to build Release Plans to ensure you deliver the most value to your customers. What you will Learn At the end of this program, you will be able to: Recall the Scrum framework elements (roles, events, and artifacts) Examine the benefits of Agile Develop a Product Vision and Roadmap Create an Agile Project Charter Prepare a Release Plan Write user stories to support a Product Backlog Foundation Concepts Introduction to Scrum Scrum Overview Agile Benefits Product Definition Business Goals Product Vision Product Roadmap Agile Project Charter Product Scope Project Risks Release Deadlines Sprint Durations Team Norms Release Planning Release Plan Process Select Stories and a Release Date Product Backlog User stories Building the product backlog Product Backlog Refinement Transitioning to the Scrum Team

CRM: Customer Relationship Management Would you want to learn about various methods for choosing tools and the best ways to keep customers? Our in-depth CRM (Customer Relationship Management) will assist you in expanding your knowledge about the CRM sector. Our CRM (Customer Relationship Management) provides an introduction to Customer Relationship Management (CRM) along with its all functions. Also, the CRM (Customer Relationship Management) explains CRM strategies, and data analysis in CRM and CRM Databases. Moreover, this CRM (Customer Relationship Management) includes difficulties handling processes. Additionally, the CRM (Customer Relationship Management) explain how to deepen the customer relationship and the future of CRM. Enhance your organisational efficiency and maximise business growth through our effective CRM (Customer Relationship Management) practices! Learning Outcome of CRM (Customer Relationship Management) This CRM (Customer Relationship Management) will teach you about: Introduction to CRM (Customer Relationship Management). The CRM (Customer Relationship Management) explains CRM fundamentals. CRM (Customer Relationship Management) also includes CRM strategies. Data analysis in CRM and collecting CRM databases are parts of this CRM (Customer Relationship Management). Through the CRM (Customer Relationship Management), you will learn about deepening customer relationships. Handling customer complaints and the future of CRM is elaborately explained in this CRM (Customer Relationship Management). Special Offers of this CRM: Customer Relationship Management Course This CRM: Customer Relationship Management Course includes a FREE PDF Certificate. Lifetime access to this CRM: Customer Relationship Management Course Instant access to this CRM: Customer Relationship Management Course Get FREE Tutor Support to this CRM: Customer Relationship Management Course CRM: Customer Relationship Management Unlock the full potential of your customer interactions with our CRM: Customer Relationship Management course, offering a comprehensive introduction to CRM strategies and functionalities. This CRM: Customer Relationship Management course guides you through the essentials of CRM, from data analysis to managing CRM databases. Learn how to navigate challenges and streamline processes through the CRM: Customer Relationship Management framework. Moreover, the CRM: Customer Relationship Management course teaches you to deepen customer relationships and explore the future of CRM. Elevate your business and master the art of customer loyalty with our expert-led CRM: Customer Relationship Management program. Who is this course for? CRM: Customer Relationship Management This CRM (Customer Relationship Management) is intended for individuals who wish to enhance their company chances and cultivate solid client connections. Requirements CRM: Customer Relationship Management To enrol in this CRM: Customer Relationship Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our CRM: Customer Relationship Management Course. Be energetic and self-motivated to complete our CRM: Customer Relationship Management Course. Basic computer Skill is required to complete our CRM: Customer Relationship Management Course. If you want to enrol in our CRM: Customer Relationship Management Course, you must be at least 15 years old. Career path CRM: Customer Relationship Management You may work as a manager, customer service manager, CRM analyst, and many other roles after finishing this CRM (Customer Relationship Management)!

Overview This comprehensive course on Financial Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Financial Analysis 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 Financial Analysis. It is available to all students, of all academic backgrounds. Requirements Our Financial Analysis 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 6 sections • 22 lectures • 02:42:00 total length •Financial Statement Analysis Objectives: 00:02:00 •Financial Analysis Methods in Brief: 00:10:00 •Ratio Analysis: 00:05:00 •Gross Profit Operating Margin Ratios: 00:10:00 •Net Profit Expense Control Ratios: 00:05:00 •ClassRoom Discussion for some other expenses: 00:07:00 •Use of Profitability Ratio to Understand Competitive advantage and Business Models: 00:08:00 •Return on Assets and FIxed Assets: 00:11:00 •Return on Capital Employed: 00:08:00 •Case Study Analysis of three telecom companies: 00:15:00 •Cautions for using return ratios on face value: 00:04:00 •Ratios which help to understand how efficiently assets are used: 00:17:00 •How we measure utlisation of assets not recorded in Balance Sheet: 00:09:00 •Liquidity Ratio to understand Risk inherent in companies: 00:05:00 •Long Term Liquidity Ratios: 00:06:00 •Financial Analysis Measure meant to understand efficiency in other operations: 00:04:00 •Summarise - Ratios use for operational analysis: 00:03:00 •Dupont Analysis to understand opportunities in optimising return on equity: 00:04:00 •Detecting Manipulation in accounts - Fake Sales: 00:11:00 •Detecting Manipulation - Wrong Depreciation and others: 00:06:00 •Pricing Decisions: 00:07:00 •How to make Capex Decisions: 00:05:00