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Why Join Digital Marketing Training Course at Osborne Training Osborne Training is well Recognised for quality Regular Lectures led by Industry Expert Tutors Unlimited Access to the State of the Art Virtual Learning Campus Exclusive Access to High quality study materials Flexible payment option available Join Digital Marketing Training course as Pure Online or Blended with Classroom Delivery Access to Digital Marketing Internship for 3 months at the end of the training Unlimited Tutorial Support from expert tutors Get a Student Discount Card from NUS* Get a Free Tablet PC for limited period* Practical Hands-on Projects, Practical focused Assignments and Group-work for greater skills enhancement and understanding real life issues for real life problems Once you complete the bookkeeping course, you will get a certificate from Osborne Training confirming your professional Digital Marketing Qualifications. What jobs could I qualify for? Senior Digital Marketing Manager Digital Marketing Coordinator Executive Digital Marketing Strategist Digital Marketing Consultant In these roles, you could earn on average more than £40,000 annually (source: Reed Salary Checker, UK). Moreover, many go on to become successful (Millionaire sometime) entrepreneur by offering Digital Marketing services or formulating successful Digital Marketing Strategy for their own business. Digital Marketing Qualifications Digital Marketing Qualifications at Osborne Training are developed in Association with Google. Osborne Training offers Total Digital Marketing Course which combines all major skills required to be a successful Digital Marketeer and you also have option to join a complementary Internship at the end of your course. In joining the Total Digital Marketing Course at Osborne Training, you will make one of the greatest decision of your career and can look forward to a successful career in digital marketing. Digital Marketing Course Overview Total Digital Marketing Course covers major areas of Digital Marketing to make you completely ready for the digital era. The Digital Marketing course comes with optional Internship at the end of the training making you highly employable. Practical focused and hands-on approach of the training method helps you to be ready to offer real life solutions for real life problems. Digital Marketing Training Course Content Basics of marketing Marketing In Digital Era All About Web Search Engine Optimization Search Engine Marketing Affiliate Marketing Social Media Marketing Email marketing and nurturing (inbound) Mobile app marketing Content marketing Web, mobile and app analytics Growth Hacking Creating robust digital marketing strategy

Learn British Sign Language, suitable for all levels from complete beginners, through to higher level students who wish to learn level 1 or level 2 BSL, require practise or a polish-up of their current skills. 

A 60 minute power hour coaching session online to help answer any questions that you may have about Reiki. Whether you are new to Reiki or have been practising it for many years, there will always be questions that we would like answering. Or sometimes just having the opportunity to talk things through with another experienced Reiki teacher, healer or reiki practitioner.

Duration 5 Days 30 CPD hours This course is intended for Experienced Programmers and Systems Administrators. Overview Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is ?skills-centric?, designed to train attendees in core Python and web development skills beyond an intermediate level, coupling the most current, effective techniques with best practices. Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to: ? Create working Python scripts following best practices ? Use python data types appropriately ? Read and write files with both text and binary data ? Search and replace text with regular expressions ? Get familiar with the standard library and its work-saving modules ? Use lesser-known but powerful Python data types ? Create 'real-world', professional Python applications ? Work with dates, times, and calendars ? Know when to use collections such as lists, dictionaries, and sets ? Understand Pythonic features such as comprehensions and iterators ? Write robust code using exception handling An introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features. An Overview of Python What is python? 1 -- An overview of Python What is python? Python Timeline Advantages/Disadvantages of Python Getting help with pydoc The Python Environment Starting Python Using the interpreter Running a Python script Python scripts on Unix/Windows Editors and IDEs Getting Started Using variables Built-in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Sequences About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Converting binary data with struct Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Parameters Global and local scope Nested functions Returning values Sorting The sorted() function Alternate keys Lambda functions Sorting collections Using operator.itemgetter() Reverse sorting Errors and Exception Handling Syntax errors Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages The import statement Module search path Creating Modules Using packages Function and Module aliases Classes About o-o programming Defining classes Constructors Methods Instance data Properties Class methods and data Regular Expressions RE syntax overview RE Objects Searching and matching Compilation flags Groups and special groups Replacing text Splitting strings The standard library The sys module Launching external programs Math functions Random numbers The string module Reading CSV data Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Working with the file system Paths, directories, and filenames Checking for existence Permissions and other file attributes Walking directory trees Creating filters with fileinput Using shutil for file operations 17 ? Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network services Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Parsing command-line options Detecting the current platform Trapping signals Implementing logging Python Timeline Advantages/Disadvantages of Python Getting help with pydoc

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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 This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) 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.

IELTS Exam Preparation Course Overview This IELTS Exam Preparation course is designed to equip learners with the essential skills needed to excel in the IELTS exam. Covering all four sections of the test—listening, reading, writing, and speaking—the course provides in-depth insights into the format and structure of the test. Learners will develop strong English language skills, ensuring they are well-prepared for each section of the exam. By the end of the course, learners will gain confidence in their ability to manage time, understand test requirements, and perform under exam conditions. With expert guidance and structured content, this course aims to help learners achieve their desired IELTS band score. Course Description This course delves into each component of the IELTS exam, helping learners understand its format and assess their strengths and weaknesses. The grammar modules focus on essential areas such as sentence structure, punctuation, and capitalisation to ensure learners can effectively communicate their ideas. The listening, reading, writing, and speaking modules are tailored to build specific skills required for each section of the exam, guiding learners through practice exercises and strategies for optimal performance. Through engaging lessons and mock tests, learners will gain a clear understanding of what is expected in the IELTS exam and how to approach each section with confidence. The course also includes practical advice on preparing for the test, managing exam stress, and performing well under timed conditions. IELTS Exam Preparation Curriculum Module 01: Introduction to IELTS Module 02: IELTS Test Format Module 03: Grammar for IELTS: Basics of Grammar Module 04: Grammar for IELTS: The Basics of Sentence Module 05: Grammar for IELTS: Structure of Sentence Module 06: Grammar for IELTS: Punctuation & Capitalisation Module 07: The Listening Section Module 08: The Reading Section [Academic] Module 09: The Writing Section [Academic] Module 10: The Speaking Section Module 11: IELTS [General Training] Module 12: IELTS Life Skills Module 13: What To Do Before The IELTS Test? Module 14: IELTS Full-length Practice Tests (See full curriculum) Who is this course for? Individuals seeking to achieve a high band score in the IELTS exam. Professionals aiming to meet English language proficiency requirements for work or study. Beginners with an interest in pursuing international education or career opportunities. Those preparing for the IELTS exam as part of their visa application process. Career Path International student in higher education. Migration consultant or advisor. Professional in need of an English language proficiency qualification. Candidate for job roles requiring IELTS certification for global organisations.

These lessons are created for students ready to delve into diverse aspects of English. Students will enhance their reading and analytical skills through studying a variety of texts, including novels, plays and poetry from different genres and historical periods. They’ll develop their creative and non-fiction writing abilities, focusing on grammar, punctuation and effective communication. In addition, students will engage in discussions, improving their spoken English and listening skills. This comprehensive course aims to foster a love of reading and writing, making learning both fun and enriching! 6 children maximum fully interactive weekly 55 minute lessons qualified, expert teacher optional homework set weekly additional resources set via online classroom lesson recordings for absent students written progress reports three times per year Classes are £90 per month. Variety of times and dates available. Enquire to find out more!

These sessions are created for students eager to explore more complex texts and refine their analytical skills. Students will enhance their ability to critically evaluate literature, comparing themes and characters across a wide range of texts. They'll advance their creative and non-fiction writing, taking it to the next level by focusing on sophisticated language use and technical accuracy. through engaging discussions around fascinating topics, such as moral issues and social contexts, students will develop their oral communication. The overall aim of thios course is to deepen their love of language in an enjoyable environment. 6 children maximum fully interactive weekly 55 minute lessons qualified, expert teacher optional homework set weekly additional resources set via online classroom lesson recordings for absent students written progress reports three times per year Classes are £90 per month. Variety of times and dates available. Enquire to find out more!

These groups are for emerging young writers and will ensure your child loves writing from the beginning! We will play games, laugh and have lots of fun exploring imaginative ideas and beginning to structure a story. For this class your child needs to be able to write at least one sentence on their own. 4 children maximum fully interactive weekly 55 minute lessons qualified, expert teacher optional homework set weekly additional resources set via online classroom lesson recordings for absent students written progress reports three times per year Classes are £90 per month