243 Probability courses delivered Online

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 from Reed CIQ Approved Statistical Analysis Course 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 Statistical Analysis Training 4:44:42 1: Module 01: The Realm of Statistics Preview 15:23 2: Module 02: Basic Statistical Terms 27:51 3: Module 03: The Center of the Data 10:00 4: Module 04: Data Variability 21:00 5: Module 05: Binomial and Normal Distributions 21:00 6: Module 06: Introduction to Probability 23:42 7: Module 07: Estimates and Intervals 21:35 8: Module 08: Hypothesis Testing 21:51 9: Module 09: Regression Analysis 21:00 10: Module 10: Algorithms, Analytics and Predictions 31:05 11: Module 11: Learning From Experience: The Bayesian Way 20:08 12: Module 12: Doing Statistics: The Wrong Way 23:39 13: Module 13: How We Can Do Statistics Better 25:28 14: CPD Certificate - Free 01:00 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 Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Mathematics is the universal language, bridging gaps, and solving mysteries of our daily lives. This Functional Skills Maths - Level 2 (Updated 2023) course has been carefully curated to elevate your mathematical understanding, offering clarity and depth on key concepts. From the world of fractions and percentages to the enigmatic arena of statistics and probability, every module ensures a robust conceptual foundation. Let's transform your approach to numbers and mathematical logic, making them allies in your quest for knowledge.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.

Telecomms training course description A comprehensive tour of the telecommunications technologies and terminology currently in use, and under development. What will you learn List and describe components of the PSTN. Explain how calls are made over the PSTN Compare analog and digital transmission methods. Describe the technologies within the transport plane. Recognise the benefits of extra features available in today's telephone networks. Telecomms training course details Who will benefit: Anyone new to the Telecommunications industry. Prerequisites: None. Duration 2 days Telecomms training course contents Telephone network architecture Handsets, local loop, distribution points, Local exchanges, main telephone switches, PBXs. Making a call - some basics Telephone call components, how a telephone call works, accessing the local exchange, loop disconnect, DTMF, standards, E.164, PSTN routing, Intelligent Networks, Special Rate Services. Analogue vs Digital Voice characteristics, PSTN bandwidth, analogue signalling, Digital encoding, PCM and the 64k, ADPCM and other voice compression methods. PBXs PABX, Call processing, networking PBXs, PBX facilities, bandwidth, blocking probability and Erlangs, Erlang models, using Erlang tables. Transmission methods Two wire transmission, 64k circuits, Nx64, E1, 2 wire to 4 wire conversion, echo, echo suppression, echo cancellers, twisted pair, coax, fibre optic, power lines, satellite systems, microwave. Signalling Analogue signalling, loop start, earth calling, E&M, AC15. Digital signalling -CAS, robbed bits and E1 slot 16 signalling. Digital signalling CCS, Q.931, SS7, Q.SIG, DPNSS, DASS2. Transport planes PDH, PDH issues, SDH, SDH architecture, SDH standards, SDH bit rates, SDH mulitplexors, DWDM. Networks Circuit Switched Networks, TDM, Packet Switched Networks, Frame Relay, Message Switching, Circuit Switching, STDM, Cell Switching, ATM, ATM cells, ATM traffic parameters, ATM QoS, MPLS. Other network access Modems, modulation, speeds, ISDN, BRI, PRI, xDSL, SDSL, ADSL. Other Services Centrex, VPNs, FeatureNet, CTI, Call Processing Systems, Voice Mail, Automated Attendant Systems, Interactive Voice Response, Call Management Systems, Call Conferencing, Star Services. Mobile communications 3 types of wireless telephone, mobile generations, base stations, cells, GSM, GPRS, 3G, UMTS, WCDMA, 4G, LTE. VoIP overview What is VoIP, VoIP benefits, What is IP? The IP header, Packetising voice, VoIP addressing, H.323, SIP, RTP. Bandwidth requirements.

This PMI-RMP Certification Training will help you master the processes of risk management and the structured and objective approach to addressing uncertainty in projects. You will learn how to conduct risk planning, identification and analysis, and control both known and unknown risks in projects.

About this Virtual Instructor Led Training (VILT)  This 4 half-day Virtual Instructor Led Training (VILT) course will address a variety of contract and loan structuring issues associated with geothermal energy projects as well as comparison with solar, wind and battery storage. The course is designed to investigate how various project finance techniques and contract structures can be used to achieve a competitive power prices while maintaining a satisfactory equity return. Distinctive project finance features of power facilities that depend on geothermal, wind, hydro or solar resources will be evaluated with financial models. The course will cover economic analysis of exploration and development of geothermal facilities and how to incorporate probability of failure and success into an IRR framework. Subsequent sessions will address the theory underlying liquidated damages for delay, and performance as well as design of other incentives that is inherent in different contract structures. Nuanced project finance issues associated with structuring debt for renewable projects will be discussed including under what conditions the DSCR drives debt capacity and when the debt to capital ratio is instrumental. The course will be taught with a combination of theoretical discussions, term sheet review and focused financial models. Training Objectives Evaluation of the economic risks that arise from uncertainty associated with drilling exploration wells and development wells for geothermal projects. Analyse the theoretical issues with computing LCOE for geothermal projects compared to other renewable and non-renewable resources and the importance of cost of capital for renewable projects; Understand differences in contract structures for renewable projects and dispatchable projects and how a single price structure can distort incentives for efficient construction and operation; Understand components of financing that influence the bid price required to meet a required rate of return on equity and can result in relatively low prices with reasonable returns. Understand the importance of debt sizing constraints and what strategies are relevant when the debt to capital constraint applies relative to when the debt service coverage ratio drives the debt size; Understand how to compute P50, P90 and P99 for different projects driven by resource risk; Understand the difference between mean reverting resource variation and estimation mistakes that do not correct as the basis for 1-year P90 and 10-year P90. Understand under what conditions debt sculpting can affect returns and how synthetic sculpting can be used to increase returns when the DSCR constraint applies. Understand the theory of credit spreads, variable rate debt and interest rates in different currencies and compute the implied probability of default that in inherent in credit spreads. Understand how to evaluate the costs to equity investors and the benefits to lenders for various credit enhancements including DSRA accounts, cash flow sweeps and covenants. Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day, including time for lectures, discussion, quizzes and short classroom exercises. Trainer Your expert course leader provides financial and economic consulting services to a variety of clients, he teaches professional development courses in an assortment of modelling topics (project finance, M&A, and energy). He is passionate about teaching in Africa, South America, Asia and Europe. Many of the unique analytical concepts and modelling techniques he has developed have arisen from discussion with participants in his courses. He has taught customized courses for MIT's Sloan Business School, Bank Paribas, Shell Oil, Society General, General Electric, HSBC, GDF Suez, Citibank, CIMB, Lind Lakers, Saudi Aramco and many other energy and industrial clients. His consulting activities include developing complex project finance, corporate and simulation models, providing expert testimony on financial and economic issues before energy regulatory agencies, and advisory services to support merger and acquisition projects. Our key course expert has written a textbook titled Corporate and Project Finance Modelling, Theory and Practice published by Wiley Finance. The book introduces unique modelling techniques that address many complex issues that are not typically used by even the most experienced financial analysts. For example, it describes how to build user-defined functions to solve circular logic without cumbersome copy and paste macros; how to write function that derives the ratio of EV/EBITDA accounting for asset life, historical growth, taxes, return on investment, and cost of capital; and how to efficiently solve many project finance issues related to debt structuring. He is in the process of writing a second book that describes a series of valuation and analytical mistakes made in finance. This book uses many case studies from Harvard Business School that were thought to represent effective business strategies and later turned into valuation nightmares. Over the course of his career our key course expert has been involved in formulating significant government policy related to electricity deregulation; he has prepared models and analyses for many clients around the world; he has evaluated energy purchasing decisions for many corporations; and, he has provided advice on corporate strategy. His projects include development of a biomass plant, analysis and advisory work for purchase of electricity generation, distribution and transmission assets by the City of Chicago, formulation of rate policy for major metro systems and street lighting networks, advocacy testimony on behalf of low income consumers, risk analysis for toll roads, and evaluation of solar and wind projects. He has constructed many advisory analyses for project finance and merger and acquisition transactions. Lastly, our key course expert was formerly Vice President at the First National Bank of Chicago where he directed analysis of energy loans and also created financial modelling techniques used in advisory projects. He received an MBA specializing in econometrics (with honours) from the University of Chicago and a BSc in Finance from the University of Illinois (with highest university honours). POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Embark on an invigorating intellectual journey with this A-Level Maths course, meticulously crafted to imbibe the nuances of advanced mathematics. Delve into topics such as forces, probability, algebra, and vectors, honing your expertise while bolstering your critical thinking and analytical prowess. In the realm of UK education, A-levels stand as a testament to significant educational accomplishment. Our A-Level Maths course epitomises this, enhancing your appeal to both universities and employers while paving the way to a world of exciting opportunities. Adhering to the fresh AQA A-Level Maths syllabus, this online home study course is constructed to dovetail with your convenience, enabling you to learn at your own pace. Our comprehensive support system includes unlimited tutor assistance, a systematic induction, and well-structured assignments, preparing you efficiently for the exams. We ensure your access to our partnered exam centres for your final A-Level examinations. With our course, you'll have access to: Cutting-edge course content, shaped according to the latest specification. A Fast track option (for exams in 2022). A network of partnership exam centres. Unlimited tutor support and an exam pass guarantee. Awarding body: AQA Course code: X901 Qualification code: 7357 AQA qualifications enjoy international recognition, being taught in 30 countries and prized by employers and universities alike. These qualifications accommodate a wide range of abilities, encompassing GCSEs, IGCSEs, and A-levels. ⏱ Estimated Study Time Allocate between 300 and 360 hours for study, along with additional time for assignments. 👩‍🏫 Learning Methodology Our course is delivered via an immersive online learning platform, complete with diverse media resources like videos. However, if you prefer a more traditional approach, you can print the learning materials. 📆 Course Duration Enrol and benefit from our unlimited tutor support for up to 24 months. Upon enrolment, you will receive access to MyOxbridge, where all your learning materials are housed. 📋 Evaluation Examinations start from Summer 2022.  You will be evaluated on three written exams: Paper 1: 2 hours, 33.3% of A-Level, 100 marks. Paper 2: 2 hours, 33.3% of A-Level, 100 marks. Paper 3: 2 hours, 33.3% of A-Level, 100 marks. The exams will consist of a range of question types, from single-mark questions to multi-step problems. Our students are provided with a guaranteed exam space and an exam pass guarantee. Assignments The course includes several assignments. Though not contributing to your final grade, they allow you to receive feedback from your tutor, helping you track your progress. 👩‍🎓 Course Outcomes Upon successful course completion, you will receive an AQA-issued A-Level in Maths. This certificate mirrors those awarded to students at any other educational institution.  ℹ️ Further Details Difficulty - Level 3 Entry requirements - A GCSE or equivalent level in Mathematics is strongly advised. UCAS Points - 56 Course Content Core Content Mathematical argument, language, and proof Mathematical problem solving Mathematical modelling Proof Algebra and functions Coordinate geometry in the (x,y) plane Sequences and series Trigonometry Exponentials and logarithms Differentiation Integration Numerical methods Vectors Statistical sampling Data presentation and interpretation Probability Statistical distributions Statistical hypothesis testing Quantities and units in mechanics Kinematics Forces and Newton’s laws Moments

***24 Hour Limited Time Flash Sale*** Data Analysis, Statistics & Economics - QLS Endorsed Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Immerse yourself in the realm of Data Analysis, Statistics & Economics with our eight-course bundle, meticulously curated to offer a robust foundation in these critical fields. Our comprehensive package includes three prestigious QLS-endorsed courses in Statistics, Economics, and Basic Data Analysis, ensuring a strong foundational understanding. Plus, we supplement this knowledge with five relevant CPD QS accredited courses encompassing cutting-edge domains like Google Data Studio, Azure Machine Learning, AWS SageMaker Canvas, and more. No matter your current knowledge level, this course bundle will deepen your understanding of Data Analysis, Statistics & Economics and elevate your theoretical knowledge. Your achievement will be acknowledged with a hardcopy certificate for each QLS-endorsed course, a tangible testament to your dedication and hard work. In this digital age, skills in Data Analysis, Statistics & Economics are more than just desirable; they're indispensable. Equip yourself with the theoretical knowledge needed to navigate the complexities of these domains confidently. Whether you're looking to enhance your current skillset, seeking a career change, or just curious, this bundle is the perfect choice. Dive into the world of Data Analysis, Statistics & Economics today, and prepare to discover a wealth of knowledge. Key Features of the Data Analysis, Statistics & Economics Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our [Course_Title] bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Statistics QLS Course 02: Economics QLS Course 03: Basic Data Analysis 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Google Data Studio: Data Analytics Course 02: Azure Machine Learning Course 03: Machine Learning Model Using AWS SageMaker Canvas Course 04: Statistics & Probability for Data Science & Machine Learning Course 05: 2021 Data Science & Machine Learning with R from A-Z In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Data Analysis, Statistics & Economics courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes Gain a robust theoretical understanding of Statistics, Economics & Basic Data Analysis. Develop a strong foundation in Google Data Studio for data analytics. Acquire theoretical knowledge of Azure Machine Learning and its applications. Familiarise with Machine Learning model creation using AWS SageMaker Canvas. Understand the role of Statistics & Probability in Data Science and Machine Learning. Learn the principles and applications of Data Science & Machine Learning with R. Receive QLS-endorsed hardcopy certificates for three foundational courses. Dive into the comprehensive world of Data Analysis, Statistics & Economics with our tailored eight-course bundle. Our blend of three QLS-endorsed courses and five CPD QS accredited courses ensures a well-rounded understanding of these ever-relevant fields. Enhance your theoretical knowledge base and embrace the opportunity to explore different facets of these domains, from basic principles to the utilisation of cutting-edge tools. CPD 270 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in gaining a theoretical understanding of Data Analysis, Statistics & Economics. Professionals looking to supplement their existing knowledge with a broadened skillset. Students seeking to complement their academic studies with additional courses. Career changers looking to delve into the fields of Data Analysis, Statistics & Economics. Career path Data Analyst: £26,000 - £50,000 Economic Consultant: £30,000 - £60,000 Statistical Analyst: £30,000 - £55,000 Machine Learning Engineer: £40,000 - £80,000 Business Intelligence Analyst: £35,000 - £65,000 Operations Research Analyst: £28,000 - £55,000 Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

A Basics of Statistics course is crucial in the modern world, offering a foundation in understanding and applying statistical concepts. Statistics is integral to various aspects of life and work, providing tools to analyze data, make informed decisions, and solve problems efficiently. Whether you are interpreting data from surveys, understanding market trends, or making business forecasts, statistics is indispensable. Learning statistics enhances your ability to critically evaluate information, a skill highly valued in many professions. In the UK, proficiency in statistics can significantly improve job prospects, with roles such as data analyst, statistician, and market researcher in high demand. Salaries for these positions can range from £30,000 to £50,000 annually. The field of statistics is growing rapidly, with a projected increase of 33% over the next decade, reflecting its importance in data-driven industries. By understanding charts, graphs, sampling, probability, central tendency, and dispersion, you gain a versatile skill set. This course not only boosts your career prospects but also equips you with analytical skills that are essential in today's data-centric world. Key Features: CPD Certified Basics of Statistics Course Free Certificate from Reed CIQ Approved Basics of Statistics Course Developed by Specialist Lifetime Access Course Curriculum Module 01: Introduction to Statistics Module 02: Charts and Graphs Module 03: Sampling Module 04: Probability Module 05: Measuring Central Tendency Module 06: Measures of Dispersion Learning Outcomes Explain the fundamental concepts in statistics and their applications. Create and interpret various charts and graphs to visualize data. Understand different sampling methods and their significance in research. Calculate probabilities and apply them to real-world scenarios. Calculate and interpret measures of central tendency accurately. Analyze data variability using measures of dispersion. CPD 10 CPD hours / points Accredited by CPD Quality Standards Basics of Statistics 54:24 1: Module 01: Introduction to Statistics Preview 10:18 2: Module 02: Charts and Graphs 09:44 3: Module 03: Sampling 09:36 4: Module 04: Probability 09:06 5: Module 05: Measuring Central Tendency 08:05 6: Module 06: Measures of Dispersion 05:35 7: CPD Certificate - Free 01:00 8: Leave A Review 01:00 Who is this course for? This Basics of Statistics course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Basics of Statistics. Moreover, this course is ideal for: Students aiming to grasp foundational statistical principles. Professionals needing statistical knowledge for data interpretation. Individuals pursuing academic or research careers in related fields. Anyone interested in understanding statistical methods and applications. Learners seeking to enhance data analysis skills. Requirements There are no requirements needed to enrol into this Basics of Statistics course. We welcome individuals from all backgrounds and levels of experience to enrol into this Basics of Statistics course. Career path After finishing this Basics of Statistics course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Basics of Statistics are: Data Analyst Research Assistant Statistician Market Researcher Financial Analyst Business Intelligence Analyst Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Unlock the mysteries of the unknown with our comprehensive course on Introduction to Parapsychology and Paranormal. Delve into fascinating realms where science meets the supernatural, exploring a range of intriguing topics that will expand your understanding of the paranormal world. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access In this course, learners explore fascinating topics related to parapsychology and the paranormal. They delve into the mysteries surrounding UFOs and aliens, learning about investigations and different cultural beliefs. They also study astrology and its historical significance. The course examines the placebo effect, exploring how belief can influence health outcomes. Learners explore the concepts of probability and coincidence, gaining insights into how events may seem connected without being so. They investigate physical manifestations and reactions related to paranormal phenomena, and how these can affect people.The course also covers the influence of conscious and subconscious minds on paranormal experiences, and the practice of meditation as a tool for exploring these phenomena. Learners critically analyze theories related to parapsychology, and study the psychology behind claims of psychic fraud, understanding the complexities involved in such phenomena. Course Curriculum Module 01: Introduction to Parapsychology and Paranormal Module 02: Investigating Aliens and UFOs Module 03: The Origin and Legends in Different Cultures Module 04: Astrology Module 05: Placebo Effect Module 06: Probability and Coincidence Module 07: Physical Manifestations and Reactions Module 08: Manifestation on the Conscious & Subconscious Mind Module 09: Meditation Module 10: Exploring the Theories Module 11: The Psychology of Psychic Fraud Learning Outcomes: Understand Parapsychology theories and their relevance in modern society. Analyze cultural perspectives on paranormal phenomena and their historical context. Evaluate the scientific basis behind phenomena like astrology and placebo effects. Examine the psychological and physiological reactions to paranormal experiences. Discuss the ethical implications surrounding psychic phenomena and related practices. Apply meditation techniques to enhance understanding of consciousness and subconsciousness. CPD 10 CPD hours / points Accredited by CPD Quality Standards Introduction to Parapsychology and Paranormal 1:39:17 1: Module 01: Introduction to Parapsychology and Paranormal 07:44 2: Module 02: Investigating Aliens and UFOs 11:06 3: Module 03: The Origin and Legends in Different Cultures 08:04 4: Module 04: Astrology 06:50 5: Module 05: Placebo Effect 10:02 6: Module 06: Probability and Coincidence 09:54 7: Module 07: Physical Manifestations and Reactions 05:13 8: Module 08: Manifestation on the Conscious & Subconscious Mind 09:37 9: Module 09: Meditation 10:56 10: Module 10: Exploring the Theories 13:08 11: Module 11: The Psychology of Psychic Fraud 05:43 12: CPD Certificate - Free 01:00 Who is this course for? Individuals curious about paranormal phenomena and its scientific explanations. Students of psychology and sociology interested in unconventional human experiences. Researchers exploring cultural beliefs and their impact on paranormal studies. Those seeking to understand the intersection of psychology and metaphysics. Enthusiasts of meditation and its applications in paranormal exploration. Career path Paranormal Researcher Cultural Anthropologist Astrologer Ethical Psychologist Meditation Instructor Psychological Researcher Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.