1233 Communication courses delivered Live Online

Basic Chinese ABC Course Overview This course is designed for anyone looking to start their journey with the Chinese language, providing a solid foundation in basic vocabulary, pronunciation, grammar, and writing. Through a series of engaging modules, learners will explore the key components of the Chinese language and its unique systems. By the end of the course, learners will be equipped with the essential skills to read, write, and speak basic Chinese, opening the door to further studies or enhancing career prospects in an increasingly globalised world. Course Description In this course, learners will dive into the fundamentals of the Chinese language, starting with Pinyin, the pronunciation system, and progressing to grammar, sentence structure, and the writing system. Modules cover important topics such as the structure of the language, the significance of characters, and effective strategies for mastering the tones of Chinese. Learners will gain a comprehensive understanding of how Chinese is structured, alongside tips for improving fluency. With clear explanations and engaging content, the course is ideal for beginners seeking to build a strong language foundation. Basic Chinese ABC Curriculum Module 01: Chinese is Easy, Let's begin to talk Module 02: The Big Picture of Chinese Language Module 03: Chinese is a game, a LEGOOOOO game Module 04: Pinyin (Pronunciation System, "Spell Sound" literally) Module 05: Grammar Module 06: The Writing System Module 07: Your Next Step to your Mandarin learning journey smooth and FUN! Module 08: Resource (See full curriculum) Who is this course for? Individuals seeking to learn the basics of Chinese. Professionals aiming to enhance their language skills for global communication. Beginners with an interest in Chinese language and culture. Those planning to travel or work in Chinese-speaking countries. Career Path Mandarin Language Teacher Translator/Interpreter International Business Professional Travel Consultant Cultural Liaison

Course Overview This comprehensive course in Digital Marketing offers an in-depth exploration of the strategies that define modern online success. From brand positioning and content creation to platform-specific approaches across Facebook, Instagram, and YouTube, this guide covers every key area to help learners thrive in a fast-evolving marketing landscape. You will examine essential digital concepts such as SEO, mobile outreach, and email campaign structuring, all while gaining the strategic mindset needed to implement effective marketing solutions. By the end of this course, learners will have a strong understanding of how to structure marketing plans, reach targeted audiences through various channels, and evaluate digital performance metrics. This course is ideal for those looking to enhance their marketing knowledge, keep up with digital trends, and align themselves with career opportunities in a digitally driven economy. Course Description The course delves into the strategic core of digital marketing, equipping learners with the knowledge to understand consumer behaviour, design impactful campaigns, and master various online platforms. You will begin with the fundamentals before advancing through growth hacking techniques, customer journey mapping, and platform-specific strategies across Facebook, Instagram, Twitter, and more. Topics such as SEO, email communication, content strategy, and mobile marketing are presented with clarity, ensuring learners develop a thorough grasp of marketing logic and campaign planning. This course also explores how to build audience engagement and interpret campaign performance using reliable frameworks. Whether you're aiming to support a brand, manage digital channels, or enhance visibility through marketing strategies, this course offers a structured foundation that meets the demands of today’s digital environment. Course Modules Module 01: Fundamentals of Digital Marketing Module 02: Growth Hacking Module 03: Customer Journey Module 04: Content Marketing Module 05: SEO Module 06: E-Mail Marketing Module 07: Facebook Marketing Module 08: Instagram Marketing Module 09: Twitter Marketing Module 10: YouTube Marketing Module 11: Mobile Marketing (See full curriculum) Who is this course for? Individuals seeking to understand digital marketing strategy from the ground up. Professionals aiming to expand their expertise in multi-channel marketing. Beginners with an interest in online promotion, brand development, or digital outreach. Entrepreneurs, freelancers, and content creators wanting to enhance their marketing knowledge. Career Path Digital Marketing Executive Social Media Manager SEO Specialist Content Marketing Strategist Email Marketing Coordinator Digital Campaign Analyst Brand Engagement Consultant Online Marketing Assistant

