34 Predictive Analytics courses in Bradford delivered Online

Description Criminal Intelligence Analysis Diploma Introducing the Criminal Intelligence Analysis Diploma, a comprehensive online programme designed to equip learners with advanced knowledge and practical skills in the realm of criminal intelligence analysis. Tailored for the modern learner, this course offers a deep understanding of the pivotal role criminal intelligence analysis plays in crime prevention, investigation, and safety enhancement. The course begins by addressing the essence of criminal intelligence analysis, offering a foundational understanding of its importance in the world of crime prevention and resolution. From there, students explore the intricacies of crime pattern recognition and analysis. This module illuminates how analysts discern patterns from vast amounts of data, providing key insights to law enforcement agencies. Building on this, the course offers an in-depth study on suspect profiling. This invaluable skill assists law enforcement agencies in narrowing down potential suspects based on behavioural patterns, history, and other pertinent information. From the individual, the course broadens its scope to explore the larger picture with geographic profiling and crime mapping. Here, students learn how to track and predict the geographical movements and behaviours of criminals. In today's interconnected world, understanding social network analysis in criminal intelligence is paramount. This diploma sheds light on how analysts evaluate connections, relationships, and networks to derive insights and target potential threats. Alongside this, the forecasting and predictive analysis module prepares students to anticipate criminal behaviours and act proactively. Another crucial aspect of the Criminal Intelligence Analysis Diploma is data collection and processing in criminal intelligence. Without effective and ethical data collection, the analysis can be skewed or unhelpful. This course delves into the methods, ethics, and tools that drive robust data collection efforts. As crime evolves, so too does the methodology behind its prevention. Intelligence-led policing forms a significant part of the course, teaching students how this proactive strategy is shifting the dynamics of modern policing. In the digital age, cybercrime poses a unique and escalating threat. The course equips students with the tools and understanding to analyse cyber threats, breaches, and online criminal behaviours. Cybercrime intelligence becomes a powerful tool in the arsenal of any seasoned analyst. Finally, as with any evolving field, it is essential to look ahead. The course concludes with a comprehensive look at the future of criminal intelligence analysis. This segment offers students a glimpse into the advancements, challenges, and potential shifts on the horizon. This Criminal Intelligence Analysis Diploma provides a robust online learning experience, accommodating various learning styles and paces. For those keen to forge a career in criminal intelligence, or for professionals looking to expand their skill set, this diploma serves as a bridge to understanding and mastering the dynamic world of criminal intelligence analysis. Invest in knowledge, invest in the future, and become a driving force in the world of criminal intelligence. What you will learn 1:The Essence of Criminal Intelligence Analysis 2:Crime Pattern Recognition and Analysis 3:Suspect Profiling 4:Geographic Profiling and Crime Mapping 5:Social Network Analysis in Criminal Intelligence 6:Forecasting and Predictive Analysis 7:Data Collection and Processing in Criminal Intelligence 8:Intelligence-Led Policing 9:Cybercrime Intelligence 10:The Future of Criminal Intelligence Analysis Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

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!

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

Unlock the potential of business intelligence with our specialized Business Intelligence Analyst Course. Learn to analyze data, extract insights, and drive strategic decisions to optimize business performance. Gain practical skills in data visualization, reporting, and predictive analytics using industry-leading tools and techniques. Whether you're a business professional or aspiring analyst, this course equips you with the expertise to excel in leveraging data for business intelligence.

