14 Biostatistics courses

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

Data science is quickly taking over all aspects of life, and a huge impact of this can be seen in the healthcare department. From medical imaging to genomics, we now leverage data to make better medical decisions. In this course, we will see how clinical trial data can be effectively managed using SAS.

The Simplest Guide™ to Advanced SAS Programming | Macros | SQL is an accelerated path to learning advanced SAS programming taught in a simple, visual, and immersive style. If you already know SAS, this course will equip you with skills to reveal amazing insights within your data, while helping you prepare for advanced SAS certification exams.

A comprehensive, simple, visual guide and a super-easy course using SAS with no installation on your computer necessary. This course uses the latest SAS Studio offered through SAS OnDemand and it's completely free. 12+ hours of knowledge-packed lectures, videos, quiz questions, followed by two practical and hands-on guided exercises and projects.

Our up-to-date course covers the latest PMBOK 6, 7, and Agile updates, providing a simplified guide to project management. Learn the framework, processes, and knowledge areas, and see how they work together to manage projects and stakeholders. It is perfect for those seeking to efficiently manage projects and pass the PMP exam.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Venture into the world of data interpretation with our illuminating 'Applied Statistics' course. In an era where every decision is data-driven, the art of statistics becomes an indispensable tool. This course masterfully unfolds the complexities of statistical analysis, from the basics to advanced methodologies. Whether it's understanding central tendencies, charting out data, or avoiding common pitfalls, we've got it all covered. Set yourself on a path to make informed decisions and discern patterns like never before. Learning Outcomes * Understand the core concepts and fundamentals of statistics. * Master methods of measuring central tendencies and dispersion in datasets. * Dive deep into correlation, regression, and hypothesis testing techniques. * Attain proficiency in data visualisation using charts and graphs. * Identify and rectify ten prevalent statistical mistakes. WHY CHOOSE THIS APPLIED STATISTICS COURSE? * Unlimited access to the course for a lifetime. * Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. * Structured lesson planning in line with industry standards. * Immerse yourself in innovative and captivating course materials and activities. * Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. * Flexibility to complete the Applied Statistics Course at your own pace, on your own schedule. * Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. WHO IS THIS APPLIED STATISTICS COURSE FOR? * Students embarking on a journey in data science or related fields. * Business analysts seeking to enhance their data interpretation skills. * Researchers keen to strengthen their statistical analysis techniques. * Professionals in various industries aiming to make data-backed decisions. * Educators looking to teach statistical methods more effectively. CAREER PATH * Data Analyst - £25,000 - £40,000 * Statistical Consultant - £30,000 - £50,000 * Research Scientist (Statistics) - £35,000 - £55,000 * Econometrician - £40,000 - £60,000 * Quantitative Analyst - £45,000 - £70,000 * Biostatistician - £30,000 - £50,000 PREREQUISITES This Applied Statistics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Applied Statistics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. CERTIFICATION After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. COURSE CURRICULUM Module 01: Introduction to Statistics Introduction to Statistics 00:18:00 Module 02: Measuring Central Tendency Measuring Central Tendency 00:18:00 Module 03: Measures of Dispersion Measures of Dispersion 00:11:00 Module 04: Correlation and Regression Analysis Correlation and Regression Analysis 00:35:00 Module 05: Probability Probability 00:16:00 Module 06: Sampling Sampling 00:11:00 Module 07: Charts and Graphs Charts and Graphs 00:21:00 Module 08: Hypothesis Testing Hypothesis Testing 00:25:00 Module 09: Ten Common Statistical Mistakes Ten Common Statistical Mistakes 00:30:00 Assignment Assignment - Applied Statistics 00:00:00

*** 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.

Dive into the world of numbers and patterns with our 'Statistical Analysis Course,' where data tells stories and predictions shape the future. In the first module, you're introduced to the vast landscape of statistics, a toolset essential for deciphering the tales hidden within data. As you progress, familiarise yourself with the fundamental statistical terminology, paving the way for a deeper grasp of how data clusters around central values. The journey through this course is a blend of theory and application, from mastering the intricacies of data variability to the advanced realms of regression analysis and predictive algorithms. Learning Outcomes * Gain a solid understanding of statistics and its significance in various fields. * Learn to describe and utilise basic statistical terminology and methods. * Comprehend and calculate measures of central tendency and data dispersion. * Develop skills in probability, distribution analysis, and statistical inference. * Apply statistical methods correctly and appreciate the Bayesian approach for learning from data. WHY CHOOSE THIS STATISTICAL ANALYSIS COURSE? * Unlimited access to the course for a lifetime. * Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. * Structured lesson planning in line with industry standards. * Immerse yourself in innovative and captivating course materials and activities. * Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. * Flexibility to complete the Statistical Analysis Course Course at your own pace, on your own schedule. * Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. WHO IS THIS STATISTICAL ANALYSIS COURSE FOR? * Aspiring data analysts seeking a foundation in statistics. * Business professionals who require analytical skills for data-driven decision-making. * Students of the social sciences, economics, or any field involving data interpretation. * Researchers needing a robust grasp of statistical analysis methods. * Anyone interested in understanding how to utilise data for predictions and analytics. CAREER PATH * Data Analyst - £25,000 to £40,000 * Market Research Analyst - £23,000 to £35,000 * Quantitative Analyst - £35,000 to £70,000 * Statistical Researcher - £27,000 to £45,000 * Business Intelligence Analyst - £30,000 to £55,000 * Econometrician - £30,000 to £60,000 PREREQUISITES This Statistical Analysis Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Statistical Analysis Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. CERTIFICATION After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. COURSE CURRICULUM Module 01: The Realm of Statistics The Realm Of Statistics 00:26:00 Module 02: Basic Statistical Terms Basic Statistical Terms 00:41:00 Module 03: The Center of the Data The Center of the Data 00:03:00 Module 04: Data Variability Data Variability 00:15:00 Module 05: Binomial and Normal Distributions Binomial and Normal Distributions 00:14:00 Binomial Probabilities Table 00:00:00 Z-Table 00:00:00 Module 06: Introduction to Probability Introduction to Probability 00:35:00 Module 07: Estimates and Intervals Estimates and Intervals 00:34:00 Module 08: Hypothesis Testing Hypothesis Testing 00:31:00 Module 09: Regression Analysis Regression Analysis 00:11:00 Module 10: Algorithms, Analytics and Predictions Algorithms, Analytics and Prediction 00:47:00 Module 11: Learning From Experience: The Bayesian Way Learning From Experience: The Bayesian Way 00:31:00 Module 12: Doing Statistics: The Wrong Way Doing Statistics: The Wrong Way 00:37:00 Module 13: How We Can Do Statistics Better How We Can Do Statistics Better 00:41:00 Assignment Assignment - Statistical Analysis Course 00:00:00

