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*** A Better Pathway for Rapid Growth! Limited Time Opportunity; Hurry Up! *** Ignite your dynamic career and strengthen your deep insight knowledge by signing up for Statistics: Analysis and Inference. This Statistics: Analysis and Inference is the ideal approach for you to obtain a thorough understanding and knowledge of the subject. We are concerned about the progression of your career. Therefore, after conducting extensive studies and consulting with experienced personnel, we formulated this outstanding Statistics: Analysis and Inference course to improve your pertinent skills. In this easy-to-digest Statistics: Analysis and Inference course, you will get exclusive training, which will enable you to stand out in this competitive market. However, the course covers all of the recent materials in order to keep you up to date with the job market and make you a good fit for your career. This top-notch Statistics: Analysis and Inference course curriculum comprises basic to advanced levels of modules that will increase your skillsets. After completing this, you will attain the productivity to succeed in your organisation. So, if you are eager to see yourself in a gratifying Statistics: Analysis and Inference career, then enrol in our course today! What will make you stand out? On completion of this online course, you will gain: After successfully completing the Statistics: Analysis and Inference Course, you will receive a FREE PDF Certificate as evidence of your newly acquired abilities. Lifetime access to the whole collection of Statistics: Analysis and Inference learning materials. The course online test with immediate results Enroling in this Course has no additional costs. You can study and complete the course at your own pace. Study for the Statistics: Analysis and Inference course using any internet-connected device, such as a computer, tablet, or mobile device. The substantial Statistics: Analysis and Inference is designed to help you demonstrate the preliminary to in-depth level of learning regarding this topic. Moreover, you will be provided with the most knowledgeable and informative modules for your lifetime by enroling in this Statistics: Analysis and Inference just once. Furthermore, as you proceed through the modules of this course, you will discover the fundamentals of Statistics: Analysis and Inference and explore the key topics such as: Statistics: Analysis and Inference 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 Therefore, reinforce your knowledge and furnish your skills by enroling in our Statistics: Analysis and Inference course. Take one step closer to achieving your goal. Show off your new skills with a certificate of completion When you have finished all of the Statistics: Analysis and Inference course lectures, a digital certificate will be available for download. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Statistics: Analysis and Inference Course the Right Option for You? This Statistics: Analysis and Inference course is recommended for anyone who is interested in learning more about this topic. You'll learn the fundamental ideas and gain a comprehensive understanding of the topic by taking this course. This Statistics: Analysis and Inference course is open to everybody. You can access the course materials from any location in the world and there are no requirements for enrolment. You should enrol in this Statistics: Analysis and Inference course if you: Aspire to understand Statistics: Analysis and Inference better. Already working on Statistics: Analysis and Inference and eager to learn more. Is a student pursuing a relevant field of study? Trying to get a job in Statistics: Analysis and Inference-related fields. Requirements Without any formal requirements, you can delightfully enrol in this Statistics: Analysis and Inference course. Just get a device with internet connectivity and you are ready to start your learning journey. Thus, complete this course at your own pace. Career path The aim of this exclusive Statistics: Analysis and Inference course is to help you toward your dream career. So, complete this course and enhance your skills to explore opportunities in relevant areas.
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The future is truly yours to seize with this Learn Linux in 5 Days. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online — Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion – Digital / PDF Certificate After completing the Learn Linux in 5 Days course, you can order your CPD Accredited Digital/ PDF Certificate for £5.99. Certificate of Completion – Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Learn Linux in 5 Days is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don’t have the time to devote to traditional education. Requirements You don’t need any educational qualification or experience to enrol in the Learn Linux in 5 Days course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Learn Linux in 5 Days Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Unit 01: Overview Course Overview 00:03:00 Unit 02: Day 1 Background and Introduction 00:07:00 Linux Distributions 00:05:00 Installing VirtualBox on Windows 00:03:00 Installing VirtualBox on Mac 00:03:00 Installing Linux Using an Image for VirtualBox 00:05:00 VirtualBox Troubleshooting Tips 00:02:00 When to Install Linux from Scratch 00:15:00 Installing CentOS from Scratch / CentOS Manual Installation Process 00:23:00 Getting Connected 00:11:00 Connect Directly 00:02:00 Unit 03: Day 2 The Linux Directory Structure 00:10:00 The Shell 00:08:00 Basic Linux Commands 00:05:00 Teach Yourself to Fish 00:06:00 Working with Directories 00:09:00 Listing Files and Understanding LS Output 00:12:00 Unit 04: Day 3 File and Directory Permissions Explained - Part One 00:11:00 File and Directory Permissions Explained - Part Two 00:09:00 View Files and the Nano Editor 00:05:00 Editing Files in Vi 00:10:00 Editing Files with Emacs 00:06:00 Finding Files and Directories 00:07:00 Graphical Editors 00:04:00 Unit 05: Day 4 Deleting, Copying, Moving, and Renaming Files 00:11:00 Wildcards - Part One 00:05:00 Wildcards - Part Two 00:07:00 Input, Output, and Redirection 00:08:00 Comparing Files 00:04:00 Searching in Files and Using Pipes 00:10:00 Transferring and Copying Files over the Network 00:07:00 Customizing the Shell Prompt 00:05:00 Shell Aliases 00:04:00 Unit 06: Day 5 Environment Variables 00:08:00 Processes and Job Control 00:12:00 Scheduling Repeated Jobs with Cron 00:06:00 Switching Users and Running Commands as Others 00:08:00 Shell History and Tab Completion 00:13:00 Installing Software on RPM Based Linux Distros: RedHat, CentOS, AlmaLinux, Rocky 00:21:00 Installing Software on Debian Based Linux Distros: Debian, Ubuntu, Kali Linux 00:12:00 Conclusion - Congratulations and Thank You! 00:01:00 Unit 07: Addendum - Connecting to a Linux Virtual Machine over the Network Connecting to a Linux Virtual Machine over the Network 00:11:00 Unit 08: Bonus Bonus - Installing NGINX, MySQL, PHP, and WordPress on Ubuntu 00:09:00 Unit 09: Resources Resources 00:15:00
