276 Computer Programming courses in Liverpool delivered Online

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

In this course, we will understand the absolute basic concepts of programming. Learn essential C# scripting for game development by building 20+ mini projects. We will also build 2D games with Unity and C#, and master C# by building these games with Unity.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines

Get ready to dive into the exciting world of Unity game development and C# scripting! With a hands-on approach, you will craft a variety of thrilling 2D and 3D games using Unity and C#. Uncover the art of building and exporting games to the Android mobile platform. This course is tailor-made for someone who wants to learn Unity and C# through real-world projects.

The popularity of Augmented Reality (AR) technology has escalated due to its use by market leaders like Microsoft, Apple, Google, Facebook, and Amazon. It is now a billion pounds worth of market and is considered to be the next big thing in technological evolution. Want to learn how to meld the real with the virtual? Then take a step toward developing knowledge and skills that will drive your career forward and get ahead of the curve! This Diploma In Augmented Reality at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! This course is designed to break the complex AR concepts while also teaching the various scopes of Augmented Reality in education, business, medicine, military, scientific, industrial, and governmental policies. This course incorporates the use of Augmented Reality (AR) technologies to improve the education system and provide the experience of hands-on learning. In the same way, with the help of this Augmented Reality (AR) course, you will demonstrate an understanding of the possibilities of AR in business to fast-paced business operations as well as improve customer interactions to make better purchase decisions. Likewise, this Augmented Reality (AR) course will develop your perception of the applications of technology in the medical field as well as how governments can use such engineering for the welfare of the country and economy. Last but not least, this Augmented Reality (AR) course will prepare you to assess the future of AR and various career paths relating to it. This Augmented Reality (AR) training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! What will you learn? An Overview of Augmented Reality The scope of AR in education and business The Application of AR in the medical field Military, Scientific, Industrial, and Government purposes How to plan and create projects Analyse and evaluate the future Nano-scale technology Uses of AR in the human body Get Additional Courses as Gifts Diploma in Python Programming Take a step toward a brighter future! Why Prefer This Augmented Reality (AR) Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. *** Course Curriculum *** Here is the curriculum breakdown of the course: Module 01: Introduction Module 02: Application in Education Module 03: Application in Business Module 04: Application in Medicine Module 05: Other Key Applications Module 06: Assessing the Future Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Diploma In Augmented Reality at QLS Level 4 exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is open to everyone of all academic backgrounds. However, this Augmented Reality course is mostly preferable by: Computer programming students interested in C# programming Anyone who wants to develop Applications Anyone interested to learn about new skills to comply with the evolving industry Career path Enrolling on this course can lead you to the following career paths: Content Developer Content Strategist User Experience Designer Designer, Animator or Sound Artist AR Community Manager AR Project Manager And many more! Certificates Certificate Accredited by CPDQS Digital certificate - £10 Diploma in Augmented Reality at QLS Level 4 Hard copy certificate - £99 Show off Your New Skills With a Certificate of Completion After completing the Diploma in Augmented Reality at QLS Level 4, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 99 GBP inside the UK 109 GBP (including postal fees) for international delivery Certificate Accredited by CPDQS Upon finishing the Augmented Reality course, you need to order to receive a Certificate Accredited by CPDQS that is recognised all over the UK and also internationally. The pricing schemes are - 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)