OVERVIEW This comprehensive course on Statistics & Probability for Data Science & Machine Learning will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Statistics & Probability for Data Science & Machine Learning 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? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. WHO IS THIS COURSE FOR? There is no experience or previous qualifications required for enrolment on this Statistics & Probability for Data Science & Machine Learning. It is available to all students, of all academic backgrounds. REQUIREMENTS Our Statistics & Probability for Data Science & Machine Learning 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 10 sections • 89 lectures • 11:27:00 total length •Welcome!: 00:02:00 •What will you learn in this course?: 00:06:00 •How can you get the most out of it?: 00:06:00 •Intro: 00:03:00 •Mean: 00:06:00 •Median: 00:05:00 •Mode: 00:04:00 •Mean or Median?: 00:08:00 •Skewness: 00:08:00 •Practice: Skewness: 00:01:00 •Solution: Skewness: 00:03:00 •Range & IQR: 00:10:00 •Sample vs. Population: 00:05:00 •Variance & Standard deviation: 00:11:00 •Impact of Scaling & Shifting: 00:19:00 •Statistical moments: 00:06:00 •What is a distribution?: 00:10:00 •Normal distribution: 00:09:00 •Z-Scores: 00:13:00 •Practice: Normal distribution: 00:04:00 •Solution: Normal distribution: 00:07:00 •Intro: 00:01:00 •Probability Basics: 00:10:00 •Calculating simple Probabilities: 00:05:00 •Practice: Simple Probabilities: 00:01:00 •Quick solution: Simple Probabilities: 00:01:00 •Detailed solution: Simple Probabilities: 00:06:00 •Rule of addition: 00:13:00 •Practice: Rule of addition: 00:02:00 •Quick solution: Rule of addition: 00:01:00 •Detailed solution: Rule of addition: 00:07:00 •Rule of multiplication: 00:11:00 •Practice: Rule of multiplication: 00:01:00 •Solution: Rule of multiplication: 00:03:00 •Bayes Theorem: 00:10:00 •Bayes Theorem - Practical example: 00:07:00 •Expected value: 00:11:00 •Practice: Expected value: 00:01:00 •Solution: Expected value: 00:03:00 •Law of Large Numbers: 00:08:00 •Central Limit Theorem - Theory: 00:10:00 •Central Limit Theorem - Intuition: 00:08:00 •Central Limit Theorem - Challenge: 00:11:00 •Central Limit Theorem - Exercise: 00:02:00 •Central Limit Theorem - Solution: 00:14:00 •Binomial distribution: 00:16:00 •Poisson distribution: 00:17:00 •Real life problems: 00:15:00 •Intro: 00:01:00 •What is a hypothesis?: 00:19:00 •Significance level and p-value: 00:06:00 •Type I and Type II errors: 00:05:00 •Confidence intervals and margin of error: 00:15:00 •Excursion: Calculating sample size & power: 00:11:00 •Performing the hypothesis test: 00:20:00 •Practice: Hypothesis test: 00:01:00 •Solution: Hypothesis test: 00:06:00 •T-test and t-distribution: 00:13:00 •Proportion testing: 00:10:00 •Important p-z pairs: 00:08:00 •Intro: 00:02:00 •Linear Regression: 00:11:00 •Correlation coefficient: 00:10:00 •Practice: Correlation: 00:02:00 •Solution: Correlation: 00:08:00 •Practice: Linear Regression: 00:01:00 •Solution: Linear Regression: 00:07:00 •Residual, MSE & MAE: 00:08:00 •Practice: MSE & MAE: 00:01:00 •Solution: MSE & MAE: 00:03:00 •Coefficient of determination: 00:12:00 •Root Mean Square Error: 00:06:00 •Practice: RMSE: 00:01:00 •Solution: RMSE: 00:02:00 •Multiple Linear Regression: 00:16:00 •Overfitting: 00:05:00 •Polynomial Regression: 00:13:00 •Logistic Regression: 00:09:00 •Decision Trees: 00:21:00 •Regression Trees: 00:14:00 •Random Forests: 00:13:00 •Dealing with missing data: 00:10:00 •ANOVA - Basics & Assumptions: 00:06:00 •One-way ANOVA: 00:12:00 •F-Distribution: 00:10:00 •Two-way ANOVA - Sum of Squares: 00:16:00 •Two-way ANOVA - F-ratio & conclusions: 00:11:00 •Wrap up: 00:01:00 •Assignment - Statistics & Probability for Data Science & Machine Learning: 00:00:00