4552 Courses in Cardiff delivered Online

Imagine entering a realm where English prose and mathematical formulas dance together in perfect harmony, creating a tapestry of information that nourishes your mind and soul. This is what our Functional Skills Level 2 - Maths and English course promises - a symbiotic blend of numerical precision and linguistic elegance that empowers you to unlock your full potential. As you delve into the intricacies of multiplication, decimals, and grammar, you'll find yourself armed with the tools to conquer academic and professional challenges with ease. Each lesson is a stepping stone towards mastery, with expertly crafted content that makes learning feel like a thrilling adventure. The interactive lectures and practical exercises are your companions on this journey, guiding you towards a realm of clarity and confidence. No longer will you feel daunted by complex word problems or perplexed by the intricacies of sentence structure. Instead, you'll embrace them as opportunities to showcase your newfound prowess. As you emerge from this transformative experience, you'll find yourself not just proficient, but fluent in the language of Maths and English. Your enhanced skills will open doors to new opportunities, enabling you to communicate more effectively, solve problems with precision, and excel in your academic and professional pursuits. Learning Outcomes Apply multiplication techniques for digit numbers 11, 22, 33. Understand and utilise decimal and fraction conversions. Solve word problems involving ratios and proportions. Gain proficiency in basic grammar and sentence structure. Develop skills for accurate spelling and punctuation use. Understand operations on integers and rational numbers. Solve complex problems using BODMAS rules. Why Choose This Course Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this course for? Students aiming to enhance their Maths and English skills. Professionals seeking to improve their linguistic abilities. Individuals preparing for competitive exams. Anyone interested in expanding their academic knowledge. Individuals seeking to develop critical thinking skills. Career Path Increased eligibility for jobs requiring strong Maths and English skills. Writer or Editor Communications Specialist Data Analyst Teacher or Tutor in Maths or English Administrative or Office Professional. Salary range in the UK: £20,000 - £40,000, depending on the field and position. Certification  Upon completion of the Functional Skills Level 2 - Maths and English course materials, you are eligible to take a written assignment test either during or post-course. Successfully passing the test allows you to obtain the PDF certificate for £5.99. Additionally, you may order an original hard copy certificate at an extra cost of £9.60. Prerequisites  There are no prerequisites or prior qualifications required to enrol in the Functional Skills Level 2 - Maths and English course. This programme has been professionally developed to be compatible with all PCs, Macs, tablets, and smartphones. Conveniently access the course content from any location at any time, provided you have a reliable internet connection. Course Curriculum Functional Maths Training Course Lecture 1 Introduction 00:02:00 Lecture 2 Multiplying any digit number by 11, 22, and 33 00:09:00 Lecture 3 Integers and ordering of integers 00:06:00 Lecture 4 Addition and Subtractions of Integers 00:07:00 Lecture 5 Operations on Integers 00:04:00 Lecture 6 Multiplication and Division of Integers 00:04:00 Lecture 7 Powers of Integers (Exponents) 00:04:00 Lecture 8 Complete knowledge about factors and multiples 00:06:00 Lecture 9 Divisibility tests for 2,3,4,5,6 00:07:00 Lecture 10 Divisibility rules 7,8,9,10,11 00:06:00 Lecture 11 Prime Factorization 00:06:00 Lecture 12 Highest Common Factor HCF 00:10:00 Lecture 13 Least Common Multiple LCM 00:16:00 Lecture 14 Relation between LCM and HCF 00:04:00 Lecture 15 Classification of Fractions 00:04:00 Lecture 16 Convert mixed to improper and improper to mixed fractions 00:03:00 Lecture 17 Equivalent Fractions 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:04:00 Lecture 20 Addition and subtraction OF fractions 00:08:00 