6234 Courses in Cardiff delivered Online

Time Management Training Course Overview: Time Management Training - Online Course equips learners with essential skills to effectively manage their time, leading to greater productivity and reduced stress. This course delves into the strategies, techniques, and mindset needed to optimise time usage across personal and professional life. Through a series of engaging modules, learners will understand how to identify priorities, overcome procrastination, set actionable goals, and minimise time-wasting habits. By the end of the course, learners will gain practical tools to manage their time better, enhance focus, and improve overall efficiency. Course Description: In this course, learners will explore the significance of time management, including its impact on work performance and personal life. The course covers a comprehensive range of topics, starting with assessing current work practices and identifying key priorities. Learners will gain valuable insights on overcoming procrastination, setting clear goals, and developing effective time management plans. Advanced modules provide techniques for combating distractions and maintaining productivity, even in creative or unpredictable work environments. This course offers valuable strategies that can be applied immediately, supporting career growth and improving work-life balance. Time Management Training Curriculum: Module 01: Importance and Benefits of Time Management Module 02: Assess Your Current Work Practice Module 03: Identifying the Priorities Module 04: Say ‘No’ to Procrastination Module 05: Set Your Goals Module 06: Plan the Work Module 07: Work the Plan Module 08: Effective Time Management Techniques Module 09: Combat the Time Wasters Module 10: Time Management for Creative Work Module 11: The Art of Anticipating Module 12: Avoid Time Leaks (See full curriculum) Who is this course for? Individuals seeking to improve their productivity and work efficiency. Professionals aiming to enhance their time management skills for career advancement. Beginners with an interest in developing better organisational habits. Anyone looking to reduce stress and gain control over their daily schedule. Career Path: Project Manager Administrative Assistant Operations Manager Executive Assistant Personal Assistant Entrepreneur Team Leader

The Principles of Ethical Leadership Course Overview The Principles of Ethical Leadership course provides learners with a comprehensive understanding of ethical leadership and its vital role in fostering trust and integrity within organisations. It covers key concepts such as leadership and followership, ethical decision-making, and the influence of leadership on organisational culture. Learners will explore the significance of ethical leadership at various levels, from individual teams to entire organisations, and develop the skills necessary to lead with integrity in diverse professional contexts. This course offers practical value by equipping learners with the tools needed to create ethical environments, ensuring both personal and organisational success. Course Description This course delves into the fundamental principles that guide ethical leadership in today's dynamic work environments. Learners will explore the relationship between leadership, followership, and the ethical context within organisations. Key topics include ethical decision-making processes, leadership styles that promote ethical behaviour, and the influence of leaders on team dynamics. Learners will also gain insights into the broader implications of ethical leadership within organisations and society. By the end of the course, participants will have developed a robust understanding of ethical leadership strategies and how to apply them to enhance organisational culture and performance. The course uses a combination of theoretical frameworks, case studies, and reflective exercises to offer a rich learning experience, fostering both intellectual and professional growth. The Principles of Ethical Leadership Curriculum Module 01: The Principles of Ethical Leadership Module 02: Leadership, Followership and Ethical Context Module 03: Ethical Leadership Module 04: Ethical Team Leadership Module 05: Ethical Leadership of an Organization Module 06: Ethical Leadership in the World (See full curriculum) Who is this course for? Individuals seeking to enhance their leadership capabilities. Professionals aiming to cultivate an ethical culture within their teams. Beginners with an interest in ethical leadership and organisational behaviour. Leaders looking to deepen their understanding of ethical decision-making in the workplace. Career Path Ethics Officer Leadership Consultant Organisational Development Specialist Corporate Social Responsibility Manager HR and People Development Manager Executive Leadership Roles

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

This short selection of information pages is designed to support the Neuro-Informed workshop held on 8/3/24 by providing more detail and understanding of how breath work affects the brain. 