As the retail industry continues to evolve, the demand for skilled data analysts is on the rise. According to recent statistics, the global retail analytics market is expected to reach $10.4 billion by 2025, with a compound annual growth rate of 19.6%. This indicates a significant opportunity for professionals in this field. Our Data Analyst: Retail Data Analytics course offers comprehensive training in the latest techniques and tools used in the retail industry, equipping learners with the skills they need to succeed in this exciting and growing field. This Diploma in Retail And Data Analytics at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points)to make your skill development & career progression more accessible than ever! At the end of this Data Analyst : Retail Data Analytics course, you will: Understand the basics of retail analytics and how it impacts the industry Analyse retail psychology and apply it in different scenarios Develop a retail strategy that aligns with business goals Create effective forecasts to plan and manage inventory Set appropriate pricing strategies that balance profit and customer satisfaction Apply analytics software to derive insights from data and inform decision-making Streamline supply chain management to improve efficiency and reduce costs Understand the sales process and how to engage with customers at the checkout Develop strategies for selling in multiple channels, including e-commerce Use trends and customer data to target effectively and increase sales This Retail Data Analytics at QLS Level 5 training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer This Data Analyst : Retail Data Analytics at QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. 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. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Retail Data Analytics at QLS Level 5 course: Module 1: Introduction To Retail Analytics Module 2: Retail Psychology Module 3: Retail And Data Analytics Module 4: Benefits Of Retail Analytics Module 5: Retail Strategy Module 6: Retail Buying And Merchandising Module 7: Forecasting Module 8: Retail Pricing Module 9: Analytics Software Module 10: Supply Chain Management In Retailing Module 11: The Sales Process And Dealing With Customers At The Checkout Module 12: Selling In Multiple Channels Module 13: Taking Trends And Targeting Customers Effectively 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. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Retail And Data Analytics at QLS Level 5 exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data analysts seeking to specialise in the retail industry Retail professionals who wish to develop their analytical skills and knowledge Business owners and entrepreneurs looking to improve their retail operations Requirements No prior background or expertise is required. Career path Data Analyst: Average salary of £32,000 per annum Pricing Analyst: Average salary of £30,000 per annum Supply Chain Analyst: Average salary of £29,000 per annum Forecasting Analyst: Average salary of £31,000 per annum E-commerce Analyst: Average salary of £32,000 per annum Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Retail And Data Analytics at QLS Level 5 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Retail And Data Analytics at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme andalso you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.

Sales Overview: Roadway/Highway Design and Engineering Software Are you ready to revolutionize your roadway and highway projects? Introducing our comprehensive Roadway/Highway Design and Engineering software, meticulously crafted to streamline every aspect of your design process. From initial conceptualization to final construction, our software offers a suite of modules tailored to meet the diverse needs of modern transportation infrastructure projects. 1. Introduction To Roadway/Highway Design and Engineering: Kickstart your projects with a solid foundation in roadway and highway design principles. Our software provides an intuitive introduction module, offering users a clear understanding of the fundamentals essential for successful project execution. With interactive tutorials and detailed resources, users can quickly familiarize themselves with industry best practices and regulatory requirements. 2. Geometric Design of Roadways/Highways: Efficient and safe roadway geometry is paramount to any transportation project. Our software's Geometric Design module empowers engineers to create optimal road alignments, intersections, and transitions with precision and ease. Through advanced algorithms and customizable parameters, users can simulate various design scenarios to achieve optimal traffic flow and safety standards. 3. Pavement Design for Roadways/Highways: Ensure the longevity and performance of your road surfaces with our Pavement Design module. Tailored to accommodate diverse traffic loads and environmental conditions, our software offers state-of-the-art pavement analysis tools. From flexible to rigid pavements, our algorithms optimize material selection and thickness design, empowering engineers to deliver sustainable infrastructure solutions. 4. Drainage Design for Roadways/Highways: Combat water accumulation and mitigate flood risks with our Drainage Design module. Our software integrates hydraulic modeling and stormwater management techniques to design efficient drainage systems for roadways and highways. With intuitive interfaces and predictive analysis capabilities, engineers can confidently implement drainage solutions that meet regulatory standards and minimize environmental impact. 5. Materials and Construction: Seamlessly transition from design to construction with our Materials and Construction module. Access a comprehensive database of construction materials and techniques, complete with cost estimations and procurement guidelines. Whether it's asphalt mixes or bridge components, our software empowers project stakeholders to make informed decisions and optimize construction processes for efficiency and quality. 6. Environmental Considerations in Roadway/Highway Design and Engineering: Embrace sustainability and environmental stewardship in every phase of your project with our Environmental Considerations module. From ecological impact assessments to carbon footprint analyses, our software equips engineers with the tools to minimize environmental disturbances and enhance project sustainability. With built-in compliance checks and mitigation strategies, users can navigate regulatory requirements with confidence while preserving natural resources. Experience the future of roadway and highway design with our cutting-edge software solution. Empower your team to deliver innovative infrastructure projects that prioritize safety, efficiency, and sustainability. Contact us today to learn more about how our Roadway/Highway Design and Engineering software can elevate your projects to new heights. Course Curriculum Module 1: Introduction To Roadway/Highway Design and Engineering Introduction To Roadway/Highway Design and Engineering 00:00 Module 2: Geometric Design of Roadways/Highways Geometric Design of Roadways/Highways 00:00 Module 3: Pavement Design for Roadways/Highways Pavement Design for Roadways/Highways 00:00 Module 4: Drainage Design for Roadways/Highways Drainage Design for Roadways/Highways 00:00 Module 5: Materials and Construction Materials and Construction 00:00 Module 6: Environmental Considerations in Roadway/Highway Design and Engineering Environmental Considerations in Roadway/Highway Design and Engineering 00:00