Lecture 21 Multiplication and division of fractions 00:11:00 Lecture 22 Word problems on fractions 00:16:00 Lecture 23 BODMAS and rules to remove brackets 00:03:00 Lecture 24 Simplify expressions using BODMAS rules 00:05:00 Lecture 25 Simplify expressions involving fractions using BODMAS 00:07:00 Lecture 26 Decimal numbers in relation to fractions 00:08:00 Lecture 27 Like and unlike Decimals 00:05:00 Lecture 28 Ordering of Decimal numbers 00:10:00 Lecture 29 Addition and subtraction of Decimal 00:07:00 Lecture 30 Multiplication of Decimal 00:03:00 Lecture 31 Division of Decimal 00:05:00 Lecture 32 Rational number 00:02:00 Lecture 33 Representation of Rational Numbers on Number line 00:04:00 Lecture 34 Determining which fraction is terminating or non terminating 00:05:00 Lecture 35 shortcut method of writing decimal expansion of fraction to decimal 00:08:00 Lecture 36 Rounding to whole number 00:06:00 Lecture 37 Rounding to required number of decimals (1 d.p. ) 00:05:00 Lecture 38 rounding to significant digits 00:07:00 Lecture 39 Practice question on three methods of approximation 00:05:00 Lecture 40 Estimation 00:05:00 Lecture 41 Scientific Notation 00:07:00 Lecture 42 Operation on numbers when they are in scientific notation 00:06:00 Lecture 43 Percentage to fraction and fraction to percentage 00:06:00 Lecture 44 Percentage of a quantity and conversation to decimal 00:06:00 Lecture 45 Expressing one quantity as percentage of another quantity 00:06:00 Lecture 46 Finding increase decrease percent 00:05:00 Lecture 47 Uses of percentages-Word Problems 00:09:00 Lecture 48 Ratio- How to express as simple ratio 00:09:00 Lecture 49 How to compare Ratios 00:04:00 Lecture 50 Word problems on finding ratios 00:07:00 Lecture 51To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:06:00 Lecture 54 Continued proportion 00:06:00 Lecture 55 Direct Variation ( or proportion) 00:04:00 Lecture 56 Problems based on Direct proportion 00:10:00 Lecture 57 Inverse Variation ( or proportion) 00:10:00 Lecture 58 Multiple Ratios 00:10:00 Lecture 59 Basics - Profit and Loss 00:04:00 Lecture 60 More practice problems on Profit & Loss 00:06:00 Lecture 61 Selling price formula and Problems 00:04:00 Lecture 62 Cost price formula and Problems 00:03:00 Lecture 63 Higher problems on Profit and Loss 00:08:00 Lecture 64 Basics - Discount.mp4 00:05:00 Lecture 65 Practice problems on Discount 00:04:00 Lecture 66 Tax 00:06:00 Functional skills English Introduction to the Course 00:13:00 Basics of Grammar 00:16:00 The Basics of Sentence 00:11:00 Structure of Sentence 00:19:00 Question 00:13:00 Punctuation & Capitalisation 00:24:00 Spelling 00:27:00 Common Mistakes and Ways to Improve 00:21:00

Introducing the 'Python Programming Bible | Networking, GUI, Email, XML, CGI' - your comprehensive, all-in-one resource for mastering Python! Are you an aspiring developer looking to dive into the ocean of Python programming or a seasoned coder seeking to level up your Python game? Look no further! Our course is expertly designed to take you from the basics to the complexities of Python, including Networking, GUI, Email, XML, and CGI. If you've ever dreamt of not just learning Python but truly mastering it, this is the course for you. This program is designed to provide a solid foundation and sharpen your skills in one of the most in-demand programming languages, while also introducing you to its many applications. This course starts with the basics of Python, providing a gentle yet thorough introduction and setup that caters to beginners as well as those looking to refresh their Python knowledge. As we study deeper into the heart of Python, we dive into objects, classes, and the power of regular expressions. But it doesn't stop there! You'll also become comfortable with concepts like CGI programming, which is an important building block for creating dynamic web pages. Navigating from core programming, we transition into the intricacies of managing databases and executing multithreading in Python. You'll gain the confidence to handle complex data management tasks, understand how Python interacts with databases, and efficiently manages multiple tasks simultaneously. The XML section allows you to get hands-on with parsing, data extraction, and manipulation, while the GUI section unveils the art of creating beautiful, user-friendly interfaces using Python. The course is enriched with a diverse set of resources, including real-world projects, quizzes, and interactive coding exercises. This is more than just a course, it's your passport to a new realm of opportunities, unlocking a world where Python programming is your strength, not just a skill.  So whether you're a student aiming to get a head start on your peers, a professional looking to diversify your skills, or an enthusiast wanting to dive deeper into the Python universe, the Python Programming Bible is the starting point for your journey to becoming a Python expert. Enrol today and step into a future of endless opportunities with Python! Learning Outcomes: Upon completion of the Python Programming Bible course, you should be able to: Understand and implement Python basics and advanced concepts. Build object-oriented programs with Python. Utilise regular expressions for pattern-matching tasks. Develop dynamic web pages using CGI programming. Interact with databases efficiently using Python. Apply multithreading for better utilisation of resources. Process and manipulate data using XML in Python. Design and create user-friendly GUIs with Python. Who is this course for? This Python Programming Bible course is ideal for the following: Beginners aiming to learn Python from scratch. Professionals looking to broaden their programming skills. Students pursuing a degree in Computer Science. Web developers looking to integrate Python into their toolkit. Data enthusiasts aiming to handle data with Python. Career Path: This Python Programming Bible course will help you to develop your knowledge and skills to pursue different careers, such as: Python Developer: (£35,000 - £70,000). Data Analyst: (£27,000 - £55,000). Web Developer: (£24,000 - £60,000). Data Scientist: (£45,000 - £90,000). Machine Learning Engineer: (£50,000 - £90,000). Software Developer: (£30,000 - £70,000). Certification After studying the course materials of the Python Programming Bible | Networking, GUI, Email, XML, CGI there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Prerequisites This Python Programming Bible | Networking, GUI, Email, XML, CGI does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Programming Bible | Networking, GUI, Email, XML, CGI was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Course Curriculum Section 01: Introduction & Setup Introduction 00:02:00 Setup on Mac OS X 00:03:00 Setup On Linux/Ubuntu 00:03:00 Setup On Windows 00:03:00 Run Code Online 00:03:00 Section 02: Basics Comments 00:02:00 Variables & Variable Types 00:05:00 Lists 00:04:00 Tuples 00:03:00 Dictionary 00:06:00 Data Type Conversion 00:02:00 Arithmetic Operators 00:05:00 Comparison Operators 00:03:00 Assignment Operators 00:03:00 Bitwise Operators 00:10:00 Logical Operators 00:07:00 Membership Operators 00:02:00 Identity Operators 00:02:00 Operator Precedence 00:03:00 Decision Making 00:09:00 Loops 00:06:00 Loop Control Statements 00:05:00 Numbers 00:05:00 Strings 00:12:00 Lists In Depth 00:05:00 Tuples In Depth 00:06:00 Dictionary In Depth 00:08:00 Date & Time 00:07:00 Functions 00:11:00 Modules 00:05:00 File Inputs & Outputs 00:13:00 Handling Exceptions 00:07:00 Section 03: Classes/Objects Simple Example 00:04:00 Creating Instance Objects 00:01:00 Accessing Attributes 00:04:00 Constructor New & Init Method 00:06:00 Destroying Objects 00:02:00 Class Inheritance 00:04:00 Overriding Methods 00:03:00 Overloading Methods 00:01:00 Overloading Operators 00:04:00 Data Hiding 00:03:00 Section 04: Regular Expressions Match Function 00:05:00 Search Function 00:02:00 Advanced Expressions 00:05:00 Search & Replace 00:03:00 Section 05: CGI Programming Basic CGI Programming 00:08:00 Get Method 00:06:00 Post Method 00:05:00 Cookies 00:05:00 Section 06: Database Setup Database 00:02:00 Connect To Database 00:05:00 Create Table 00:03:00 INSERT Operation 00:04:00 READ Operation 00:06:00 UPDATE Operation 00:02:00 DELETE Operation 00:02:00 Simple Network Example 00:04:00 Simple Client 00:04:00 Section 07: Multithreading Initiate a New Thread 00:07:00 Create