17 Courses in Liverpool delivered Online

Sale Ends Today Software Engineering: Software Programming, Web Design & Development Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Software engineering has come a stage where it stands as the cornerstone of innovation and development of this era. You'll be amazed to know that the UK tech sector grew nearly 6 times faster than the overall economy, all due to the advancement of this sector. So, the Software Engineering: Computer Programming, Web Design & Development bundle is crafted to turn you into this versatile and sought-after software engineer, proficient in the latest technologies and coding languages from C# to Python, and beyond. Start with foundational programming languages like C# and C++. Then you'll advance to complex frameworks and technologies such as Node.js, Three.js, and Python for Machine Learning. The courses include Web Development using HTML, CSS, PHP, and WordPress, to build and secure dynamic websites and applications. Each module is designed to build upon the last, ensuring a structured pathway from beginner to expert level. With this Software Engineering course, you will get 30 CPD Accredited PDF Certificates, Hard Copy Certificate of 1st Course and our exclusive student ID card absolutely free. Courses Are Included In This Software Engineering: Software Programming, Web Design & Development Bundle: Course 01: C# Programming - Beginner to Advanced Course 02: C++ Development: The Complete Coding Guide Course 03: JavaScript Fundamentals Course 04: Refactor JavaScript Course 05: Node.JS: API Development with Swagger Course 06: Three.js & WebGL 3D Programming Course 07: Python Programming Bible Course 08: Machine Learning with Python Course Course 09: Data Science and Visualisation with Machine Learning Course 10: Project on Deep Learning - Artificial Neural Network Course 11: Penetration Testing with OWASP ZAP Course 12: HTML Web Development Crash Course Course 13: CSS Web Development Course 14: Advanced Diploma in PHP Web Development with MySQL, GitHub & Heroku Course 15: Advanced SAS Programming Using MacrosSQL Course 16: Diploma in User Experience UI/UX Design (Advanced) Course 17: Basics of WordPress: Create Unlimited Websites Course 18: Using WordPress for Affiliate Marketing Course 19: WordPress 5.0 for Beginners to Advanced Course 20: WordPress and SEO Online Course Course 21: How To Build Easy Drag & Drop Landing Pages With WordPress Course 22: Make a WordPress WooCommerce Amazon Affiliate Store Course 23: WordPress Security Mastery Course 24: How To Build a WordPress Membership Site With Memberpress Course 25: Bootstrap - Responsive Web Design Course 26: Masterclass Bootstrap 5 Course - Responsive Web Design Course 27: ASP.Net MVC and Entity Framework Course 28: .NET Core API Development Course 29: How To Startup Your Own SaaS (Software As a Service) Company (SaaS Evolution) Course 30: Basic Jira and Confluence Don't just dream about creating the next big software innovation-make it a reality. Upgrade your skills with the Software Engineering: Computer Programming, Web Design & Development course bundle and attempt to succeed in the fast-paced world of technology. Enrol today and start your journey towards becoming a pivotal player in the tech industry! Learning Outcomes of this Bundle: Master programming fundamentals in C#, C++, JavaScript, and Python. Develop comprehensive web applications using HTML, CSS, PHP, and WordPress. Implement advanced web designs with Bootstrap for responsive layouts. Utilise Python for machine learning and data visualisation projects. Learn security practices and penetration testing with OWASP ZAP. Design and deploy dynamic user interfaces with advanced UI/UX principles. Why Prefer this Course? Get a Free QLS Endorsed Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! The "Software Engineering: Computer Programming, Web Design & Development" course bundle is especially designed to empower learners with the skills required to excel in the tech industry. By mastering programming fundamentals in diverse languages such as C#, C++, JavaScript, and Python, participants will gain a robust foundation in coding principles that are applicable across a variety of development environments. This foundational knowledge is crucial for troubleshooting and innovating within the rapidly evolving landscape of technology. Beyond technical skills, the course also focuses on applying Python for Machine Learning and Data Visualisation projects, providing a competitive edge in fields like Data Science and Artificial Intelligence. Security practices and Penetration Testing with tools like OWASP ZAP further prepare learners to secure applications against potential threats. By completing this bundle, participants will not only enhance their coding and web development abilities but also acquire valuable skills in Security and UI/UX Design, making them well-rounded professionals ready for various challenges in the tech industry. Moreover, this diploma offers learners the opportunity to acquire a Recognised Qualification that is highly valued in the field of Software Engineering. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within the Software Engineering setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to Software Engineering related fields impacting their Software Engineering experiences and long-term development. Course Curriculum Course 01: C# Programming - Beginner to Advanced Module 01: Introduction Module 02: Basics To Get Started Module 03: Logic Module 04: Methods (Basic) Module 05: Classes (Basics) Module 06: Variables (Basic) Module 07: Error Handling Module 08: Useful Methods Module 09: Text (Advanced) Module 10: Classes (Advanced) Module 11: Binary (Advanced) Module 12: Asynchronous (Advanced) Module 13: Search In Objects (Linq) Course 02: C++ Development: The Complete Coding Guide Module 01: Introduction & Setting Up Module 02: Basics Module 03: Operators Module 04: String Streams Module 05: Statements & Loops Module 06: Functions Module 07: Advanced Data Types Module 08: Classes Module 09: Errors Module 10: The Mighty Preprocessor Module 11: File I/O Module 12: Extras Course 03: JavaScript Fundamentals Module 01: Introduction Module 02: Reasons of Employee Resignation Module 03: What is JavaScript? Module 04: Running JS Code Module 05: Variables Module 06: What is Talent Management Module 07: Talent Management &#8211; The Pillar of Successful Business Module 08: Comparison Operators Module 09: Responsibilities of Talent Management Manager &#038; Professionals Module 10: Function Module 11: Object Module 12: Methods Module 13: While Loops Module 14: Little Activity Before We Begin Module 15: For Loops Module 16: Arrays Module 17: Welcome to the Course Module 18: Multidimensional Arrays Module 19: Introduction to the DOM API Module 20: Conclusion =========>>>>> And 27 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*30 = £390) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring software developers. Current IT professionals. Web developers. System engineers. Tech enthusiasts. Career changers. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Software Developer: $50,000 - $120,000 Web Developer: $40,000 - $85,000 Front-End Developer: $50,000 - $110,000 Python Developer: $60,000 - $120,000 UI/UX Designer: $55,000 - $100,000 Systems Engineer: $60,000 - $130,000 Certificates CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate CPD Accredited Digital Certificate Digital certificate - Included CPD Accredited e-Certificate - Free Enrolment Letter - Free Student ID Card - Free

This course aims to teach you how to use Python for machine learning and data science.

All about containers, Docker, and Kubernetes for Python engineers.

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

A step-by-step guide that walks you through the fundamentals of Python programming followed using Python libraries to create random forest from scratch. A comprehensive course designed for both beginners with some programming experience or even those who know nothing about ML and random forest!

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 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 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 •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 •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 •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 •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 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •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): 00:17:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions.