Courses

Learn essential concepts in biostatistics through a comprehensive 30-minute tutorial covering evaluation of diagnostic tests, including sensitivity and specificity, negative and positive predictive values, likelihood ratio, and post-test probability. Explore various study types such as cross-sectional, case-control, cohort, case report, and case series. Gain a thorough understanding of the ROC curve and its applications. Delve into the crucial distinctions between precision and accuracy in statistical analysis, equipping yourself with fundamental knowledge for interpreting and conducting medical research.

Explore biostatistics through a comprehensive series of lectures covering essential topics such as reading scientific papers, advanced statistical techniques, designing metrics, and various types of ANOVA. Learn about experimental design, including FDA testing and sources of bias, and master the chi-squared test for independence and goodness of fit. Gain valuable insights into effective visual data display, from introductory concepts to advanced techniques for adding information and avoiding manipulative presentations. Enhance your understanding of statistical analysis and its applications in biological research.

Explore fundamental concepts and techniques in biostatistics through a comprehensive 10-hour course. Delve into measurements, study designs, and frequency distributions. Master statistical measures like mean, median, and mode. Gain proficiency in probability theory, including binomial and normal distributions. Learn about statistical inference, hypothesis testing, and confidence intervals. Investigate correlation, regression, and multiple linear regression. Study t-distributions and ANOVA for comparing means. Examine nonparametric tests such as Kruskal-Wallis. Analyze categorical variables and proportions using appropriate statistical methods.

In this undergraduate-level biostatistics course, the learners will be introduced to the use of statistics and study designs in biology. Upon successful completion of this course, learners will be able to design experimental, quasi-experimental and observational studies that will meet regulatory guidelines; collect, analyze, and interpret data using appropriate statistical tools. These are skills utilized in bio-statistical research in healthcare as well as other biology related fields. The importance of having these skills is recognized within public health sectors relating to analysis of drug effectiveness and risk factors for different illnesses, effectiveness of heath care interventions as well as helping explain biological phenomena. In addition to fulfilling requirements in undergraduate college programs, this undergraduate level course also provides future healthcare professionals with foundational coursework required for successful entry into a health professions graduate program or medical school. This course may also spark further interest for the learner towards a more advanced degree in biostatistics. The field of biostatistics provides an increasing opportunity for employment. According to the United States Bureau of Labor Statistics, this field will experience a 14% employment growth between 2010 and 2020.

Learn how to manage your manager. In this course, adapted from the podcast How to Be Awesome at Your Job, Mary Abbajay explains how to build a good relationship with your boss.

Learn how to create and manage apps with SCCM and prepare for Microsoft certification exam 70-703. See how to deploy apps using PowerShell scripts, and deploy App-V virtual apps.

Managed Service for Microsoft Active Directory (AD) is a highly available, hardened Google Cloud service running actual Microsoft AD that enables you to manage authentication and authorization for your AD-dependent workloads, automate AD server maintenance and security configuration, and connect your on-premises AD domain to the cloud.

Dive into an 11-hour course on Applied Biostatistics taught by Dr. Sharoon Hanook at the Virtual University of Pakistan. Gain comprehensive knowledge through 86 detailed topics covering various aspects of biostatistical analysis and applications. Explore fundamental concepts, statistical methods, and practical techniques essential for conducting and interpreting biological research. Develop skills in data analysis, hypothesis testing, and experimental design relevant to the field of biology. Enhance your understanding of statistical software and tools commonly used in biostatistical research.

Dive into a comprehensive 6-hour video series on Biostatistics for the USMLE Step 1 exam. Master essential concepts including prevention strategies, drug advertisement analysis, abstract interpretation, cumulative probability, bias and confounding factors, effect modulation, statistical tests like t-test and ANOVA, Kaplan-Meier curves, and population health metrics. Explore population pyramids, Metcalfe's Law, and practice with viewer-requested questions. Gain a solid understanding of case-control studies, odds ratios, cohort studies, and relative risk calculations. Prepare thoroughly for guaranteed exam topics and enhance your biostatistical knowledge through extensive practice and review sessions.

Learn probability, statistics, linear regression, correlation analysis, clinical research, data analysis,SAS programming What you'll learn: What is biostatistics?What are variables?Types of variablesWhat is data?Types of DataWhat is sampling?What is distribution?Types of distributionsWhat is estimation?Types of estimationsWhat is probability?How to find the probability of different data?What is regression?Coefficient of regressionCorrelationCoefficient of correlationRank correlation In this course, you will learn all about the introduction to biostatistics and its application in medical and life sciences. The contents of the introduction to biostatistics/clinical research are purely the biostatistics contents and the courses are being taught in every biological and medical science. This course of introduction to biostatistics is highly demanded in all the fields where life exists. All the branches of medical sciences are totally blinded without the application of statistics. Since today sciences heavily rely on the introduction to biostatistics and therefore the course has its huge importance due to its uniqueness. There are more than six sections and 5 hours of videos contents in the course and every section contains the videos as per their titles. The course has been designed on PowerPoint slides and on writing tablets along with instructor face-to-face teaching. In the beginning, I have explained the basics of biostatistics and when you will move sections to sections then you will learn the advanced topics of biostatistics.The course has applications in many fields like pharmaceutical, medical, agriculture, life sciences, business study, IT industry, and in every field of life. Therefore, every student of whatever the field should enroll in this course. Due to its vast and emerging applications and interest, many of the students around the world search for the complete content on different platforms including YouTube but they could not find the complete course. That's why I have decided to take this course and of course, you can learn now all these contents without any hesitations.I would like to suggest the following things to take this course1. If you are just watching the videos and you think that you will get mastery over the subjects then I can say that the course is not for you. You will learn only the distorted contents by watching and get the mastery when you will make the notes by writing in your notebook. Not every content and concentrate on your learning by watching and put questions on every video where you will that you have not clear.2. Put the questions to your instructors and your instructor will give the prompt response of each of your questions until you will not get mastery over your subjects3. Don't skip any video and watch the complete course. Set your time and watch 3 to 4 videos daily or less and complete the course in one weak.4. Read other books or ask an instructor which book they should study to get mastery over the subjects5. If you are a student of a university or college and you are taking this course and attending the offline classes in your classroom then compare this course with your classroom contents. Discuss these contents with your fellows and teachers.Honestly, it is totally the blindness when you just watch the videos and that means that you just want to taste things or you just have distorted learning.Apply all of the above instructions then this course is much valuable for you and otherwise, you will just waste the money. However, you can enroll because of a thirty-day money-back guarantee as well. When you will complete the course then you will have the certificate of completion and you can show this certificate to your company or you can use it as your profile.Most importantly, if you are a student of research in any discipline then this course is much valuable for you because in today's research disciplines the research is statistical and your research is incomplete without showing the statistical data. Hope you will all follow my instructions and will like to enroll in my course. And forget to give the feedback of the course by rating and writing the review. Best of luck and please stay healthy. See you in the course.

Explore the fundamental concepts of biostatistics in this comprehensive 35-minute lecture. Delve into the definitions of statistics and biostatistics, understanding their key concerns and applications in research studies. Learn about different types of data, variables, and random variables, as well as the distinctions between population and sample. Discover various measurement scales, including nominal, ordinal, interval, and ratio scales. Gain insights into statistical inference, simple random sampling, and experimental design. Conclude with an overview of the scientific method and its essential elements, providing a solid foundation for conducting and interpreting biostatistical research.

Gain a comprehensive understanding of biostatistics in this 13-hour undergraduate-level course. Learn to design experimental, quasi-experimental, and observational studies that meet regulatory guidelines. Develop skills in collecting, analyzing, and interpreting data using appropriate statistical tools. Explore topics such as data summaries, probability, discrete and continuous probability distributions, sampling distributions, statistical estimation, hypothesis testing, and various study designs including cohort, case-control, and cross-sectional studies. Master concepts like one-way ANOVA, chi-squared distribution, and completely randomized experimental design. Acquire essential skills for bio-statistical research in healthcare and other biology-related fields, crucial for analyzing drug effectiveness, assessing risk factors for illnesses, evaluating healthcare interventions, and explaining biological phenomena.

Explore a comprehensive series of biostatistics videos covering essential concepts for medical professionals and USMLE preparation. Learn about sensitivity and specificity without memorization, positive and negative predictive values, Bayes' theorem, study designs including cohort, case-control, cross-sectional, and clinical trials, relative risk versus odds ratio, likelihood ratios, attributable risk, absolute risk reduction, and number needed to treat (NNT) versus number needed to harm (NNH). Gain a solid foundation in biostatistical analysis and interpretation for evidence-based medical practice.

Learn to manage Windows Server infrastructure using Active Directory in this comprehensive 14-hour course. Master essential skills including installing Windows Server 2016, configuring disk management, enabling remote desktop access, and managing user accounts. Explore Active Directory concepts, create organizational units, manage users and groups, and set up DNS and DHCP servers. Dive into Internet Information Services (IIS), FTP server management, and Group Policy implementation. Gain hands-on experience with advanced topics such as installing additional domain controllers, configuring DHCP failover, and implementing file services. By the end of this course, develop the expertise to effectively administer and maintain a Windows Server environment using Active Directory.

Learn to manage Windows infrastructure using Active Directory in this comprehensive 16-hour course. Explore essential topics including installation and configuration of Windows Server 2016, Active Directory Domain Services, DNS, DHCP, and Group Policy Objects. Master user and group management, organizational units, and file services. Gain hands-on experience with distributed file systems, FTP servers, and IIS. Discover advanced techniques for backup and restoration, DHCP failover, and PowerShell scripting. Develop practical skills to effectively administer and maintain a Windows Server environment, from basic configurations to complex network services.

COURSE PLAN: Observations from biological laboratory experiments, clinical trials, and health surveys always carry some amount of uncertainty. In many cases, especially for laboratory experiments, it is inevitable to just ignore this uncertainty due to large variation in observations. Tools from statistics are very useful in analyzing this uncertainty and filtering noise from data. Also, due to the advancement of microscopy and molecular tools, rich data can be generated from experiments. To make sense of this data, we need to integrate this data into a model using tools from statistics. In this course, we will discuss different statistical tools required to (i) analyze our observations, (ii) design new experiments, and (iii) integrate a large number of observations in a single unified model.

Dive into a comprehensive 7-hour tutorial on biostatistics and statistical methods, covering essential topics such as hypothesis testing, z-tests, chi-square tests, Student's t-tests, and Fisher's F tests. Learn about samples and populations in statistics, one-tailed and two-tailed tests, significance levels, and the procedure for hypothesis testing. Explore critical z-values, null and alternative hypotheses, and gain practical experience through numerous questions and solutions. Delve into the fundamentals of t-distributions, paired and unpaired t-tests, goodness of fit tests, and the properties of F distributions. Conclude with an in-depth look at Analysis of Variance (ANOVA), including both one-way and two-way ANOVA techniques, accompanied by step-by-step explanations and numerical problems to reinforce your understanding of these crucial biostatistical concepts.

Explore a series of concise lectures covering fundamental biostatistical concepts and analytical techniques. Gain insights into correlation, t-tests, ANCOVA, and MANOVA, while also delving into non-parametric analysis and ordinal scale data analysis methods. Learn essential skills for developing a prospectus and creating effective dissertation prospectus presentations. Master key biostatistical tools and techniques to enhance your research capabilities and data interpretation skills.

Explore a comprehensive video series on biostatistics covering essential topics such as measures of central tendency, dispersion, normal distribution, sampling techniques, sample size calculation, and both parametric and non-parametric tests. Learn how to calculate mean, median, and mode, understand the impact of outliers, and master concepts like range, standard deviation, and interquartile range. Dive into the normal curve (Bell's curve/Gaussian distribution) and gain practical skills in creating pie charts, bar graphs, and line graphs using Excel. Discover the fundamentals of research variables, common errors in research, and statistical testing methods. Understand data collection and presentation techniques, hypothesis formulation, and the significance of p-values in hypothesis testing. Gain insights into t-tests, ANOVA, and chi-square tests through clear explanations and examples.

Explore a comprehensive collection of biostatistics presentations from the useR! 2020 conference. Dive into topics ranging from clinical trial report generation using R and knitr to robust alternatives for comparing time-event survival curves. Learn about innovative tools and methodologies such as Mortality Minder, pepFunk for metaproteomic gut microbiome data enrichment, and the updated compareGroups package for building descriptive tables. Discover applications in pediatric leukemia treatment comparisons, MUAC and BMI z-score generation, and AI-enhanced ETL engines. Gain insights from both regular presentations and lightning talks, covering a wide spectrum of biostatistical applications and advancements in the field.