84 Languages courses in Warlingham

This course aims to assist adult learners in improving their pronunciation skills and reducing their accents to enhance their overall communication in English. Through a variety of exercises and activities, participants will focus on specific sounds, stress patterns, intonation, and rhythm to develop clearer and more fluent speech. Course Duration: 10 weeks (20 sessions) Course Objectives: By the end of this course, participants will: 1. Identify and produce accurate sounds, stress patterns, and intonation in English. 2. Develop awareness of their own pronunciation challenges and strategies for improvement. 3. Reduce their native accent to improve overall intelligibility. 4. Enhance their listening skills and ability to distinguish between different sounds. 5. Increase their confidence in spoken English communication. Course Outline: Week 1: Introduction to Pronunciation and Accent Reduction - Assessing participants' pronunciation strengths and areas for improvement - Understanding the importance of pronunciation in effective communication - Introduction to key concepts: sounds, stress, intonation, and rhythm Week 2: Vowel Sounds - Identifying and producing English vowel sounds - Practice exercises and drills for accurate vowel pronunciation - Common pronunciation challenges and strategies for improvement Week 3: Consonant Sounds - Identifying and producing English consonant sounds - Focus on challenging consonant sounds and their correct articulation - Practice exercises and drills for accurate consonant pronunciation Week 4: Word Stress and Sentence Stress - Understanding the concept of stress and its role in English pronunciation - Practice exercises for placing stress on the correct syllables in words and sentences - Intonation patterns in different sentence types Week 5: Rhythm and Linking - Developing a sense of rhythm in English speech - Practice exercises for linking words together and maintaining flow - Awareness of connected speech phenomena Week 6: Intonation Patterns - Recognizing and producing different intonation patterns in English - Practice exercises for conveying meaning through intonation - Intonation in questions, statements, and emotions Week 7: Pronunciation of Commonly Mispronounced Words - Identification and correction of commonly mispronounced words - Practice exercises for improving pronunciation of specific words - Strategies for self-correction and continued improvement Week 8: Accent Reduction Techniques - Understanding the impact of native accents on English pronunciation - Techniques for reducing native accents and improving intelligibility - Practice exercises for adopting a more neutral accent Week 9: Listening Skills and Discrimination - Enhancing listening skills to better distinguish between sounds - Practice exercises for recognising and discriminating between similar sounds - Developing an ear for correct pronunciation through listening activities Week 10: Review and Fluency Practice - Reviewing course content and addressing individual needs - Fluency practice exercises and activities - Final evaluation and feedback session Note: This syllabus is a guideline and can be customised based on the specific needs and preferences of the participants. You can opt in and out of different modules. 

This course is designed to help adult learners develop the necessary language skills for academic success in an English-speaking environment. Through a combination of reading, writing, listening, and speaking exercises, participants will enhance their abilities to comprehend and produce academic texts, engage in critical thinking, and effectively communicate their ideas in written and spoken English.  Course Duration: 12 weeks (24 sessions) Course Objectives: By the end of this course, participants will: 1. Improve their academic vocabulary and understanding of complex grammatical structures. 2. Enhance their reading comprehension skills for academic texts. 3. Develop effective note-taking strategies for lectures and presentations. 4. Enhance their academic writing skills, including essay structure and research techniques. 5. Improve their ability to deliver academic presentations and participate in discussions. 6. Gain familiarity with academic conventions and citation styles. Course Outline: Week 1: Introduction to Academic English - Assessing participants' language proficiency and academic goals - Overview of the course syllabus and expectations - Introduction to academic vocabulary and common idiomatic expressions Week 2: Reading Comprehension - Scanning and skimming techniques for efficient reading - Strategies for understanding main ideas and supporting details - Vocabulary building through reading academic texts Week 3: Note-taking Skills - Effective note-taking during lectures and presentations - Organizing and summarising information - Practice exercises and listening activities Week 4: Academic Writing: Paragraph Structure - Understanding the components of a well-structured paragraph - Developing topic sentences and supporting ideas - Practice exercises on paragraph development Week 5: Academic Writing: Essay Structure - Introduction to essay structure: introduction, body, and conclusion - Crafting clear and concise thesis statements - Developing coherent and well-supported arguments Week 6: Research Skills and Citations - Introduction to academic research techniques - Evaluating sources for credibility and relevance - Understanding and applying citation styles (e.g., APA, MLA) Week 7: Grammar for Academic Writing - Review of essential grammar structures for academic writing - Practice exercises on sentence structure and complex grammar - Common grammatical errors to avoid in academic writing Week 8: Academic Writing: Research Papers - Understanding the research paper format and structure - Conducting literature reviews and integrating sources - Drafting and revising research papers Week 9: Academic Speaking: Presentations - Preparing and delivering effective academic presentations - Using visual aids and engaging the audience - Practicing presentation skills through individual and group activities Week 10: Academic Speaking: Discussions and Debates - Participating in academic discussions and debates - Expressing opinions and supporting arguments effectively - Listening and responding critically to others' viewpoints Week 11: Academic Writing: Critical Analysis - Analyzing and critiquing academic texts - Developing critical thinking and evaluation skills - Writing critical analysis essays Week 12: Review and Final Projects - Reviewing course content and addressing individual needs - Finalizing and presenting individual projects - Course evaluation and feedback session Note: This syllabus is a guideline and can be customised based on the specific needs and preferences of the participants. You can opt in and out of different modules. 

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

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Python Machine Learning algorithms can derive trends (learn) from data and make predictions on data by extrapolating on existing trends. Companies can take advantage of this to gain insights and ultimately improve business. Using Python Machine Learning scikit-learn, practice how to use Python Machine Learning algorithms to perform predictions on data. Learn the below listed algorithms, a small collection of available Python Machine Learning algorithms.

Course summary This Python Programming course has become essential to all professional who would like to do code using Python. Learn evenings, work while studying. Work and study Python Part Time. It is a Python beginners course and teaches Python coding from scratch to intermediate. Hands-on, practical. We code some real life examples in this course.

Python Data Analytics with Python using Numpy, Pandas, Dataframes. Most attendees are in-work Data Professional. Private individuals are very welcome. Our Style: Hands-on, Practical Location: Online, Instructor-led

Python Unittest Course Summary. Testing plays a major role in software development. This course will explain Python Unit Testing using the unittest built-in module. We'll cover issues before going to the production itself and the basics of testing in Python. Location: Instructor-led, Online. Our Style: Hands-on, Practical Course. Group Size: Max 4 people per group. Qualification: PCWorkshops Unittest Certification Duration: 1-Day, 10am-5pm Unittest topics UnitTest Framework - Home UnitTest Framework - Overview UnitTest - Framework UnitTest - API UnitTest - Assertion UnitTest - Test Discovery UnitTest - Skip Test UnitTest - Exceptions Test UnitTest - Time Test UnitTest - Unittest2 UnitTest - Signal Handling UnitTest - Doctest UnitTest - Doctest API UnitTest - Py.test Module Nose Testing - Framework Nose Testing - Tools Included with Python Unittest Course Python Unittest Certificate on completion Python Unittest Videos Python Unittest Notes Python Unittest Examples Practical Python Unittest exercises

Basic Python syntax and principles of Object Orientated Programming. Most attendees are in-work IT Professional. Private individuals are also very welcome. Evening courses also running. Our Style: Hands-on, Practical Location: Online, Instructor-led Download: anaconda.com Duration: 6 weeks, 1 evening per week, 6pm - 8pm Times: arrange a time for your time zone

Welcome to GLA Tutors, a pioneering platform for primary school tutoring and SATs preparation.  At GLA Tutors, we understand the importance of a strong foundation in primary school subjects and strive to provide comprehensive support to help children excel in their academic journey. Our team of expert tutors is well-versed in the English National Curriculum, which forms the basis of primary school education in the UK. We have carefully analysed the curriculum requirements to ensure that our tutoring services cover all key subjects and align with the learning objectives set by the curriculum. Our provision for tutoring all primary school subjects encompasses a wide range of subjects, including: 1. English: - Reading comprehension - Vocabulary development - Grammar and punctuation - Writing skills 2. Mathematics: - Number and place value - Addition, subtraction, multiplication, and division - Fractions, decimals, and percentages - Geometry and measurement 3. Science: - Investigating scientific phenomena - Understanding the natural world - Conducting experiments and making observations - Developing scientific thinking and inquiry skills 4. History: - Understanding historical events and timelines - Exploring significant figures and civilizations - Analysing primary and secondary sources - Developing historical knowledge and critical thinking skills 5. Geography: - Studying different landscapes and environments - Investigating human and physical geography - Exploring global issues and sustainability - Developing geographical skills and understanding At GLA Tutors, we understand that preparing children for SATs can be a challenging task. Our tutors are well-versed in the SATs format and content, and they provide targeted support to help children excel in their exams. We cover all areas of the SATs, including English (reading, grammar, and writing) and Mathematics, ensuring that children are well-prepared and confident on exam day. Our tutoring sessions are designed to be engaging and interactive, fostering a love for learning and encouraging children to reach their full potential. We use a variety of teaching techniques, including hands-on activities, visual aids, and interactive resources, to make learning enjoyable and effective. With GLA Tutors, you can be assured that your child will receive top-quality tutoring in all primary school subjects and be well-prepared for SATs. Our tutors are committed to providing personalised support, tailoring their teaching methods to meet the unique learning needs of each child. Join us and let us help your child thrive academically and achieve success in their primary school journey and SATs.