1732 Developer courses in Liverpool delivered On Demand

Phonics Teaching: Phonics Teaching Online Do you worry about phonics instruction for kids learning to read and write? To help you comprehend this part, we have created a Phonics Teaching: Phonics Teaching Course. All the fundamentals are covered in this Phonics Teaching: Phonics Teaching Course, along with the importance of early phonics training for later, more advanced phonics education. The Phonics Teaching Course also explains the responsibilities of a phonics teacher. This Phonics Teaching Course describes involvement, awareness, and teaching strategies. The Phonics Teaching Course also explains how to satisfy individual requirements and maintain records. Register in the Phonics Teaching: Phonics Teaching Course to get all the necessary information, ranging from the foundations to the more intricate ideas, to effectively teach phonics. Special Offers of this Phonics Teaching: Phonics Teaching Course: This Phonics Teaching: Phonics Teaching Course includes a FREE PDF Certificate. Lifetime access to this Phonics Teaching: Phonics Teaching Course Instant access to this Phonics Teaching: Phonics Teaching Course 24/7 Support Available to this Phonics Teaching: Phonics Teaching Course Phonics Teaching: Phonics Teaching Online This Phonics Teaching Course explains all the basics including the significance of early phonics instruction to higher-level phonics instruction. Also, the Phonics Teaching Course explains the career of a phonics teacher. Teaching techniques, awareness and engagement are described in this Phonics Teaching Course. Moreover, how to keep records and meet individual needs is explained in the Phonics Teaching Course. Who is this course for? Phonics Teaching: Phonics Teaching Online Anyone who works with children, including parents, teachers, and teaching assistants, will find this Phonics Teaching: Phonics Teaching Course to be excellent. Requirements Phonics Teaching: Phonics Teaching Online To enrol in this Phonics Teaching: Phonics Teaching Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Phonics Teaching: Phonics Teaching Course. Be energetic and self-motivated to complete our Phonics Teaching: Phonics Teaching Course. Basic computer Skill is required to complete our Phonics Teaching: Phonics Teaching Course. If you want to enrol in our Phonics Teaching: Phonics Teaching Course, you must be at least 15 years old. Career path Phonics Teaching: Phonics Teaching Online You can get employment as a phonics teacher, primary school teacher, curriculum developer, and more after completing the Phonics Teaching: Phonics Teaching Course!

Overview of Web Design Course The Web Design Course is perfect for anyone who wants to learn how to build beautiful and professional websites. This course takes you from the very basics of web design to more advanced skills. You will learn how to use HTML, the main building block of websites, and then move on to CSS, which helps you style your pages with colours, backgrounds, borders, and text. With clear lessons and step-by-step guides, you will learn how to create websites that look great and are easy to use. In this Web Design Course, you will also learn how to design websites that work well on all screen sizes—from phones to computers. You’ll get hands-on practice with layout techniques, positioning elements on the page, and choosing the right fonts and colours. Each part of the course is designed to help you build confidence and improve your skills at a steady pace. The UK web design industry is growing fast, with over 25,000 jobs available and more than £3.7 billion added to the economy each year. That means learning these skills can open up many job chances. By the end of the Web Design Course, you will be ready to build responsive websites for yourself or for clients. This Web Design Course gives you the tools to start your journey in the digital world. This Web Design Course will help you to learn: Build responsive websites using HTML and CSS Design eye-catching web pages with colours and backgrounds Organise content with tables, lists, and forms Style text and customise fonts to match your design Use layout and positioning tools to control page structure Add interactive elements with CSS pseudo-classes and elements Who is this course for: This Web Design Course is ideal for: Beginners who want to learn web design from the ground up and start a new career Visual designers who want to turn their ideas into real websites using HTML and CSS Small business owners who want to manage or update their own websites Students studying graphic design, digital media, or computing who want hands-on web design skills Career changers looking to move into the digital world with a solid foundation in web design Process of Evaluation After studying the Web Design Course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Web Design Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements There is no prerequisite to enrol in this Web Design Course. Career Path Completing this Web Design Course can lead to exciting job roles such as: Junior Web Designer – £22K to £30K/year Web Developer – £25K to £45K/year Front-End Developer – £30K to £55K/year UX/UI Designer – £28K to £50K/year Digital Designer – £25K to £40K/year Course Curriculum Section 01: Introduction Introduction 00:07:00 Section 03: Basics Syntax And First Steps Alert!!! Important: A Must-Watch Video 00:01:00 How the Web Works 00:07:00 What Are Text Editors and Installation 00:05:00 How the Browser Works 00:11:00 Section 02: Basic And General Info And Installation HTML Basic Syntax 00:14:00 HTML Elements 00:06:00 HTML Attributes 00:08:00 HTML Headings 00:04:00 HTML Paragraphs 00:06:00 Section 04: Diving Deeper With HTML And CSS Basics HTML Style Attribute 00:09:00 HTML Formatting 00:04:00 HTML Comments 00:05:00 Simple Intro to CSS 00:16:00 HTML Links 00:06:00 HTML Images 00:08:00 Section 05: Diving Deeper: Tables, Lists And Forms HTML Tables 00:11:00 HTML Lists 00:07:00 First Training (Creating a Simple Menu) 00:00:00 HTML Forms pt.1 00:11:00 HTML Forms pt.2 00:11:00 HTML Forms pt.3 00:08:00 HTML Forms pt.4 00:06:00 Section 06: Getting Advanced And Finishing Up HTML Inline and Block Tags 00:16:00 Classes 00:10:00 Ids 00:08:00 More about the Head 00:09:00 HTML Entities 00:05:00 Section 07: Getting Started With CSS Intro and Revision to CSS 00:05:00 Syntax 00:08:00 Comments 00:00:00 Section 08: Colours Colours pt.1 00:19:00 Colours pt.2 00:08:00 Section 09: Backgrounds Backgrounds pt.1 00:13:00 Backgrounds pt.2 00:05:00 Backgrounds pt.3 00:09:00 Section 10: Borders Borders pt.1 00:07:00 Borders pt.2 00:06:00 Section 11: Margin, Padding And More Margin 00:14:00 Padding 00:08:00 Section 12: Outline Width and Height 00:06:00 Box Model 00:05:00 Training 2 (Building a Simple Form) 00:22:00 Outline pt.1 00:06:00 Outline pt.2 00:05:00 Section 13: Text Text pt.1 00:05:00 Text pt.2 00:07:00 Text pt.3 00:05:00 Section 14: Fonts Fonts pt.1 00:07:00 Fonts pt.2 00:04:00 Fonts pt.3 00:03:00 Section 15: Display Display pt.1 00:11:00 Display pt.2 00:04:00 Display pt.3 00:10:00 Section 16: Position Position pt.1 00:05:00 Position pt.2 00:10:00 Section 17: Z-Index Z-index pt.1 00:07:00 Z-index pt.1 00:07:00 Section 18: Overflow Overflow pt.1 00:08:00 Overflow pt.2 00:03:00 Section 19: Pseudo Classes, Elements And Other Stuff Pseudo Classes 45 00:00:00 Pseudo Elements 00:09:00 Opacity 00:06:00 Cursor 00:04:00 Section 20: Float Float pt.1 00:04:00 Section 21: Outro Outro and Where to Go From Here 00:03:00 Section 22: More Lectures: Update 2022 Videos 45 00:04:00 Sound 45 00:02:00 Youtube Videos 45 00:03:00

This course takes you through all the important topics of data structure and algorithms from scratch. You will learn how to solve real-world problems with linked lists, stacks, queues, sorting algorithms, and a lot more using Python.

It doesn't matter where you are in your web development journey, and you will benefit if you have at least a little knowledge of AJAX. If you have an interest in advancing in AJAX, getting better in the world of full-stack programming, and knowing how you can use AJAX in a practical way to perform CRUD operations-then this course is for you.

Through this course, you will learn how to arrange Kafka a producer and consumer and Kafka Streams and Connectors accurately. You will also gain the skills needed to coordinate Kafka with existing application stages and to pass the Apache Kafka certification exam.

The course helps you learn how to program with Python without any prior experience. The course also emphasizes learning the Django framework. You'll work on 4 major projects that will ensure that you have acquired and implemented your newly added skills to make Python-based websites with Django.

This course will help you learn the programming fundamentals with Python 3. It is designed for beginners in Python and is a complete masterclass. This course will help you understand Python GUI, data science, full-stack web development with Django, machine learning, artificial intelligence, Natural Language Processing, and Computer Vision.

Want to learn about Kubernetes security or need to pass the Certified Kubernetes Security Specialist (CKS) exam? You are at the right place. A hands-on course to help you develop your Kubernetes security skills. You need to have a basic understanding of Kubernetes Administrator to get the best out of this course.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

This course is designed to explore creative potential and hone artistic skills using ChatGPT. It covers how to use ChatGPT, generate ideas, research for a novel, create comics, and use other AI tools. Additionally, the course introduces ChatGPT for storytelling by providing prompts and refining its output to generate story ideas and characters.