Sage Line 50 Accounting / Bookkeeping Training - Fast Track If you're looking to gain competency in the world's most popular bookkeeping software, the Sage 50 Computerised Accounting course will teach everything you need to know, while helping you gain a recognised qualification. This Course is designed to provide individuals from beginner to advanced knowledge of bookkeeping and Sage 50 accounts. It is intended for individuals who aim to improve career prospects and to be able to better financial management and control of business. This course covers Level 1-3 of Sage 50 Bookkeeping/Accounting Training. Every business, no matter how large or small, is required by law to 'keep books'. Therefore, Bookkeepers play a vital role within organisations; ensuring records of individual financial transactions are accurate, orderly, up to date and comprehensive. If you are organised and methodical, like working through documents and enjoy seeing a set of figures add up properly, then bookkeeping is the career for you. What qualification will I gain? You have the choice to gain certification from one of the following awarding bodies. CERTIFICATION FROM SAGE (UK) As Osborne Training is a Sage (UK) Approved training provider, you could gain the following qualifications provided that you book and register for exams and pass the exams successfully: Sage 50c Computerised Accounting Course (Level 1) Sage 50c Computerised Accounting Course (Level 2) Sage 50c Computerised Accounting Course (Level 3) Level 1 Working with Sage 50 Accounts Program Basics. Creating Account names, Numbers & Bank Payments Financials Bank Reconciliations Generating Customers Invoices Monitoring Customer Activity Generating Product Invoices & Credit Notes Compiling & Sending Customer Statements Creating Customer Receipts & Purchase Invoices Supplier Payments Managing Recurring Entries Generating Reports & Information The Active Set-Up Wizard VAT Changes. Level 2 An overview of the Sage program Entering opening balances, preparing and printing a trial balance Creating customer records Creating supplier records Setting up opening assets, liabilities and capital balances, Producing routine reports Checking data, Entering supplier invoices Posting error corrections, amending records Invoicing, generating customer letters, entering new products, checking communication history Banking and payments, producing statements, petty cash Audit trails, correcting basic entry errors, reconciling debtors and creditors Creating sales credit notes, Processing purchase credit notes Preparing journals Verifying Audit Trail Purchase orders, processing sales orders Processing Trial Balance Creating Backups Restoring data Writing-off bad debts Level 3 Creating a Chart of Accounts to Suit Company Requirements Sole Trader Accounts preparation The Trial Balance preparation Errors in the Trial Balance Disputed Items Use of the Journal Prepare and Process Month End Routine Contra Entries The Government Gateway and VAT Returns Bad Debts and Provision for Doubtful Debts Prepare and Produce Final Accounts Management Information Reports Making Decisions with Reports Using Sage The Fixed Asset Register and Depreciation Accruals and Prepayments Cash Flow and Forecast Reports Advanced Credit Control

