If you are working on data science projects and want to create powerful visualization and insights as an outcome of your projects or are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you. This course exclusively focuses on explaining how to build fantastic visualizations using Python. It covers more than 20 types of visualizations using the most popular Python visualization libraries, such as Matplotlib, Seaborn, and Bokeh along with data analytics that leads to building these visualizations so that the learners understand the flow of analysis to insights.
This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.
Master the art of safeguarding your business with our Transaction Monitoring Masterclass. Detect and prevent fraud effectively through in-depth exploration of regulatory frameworks, risk-based approaches, advanced monitoring systems, and the future of transaction security. Join us to acquire essential skills, reduce false positives, and stay ahead in the ever-evolving landscape of financial security. Protect your business with confidence.
Fraud isn’t just a threat—it’s a costly nuisance that keeps evolving. The Fraud Detection and Prevention Insights Course offers a sharp and timely perspective into how fraud manifests across various sectors, and what can be done to stop it in its tracks. Learners are guided through emerging patterns, warning signs, and the strategic thinking used to analyse suspicious activity with precision. It’s not about ticking off tasks—it’s about understanding the game fraudsters play. Whether you’re responsible for protecting sensitive data or you're simply tired of second-guessing red flags, this course delivers clarity without fluff. With focused insights into fraudulent tactics, digital security weaknesses, and decision-making techniques, you’ll build confidence in identifying problems before they snowball. No drama, no jargon—just straight-talking knowledge from experts who’ve seen it all. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: An Overview of Fraud Module 02: Types of Fraud Module 03: Banking Frauds Module 04: Fraud Prevention Module 05: Fraud Detection Module 06: Fraud Evidence Module 07: Fraud Response Module 08: Fraud Investigations Module 09: Bribery Module 10: Laws & Legislation and Court Room Learning Outcomes: Identify various fraud types for proactive prevention. Implement effective strategies to detect and investigate banking frauds. Analyse and present compelling fraud evidence in legal contexts. Develop a robust response plan to mitigate the impact of fraud. Navigate bribery challenges through informed decision-making. Demonstrate a comprehensive understanding of relevant laws and legislation. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Finance professionals seeking fraud expertise. Law enforcement personnel focusing on financial crimes. Risk management specialists enhancing fraud prevention skills. Legal professionals involved in fraud-related cases. Auditors aiming to strengthen fraud detection capabilities. Compliance officers ensuring adherence to anti-fraud measures. Corporate investigators tackling internal fraud challenges. Students pursuing a career in fraud detection and prevention. Career path Fraud Analyst Financial Investigator Compliance Officer Forensic Accountant Risk Management Specialist Banking Security Consultant Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Level 3 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access
Recent developments in data analytics and statistics underscore the critical importance of understanding both data structure and analytics methodologies in today's data-driven world. With the exponential growth of data, businesses are increasingly relying on skilled professionals who can harness the power of data to drive informed decision-making. Our comprehensive Data Structure, Data Analytics with Statistics & Data Science QLS Endorsed Diploma bundle, endorsed by the Quality Licence Scheme (QLS) and accredited by the CPD Quality Standards (QS), offers a holistic approach to mastering data structure, data analytics, and statistical techniques. In an era where data reigns supreme, organisations seek individuals who can navigate complex datasets with confidence and precision. This Data Structure, Data Analytics bundle equips learners with the essential skills and knowledge needed to excel in the field of data science and analytics. By delving into topics such as data manipulation, statistical analysis, and database management, participants gain a deep understanding of how to extract valuable insights from raw data. Moreover, our guided courses in career development and communication empower learners to effectively communicate their findings and advance their professional journey. Bundle Include includes: QLS Endorsed Courses: Course 01: Certificate in Data Analytics with Tableau at QLS Level 3 Course 02: Diploma in Data Structure at QLS Level 5 Course 03: Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 CPD QS Accredited Courses: Course 04: Business and Data Analytics for Beginners Course 05: Learn Financial Analytics and Statistical Tools Course 06: SQL For Data Analytics & Database Development Course 07: Big Data Analytics with PySpark Power BI and MongoDB Course 08: Google Data Studio: Data Analytics Course 09: Business Intelligence Analyst Course 10: Spatial Data Visualization and Machine Learning in Python Course 11: Data Analysis In Excel Take your career to the next level with our Data Structure, Data Analytics bundle that includes technical courses and five guided courses focused on personal development and career growth. Course 12: Career Development Plan Fundamentals Course 13: CV Writing and Job Searching Course 14: Networking Skills for Personal Success Course 15: Ace Your Presentations: Public Speaking Masterclass Course 16: Decision Making and Critical Thinking Seize this opportunity to elevate your career with our comprehensive Data Structure, Data Analytics bundle, endorsed by the prestigious QLS and accredited by CPD.Data Structure, Data Analytics with Statistics & Data Science QLS Endorsed Diploma. Learning Outcomes: Upon completion of this Data Structure, Data Analytics bundle, participants will be able to: Demonstrate proficiency in data analytics tools such as Tableau, SQL, and Google Data Studio through Data Structure, Data Analytics courses. Apply statistical techniques to analyse and interpret data for informed decision-making. Design and implement data structures to efficiently store and retrieve information. Utilise machine learning algorithms for predictive analysis and pattern recognition. Develop effective communication and presentation skills to convey insights to stakeholders. Navigate career development pathways in the field of data science and analytics. This Data Structure, Data Analytics course bundle provides a deep dive into the foundational principles of data structure, data analytics, and statistical methodologies. Participants will explore the fundamental concepts of data manipulation, including sorting, searching, and storing data efficiently. Through hands-on exercises and theoretical discussions, learners will gain a solid understanding of various data structures such as arrays, linked lists, trees, and graphs, along with their applications in real-world scenarios. Moreover, the Data Structure, Data Analytics bundle encompasses a comprehensive exploration of data analytics techniques, equipping participants with the skills to extract actionable insights from complex datasets. From descriptive and inferential statistics to predictive modelling and machine learning algorithms, learners will discover how to uncover patterns, trends, and correlations within data, enabling informed decision-making and strategic planning. Throughout the Data Structure, Data Analytics course, emphasis is placed on practical applications and case studies, allowing participants to apply their knowledge to solve real-world problems in diverse domains. CPD 160 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Structure, Data Analytics course is perfect for: Aspiring data analysts seeking to enhance their analytical skills acrod Data Structure, Data Analytics courses. Professionals transitioning into roles requiring proficiency in data analytics. Students pursuing careers in data science, statistics, or related fields. Business professionals looking to leverage data for strategic decision-making. Individuals interested in advancing their career prospects in the field of data analytics. Anyone seeking to gain a comprehensive understanding of data structure, analytics, and statistics. Requirements You are warmly invited to register for this bundle. Please be aware that there are no formal entry requirements or qualifications necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Upon completion of the Data Structure, Data Analytics courses, you will be able to: Data Analyst Business Intelligence Analyst Data Scientist Statistician Database Administrator Machine Learning Engineer Data Engineer Certificates 13 CPD Quality Standard Certificates Digital certificate - Included 3 QLS Endorsed Certificates Hard copy certificate - Included
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.