Earn a living in Freelancing and Outsourcing Are you tired of the conventional working hours and the normal job? Do you want to work from the comfort of your own home? Then dig deep into this course and find out about freelancing and outsourcing so that you can work at your convenience. A freelancer or freelance worker is a term commonly used for a person who is self-employed and is not necessarily committed to a particular employer long-term. The most common freelance jobs include writing, editing, photography, web design, graphic arts or computer programming. There are no requirements for being a freelancer. While outsourcing refers to the practice of having certain job functions done outside a company instead of having an in-house department or employee handle them. In this course, you will be introduced to the world of freelancing and learn about different types of content writing. This course is particularly helpful if you are looking to work independently and not be bossed around by another person. Course Highlights Accredited Diploma in Freelancing and Outsourcing is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Accredited Diploma in Freelancing and Outsourcing into several modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 20/30 hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Accredited Diploma in Freelancing and Outsourcing Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Accredited Diploma in Freelancing and Outsourcing is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Accredited Diploma in Freelancing and Outsourcing is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Freelancing Overview 00:15:00 Setting Up Shop 00:15:00 Getting Started 00:30:00 Finding and Securing Work 00:30:00 Avoiding Freelance Scams 00:30:00 Building Your Client List 00:30:00 Defining Price Structure 00:30:00 Winning the Bidding War 00:30:00 Putting It All Together 00:15:00 Conclusion 00:15:00 Outsourcing WHY WOULD YOU OUTSOURCE? 00:15:00 DECIDING WHAT TO OUTSOURCE 00:30:00 FINDING CONTENT WRITERS 00:30:00 GRAPHIC DESIGNERS, WEBSITE DESIGNERS, ETC 00:30:00 CODERS AND PROGRAMMERS 01:00:00 VIRTUAL ASSISTANTS AND CUSTOMER SERVICE 00:30:00 OUTSOURCING SEO & PROMOTION 00:15:00 FREELANCE SITES AND HOW THEY WORK 01:00:00 OUTSOURCING ISSUES 00:30:00 Mock Exam Mock Exam- Accredited Diploma in Freelancing and Outsourcing 00:30:00 Final Exam Final Exam- Accredited Diploma in Freelancing and Outsourcing 00:30:00

Duration 5 Days 30 CPD hours This course is intended for This basic course is intended for anyone who is new to software development and wants, or needs, to gain an understanding of the fundamentals of coding and basics of Java and object-oriented programming concepts. Attendees might include: Technically-minded attendees who want or who want to begin the process of becoming an OO application developer Technical team members from non-development roles, re-skilling to move into software and application development roles within an organization Recent college graduates looking to apply their college experience to programming skills in a professional environment, or perhaps needing to learn the best practices and standards for programming within their new organization Technical managers tasked with overseeing programming teams, or development projects, where basic coding knowledge and exposure will be useful in project oversight or communications needs Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in basic coding with Java, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn: The steps involved in the creation and deployment of a computer program What OO programming is and what the advantages of OO are in today's world To work with objects, classes, and OO implementations The basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction The basic constructs that all programming languages share The basic Java constructs supporting processing as well as the OO orientation How to use Java exception handling About and how to use classes, inheritance and polymorphism About use collections, generics, autoboxing, and enumerations How to take advantage of the Java tooling that is available with the programming environment being used in the class Getting Started with Programming, OO and Java Basics for Non-Developers is a skills-focused, hands-on coding course that teaches students the fundamentals of programming object oriented (OO) applications with Java to a basic level, using sound coding skills and best practices for OO development. This course is presented in a way that enables interested students to embrace the fundamentals of coding as well as an introduction to Java, in a gentle paced environment that focuses on coding basics.Students are introduced to the application development cycle, structure of programs, and specific language syntax. The course introduces important algorithmic constructs, string and character manipulation, dynamic memory allocation, standard I/O, and fundamental object-oriented programming concepts. The course explains the use of inheritance and polymorphism early on so the students can practice extensively in the hands-on labs. Structured programming techniques and error handling are emphasized. The course includes the processing of command line arguments and environment variables, so students will be able to write flexible, user-friendly programs. Students will leave this course armed with the required skills to begin their journey as a Java programmer using modern coding skills and technologies. Introduction to Computer Programming Introduction to Programming Programming Tools Programming Fundamentals Thinking About Objects Program Basics Programming Constructs Java: A First Look The Java Platform Using the JDK The Eclipse Paradigm Writing a Simple Class OO Concepts Object-Oriented Programming Inheritance, Abstraction, and Polymorphism Getting Started with Java Adding Methods to the Class Language Statements Using Strings Specializing in a Subclass Essential Java Programming Fields and Variables Using Arrays Java Packages and Visibility Advanced Java Programming Inheritance and Polymorphism Interfaces and Abstract Classes Exceptions Java Developer's Toolbox Utility Classes Enumerations and Static Imports Formatting Strings Collections and Generics Introduction to Generics Collections

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.

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This course is designed to equip you with all the skills needed to turn your creative ideas into playable Android games. Your journey through this course involves building 8 sample games that will help you understand the process of creating mobile Android games with Unity and C#. Create fully functional, ready-to-publish Android games from scratch.