Power Query and Power Pivot in Microsoft Excel:  A Quickstart Guide   Course Description   Copyright Ross Maynard 2022   Course Description Power Query and Power Pivot are two tools available in Microsoft Excel. If you are serious about data analysis, then you need to know how to use these tools. This Quickstart guide will give you the skills you need to get started with these powerful features. The Power Query tool allows you to import external data and then modify it to meet your needs, before loading it into Excel. These editing tasks are all things you can do manually in Excel, but Power Query greatly speeds things up when you have a large volume of data. The Power Pivot tool allows you to connect multiple data tables in an extended pivot table. Power Pivot also introduces new analysis and query tools to further enhance data analysis. If data analysis is your thing, then this course will help you get up to speed with these feature-filled tools. Through screen-capture video, the course provides a step-by-step guide to the foundation skills needed to use both Power Query and Power Pivot effectively. The course is designed to make your first steps into Power Query easy and to build your confidence to use them on your own. Both Power Query and Power Pivot are also available in Microsoft Power BI – the data visualisation suite. Once you have learned how to use Power Query and Power Pivot in Excel with this course, you’ll have a head start in getting to grips with Power BI Get up to speed with Power Query and Power Pivot in Microsoft Excel with this Quickstart guide.     Key Learning Points  On completion of the course, delegates will be able to: Use Power Query to load data from an external source into Microsoft Excel Clean and manipulate external data before loading it into Excel Consolidate separate files with Power Query Update Excel tables with new data in the same format Use Power Query to “unpivot” report tables to prepare the data for analysis Explain the core functionality of Power Pivot Link data tables together in the Power Pivot data model Create pivot tables that draw data from several source data tables Create performance measures and new analysis in the Power Pivot data model Use the most popular DAX query language functions in Power Pivot     Curriculum Lesson 1: Power Query Quickstart Lesson 2: Consolidating Files with Power Query Lesson 3: Unpivoting a Table Lesson 4: Power Pivot Quickstart Lesson 5: Power Pivot – Adding Data and Functionality Lesson 6: Key DAX Functions for Power Pivot Lesson 7: The DAX CALCULATE Function Lesson 8: Key Learning Points     Pre-Course Requirements There are no pre-course requirements     Additional Resources Starter spreadsheets for each lesson are provided so that learners can follow the steps presented.     Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in business processes and organisation development. Ross is also a professional author of online training courses. Ross lives in Scotland with his wife, daughter and Cocker Spaniel     Questions What is the main feature of Power Query? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     What is the main feature of Power Pivot? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     Which of the following actions cannot be performed within Power Query? Split text into multiple columns Trimming text and removing spaces Creating calculated columns using DAX functions Make date based calculations   Which of the following statements is true? You can use Power Query to combine files that have the same format and open them all in the same spreadsheet You can use Power Query to link data tables and create pivot tables that pull data items from all the linked tables You can use Power Query to create interactive dashboard reports You can use Power Query to export data files to Microsoft Access and other databases     Which of the following provides a compelling case to use Power Pivot in Microsoft Excel? The data visualisation and presentation features of Power Pivot are much more powerful than those in Excel Power Pivot offers the ability to clean large files of data imported from other systems quickly Existing reports and tables can be “reverse engineered” (unpivoted) to create data tables for more advanced analysis Files sizes in Power Pivot are smaller than in Excel and there is no limit on the number of rows of data that can be stored. This makes it much faster and more efficient to use Power Pivot for large data sets     Power Pivot uses analysis functions from the DAX formula language. What does “DAX” stand for? Digital Architecture Extraction Data Arbitrage Extrapolation Display Analytics Extension Data Analysis Expressions Deeply Annoying Exercise   The DAX CALCULATE function is one of the most powerful and useful functions available in Power Pivot. Which statement best describes it? It performs row by row calculations defined by the user and adds the total of them all together for a specified table It performs row by row calculations defined by the user and displays the maximum result for a specified table It performs a defined calculation and then applies filters specified by the user It filters the data in a specified table according to criteria set by the user   As well as in Power Pivot in Microsoft Excel, in what application are DAX functions also available? Microsoft PowerPoint Microsoft Forms Microsoft Teams Microsoft Power BI   How do DAX functions differ from Microsoft Excel functions? DAX functions are designed specifically for use with SQL based data sources DAX functions are completely new and provide additional functionality within Microsoft Excel DAX functions never take a cell reference or a range as reference, but instead take a column or table as reference DAX date and time functions return a date as a serial number, whereas Excel date and time functions return a datetime data type  

