341 Courses in Cardiff delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. Additional course details: Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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 Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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.

Course Overview This comprehensive Data Analytics course provides an in-depth exploration of data analysis, covering the essential principles and techniques used to extract valuable insights from data. Learners will engage with core concepts, such as data mining, statistical analysis, and visualisation, enabling them to make informed decisions and drive business outcomes. By the end of the course, participants will have the skills to analyse and interpret data, apply analytical tools effectively, and present their findings clearly. This course equips learners with the necessary tools to understand and leverage data in various professional settings, adding significant value to their career prospects. Course Description The Data Analytics course covers a wide range of topics, including the fundamentals of data analysis, statistical methods, and various data visualisation techniques. Learners will explore essential tools such as Excel and specialised software, while gaining a deep understanding of how to collect, store, and process data effectively. Emphasis is placed on developing the analytical mindset required to interpret data accurately and draw actionable insights. This course is designed to ensure learners can confidently navigate the world of data analytics and apply their knowledge in diverse industries, enhancing their problem-solving and decision-making abilities. Course Modules Module 01: Introduction to the World of Data Module 02: Basics of Data Analytics Module 03: Statistics for Data Analytics Module 04: Actions Taken in the Data Analysis Process Module 05: Gathering the Right Information Module 06: Storing Data Module 07: Data Mining Module 08: Excel for Data Analytics Module 09: Tools for Data Analytics Module 10: Data-Analytic Thinking Module 11: Data Visualisation That Clearly Describes Insights Module 12: Data Visualisation Tools (See full curriculum) Who is this course for? Individuals seeking to enhance their analytical skills for data-driven decision-making. Professionals aiming to transition into data analytics or enhance their data-related roles. Beginners with an interest in understanding data and its applications across industries. Business professionals seeking to leverage data for strategic growth. Career Path Data Analyst Business Intelligence Analyst Data Scientist Market Research Analyst Operations Analyst Financial Analyst Business Analyst Data Visualisation Specialist

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There is so much more to this free tool than just creating PDFs. Learn what else you can do for free. Duration: 2 hours This Adobe Acrobat Reader course looks at the features of the Acrobat Reader tool. Learn how to create PDF and what options you have, complete and sign and mark up PDFs. Objectives  By the end of the course you will be able to: Create PDFs from other tools Complete and sign documents Mark up PDF documents Content Creating PDFs Building PDF documents from Word, Excel and PowerPoint Working in Acrobat Home, Tools and Document Views Using the Navigation Panel and Pane Floating toolbar and Contextual menus Completing and signing documents Using fill and sign to complete forms Adding signatures Marking up documents Marking up changes Using sticky notes Using the highlighter pen Adding stamps Attaching documents and audio

Course Overview: This course provides a comprehensive introduction to the field of renewable energy, focusing on solar energy systems. Learners will explore the fundamentals of solar power, including system components, design, and application. With a practical approach, the course offers insights into both off-grid and on-grid systems, solar water pumping, and system protection. The course equips learners with essential skills for designing and optimising photovoltaic (PV) systems using industry-standard software like PVSyst, MATLAB, and ETAP. Upon completion, participants will be able to contribute to renewable energy projects, enhance their career prospects in the solar energy sector, and implement solar systems with a deeper understanding of the technological and environmental impacts. Course Description: This course delves into the key aspects of solar energy systems, offering a clear overview of essential topics such as solar panel components, battery storage, system design, and optimisation. Learners will gain in-depth knowledge of off-grid and on-grid solar energy systems, solar water pumping, and system protection. The course incorporates theoretical knowledge and system design techniques using industry-standard tools, including PVSyst, MATLAB, and ETAP. Additionally, students will learn how to design and simulate PV systems, as well as the design of system diagrams using Excel. By the end of this course, learners will have acquired the skills to confidently design and optimise solar energy systems for a range of applications, contributing to the growing renewable energy sector and ensuring sustainable energy solutions. Course Modules: Module 01: Basics of Solar Energy System Module 02: Batteries in PV System Module 03: Components and Design of Off Grid Solar Energy System Module 04: Designing of ON Grid Solar Energy System Module 05: Design of PV System Using PVSyst Programme Module 06: Solar Water Pumping System Module 07: Protection of PV System Module 08: Design Using Excel Sheet Module 09: Single Line Diagram of PV System Module 10: MATLAB and ETAP PV Simulation (See full curriculum) Who is this course for? Individuals seeking to enter the renewable energy sector. Professionals aiming to develop expertise in solar energy system design. Beginners with an interest in sustainable energy solutions. Engineers or technicians looking to broaden their knowledge of solar energy applications. Career Path Solar Energy System Designer Renewable Energy Consultant Solar Power Technician Project Manager in Renewable Energy Energy Analyst Sustainability Specialist

Duration 1 Days 6 CPD hours This course is intended for This course is intended for business users and knowledge workers in a variety of roles and fields who have competence in a desktop-based installation of the Microsoft Office 2010 or 2013 edition of the Microsoft Office productivity suite, and who are now extending Microsoft Office to a collaborative cloud-based Office 365 environment. Overview In this course, you will build upon your knowledge of the Microsoft Office desktop application suite to work productively in the cloud-based Microsoft Office 365 environment.You will:- Sign in, navigate, and identify components of the Office 365 environment.- Create, edit, and share documents with team members using Word Online, Excel Online, PowerPoint Online, and Microsoft SharePoint.- Collaborate and work with colleagues using the Team, Planner, and Yammer apps.- Use email and manage contacts with Outlook on the web.- Use instant messaging with Skype for Business.- Conduct online meetings with Skype for Business. This course is an introduction to Microsoft© Office 365© with Skype© for Business in a cloud-based environment. It can be used as an orientation to the full suite of Office 365 cloud-based tools, or the Skype for Business lessons can be presented separately in a seminar-length presentation with the remaining material available for later student reference. Getting Started Sign In to Office 365 Navigate the Office 365 Environment Collaborating with Shared Files Work with Shared Documents in SharePoint Edit Documents in Office Online Collaborate on the SharePoint Site Work with OneDrive for Business and Delve Using Productivity Apps Work with Productivity Apps in Combination Broadcast Messages with Yammer Collaborate with the Teams App Manage Tasks with the Planner App Using Outlook on the Web Send and Receive Email Manage Contacts Schedule Appointments Personalize Outlook on the Web Communicating with Skype for Business Overview of Skype for Business Use Instant Messaging Make Voice and Video Calls Using Skype for Business Meetings Initiate Meetings Use Meeting Controls and Options Customize Skype for Business Additional course details: Nexus Humans Office 365 Web Apps (with Skype for Business) 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 Office 365 Web Apps (with Skype for Business) 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.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for business users and knowledge workers in a variety of roles and fields who have competence in a desktop-based installation of Microsoft Office, and who are now extending Microsoft 365 to a collaborative cloud-based environment. Overview In this course, you will work productively in the Microsoft 365 cloud-based environment. You will: Navigate Microsoft 365 and integrate the online apps. Use Microsoft Outlook on the Web. Use Microsoft Teams on the web. Store documents in SharePoint, OneDrive, and Teams. Work with files online. This course is an introduction to Microsoft 365 in a cloud-based environment. Using the Microsoft 365 suite of productivity apps online, users can easily communicate and collaborate through Microsoft Teams messaging and meeting functionality and Outlook email. When you create a team, the Microsoft SharePoint team site provides a central storage location for accessing and modifying shared documents. Each user also receives individual document storage through OneDrive for Business. Teams can provide a central hub for working with shared documents in the familiar apps?Word, PowerPoint, and Excel?as an alternative to installing the Microsoft 365 Desktop applications. Getting Started with Microsoft 365 for the Web Topic A:ÿSign In to Microsoft 365 Online Topic B:ÿNavigate the Microsoft 365 Web Environment Topic C:ÿIntegrate the Microsoft 365 Web Apps Using Outlook on the Web Topic A:ÿSend and Receive Email on the Web Topic B:ÿAccess the Outlook Calendar Online Using Teams on the Web Topic A:ÿAccess Teams Features Topic B:ÿCreate and Configure Teams and Channels Topic C:ÿChat and Post in Teams Topic D:ÿCall and Meet in Teams Storing Documents on the Web Topic A:ÿOrganize Documents in SharePoint Topic B:ÿOrganize Documents in OneDrive Topic C:ÿWork with Documents in Teams Topic D:ÿSelect a File Storage Location Working with Files Online Topic A:ÿEdit Documents in Microsoft 365 Online Topic B:ÿCollaborate on Files Online Topic C:ÿFind Shared Resources Online Additional course details: Nexus Humans Microsoft 365 for the Web (with Teams, SharePoint, and OneDrive) v3.0 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 Microsoft 365 for the Web (with Teams, SharePoint, and OneDrive) v3.0 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.

Duration 2.75 Days 16.5 CPD hours This course is intended for Complete beginners who have never programmed before to experienced developers coming from another programming language. Overview You will learn how to leverage the power of Python to solve tasks. You will build games and programs that use Python libraries. You will be able to use Python for your own work problems or personal projects. You will create a portfolio of Python based projects you can share. Learn to use Python professionally, learning both Python 2 and Python 3! Create games with Python, like Tic Tac Toe and Blackjack! Learn advanced Python features, like the collections module and how to work with timestamps! Learn to use Object Oriented Programming with classes! Understand complex topics, like decorators. Understand how to use both the Jupyter Notebook and create .py files Get an understanding of how to create GUIs in the Jupyter Notebook system! Build a complete understanding of Python from the ground up! Our Introduction to Python course is designed to take complete beginners or experienced developers up to speed on Python?s capabilities, setting up students for success in using Python for their specific field of expertise. Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3. Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, scraping websites for information, working with image files, and much more! This course will teach you Python in a practical manner and provides a full coding screencast and a corresponding code notebook to review the concepts and exercises conducted in class. Please note, this course is able to be offered in either 3 full day sessions or 5 partial day sessions. See the schedule below. This course includes 6-months access to the full course content in on-demand format to support post-class reference and review. Command Line Basics Python System Setup Jupyter Notebooks Python Data Types Key Data Structures Logic and Control Flow Functions Debugging Modules Object Oriented Programming File I/O Testing Decorators Generators Automation of Tasks Web Scraping Graphical User Interfaces Additional course details: Nexus Humans Introduction to Python 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 Introduction to Python 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.

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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.

Course Overview The Business Leadership course is designed to empower aspiring and existing leaders with the core competencies required to thrive in dynamic business environments. Through a structured and comprehensive learning journey, this course equips learners with strategic insights into management functions, leadership styles, organisational development, and performance enhancement. It explores key areas such as emotional intelligence, talent management, and ethical decision-making, while also covering communication, conflict resolution, and risk management. Whether you are aiming to lead teams, shape organisational direction, or drive change, this course delivers a strong foundation in leadership theory and practice. Learners will benefit from a thorough understanding of leadership frameworks that are essential for influencing, inspiring, and navigating complex workplace challenges. Upon completion, learners will be well-positioned to step into leadership roles or enhance their contribution to existing roles with confidence and clarity. Course Description This course delves into the essential components of effective business leadership by blending leadership theory with key managerial disciplines. Learners will explore leadership styles, employee motivation strategies, and succession planning, alongside modules on communication skills and managing meetings. Additional topics such as negotiation, conflict management, stress handling, and emotional intelligence provide a holistic perspective on leadership responsibilities. The course also examines organisational skills, risk management, and corporate responsibility—offering learners a solid grasp of strategic and ethical leadership. With practical knowledge of Microsoft Word, Excel, and PowerPoint integrated into the curriculum, learners will also gain competence in using essential tools for business documentation and presentations. Ideal for professionals looking to refine their leadership approach or aspiring individuals preparing for management roles, this course delivers comprehensive guidance on how to lead effectively and ethically across a range of business contexts. Course Modules: Module 01: Understanding Management and Leadership Module 02: Leadership Theories Module 03: Improving Management and Leadership Performance Module 04: High Performance Teams Module 05: Motivating Employees Module 06: Organisational Skills Module 07: Talent Management Module 08: Succession Planning Module 09: Business Process Management Module 10: Communication Skills Module 11: Negotiation Techniques Module 12: Managing Meetings and Giving Feedback Module 13: Managing Change Module 14: Time Management Module 15: Stress Management Module 16: Emotional Intelligence in Leadership Module 17: Managing Conflict Module 18: Dealing with Office Politics Module 19: Risk Management Module 20: Corporate Responsibility and Ethics Module 21: Microsoft Word, Excel, PowerPoint (See full curriculum) Who is this course for? Individuals seeking to build leadership capabilities for organisational roles. Professionals aiming to progress into managerial or executive positions. Beginners with an interest in leadership, team management, or business strategy. Entrepreneurs or business owners wanting to lead teams more effectively. Career Path Team Leader Department Manager Operations Supervisor Project Coordinator Human Resources Officer Business Consultant Organisational Development Executive Corporate Trainer