About Course Master the statistical skills you need to understand and analyze biomedical research data with this Biostatistics Online Course Are you working on public health, clinical medicine, biology or related fields? Are you familiar with the process of obtaining an accurate picture from a large number of data points? This Biostatistics Online Course demonstrates how to use statistical techniques to summarize the characteristics of a data set to draw meaningful conclusions. In this course, you will learn all about Biostatistics and its application in medical and life sciences. This course is a comprehensive introduction to the field of biostatistics, covering a wide range of topics from basic statistical concepts to more advanced biostatistical methods.Biostatistics Online Course modules: Module 1: Introduction to Biostatistics This module provides an overview of biostatistics, its applications in the field of health sciences, and the different types of study designs used in biomedical research. It also introduces the basic concepts of statistics, including data types, variables, inferential statistics, hypothesis testing, and the role of statistics in biostatistics and evidence-based medicine. Module 2: Probability This module covers the basics of probability, including probability distributions, random variables, and sampling distributions. Students will learn how to calculate and interpret probabilities in the context of biomedical research. Module 3: Descriptive Statistics This module covers the different measures of central tendency and variability, as well as graphical representations of data. Students will learn how to describe and summarize data from biomedical studies using these methods. Module 4: Inferential Statistics This module covers the fundamental concepts of inferential statistics, including estimation, hypothesis testing, confidence intervals, and p-values. Students will learn how to use these methods to draw conclusions about populations based on data from samples. Module 5: Regression Analysis This module introduces the basics of regression analysis, including simple linear regression, multiple linear regression, and logistic regression. Students will learn how to use these methods to model relationships between variables and to make predictions. Module 6: Biostatistics Tools This module covers a variety of biostatistical tools that are commonly used in biomedical research, including survival analysis, clinical trials, and epidemiological studies. Students will learn how to use these tools to answer specific research questions. Module 7: Statistical Software and Tools This module introduces students to popular statistical software programs, such as R and SPSS. Students will learn how to import, manage, and analyze data using these software programs, as well as how to perform statistical tests and generate summary statistics. Module 8: Ethical Considerations and Reporting Guidelines This module covers the importance of ethical considerations in biostatistics and the reporting guidelines for statistical analysis in research publications. Students will also learn about best practices for data management and data sharing. Why You Should Take This Course Whether you are a student, researcher, or healthcare professional, biostatistics is an essential skill for understanding and interpreting biomedical research. This course provides a comprehensive and accessible introduction to the field of biostatistics, covering all the essential topics that you need to know. By taking this course, you will learn how to: Design and conduct biomedical studies Collect and manage data Analyze data using statistical methods Interpret statistical results Communicate statistical findings effectively This course is ideal for students in the fields of public health, medicine, nursing, epidemiology, and other health sciences. It is also beneficial for researchers, healthcare professionals, and anyone else who wants to learn more about biostatistics. Enroll today and start your journey to becoming a biostatistics expert! To find more course in this topic, search more . What Will You Learn? Design and conduct biomedical studies Collect and manage data Analyze data using statistical methods Interpret statistical results Communicate statistical findings effectively Course Content Introduction to Biostatistics Introduction to Biostatistics Probability Module 2 Probability Descriptive Statistics Descriptive Statistics Inferential Statistics Inferential Statistics Regression Analysis Regression Analysis Biostatistics Tools Biostatistics Tools Statistical Software and Tools Statistical Software and Tools Ethical Considerations and Reporting Guidelines Ethical Considerations and Reporting Guidelines A course by Xpert Learning RequirementsBasic understanding of Mathematics and Statistics Audience Students in health sciences Researchers Healthcare professionals Anyone interested in learning about biostatistics Audience Students in health sciences Researchers Healthcare professionals Anyone interested in learning about biostatistics
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Duration 2 Days 12 CPD hours This course is intended for This course is designed for all project managers and project team leaders. Overview At course completion, students will be able to identify, analyze, respond to, and control project risks. This course focuses on improving the project manager?s risk management expertise, from initial planning through project closure. Participants will apply all course principles to a work-related case study taken directly from their work environment. Risk Management Overview Risk Management Benefit and Uses Project Risk Management Project Management Life Cycle Initiating Process Group Initiating Process Group Overview Develop Project Charter Identify Stakeholders Project Selection Criteria ROI Analysis ROI Methods Risk Complexity Index Project Selection Planning Process Group Planning Process Group Overview Scope Risks Schedule Risks Resource Risks Plan Risk Management Identify Risks Delphi Technique Subject Matter Expert Input Brainstorming Fishbone Diagrams Process Analysis Five Whys Influence Diagrams Risk Breakdown Structure (RBS) Risk Register Perform Qualitative Risk Analysis Probability and Impact Assessment Probability and Impact Chart Perform Quantitative Risk Analysis Three point estimates PERT Triangular Distributions Outlier Considerations Geometric Mean Normal Distributions Methods Tornado Diagrams Expected Monetary Value (EMV) Monte Carlo Plan Risk Responses Risk Response Strategies Overall Project Risk Checklists Executing, Monitoring and Controlling Process Groups Executing Process Group Overview Monitoring and Controlling Process Group Overview Control Risks Project Monitoring Longer Projects Closing Process Group Closing Process Group Overview Close Project or Phase Risk Activities During Closing Process Group Post-Project Risk Assessment