Stock markets move with more mystery than a magician’s deck of cards — but behind every dramatic rise and cryptic dip lies data, and data tells a story. This course dives straight into that narrative using deep learning techniques to forecast stock prices with logic, precision, and a pinch of technical finesse. Ideal for those ready to apply neural networks in finance-focused projects, the course simplifies complex theories without watering down their analytical power. From sequence modelling to time-series predictions using LSTM and beyond, you’ll explore how deep learning tools are being used to understand financial patterns and fluctuations. This course isn’t about abstract theory or vague strategies — it’s a focused look at how data science meets deep learning in the stock market sphere. Whether you’re a data enthusiast or an aspiring financial analyst, this course offers you the clarity and direction needed to interpret and anticipate stock price movement with greater confidence. Learning Outcomes: Build a deep learning model using RNN that can accurately predict stock prices. Preprocess data and perform exploratory data analysis. Scale features and make predictions on test data. Gain real-world experience in deep learning development. Contribute to the development of cutting-edge technology in the finance industry. The Hands-on Deep Learning Projects - Stock Price Prognostics course is designed to provide you with the skills and knowledge needed to develop a deep learning model using RNN that can accurately predict stock prices. In this course, you'll learn how to preprocess data, perform exploratory data analysis, scale features, and make predictions on test data. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in deep learning development. By the end of this course, you'll have a deep understanding of how to build a deep learning model that can revolutionise the world of finance. With hands-on experience in developing cutting-edge technology, you'll be well-equipped to start a career in deep learning and contribute to the development of cutting-edge technology in the finance industry. Hands on Deep Learning Projects - Stock price Prognostics Course Curriculum Section 01: Introduction Section 02: Installation of Tools and Libraries Section 03: Dataset Section 04: EDA Section 05: Feature Scaling Section 06: Building RNN Section 07: Prediction on Test Data Section 08: Output How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists. Machine learning engineers. Developers interested in deep learning development. Anyone interested in the field of deep learning. Professionals looking to upskill in the latest technology. Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Quantitative Analyst: £30,000 to £80,000 per year. Financial Data Analyst: £25,000 to £60,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

If you're fascinated by the mysteries of market movement and want to explore how machines attempt to predict tomorrow's numbers today, this Stock Price Prognostics Course will suit your curious streak perfectly. Built around deep learning models tailored for time series forecasting, the course takes a closer look at how algorithms can be trained to recognise patterns, spot trends, and occasionally raise an eyebrow at the randomness of stock data. It’s technical, structured, and surprisingly satisfying — no crystal ball involved, just code that tries its best. Focusing on stock price prognostics through real datasets, the course guides you through model building, evaluation metrics and common forecasting techniques using neural networks — all in plain English, with clear explanations and zero mystique. It’s suited to those who enjoy a challenge, appreciate a bit of data drama, and prefer graphs that actually say something. Whether you're brushing up on deep learning or building from the ground up, this course connects theory with application in a focused, jargon-light approach — and no need to wear a tie or trade a share. Learning Outcomes: Build a deep learning model using RNN that can accurately predict stock prices. Preprocess data and perform exploratory data analysis. Scale features and make predictions on test data. Gain real-world experience in deep learning development. Contribute to the development of cutting-edge technology in the finance industry. The Hands-on Deep Learning Projects - Stock Price Prognostics course is designed to provide you with the skills and knowledge needed to develop a deep learning model using RNN that can accurately predict stock prices. In this course, you'll learn how to preprocess data, perform exploratory data analysis, scale features, and make predictions on test data. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in deep learning development. By the end of this course, you'll have a deep understanding of how to build a deep learning model that can revolutionise the world of finance. With hands-on experience in developing cutting-edge technology, you'll be well-equipped to start a career in deep learning and contribute to the development of cutting-edge technology in the finance industry. ⊱⊱ Hands on Deep Learning Projects - Stock price Prognostics Course Curriculum Section 01: Introduction Section 02: Installation of Tools and Libraries Section 03: Dataset Section 04: EDA Section 05: Feature Scaling Section 06: Building RNN Section 07: Prediction on Test Data Section 08: Output How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists. Machine learning engineers. Developers interested in deep learning development. Anyone interested in the field of deep learning. Professionals looking to upskill in the latest technology. Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Quantitative Analyst: £30,000 to £80,000 per year. Financial Data Analyst: £25,000 to £60,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Duration 3 Days 18 CPD hours This course is intended for Business application consultant Data Consultant / Manager Database Administrator Application developer BI specialist Overview This course will prepare you to: Understand and put into practice the main advanced modeling capabilities of SAP HANA 2.0 SPS04 in the areas of text search and analysis, graph modeling, spatial analysis and predictive modeling. Promote these advanced modeling capabilities to extend the core SAP HANA Modeling features. Broaden your experience with the modern SAP HANA tooling in XS Advanced (SAP Web IDE for SAP HANA) This course provides advanced knowledge and practical experience on several topics that are included in, or connected to, the scope of the modeler role. Its purpose is to take a step further, beyond the core modeling knowledge from HA300, and to demonstrate how applications powered by SAP HANA can benefit from innovations such as Spatial Data Storage and Processing, Text Search and Analysis, Predictive Analysis and Graph Modeling.The course is supported by many demos and exercise, which demonstrate the advanced modeling capabilities in several scenarios. For example, working with classical schemas or HDI containers in XS Advanced, using the SQL console, developing graphical models. Some of the proposed case studies blend together several modeling capabilities, such as text with spatial, or text with graph.An introduction to SAP HANA Series Data is also provided. Introduction to Advanced ModelingSAP HANA Predictive Analysis Library (PAL) Describing SAP HANA PAL Using PAL in Flowgraphs Calling PAL Functions in Calculation Views Calling PAL Procedures in SQL Scripts Exploring the PAL Library SAP HANA Spatial Introducing SAP HANA Spatial Working with Spatial Data Types Importing and Exporting Spatial Data Accessing and Manipulating Spatial Data Using Spatial Clustering SAP HANA Graph Defining SAP HANA Graph Workspace Describing the Different Graph Algorithms Using the Graph Node in Calculation Views Using GraphScript Procedures SAP HANA Text Understanding Full Text Search Understanding Text Analysis Understanding Text Mining SAP HANA Series Data Getting Started with SAP HANA Series Data

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, Business Process Owners/Team Leads/Power Users, Solution Architects, and System Architects. Overview Describe the SAP BusinessObjects Business Intelligence tools.Learn about the use cases and get an overview of basic functions of the most important BusinessObjects reporting tools. In this course, students describe the SAP BusinessObjects Business Intelligence tools and learn about the use cases by getting an overview of basic functions of the most important BusinessObjects reporting tools. Overview of SAP BusinessObjects Business Intelligence (BI) 4.1 Describing SAP Analytics Solutions Identifying the Components of SAP BusinessObjects 4.1 Semantic Layer in SAP BusinessObjects BI 4.1 Describing Semantic Layer Technology Creating a Universe in the Information Design Tool SAP Crystal Reports Creating a Report in SAP Crystal Reports for Enterprise Creating a Report in SAP Crystal Reports 2013 Differentiating SAP Crystal Reports 2013 and SAP Crystal Reports for Enterprise SAP BusinessObjects Web Intelligence Creating Web Intelligence Documents in SAP BusinessObjects Web Intelligence SAP BusinessObjects Analysis, Edition for Microsoft Office Creating a Workbook in SAP BusinessObjects Analysis, Edition for Microsoft Office SAP BusinessObjects Analysis, Edition for OLAP Creating a Workspace with SAP BusinessObjects Analysis, Edition for OLAP SAP BusinessObjects Design Studio 1.2 Creating an Analytical Application in SAP BusinessObjects Design Studio 1.2 SAP BusinessObjects Dashboards Creating a Dashboard with SAP BusinessObjects Dashboards SAP BusinessObjects Explorer Creating an SAP BusinessObjects Explorer Information Space SAP Lumira and SAP Predictive Analysis Visualizing Data in SAP Lumira Forecasting in SAP Predictive Analysis Additional course details: Nexus Humans SAPBI Introduction to SAP BusinessObjects BI Solutions training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the SAPBI Introduction to SAP BusinessObjects BI Solutions course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.