The aim of this programme is to help attendees create better quality technical documents in an organised and efficient manner. It will give those new to the topic an appreciation of how to approach the task professionally whilst those with more experience will be able to refresh and refine their skills. The programme comprises three complementary one-day modules: The programme presents a structured methodology for creating technical documents and provides a range of practical techniques that help delegates put principles into practice. Although not essential, it is strongly advised that delegates for modules 2 and 3 have already attended module 1, or another equivalent course. Note: the content of each module as shown here is purely indicative and can be adapted to suit your particular requirements. This course will: Explain the qualities and benefits of well written technical documents Present a structured approach for producing technical documents Review the essential skills of effective technical writing Demonstrate practical methods to help create better documents Provide tools and techniques for specification and report writing Review how technical documents should be issued and controlled Note: the content of each module as shown here is purely indicative and can be adapted to suit your particular requirements. Module 1: Essential skills for technical writers 1 Introduction to the programme Aims and objectives of the module Introductions and interests of participants 2 Creating effective technical documents What is technical writing? how does it differ from other writing? Key qualities of an effective technical document Communication essentials and the challenges faced by technical writers The lessons of experience: how the best writers write The five key steps : prepare - organise - write - edit - release (POWER) 3 Preparing to write Defining the document aims and objectives; choosing the title Understanding technical readers and their needs Getting organised; planning and managing the process Integrating technical and commercial elements The role of intellectual property rights (IPR), eg, copyright 4 Organising the content The vital role of structure in technical documents Deciding what to include and how to organise the information Categorising information: introductory, key and supporting Tools and techniques for scoping and structuring the document Creating and using document templates - pro's and con's 5 Writing the document Avoiding 'blinding them with science': the qualities of clear writing Problem words and words that confuse; building and using a glossary Using sentence structure and punctuation to best effect Understanding the impact of style, format and appearance Avoiding common causes of ambiguity; being concise and ensuring clarity Using diagrams and other graphics; avoiding potential pitfalls 6 Editing and releasing the document Why editing is difficult; developing a personal editing strategy Some useful editing tools and techniques Key requirements for document issue and control Module 2: Creating better specifications 1 Introduction Aims and objectives of the day Introductions and interests of participants The 'POWER' writing process for specifications 2 Creating better specifications The role and characteristics of an effective specification Specifications and contracts; the legal role of specifications Deciding how to specify; understanding functional and design requirements Developing the specification design; applying the principles of BS 7373 Getting organised: the key stages in compiling an effective specification 3 Preparing to write a specification Defining the scope of the specification; deciding what to include and what not Scoping techniques: scope maps, check lists, structured brainstorming The why/what/how pyramid; establishing and understanding requirements Clarifying priorities; separating needs and desires: the MoSCoW method Useful quantitative techniques: cost benefit analysis, QFD, Pareto analysis Dealing with requirements that are difficult to quantify 4 Organising the content The role of structure in specifications Typical contents and layout for a specification What goes where: introductory, key and supporting sections Creating and using model forms: the sections and sub sections Detailed contents of each sub-section Exercise: applying the tools and techniques 5 Writing the specification Identifying and understanding the specification reader Key words: will, shall, must; building and using a glossary Writing performance targets that are clear and unambiguous Choosing and using graphics Exercise: writing a specification 6 Editing and releasing the document Key editing issues for specifications Issue and control of specifications Module 3: Writing better reports 1 Introduction Aims and objectives of the day Introductions and interests of participants The 'POWER' technical writing process for technical reports 2 Creating better reports What is a technical report? types and formats of report The role and characteristics of an effective technical report Understanding technical report readers and their needs The commercial role and impact of technical reports Getting organised: the key stages in compiling a technical report 3 Preparing to write reports Agreeing the terms of reference; defining aims and objectives Being clear about constraints; defining what is not to be included Legal aspects and intellectual property rights (IPR) for reports Preparing the ground; gathering information and reference documents Keeping track of information: note making, cataloguing and cross referencing Tools and techniques for developing a valid and convincing argument 4 Organising the content The role of structure reviewed; some typical report structures Who needs what: identifying the varied needs of the readership What goes where: introductory, key and supporting sections Creating and using model forms: the sections and sub sections Detailed contents of each sub-section Exercise: applying the tools and techniques 5 Writing the report Planning the storyline: the report as a journey in understanding Recognising assumptions about the reader; what they do and don't know Converting complex concepts into understandable statements Presenting technical data and its analysis; the role of graphics Presenting the case simply whilst maintaining technical integrity Exercise: writing a technical report 6 Editing and releasing the report Key editing issues for technical reports Issue and control of technical reports

