991 Statistics courses delivered On Demand

This course will start by looking at some examples and statistics which highlight the seriousness and extent of aggressive pupil behaviour, it will then go on to explain how you can identify the stages of aggression and provide some tips on how you could de-escalate a pupil before they lash out. It also looks at where the law stands on this subject and finally best practice in theory if you ever do need to restrain a pupil.

Let's use ChatGPT to build a pairs trading bot in Python and understand pairs, algorithmic, algo-trading, and stock trading strategies. Compute z-scores, log, cumulative, and portfolio returns. Apply data science strategies to financial analysis and trading strategies for stocks, forex, cryptocurrencies, Bitcoin, Ethereum, and altcoins.

Description Data Science Diploma Introducing the Data Science Diploma, an online course tailored for those eager to step into the dynamic world of data science. This comprehensive programme ensures participants grasp the essence of contemporary data science techniques, tools, and theories. At the core of this Data Science Diploma is the module titled Foundations of Data Science. It sets the groundwork by instilling fundamental principles, thereby preparing learners to navigate the expansive sea of data efficiently and effectively. As one progresses, the intricate elements of Data Engineering and Big Data come into play, elucidating how vast amounts of data are managed, stored, and processed. An essential aspect of data science lies in understanding uncertainty and making informed decisions. To this end, Probability and Statistics in Data Science offers learners the tools to decipher patterns, predict trends, and make data-driven decisions. Following closely, Clustering and Classification Techniques provide a deep understanding of how to categorise data into specific groups based on inherent characteristics, paving the way for more precise analysis. But what's data science without the necessary mathematical prowess? The Advanced Mathematical Modeling module hones this skill, enabling learners to craft intricate models that can simulate real-world scenarios. Such models act as the backbone of various data analyses and offer a detailed understanding of the underlying processes. The saying, 'A picture is worth a thousand words,' holds especially true in data science. With the Data Visualisation Principles and Design module, learners are equipped with the knowledge to translate complex data into visually compelling stories. This understanding is further solidified with the Web-Based Data Visualisation Tools, offering hands-on experience in using cutting-edge tools to portray data visually. The course recognises the growing demand for intuitive dashboards that provide real-time insights. The Dashboard Design and Mapping module aids participants in creating interactive and user-friendly dashboards, ensuring stakeholders get a clear and concise view of the data. Yet, as one manoeuvres through these diverse modules, a foundational understanding of computing becomes paramount. Hence, Computing for Data Science takes centre stage, familiarising learners with the computational aspects of data analysis, from algorithms to data structures. Concluding the Data Science Diploma is the module on Domain-Specific Data Science Applications. This segment offers a glimpse into how data science principles are applied across different sectors, from healthcare to finance. It accentuates the versatility of data science, proving its indispensable nature in today's digitised world. To sum up, this online Data Science Diploma ensures a holistic understanding of data science. By intertwining theory with practical application, it equips learners with the skill set required to thrive in the data-driven industries of tomorrow. So, if the realm of data beckons you, this diploma is your gateway to excellence. What you will learn 1:Foundations of Data Science 2:Data Engineering and Big Data 3:Probability and Statistics in Data Science 4:Clustering and Classification Techniques 5:Advanced Mathematical Modeling 6:Data Visualisation Principles and Design 7:Web-Based Data Visualisation Tools 8:Dashboard Design and Mapping 9:Computing for Data Science 10:Domain-Specific Data Science Applications 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.

Overview This comprehensive course on Uniform System of Accounting for Lodging Industries Part 1 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Uniform System of Accounting for Lodging Industries Part 1 comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Uniform System of Accounting for Lodging Industries Part 1. It is available to all students, of all academic backgrounds. Requirements Our Uniform System of Accounting for Lodging Industries Part 1 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 6 sections • 24 lectures • 03:44:00 total length •Introduction to the Course: 00:02:00 •Introducing Hotel Operating Structure-Profit Centers: 00:03:00 •Introducing Hotel Operating Structure-Support Centers: 00:03:00 •Explaining the main Profit & Loss Statement: 00:09:00 •Room Profit & Loss - Transient Market Segment: 00:10:00 •Rooms - Group Market Segment Explained: 00:09:00 •Rooms Division - Contract Revenue and Other Room Revenue: 00:06:00 •Other Rooms revenue consideration - Packages Barter Loyalty program: 00:09:00 •Structure of Room Departmental Expenses: 00:09:00 •Labour cost Departments and positions: 00:06:00 •Labour Cost Departments and Positions: 00:05:00 •Other Labour cost items for Room Division: 00:11:00 •Room Expenses A-d: 00:17:00 •Room Expenses E-R: 00:23:00 •Room Expenses S-Z: 00:05:00 •Introduction to Section on Room Statistics: 00:01:00 •Ocupancy Statistcis definitions: 00:24:00 •Formulas for Room Statistics: 00:06:00 •Room Statistics Report to help understand P&L: 00:12:00 •Understanding What Variable Expense Are and Fixed Showing P&L Analysis: 00:17:00 •Closure Video for Rooms Module: 00:01:00 •Room Division Definitions of Revenue and Expenses as Per USALI: 00:36:00 •Rooms P&L Sample: 00:00:00 •Assignment - Uniform System of Accounting for Lodging Industries Part 1: 00:00:00

Learn Python with 200+ real-world examples implemented on PyCharm. Ace functions, classes, objects, dictionary, lists, sets, and tuples. The course also covers math, statistics, and random modules. This is the ideal course for you if you want to advance your Python programming skills or switch to Python programming.