Thread 00:06:00 Synchronise Threads 00:03:00 Multithreaded Priority Queue 00:09:00 Section 08: XML Parse an XML File 00:10:00 Section 09: GUI Introduction 00:02:00 Button Preview 00:03:00 Canvas 00:04:00 Checkbutton 00:02:00 Entry 00:02:00 Frame 00:04:00 Label 00:02:00 List Box 00:02:00 Menu button 00:03:00 Menu 00:08:00 Message 00:02:00 Radio button 00:05:00 Scale 00:03:00 Scrollbar 00:04:00 Text 00:03:00 Top-level 00:02:00 Spinbox 00:02:00 Paned Window 00:03:00 Message Box 00:02:00 Label Frame 00:02:00 Section 10: Resource Resource 00:00:00 Assignment Assignment - Python Programming Bible | Networking, GUI, Email, XML, CGI 00:00:00

Learn effective workplace communication skills that will transform your career Includes Open & Closed Questions, Active Listening, Understanding the Message, Body Language and Non-Verbal Messages

Pilates: Pilates Trainer Course Online Do you wish to hone your advanced Pilates mat techniques? Our Professional Pilates Trainer Course will provide the skills and expertise needed to take your career to the next level. This training for professional Pilates Trainer Course offers a concise overview of the principles and advantages of Pilates. The essential Pilates concepts and self-development strategies are taught in the Professional Pilates Trainer course. Basic anatomy, injury prevention, and the duties of a Professional Pilates Trainer are also covered in the training for Pilates trainers. This Professional Pilates: Pilates Trainer course explains many modules, including Pilates: Pilates on the ball, relaxation, and visualisation. You will get knowledge of the professional Pilates: Pilates Trainer industry's business ethics and style during the Professional Pilates: Pilates Trainer course. Enrol in our Professional Pilates Trainer Course to get the groundwork you need to build more advanced abilities and a confident career as a fitness trainer. Main Course: Professional Pilates Trainer Free Courses included with Pilates: Pilates Trainer Course: Along with Professional Pilates Trainer Course you will get free Fitness Instructor Along with Professional Pilates Trainer Course you will get free Diet and Nutrition Level 5 Special Offers of this Pilates: Pilates Trainer Course: This Pilates: Pilates Trainer Course includes a FREE PDF Certificate. Lifetime access to this Pilates: Pilates Trainer Course Instant access to this Pilates: Pilates Trainer Course 24/7 Support Available to this Pilates: Pilates Trainer Course Pilates: Pilates Trainer Course Online This Professional Pilates Trainer course provides a clear introduction and benefits ideas of Pilates: Pilates. The Professional Pilates: Pilates Trainer course teaches the self-development techniques and necessary principles of Pilates: Pilates. Also, the Professional Pilates: Pilates Trainer course includes basic anatomy, how to prevent injury and what are the responsibilities of a Professional Pilates: Pilates Trainer. Pilates: Pilates on the ball, relaxation and imagery are some modules explained in this Professional Pilates: Pilates Trainer course. Throughout the Professional Pilates: Pilates Trainer course, you will benefit by learning the business style and ethics of this Professional Pilates: Pilates Trainer sector. Who is this course for? Pilates: Pilates Trainer Course Online With the help of this Professional Pilates: Pilates Trainer Course, you may open new doors, improve your career, and get new abilities that will make you more marketable in your chosen field. Requirements Pilates: Pilates Trainer Course Online To enrol in this Pilates: Pilates Trainer Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Pilates: Pilates Trainer Course. Be energetic and self-motivated to complete our Pilates: Pilates Trainer Course. Basic computer Skill is required to complete our Pilates: Pilates Trainer Course. If you want to enrol in our Pilates: Pilates Trainer Course, you must be at least 15 years old. Career path Pilates: Pilates Trainer Course Online Anyone hoping to advance their career in this field or boost their employment chances and want to learn a great deal about Pilates: Pilates mats will benefit from this Professional Pilates: Pilates Trainer Course on the subject.

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

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Speech & Language Therapy Online This exclusive Speech & Language Therapy Course provides learners with a comprehensive overview of the role of a Speech and Language Therapist, equipping you with the essential skills to advance your career. It includes speech science, speech anatomy, and the characteristics of speech in detail. This Speech & Language Therapy course will teach you how Speech and Language Therapists help children and adults with speech and language disorders, including swallowing, eating, and drinking issues. It covers the fundamentals of the speech chain model and walks you through the key stages of literacy and language development. This course includes case studies and practical exercises that will teach you how to assess your clients' needs, set long-term goals, and support them every step of the way to recovery using a variety of communication techniques. In addition, you will gain in-demand professional skills that will help you start your career successfully. 5 Course Bundle Courses Course 01: Speech & Language Therapy Course 02: British Sign Language Course 03: Primary Teaching Diploma Course 04: Autism Course 05: Early years Level 4 [ Note: Free PDF certificate as soon as completing the Speech & Language Therapy course] Speech & Language Therapy Training Course Curriculum of- Speech & Language Therapy Module 1: Speech and Language Therapy Module 2: Study of Communication Module 3: Components of Normal Speech, Language & Voice and Communication Disorders Module 4: Eating, Drinking and Swallowing Disorder Assessment Method of Speech & Language Therapy After completing each module of the Speech & Language Therapy Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification of Speech & Language Therapy After completing the MCQ/Assignment assessment for this Speech & Language Therapy course, you will be entitled to a Certificate of Completion from Training Tale. Who is this course for? Speech Language Therapy There are no specific requirements for this Speech Language Therapy course because it does not require any advanced knowledge or skills. Requirements Speech & Language Therapy Students who intend to enrol in this Speech & Language Therapy course must meet the following requirements: Speech Language Therapy: Good command of the English language Speech Language Therapy: Must be vivacious and self-driven Minimum Basic computer knowledge A minimum of 16 years of age is required Career path Speech & Language Therapy Compete High provides the most expedient path to learning about Speech and Language Therapy, as well as the opportunity to practice your skills in a corporate setting. Certificates Certificate of completion Digital certificate - Included

Unleash your creativity and share magical stories with our online children's book writing course. Learn to captivate young readers with compelling plots, lovable characters, and imaginative worlds. Gain insights on publishing and marketing from experienced authors. Turn your passion into a fulfilling career as a children's book writer.

Overview Take steps to become a qualified teaching assistant and learn how to support children in every stage of their learning with the Teacher and School Staff Training Course. This teaching assistant course is for beginners who are new to the field, or in training, and wish to strengthen their skills and knowledge. In this training for teaching assistant course, you will learn about the different stages of child development, how to prepare classrooms, assist children who require extra help with tasks and supervise learning activities. You will also be introduced to effective teaching strategies and methodologies to support primary school teachers in classroom management. Lastly, you will get a complete introduction to SEN teaching, to be able to assist children with common learning difficulties such as ADHD and autism. Highlights of Teacher and School Staff Training Course Gain a complete understanding of the development of children and young people Get fundamental training in classroom planning, defining your teaching style & building strong relationships Develop the essential skills to become a fully qualified teaching assistant Explore a wide range of teaching methodologies and classroom strategies Understand the main principles of safeguarding & protecting the welfare of children Familiarise with the principles of SEN/SENCO teaching and explore common learning disorders Understand the role, responsibilities and characteristics of a teaching assistant Gain a full understanding of your career opportunities and career path Teacher and School Staff Training Course Design 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 How is the course assessed? To successfully complete the course you must pass an automated, multiple-choice assessment. The assessment is delivered through our online learning platform. You will receive the results of your assessment immediately upon completion. Will I receive a certificate of completion? Upon successful completion you will qualify for a UK and internationally-recognised professional qualification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hard Copy Certificate for £15. Why Study This School Staff Training Course? Whether you're an existing practitioner or aspiring professional, this course will enhance your expertise and boost your CV with key skills and an accredited qualification attesting to your knowledge. The Teacher and School Staff Training Course is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16. Course Curriculum Module 01: Fundamentals of Teaching Understanding the Development of Children and Young Person 00:35:00 Communication and Professional Relationships with Pupils and Family 00:25:00 Safeguarding the Welfare of Children and Young Person 00:25:00 Module 02: Teaching Methodologies - Part 1 Education - A Group Enterprise 00:20:00 Traits to Develop 00:35:00 Grow the Attention 00:35:00 Learning Good Habits 00:40:00 Importance of Memory 00:30:00 Module 03: Teaching Methodologies - Part 2 Imagination is Important 00:20:00 Breakdown of Thinking Process 00:40:00 Appreciation - An Aesthetic Emotion 00:20:00 Learning Reflexive Activities 00:20:00 Differing Individuals 00:25:00 Module 04: Teaching Methodologies - Part 3 Morality Matters 00:35:00 Different Learning Methods 00:20:00 Different Psychological Exercises 00:35:00 Problems, Situations & Solutions 00:25:00 Measuring the Achievements 00:55:00 Module 05: SEN Teaching Special Educational Needs (SEN) Teacher 00:10:00 Statutory and Regulatory Context for SEN 00:30:00 Principles and Practice of Leadership in Different Contexts 00:20:00 How SEN and Disabilities Affect Pupils' Participation and Learning 00:15:00 Strategies for Improving the Performance of the Pupils with SEN 00:15:00 Module 06: SENCO Training Whole-school Planning and Organisation 00:40:00 Assessment 00:10:00 Teamwork for SEN: Roles and Functions 00:40:00 Planning for Individual Students with SEN 00:15:00 Teaching and Learning in the Inclusive School 00:25:00 Module 07: Autism Introduction to Autism 00:10:00 Causes and Diagnosis of Autism 00:10:00 Other Conditions Associated with ASD 00:30:00 In-depth Understanding and Dealing with Autistic Behaviour 00:35:00 Socialising and Communication 00:15:00 Choosing Schools 00:20:00 What Should Teachers Do? 00:10:00 Sex Education and Puberty 00:15:00 Interventions: Treatments and Therapies for Autism 00:15:00 Government policies on autism in England 00:10:00 Module 08: ADHD What is ADHD? 00:05:00 Causes of ADHD 00:05:00 Diagnosing ADHD 00:05:00 Treating ADHD 00:05:00 ADHD and Education 00:10:00 Reasonable Adjustments: ADHD 00:10:00 Adults with ADHD 00:10:00 Module 09: Dyslexia What is Dyslexia? 00:10:00 Identifying Dyslexia 00:05:00 Co-occurring Conditions 00:05:00 Diagnosing Dyslexia 00:05:00 Creating Dyslexia Friendly Environment 00:05:00 Solutions for Dyslexia 00:05:00 Mock Exam Mock Exam - Teacher and School Staff Training Course 00:20:00 Final Exam Final Exam - Teacher and School Staff Training Course 00:20:00

This course will help you to prepare for the Cisco Certified Network Associate (CCNA) certification exam. The course covers all the major topics of computer networking and network devices, such as Internet Protocol (IP) addressing, routing, switching, Transmission Control Protocol/Internet Protocol (TCP/IP), Network Address Translation (NAT), Dynamic Host Configuration Protocol (DHCP), and Domain Name System (DNS).