1007 Data Science courses in Liverpool delivered Online

Step into the world of data analysis and gain practical experience analyzing real-world datasets with the help of this course. This course will not only guide you in analyzing data efficiently in Python from scratch but also help you in conducting your own analysis with Python and extracting valuable insights that can transform your business!

Course Description Get instant knowledge from this bite-sized COVID-19 Awareness: Part 2 course. This course is very short and you can complete it within a very short time. In this COVID-19 Awareness: Part 2 course you will get fundamental ideas of COVID-19, the key understanding of diagnosis, treatment and so on. Enrol in this course today and start your instant first step towards learning about the effects of COVID-19 on human life. Learn faster for instant implementation. Learning Outcome Familiarise with the effects of COVID-19 on human life Deepen your understanding of artificial intelligence, data science and technological solutions against COVID-19 Learn about the diagnosis and treatment Gain an excellent understanding of the preventions and social measures to be taken How Much Do Doctors Earn? Senior - £100,000 (Apprx.) Average - £52,000 (Apprx.) Starting - £27,000 (Apprx.) Requirement Our COVID-19 Awareness: Part 2 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. COVID-19 Awareness: Part 2 Module 01: Effects of Covid-19 on Human Life 00:19:00 Module 02: Diagnosis and Treatment 00:12:00 Module 03: Preventions and Social Measures to Be Taken 00:28:00 Module 04: Artificial Intelligence, Data Science and Technological Solutions against Covid-19 00:19:00 Assignment Assignment - COVID-19 Awareness: Part 2 00:00:00

SQL for Data Science, Data Analytics and Data Visualization Course Overview: This course offers a comprehensive introduction to SQL, designed for those looking to enhance their skills in data science, data analytics, and data visualisation. Learners will develop the ability to work with SQL databases, efficiently query and manage data, and apply these techniques for data analysis in both SQL Server and Azure Data Studio. By mastering SQL statements, aggregation, filtering, and advanced commands, learners will be equipped with the technical skills required to manage large datasets and extract meaningful insights. The course provides a solid foundation in data structures, user management, and working with multiple tables, culminating in the ability to perform complex data analysis and visualisation tasks. Course Description: This course covers a broad range of topics essential for anyone working with data in a professional capacity. From setting up SQL servers to mastering database management tools like SQL Server Management Studio (SSMS) and SQL Azure Data Studio, the course provides a thorough grounding in SQL. Learners will gain expertise in data structure statements, filtering data, and applying aggregate functions, as well as building complex SQL queries for data analysis. The course also includes instruction on SQL user management, group by statements, and JOINs for multi-table analysis. Key topics such as SQL constraints, views, stored procedures, and database backup and restore are also explored. The course incorporates SQL visualisation tools in Azure Data Studio, empowering learners to visualise data effectively. By the end of the course, learners will be proficient in SQL queries, data manipulation, and using Azure for data analysis. SQL for Data Science, Data Analytics and Data Visualization Curriculum: Module 01: Getting Started Module 02: SQL Server Setting Up Module 03: SQL Azure Data Studio Module 04: SQL Database Basic SSMS Module 05: SQL Statements for DATA Module 06: SQL Data Structure Statements Module 07: SQL User Management Module 08: SQL Statement Basic Module 09: Filtering Data Rows Module 10: Aggregate Functions Module 11: SQL Query Statements Module 12: SQL Group By Statement Module 13: JOINS for Multiple Table Data Analysis Module 14: SQL Constraints Module 15: Views Module 16: Advanced SQL Commands Module 17: SQL Stored Procedures Module 18: Azure Data Studio Visualisation Module 19: Azure Studio SQL for Data Analysis Module 20: Import & Export Data Module 21: Backup and Restore Database (See full curriculum) Who is this course for? Individuals seeking to enhance their data management and analysis skills. Professionals aiming to progress in data science, data analytics, or database administration. Beginners with an interest in data analysis and SQL databases. Anyone looking to gain expertise in SQL for Azure and SQL Server environments. Career Path: Data Analyst Data Scientist Database Administrator SQL Developer Business Intelligence Analyst Data Visualisation Specialist

If you aim to enhance your Machine Learning & Artificial Intelligence skills, our comprehensive Machine Learning & Artificial Intelligence course is perfect for you. Designed for success, this Machine Learning & Artificial Intelligence course covers everything from basics to advanced topics in Machine Learning & Artificial Intelligence. Each lesson in this Machine Learning & Artificial Intelligence course is crafted for easy understanding, enabling you to become proficient in Machine Learning & Artificial Intelligence. Whether you are a beginner or looking to sharpen your existing skills, this Machine Learning & Artificial Intelligence is the ideal choice. With our Machine Learning & Artificial Intelligence exclusive bundle, you will get a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. Courses are Included in This Machine Learning & Artificial Intelligence Bundle: Course 01: Machine Learning Basics Course 02: Hands-on Machine Learning Project - Auto Image Captioning for Social Media Course 03: Machine Learning with Python Course Course 04: Project on Deep Learning - Artificial Neural Network Course 05: Data Science & Machine Learning with R Training Course 06: ChatGPT for Marketing and Productivity with AI Tools Learning Outcomes of this Machine Learning & Artificial Intelligence Understand the foundational concepts of machine learning and its applications. Gain practical experience through hands-on machine learning projects and tools. Master Python programming for effective machine learning applications and tasks. Develop deep learning models using artificial neural networks effectively. Apply data science techniques using R for comprehensive data analysis. Learn to utilise AI tools for marketing and enhancing productivity in business. Why Choose Our Course? FREE Machine Learning & Artificial Intelligence certificate accredited Get a free student ID card with Machine Learning & Artificial Intelligence Training Get instant access to this Machine Learning & Artificial Intelligence course. Learn Machine Learning & Artificial Intelligence from anywhere in the world Machine Learning & Artificial Intelligence is affordable and simple to understand This bundle is an entirely online, interactive lesson with voiceover audio Lifetime access to the Machine Learning & Artificial Intelligence course materials The Machine Learning & Artificial Intelligence comes with 24/7 tutor support So enrol now in this Machine Learning & Artificial Intelligence Today to advance your career! Start your learning journey straightaway with Machine Learning & Artificial Intelligence! This Machine Learning & Artificial Intelligence's curriculum has been designed by Machine Learning & Artificial Intelligence experts with years of Machine Learning & Artificial Intelligence experience behind them. The Machine Learning & Artificial Intelligence course is extremely dynamic and well-paced to help you understand Machine Learning & Artificial Intelligence with ease. You'll discover how to master Machine Learning & Artificial Intelligence skills while exploring relevant and essential topics. *** Course Curriculum *** Course 01: Machine Learning Basics Section 01: Introduction Section 02: Regression Section 03: Predictors Section 04: Minitab Section 05: Regression Trees Section 06: Binary Logistics Regression Section 07: Classification Trees Section 08: Data Cleaning Section 09: Data Models Section 10: Learning Success Course 02: Hands-on Machine Learning Project - Auto Image Captioning for Social Media Section 01: Introduction Section 02: Building the Auto Image Captioning Section 03: Deployment of Machine Learning App Assessment Process of Machine Learning & Artificial Intelligence Once you have completed all the courses in the Machine Learning & Artificial Intelligence bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Machine Learning & Artificial Intelligence bundle is suitable for everyone. Requirements You will not need any prior background or expertise in this Machine Learning & Artificial Intelligence. Career path This Machine Learning & Artificial Intelligence bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - £29 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

Learn complete hands-on Regression analysis for practical Statistical modelling and Machine Learning in R

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics 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 Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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. Course Curriculum Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

In a data-driven world, those who can interpret and act on data are indispensable. The Data Science: 20-in-1 Premium Online Courses Bundle is your competitive edge—ideal for roles in analysis, business intelligence, and decision support. Make your CV count in one of the world’s fastest-growing job sectors. Description From finance and healthcare to tech and logistics, employers are looking for data-literate professionals who bring more than just numbers—they bring insights. This bundle proves you're ready. With essential tools, communication strategies, and technical proficiencies bundled into one affordable package, you'll position yourself ahead of the hiring curve. Ideal for aspiring analysts, business intelligence officers, or junior data scientists, this bundle offers wide appeal at incredible value. Don’t let others pass you by while you wait—get certified, stand out, and move forward in a high-paying, future-proof career. FAQ Q: What roles is this bundle useful for? A: Data analyst, business intelligence associate, reporting specialist, operations analyst, junior data scientist. Q: What sectors are looking for these skills? A: Technology, finance, retail, government, education, healthcare, and logistics. Q: Are the certificates official? A: Yes, you’ll receive a certificate for every course completed. Q: Do I need prior experience with coding? A: No. This bundle is suitable for both beginners and those seeking to upskill. Q: Can I learn at my own pace? A: Yes. You get full, flexible access to complete the courses at your convenience.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Did you know the UK tech sector is booming, with a projected growth of 2.7% in 2024? But with this growth comes the need for skilled professionals. Are you ready to be part of this exciting future? Python, a versatile and in-demand programming language, could be your key. But where do you start? This Python Programming bundle empowers you, from beginner to advanced, to master Python programming. Learn essential syntax, build applications, explore data science and machine learning, and delve into deep learning and neural networks. Gain the skills and confidence to launch your tech career or upskill for lucrative opportunities. This Diploma in Python Programming at QLS Level 5 Bundle Contains 11 of Our Premium Courses for One Discounted Price: Course 01: Diploma in Python for Beginners Part 1 at QLS Level 5 Course 02: Computer Science With Python Course 03: Python Basic Programming for Absolute Beginners Course 04: Python 101: Essentials for Beginners Course 05: Python Masterclass: Advanced Diploma Course 06: Coding with Python 3 Course 07: Python Programming Bible Course 08: Machine Learning with Python Course Course 09: Data Science & Machine Learning with Python Course 10: Code with Python: Learn Classes, Methods and OOP Course 11: Deep Learning & Neural Networks Python - Keras Take control of your career trajectory and join the growing community of Python developers-enrol today! Learning Outcomes of Python Programming Understand the basics of Python and its environment setup. Get a deep understanding of Python data types and operators. Master Python's fundamental data structures including lists, dictionaries, and tuples. Learn how to control the flow of Python programs through conditional statements and loops. Develop a solid understanding of Python syntax and readability. Acquire a comprehensive foundational knowledge of Python. Establish a solid stepping stone for advanced Python topics and related fields. Why Choose Our Bundle? Get a free QLS endorsed Certificate upon completion of this Bundle Get a free student ID card with this Bundle Get instant access to this Bundle course. Learn from anywhere in the world This Bundle is affordable and simple to understand This Bundle is an entirely online, interactive lesson with voiceover audio Lifetime access to this Bundle of course materials This Bundle Programming comes with 24/7 tutor support Start your learning journey straightaway! This Bundle curriculum has been designed by Python Programming experts with years of Python Programming experience behind them. The Bundle course is extremely dynamic and well-paced to help you understand the Bundle with ease. You'll discover how to master the Python Programming skill while exploring relevant and essential topics. 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. After passing the Diploma in Python for Beginners Part 1 at QLS Level 5 exam, you will be able to request a certificate endorsed by the Quality Licence Scheme absolutely FREE of cost. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is suitable for everyone. Requirements You will not need any prior background or expertise in this bundle. Career path This bundle will allow you to kickstart or take your career in the related sector to the next stage. Python Developer Data Analyst Machine Learning Engineer Web Developer Data Scientist Software Engineer Certificates CPD Accredited Certificate Digital certificate - Included Diploma in Python Programming at QLS Level 5 Hard copy certificate - Included

The Data Science: Data Analyst Mini Bundle is made for those who prefer evidence over guesswork. With key topics including Data Analysis, SQL, Python, Project Management, and MS Excel, this collection gives you a balanced mix of logic, organisation, and data literacy—all without trying to teach you twenty things at once. Whether you're managing a project or wrangling a CSV file, this course bundle is your sensible step toward making decisions based on something more reliable than a hunch. It’s suitable for career starters, team members, or those just trying to figure out what on earth a pivot table actually does. Learning Outcomes: Understand how to analyse and interpret structured data sets. Use SQL for database queries and data manipulation tasks. Write Python code to simplify and clean large datasets. Work efficiently with Excel for data calculation and graphs. Apply data knowledge in structured project workflows. Improve confidence in working with numbers and logic. Who Is This Course For: Aspiring analysts looking for a strong entry-level foundation. Team members working with spreadsheets and basic datasets. Managers wanting to understand what the analysts are saying. Graduates targeting data-related office positions. Freelancers exploring tech-focused client projects. Job seekers needing stronger data confidence and skill sets. People who enjoy patterns, statistics, or tidy spreadsheets. Anyone who’s been told to “check the numbers” again. Career Path: Junior Data Analyst – £30,000/year Python Programmer – £40,000/year SQL Data Developer – £42,000/year Project Analyst – £35,000/year Excel Data Specialist – £32,000/year Data Administrator – £34,000/year

Learn Python Programming using a Step By Step Approach with 200+ code examples.