Mastering financial analysis is no longer a luxury; it’s a necessity for anyone aiming to interpret numbers with confidence and clarity. This CPD accredited course is designed to take you through the essential techniques of analysing financial statements, evaluating business performance, and understanding key financial metrics. Whether you’re looking to refine your decision-making or boost your financial literacy, this course delivers straightforward, insightful guidance tailored to your pace. Dive into the world of ratios, forecasts, and trends without any fuss or jargon. The content is crafted to keep you engaged while sharpening your ability to scrutinise financial data critically. Ideal for professionals across sectors, this course offers a clear path to enhancing your financial acumen — all from the comfort of your own space. Prepare to see numbers in a new light, equipped with knowledge that’s both practical and immediately useful for business or personal growth. Key features Free PDF Certificate Free Retake Exam Lifetime Access Course Curriculum of Financial Analysis: Module 01: The Concept of Financial Controller Module 02: Financial Statement Module 03: Financial Analysis Module 04: Ratio Analysis Module 05: Planning, Budgeting and Forecasting Module 06: Budgetary Control Module 07: Internal Control and Cash Module 08: Strategic Management Decision Module 09: Financial Audit Course Assessment of Financial Analysis You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Financial Analysis - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Financial Analysis - CPD Accredited training is ideal for: Financial Analysts Investment Bankers Corporate Finance Professionals Accounting Professionals Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Financial Analysis - CPD Accredited training. Financial Analysts: £37,000 per year. Investment Bankers: £75,000 per year. Corporate Finance Professionals: £55,000 per year. Accounting Professionals Certificates Certificate of completion Digital certificate - Included Free PDF Certificate Certificate of completion Hard copy certificate - Included Shipping Cost: £3.99 for Hardcopy Certificate only

The App Development for Entrepreneurs Mini Bundle is your launchpad into the fast-moving world of startup tech. Whether you're preparing to lead your own development team, build your MVP from scratch, or simply want to become hireable in the startup ecosystem, this bundle is designed for entrepreneurs who demand results. With a laser focus on Python, UX, Go Lang, CSS, and Project Management, this bundle is tailored to make your CV stand out in tech incubators, venture-backed startups, and agile development environments. Description In today’s digital age, the ability to develop, manage, and scale apps is a core business asset. Entrepreneurs need more than just ideas—they need the technical literacy to turn those ideas into reality. With this bundle, you’ll gain critical exposure to Python, the most widely used language in modern app development. With Python, you're not just learning to code—you're gaining a universally respected tool for solving real business problems. Good ideas are useless without execution, and execution lives and dies by user experience. That’s why UX appears throughout the bundle. Strong UX design means the difference between a product people abandon and a product people love. UX is also a powerful hiring asset, with thousands of employers actively recruiting candidates who understand the full lifecycle of customer-first design. To compete with modern microservice architectures, you’ll see Go Lang play a significant role in your learning journey. Go Lang offers speed, simplicity, and performance, making it a top skill for scale-oriented startups. The demand for Go Lang developers continues to rise, particularly in API-heavy ecosystems and back-end heavy MVPs. You’ll also explore CSS as a core front-end styling language. Whether you’re styling buttons, cards, or full layouts, CSS proficiency ensures your vision looks as good as it works. CSS continues to appear in job descriptions across web and mobile roles. Finally, no entrepreneurial skillset is complete without Project Management. Building apps isn’t just technical—it’s organizational. Employers and co-founders alike prize team leads with Project Management expertise. With Project Management skills, you're not just writing code—you’re delivering complete, scalable solutions. Don’t wait to be outpaced. Use this chance to gain serious credibility in Python, UX, Go Lang, CSS, and Project Management—all in one hireable, value-packed bundle. FAQ Q: Who is this bundle for? A: Entrepreneurs, startup founders, career changers, and developers aiming to lead product teams or pitch MVPs will benefit most. It’s tailored to those who want real-world credibility in Python, UX, Go Lang, CSS, and Project Management. Q: What kind of jobs could this lead to? A: This bundle helps you pursue roles such as App Developer, Product Owner, Technical Co-founder, UX Consultant, and Startup Project Manager—roles where Python, UX, Go Lang, CSS, and Project Management are not just preferred, but essential. Q: Is now the right time to take this bundle? A: If you’re waiting, so are your competitors. Python, UX, Go Lang, CSS, and Project Management skills are hiring gold. The market is moving fast—don't get left behind.

Register on the Global Project Management today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Global Project Management course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get Out Of Studying Global Project Management With Janets Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Description The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Method of Assessment To successfully complete the Global Project Management course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the Global Project Management course. After successfully passing the Global Project Management course exam, you will be able to apply for a CPD-accredited certificate as proof of your Global Project Management qualification. Certification All students who successfully complete the Global Project Management course can instantly download their digital certificate. You can also purchase a hard copy of the Global Project Management course certificate, which will be delivered by post for £9.99. Who Is This Course For The Global Project Management is ideal for those who already work in this sector or are an aspiring professional. This Global Project Management course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements The Global Project Management is open to all students and has no formal entry requirements. To study the Global Project Management course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Career Path The Global Project Management is ideal for anyone who wants to pursue their dream career in a relevant industry. Learn the skills you need to boost your CV and go after the job you want. Complete the Global Project Management and gain an industry-recognised qualification that will help you excel in finding your ideal job.

Build 9 projects to master 2 essential and modern technologies: Python and PostgreSQL