Introduction to AI for Business

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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 4 Days 24 CPD hours This course is intended for This is an intermediate course for individuals responsible for developing and implementing effective storage management techniques. Overview Establish a DFSMS configuration to automatically enforce your installation's storage management policies Convert service level requirements into appropriate parameters for data class, storage class, management class, and storage groups Create and test Automatic Class Selection (ACS) routines Convert volumes and move data to system-managed volumes with DFSMS Data Set Services (DFSMSdss) Specify appropriate management class and storage group parameters for DFSMS Hierarchical Storage Management (DFSMShsm) processing of system-managed data sets Plan to maintain your DFSMS environment using Naviquest Establish procedures to control, manage, and recover the storage management subsystem with ISMF and operator commands Develop a DFSMS implementation plan In this course you will learn how to plan and implement DFSMS and learn how to manage temporary and permanent data sets with an emphasis on disk storage. Course introduction and DFSMS overview Specify the storage administration functions that can be automatically performed by the system Identify the types of data set services that need to be established by negotiating service level agreements Correlate data set service requirements to the SMS configuration components: data class, storage class, management class, storage group, and automatic class selection routines Activating SMS Identify the functions eligible for exploitation with the installation of DFSMS Data Facility Product (DFSMSdfp) and the activation of SMS Create SMS control data sets Code SYS1.PARMLIB operands necessary to bring up SMS Create a minimal configuration Activate a configuration Writing ACS routines Identify the purpose of the ACS routines Develop an understanding of the statements Differentiate between literals and masks Describe the read variables available in the ACS routines Managing temporary data sets Create/alter storage classes and storage groups Identify steps to install and use the starter set Write ACS routines to handle temporary data sets Activate a system to manage temporary data sets Code commands to change volume/group SMS status Issue operator commands to display current status Exploiting DFSMS Describe the purpose of the data class Identify the features that the data class can exploit Create data sets using the space parameter Define Virtual Storage Access Method (VSAM) and volume attributes for data class Identify special data sets and their exploitation through the data class Managing permanent data sets Create/alter data classes, storage classes, management classes, and storage groups Translate current (DFSMShsm) service level agreements to management class parameters Identify alternatives and concerns for standard naming conventions Establish the controls for automatic backup of data sets Establish the controls for automatic volume dump Write ACS routines to manage permanent data Create a configuration that manages permanent data sets Create a new managed data set Identify function of storage class exit provided by Custom-Built Installation Process Offering (CBIPO) and resulting System Management Facility (SMF) records Using Naviquest Create test cases using Naviquest Perform storage administration tasks in batch Create online DFSMS reports Create model commands using Naviquest Use the COPYFILT macro Device preparation and data movement Initialize volumes as system-managed Move data into/out from system-managed control Convert volumes to/from system-managed Move data to utilize new hardware capabilities Controlling DFSMS Code commands to change SMS volume/group status Issue commands to save configurations and use alternate Active Control Data Set (ACDS) Issue command to use alternate Communication Data Set (COMMDS) Issue VARY SMS commands Communicate with the security administrator about storage management requirements Additional considerations Establish a plan for implementing SMS Locate sources of implementation planning checklists Identify the tools available to document the current system Identify multiple site considerations for recovery and exploitation Additional course details: Nexus Humans SS84 IBM DFSMS Implementation 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 SS84 IBM DFSMS Implementation 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.

A professional for direct customer support within all sectors and organisation types.

Course Overview Autism Training is designed to provide a comprehensive understanding of Autism Spectrum Disorder (ASD), equipping learners with the knowledge to support individuals across various settings. This course explores the complexities of autism, including learning difficulties, diagnosis procedures, and cognitive approaches. It highlights best practices for engaging and communicating with autistic individuals, promoting inclusivity and empathy. By completing this course, learners will develop a deeper appreciation of the challenges faced by those on the spectrum and gain strategies to foster supportive environments. Whether you work in education, healthcare, social care, or are simply passionate about autism awareness, this training will enhance your professional competence and personal insight. Learners will emerge with a strong foundation in autism awareness, improved communication skills, and the ability to contribute meaningfully to autism-friendly practices. The course ultimately supports both career advancement and personal growth in areas where understanding autism is essential. Course Description This Autism Training course delves into key aspects of Autism Spectrum Disorder, beginning with an overview of its characteristics and associated learning difficulties. Learners will examine the diagnostic process and explore various cognitive approaches that can enhance interaction with autistic individuals. The course also addresses effective strategies for supporting those on the spectrum, alongside important considerations such as sensory needs and behavioural patterns. Engagement in autism awareness initiatives is also encouraged, fostering a broader societal understanding. Throughout the course, learners will engage with informative content designed to build theoretical knowledge and develop essential support skills. The structured modules are crafted to ensure a well-rounded learning experience, catering to different professional and personal objectives. Upon completion, learners will be equipped to apply their understanding across educational, healthcare, and community contexts, making valuable contributions to environments that prioritise inclusion, accessibility, and respect for neurodiversity. Course Modules Module 01: Autism Spectrum Disorder (ASD) Module 02: Learning Difficulties Related to Autism Module 03: Autism Diagnosis Module 04: Cognitive Approaches in Autism Module 05: Dealing with Autistic Individuals Module 06: Other Considerations for Dealing with Autistic Individuals Module 07: Engagement in Autism Awareness (See full curriculum) Who is this course for? Individuals seeking to improve their understanding of autism and support strategies. Professionals aiming to enhance their skills in education, healthcare, or social care. Beginners with an interest in autism awareness and neurodiversity. Volunteers and community workers looking to foster inclusive practices. Family members and caregivers wishing to better support autistic individuals. Career Path Special Educational Needs (SEN) Support Assistant Autism Support Worker Education and Healthcare Specialist Social Care Assistant Community Outreach Worker Inclusion and Diversity Officer Mental Health and Wellbeing Advisor

Freelancing on UpWork Course Overview This course on Freelancing on UpWork provides a comprehensive introduction to successfully launching and growing a freelance career using one of the world’s leading online platforms. Learners will explore essential strategies for creating a compelling profile, identifying suitable jobs, crafting effective proposals, and mastering pricing techniques to secure projects. The course equips individuals with the knowledge to build a strong presence, communicate professionally with clients, and enhance their reputation for sustained freelance success. Upon completion, learners will gain confidence in navigating UpWork’s system and understanding how to optimise their chances of winning contracts, enabling them to establish a reliable freelance income and expand their professional opportunities. Course Description Designed for aspiring freelancers, this course covers every step of engaging with UpWork’s platform effectively. Topics include creating a professional and attractive profile tailored to target clients, understanding how to submit well-crafted proposals that highlight relevant skills, and managing pricing strategies to remain competitive while maximising earnings. Additionally, learners will examine the benefits of account upgrades and how to close sales successfully. The course combines detailed explanations and illustrative examples to enhance understanding and develop key freelancing skills such as client communication, project selection, and reputation management. By the end of the course, participants will be able to confidently manage their freelance projects on UpWork and take control of their career progression within the gig economy. Freelancing on UpWork Curriculum Module 01: Introduction & Overview Module 02: Setting Up Your UpWork Profile Module 03: Submitting Proposals To Jobs Module 04: Pricing, Upgrading & Closing Sales Module 05: Conclusion (See full curriculum) Who is this course for? Individuals seeking to start a freelance career on UpWork. Professionals aiming to expand their client base and income sources. Beginners with an interest in digital freelancing and remote work. Entrepreneurs wanting to understand freelance marketplaces. Career Path Freelance Consultant Remote Project Specialist Digital Marketing Freelancer Content Creator or Copywriter Web Developer or Designer Virtual Assistant Independent Contractor in Various Industries

Spiritual Life Coaching Course Overview This course on Spiritual Life Coaching is designed to equip learners with the essential knowledge and skills required to guide others through transformative life changes. Covering the basics of spiritual coaching, it explores the role of a coach, the key qualities required, and how to develop a successful practice. Learners will also gain an understanding of ethical considerations, advanced coaching techniques, and strategies to market and grow their business. Upon completion, participants will be able to confidently offer coaching services while aligning with ethical standards and effectively promoting their practice. This course provides a well-rounded foundation for those interested in becoming spiritual life coaches or enhancing their existing skills. Course Description In this comprehensive course, learners will explore the core principles and methodologies of spiritual life coaching. Beginning with an introduction to coaching basics, the course progresses to more advanced topics such as effective communication techniques, the significance of empathy, and the ethical responsibilities of a coach. Learners will develop key qualities such as emotional intelligence, active listening, and mindfulness, which are essential to guide clients through their spiritual and personal journeys. The course also covers strategies for marketing a coaching business, helping participants reach a wider audience and successfully build their practice. By the end of the course, learners will be equipped with the expertise to offer impactful, ethical spiritual coaching services and expand their professional opportunities. Spiritual Life Coaching Curriculum Module 01: Basics of Spiritual Life Coaching Module 02: Understanding Spiritual Life Coaching Module 03: Fundamental Qualities of a Coach Module 04: Advanced Coaching Module 05: Ethical Guidelines Module 06: Marketing Your Business Module 07: Growing Your Business (See full curriculum) Who is this course for? Individuals seeking to become certified spiritual life coaches. Professionals aiming to develop their coaching skills for career advancement. Beginners with an interest in personal development and coaching. Those looking to build a new career in spiritual coaching. Career Path Spiritual Life Coach Personal Development Coach Wellness Coach Life Coach Entrepreneur in Coaching Business Business Consultant in Personal Development