149 Data Mining courses in Leeds delivered Online

This is a comprehensive and practical Apache Spark course. In this course, you will learn and master the art of framing data analysis problems as Spark problems through 20+ hands-on examples, and then scale them up to run on cloud computing services. Explore Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.

This course will show you why Hadoop is one of the best tools to work with big data. With the help of some real-world data sets, you will learn how to use Hadoop and its distributed technologies, such as Spark, Flink, Pig, and Flume, to store, analyze, and scale big data.

Understanding criminal intelligence and counterterrorism isn't just for agents in films—it’s a critical field with growing global relevance. This course offers a deep dive into the mechanisms that underpin intelligence gathering, threat analysis, and terrorism prevention strategies. From the psychology behind radicalisation to the structure of international crime networks, you’ll gain valuable insight into the complexities of modern threats and how professionals assess and respond to them. The curriculum guides learners through analytical techniques used by professionals to evaluate data, assess risk, and monitor criminal behaviour. It explores the interplay between intelligence services, law enforcement, and policy-making, highlighting how information is transformed into actionable insight. Whether you're pursuing a career in intelligence analysis or simply keen to understand the frameworks that shape global security, this course delivers the knowledge you need—presented with clarity, structure, and just the right dose of intellectual intrigue. What you will discover are the following: Analysis of criminal intelligence. Skills and Competencies for a Criminal Intelligence Analyst. Understanding the psychology of crime. Research techniques for analysing crimes. Making Decisions in the Analysis of Criminal Intelligence. Policing With Intelligence. Analysis of criminal intelligence and counterterrorism. Criminal Intelligence Analysis Technology. English and Welsh criminal justice systems. Our Criminal Intelligence & Counterterrorism Analysis course is endorsed by the Quality Licence Scheme, ensuring your newly-acquired skills will enhance your professional development. This course is also accredited by CPD to you as proof of your achievement. Why People Enrol this Course From One Education: Eligibility for an Endorsed certificate upon successful completion of the course Learning materials of our course contains engaging voiceover and visual elements for your comfort Get 24/7 access to all course content for a full year Complete the course at your own pace Each of our students gets full tutor support on weekdays (Monday to Friday) Efficient assessments and instant results upon completion of our course Course Curriculum: Module 01: Introduction Module 02: Criminal Intelligence Analysis Module 03: Criminal Intelligence Analyst - Skills and Competencies Module 04: Understanding Criminal Psychology Module 05: Research Methods in Crime Analysis Module 06: Decision Making in Criminal Intelligence Analysis Module 07: Intelligence-Led Policing Module 08: Counterterrorism and Criminal Intelligence Analysis Module 09: Technology in Criminal Intelligence Analysis Module 10: The Criminal Justice System in England and Wales How is the Course assessed? To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the course, learners will be able to order an endorsed certificate as proof of their achievement. Hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying - Within the UK: £109 International: £109 + £10 (postal charge) = £119 CPD Accredited Certification from One Education After successfully completing this course, you will qualify for the CPD accredited certificate from One Education, as proof of your continued professional development. Certification is available in both PDF & hardcopy format, which can be received by paying - PDF Certificate: £9 Hardcopy Certificate (within the UK): £15 Hardcopy Certificate (international): £15 + £10 (postal charge) = £25 CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This training is ideal for the following: You are interested in criminal behaviour and criminology. You are an expert in either crime or psychology. Your career is progressing at a job that involves psychology or criminal justice. Threat analysts in the industry, such as experts in physical threats or cyber threat intelligence Those who are interested in intelligence, the intelligence community, or intelligence analysis. Requirements There are no specific prerequisites to enrol in this course. Anyone and everyone can take this course. The course is fully accessible from any internet-enabled smart device. So, you can study from the comfort of your home! All you need is a passion for learning, literacy, and to be over the age of 16. Career path You can explore popular and in-demand careers associated with this course after completing it. Some job fields you can look into are: Criminal Intelligence Analyst Criminal Reporting Analyst Intelligence Development Officer Analysis and Research Officer The national average salary for a Criminal Intelligence & Counterterrorism Analysis job ranges from £37,000 to £47,000 in the United Kingdom.

Are you fascinated with Netflix and YouTube recommendations and how they accurately recommend content that you would like to watch? Are you looking for a practical course that will teach you how to build intelligent recommendation systems? This course will show you how to build accurate recommendation systems in Python using real-world examples.

This course covers the important topics needed to pass the AWS Certified Data Analytics-Specialty exam (AWS DAS-C01). You will learn about Kinesis, EMR, DynamoDB, and Redshift, and get ready for the exam by working through quizzes, exercises, and practice exams, along with exploring essential tips and techniques.

Get involved in a learning adventure, mastering R from foundational basics to advanced techniques. This course is a gateway to the realm of data science. Explore statistical machine learning models and intricacies of deep learning and create interactive Shiny apps. Unleash the power of R and elevate your proficiency in data-driven decision-making.

This beginner's course exclusively delivers Python programming from basic to advanced. You will learn Python concepts in real-life programming examples by building real-world applications. Learn the syntax of Python language and understand the logic behind the programming process to create your Python programs successfully and master Python coding.

Data Analysis: Data Analysis Training Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analysis: Data Analysis Course. This Data Analysis Course describes the fundamentals of data, statistics, and an introduction to Data Analysis. How to get data and where to find it is explained in the Data Analysis Course. Moreover, this Data Analysis Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analysis Course provides an introduction to Python and Excel for Data Analysis. This thorough Data Analysis Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python). Enrol in our Data Analysis Course to study the fundamentals of statistical analysis and machine learning. Main Course: Data Analysis (Data Analytics) Training Free Courses included with Data Analysis: Data Analysis Training Course: Course 01: Minute Taking Course 02: GDPR Course 03: Cyber Security [ Note: Free PDF certificate as soon as completing the Data Analysis: Data Analysis Training Course] Data Analysis: Data Analysis Training Online This Data Analysis (Data Analytics) Training consists of 12 modules. Curriculum of Data Analysis (Data Analytics) Training Course Module 1: Introduction to Data Analytics Module 2: Basics of Data and Statistics Module 3: Data Collection and Sources Module 4: Data Cleaning and Preprocessing Module 5: Exploratory Data Analysis (EDA) Module 6: Introduction to Excel for Data Analytics Module 7: Introduction to Python for Data Analytics Module 8: Data Wrangling with Pandas (Python) Module 9: Data visualisation with Matplotlib and Seaborn (Python) Module 10: Introduction to Basic Statistical Analysis Module 11: Introduction to Machine Learning Module 12: Capstone Project - Exploratory Data Analysis Assessment Method of Data Analysis (Data Analytics) Training Course After completing Data Analysis: Data Analysis Training Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Data Analysis (Data Analytics) Training Course After completing the Data Analysis: Data Analysis Training Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Data Analysis: Data Analysis Training Online For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analysis Course is ideal. Requirements Data Analysis: Data Analysis Training Online To enrol in this Data Analysis: Data Analysis Training Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Data Analysis Training Course. Be energetic and self-motivated to complete our Data Analysis Training Course. Basic computer Skill is required to complete our Data Analysis Training Course. If you want to enrol in our Data Analysis Training Course, you must be at least 15 years old. Career path Data Analysis: Data Analysis Training Online This Data Analysis Course will assist you in obtaining positions as a business analyst, marketing analyst, data analysis, and in related fields.

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