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

The Statistical Analysis Training Course is pivotal in the modern world, offering essential skills that are increasingly demanded across various industries. As businesses and organizations generate vast amounts of data, the ability to analyze and interpret this data becomes crucial. Learning from The Statistical Analysis Training Course equips individuals with expertise in key areas such as probability, hypothesis testing, regression analysis, and predictive analytics, enhancing their employability. In the UK, proficiency gained from this Statistical Analysis Training course can significantly boost job opportunities, with data analysts and statisticians earning an average salary of £35,000 to £50,000 annually. The demand for statistical analysis skills is on the rise, with the sector experiencing a growth rate of 33% over the past five years. Advantages of the Statistical Analysis Training course include a comprehensive understanding of both foundational and advanced statistical concepts, which are integral in roles across finance, healthcare, marketing, and technology. The Statistical Analysis Training Course ensures that learners are well-versed in modern analytical techniques, making them valuable assets in a data-driven economy. As the importance of data analytics continues to grow, so does the value of this training, making it an indispensable tool for career advancement. Key Features: CPD Certified Statistical Analysis Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum: Statistical Analysis Training Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Learning Outcomes: Grasp fundamental statistical concepts for data analysis proficiency. Understand measures of central tendency and dispersion in datasets. Apply probability theory to make informed statistical decisions. Utilize hypothesis testing techniques to draw meaningful conclusions. Master regression analysis for predictive modelling and trend identification. Embrace Bayesian methods and enhance statistical inference capabilities. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Statistical Analysis Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Statistical Analysis Training. Moreover, this course is ideal for: Aspiring data analysts seeking statistical foundations for career advancement. Professionals in research roles aiming to refine statistical analysis skills. Students pursuing degrees in mathematics, economics, or related disciplines. Business professionals looking to leverage data-driven insights for strategic decisions. Anyone interested in enhancing statistical literacy and analytical reasoning abilities. Requirements There are no requirements needed to enrol into this Statistical Analysis Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Statistical Analysis Training course. Career path After finishing this Statistical Analysis Training course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Statistical Analysis Training are: Data Analyst - £30K to £45K/year. Statistician - £35K to £50K/year. Market Research Analyst - £25K to £40K/year. Business Intelligence Analyst - £35K to £55K/year. Healthcare Data Analyst - £30K to £50K/year. Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Description Comparative Criminology Diploma Navigating the world of crime and criminal behaviour often necessitates a broader perspective that looks beyond a single jurisdiction. The Comparative Criminology Diploma provides learners with a comprehensive overview of criminology from a global standpoint. This online course offers the flexibility and convenience that learners need, allowing them to gain in-depth knowledge without the constraints of a physical classroom setting. The course begins with an introduction to Comparative Criminology, setting the stage for a journey that encompasses the complexities of criminal behaviour and justice systems from different corners of the world. It offers a nuanced understanding, shedding light on the ways in which societies perceive, control, and penalise criminal behaviour. One of the essential aspects covered in this course is the historical development of criminology. By exploring the origins and evolution of criminological thought, learners can better understand contemporary practices and trends. The journey through history enables them to trace back the roots of various criminal behaviours, helping pinpoint the societal changes that influenced them. A significant part of the Comparative Criminology Diploma focuses on the criminal justice system from a global perspective. Learners gain an understanding of the various ways justice systems operate, the principles guiding them, and the challenges they face in different cultures and societies. This global overview proves instrumental for those aiming to work in international criminal justice roles or wanting a more expansive knowledge of global criminology. With crime rates and statistics forming the backbone of criminological studies, the course dedicates ample time to this aspect. It provides learners with the tools to interpret and analyse crime data, recognise patterns, and understand the implications of these patterns in different socio-cultural contexts. Violent crimes across cultures and property crimes receive a comparative analysis. Such a focused study allows learners to discern the reasons behind the prevalence of certain crimes in particular regions and the societal factors influencing them. Similarly, the course extensively covers drug-related crimes and policies, presenting an overview of global drug crimes and the strategies employed by different nations to combat them. An in-depth exploration of gender and its relationship with crime is also part of the curriculum. The Comparative Criminology Diploma highlights the differences in criminal behaviours exhibited by different genders, the societal perceptions surrounding them, and the justice system's response. Punishment and rehabilitation are two cornerstones of any justice system. This course evaluates the various ways societies punish offenders and the effectiveness of rehabilitation methods. By comparing and contrasting these across cultures, learners gain a comprehensive understanding of global penal systems. Lastly, the course concludes with a discussion on the future directions in comparative criminology. This segment equips learners with insights into emerging trends, challenges, and the evolving nature of global crime. To summarise, the Comparative Criminology Diploma is a holistic online programme tailored for those passionate about understanding crime from a global perspective. By enrolling in this course, learners embark on a journey that broadens their horizons, deepens their insights, and equips them with a global criminological perspective that is indispensable in today's interconnected world. What you will learn 1:Introduction to Comparative Criminology 2:The Historical Development of Criminology 3:The Criminal Justice System: A Global Overview 4:Crime Rates and Statistics 5:Violent Crimes Across Cultures 6:Property Crimes: A Comparative Analysis 7:Drug-related Crimes and Policy 8:Gender and Crime 9:Punishment and Rehabilitation 10:Future Directions in Comparative Criminology 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.

10 QLS Endorsed Courses for Nursing Assistant | 10 Endorsed Certificates Included | Lifetime Access

Level 5 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited