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    • Biostatistics

    필터링 기준

    "biostatistics"에 대한 51개의 결과

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      Johns Hopkins University

      Biostatistics in Public Health

      획득할 기술: Probability & Statistics, General Statistics, Biostatistics, Regression, Statistical Analysis, Business Analysis, Data Analysis, Statistical Tests, Econometrics, Experiment, Basic Descriptive Statistics, Correlation And Dependence, Estimation, Mobile Development, Probability Distribution, iOS Development, Data Visualization, Exploratory Data Analysis, Feature Engineering, Machine Learning, Plot (Graphics), Statistical Visualization

      4.8

      (2k개의 검토)

      Beginner · Specialization · 3-6 Months

    • 무료

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      University of Cape Town

      Understanding Clinical Research: Behind the Statistics

      획득할 기술: Business Analysis, Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Basic Descriptive Statistics, Experiment, Research and Design, Statistical Tests, Probability Distribution

      4.8

      (3.1k개의 검토)

      Mixed · Course · 1-3 Months

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      Imperial College London

      Statistical Analysis with R for Public Health

      획득할 기술: Probability & Statistics, General Statistics, Regression, Business Analysis, Statistical Analysis, Data Analysis, Machine Learning, Machine Learning Algorithms, Statistical Programming, Mathematics, Statistical Tests, R Programming, Probability Distribution, Basic Descriptive Statistics, Correlation And Dependence, Econometrics, Estimation, Bayesian Statistics, Exploratory Data Analysis, Critical Thinking, Data Analysis Software, Forecasting

      4.7

      (1.7k개의 검토)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Advanced Statistics for Data Science

      획득할 기술: Probability & Statistics, General Statistics, Mathematics, Probability Distribution, Regression, Linear Algebra, Bayesian Statistics, Experiment, Econometrics, Machine Learning, Basic Descriptive Statistics, Biostatistics, Calculus, Statistical Tests, Algebra, Artificial Neural Networks, Dimensionality Reduction, Machine Learning Algorithms, Statistical Machine Learning, Communication, Correlation And Dependence, Data Analysis, Estimation, Exploratory Data Analysis, Statistical Analysis

      4.4

      (688개의 검토)

      Advanced · Specialization · 3-6 Months

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      Johns Hopkins University

      Genomic Data Science

      획득할 기술: Probability & Statistics, Bioinformatics, Computer Programming, Statistical Programming, Python Programming, Data Analysis, R Programming, Theoretical Computer Science, Algorithms, Business Analysis, General Statistics, Statistical Analysis, Data Analysis Software, Computer Programming Tools, Biostatistics, Other Programming Languages, Software Engineering, Big Data, Data Management, Data Visualization, Amazon Web Services, Cloud Applications, Cloud Computing, Cloud Platforms, Statistical Tests, Basic Descriptive Statistics, Computational Thinking, Exploratory Data Analysis, Accounting, Advertising, Communication, Computer Graphics, Financial Analysis, Graphics Software, Marketing

      4.5

      (5.8k개의 검토)

      Intermediate · Specialization · 3-6 Months

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      Johns Hopkins University

      Design and Interpretation of Clinical Trials

      획득할 기술: Probability & Statistics, Data Analysis, Experiment, General Statistics, Basic Descriptive Statistics

      4.7

      (4.1k개의 검토)

      Mixed · Course · 1-3 Months

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      무료

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      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      획득할 기술: Bioinformatics, Computer Programming, Probability & Statistics, Python Programming, Statistical Programming, Algorithms, Theoretical Computer Science

      4.2

      (1.4k개의 검토)

      Beginner · Course · 1-4 Weeks

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      무료

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      University of Cape Town

      Doing Clinical Research: Biostatistics with the Wolfram Language

      획득할 기술: Data Analysis, Probability & Statistics, Operations Research, Strategy and Operations

      4.7

      (47개의 검토)

      Beginner · Course · 1-4 Weeks

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      Johns Hopkins University

      Summary Statistics in Public Health

      획득할 기술: Biostatistics, General Statistics, Probability & Statistics, Statistical Analysis, Basic Descriptive Statistics, Business Analysis, Data Analysis, Data Visualization, Exploratory Data Analysis, Feature Engineering, Machine Learning, Mobile Development, Plot (Graphics), Probability Distribution, Statistical Visualization, iOS Development

      4.8

      (1.7k개의 검토)

      Beginner · Course · 1-3 Months

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      Imperial College London

      Epidemiology for Public Health

      획득할 기술: Epidemiology, Probability & Statistics, General Statistics, Experiment, Research and Design, Econometrics, Business Analysis, Data Analysis, Graph Theory, Mathematics, Statistical Analysis, Bayesian Statistics, Biostatistics, Statistical Tests

      4.8

      (1k개의 검토)

      Beginner · Specialization · 1-3 Months

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      무료

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      Utrecht University

      Clinical Epidemiology

      획득할 기술: Epidemiology, Probability & Statistics, Research and Design, Data Management, Accounting, Algebra, Biostatistics, Business Development, Calculus, Clinical Data Management, Communication, Computer Programming, Data Analysis, Data Structures, Employee Relations, Human Resources, Mathematics, Sales, Theoretical Computer Science

      4.7

      (312개의 검토)

      Intermediate · Course · 1-3 Months

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      무료

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      American Museum of Natural History

      Genetics and Society: A Course for Educators

      획득할 기술: Probability & Statistics, Bioinformatics, Biostatistics, Epidemiology

      4.6

      (136개의 검토)

      Mixed · Course · 1-4 Weeks

    biostatistics과(와) 관련된 검색

    biostatistics in public health
    mathematical biostatistics boot camp 1
    mathematical biostatistics boot camp 2
    doing clinical research: biostatistics with the wolfram language
    12345

    요약하자면, 여기에 가장 인기 있는 biostatistics 강좌 10개가 있습니다.

    • Biostatistics in Public Health: Johns Hopkins University
    • Understanding Clinical Research: Behind the Statistics: University of Cape Town
    • Statistical Analysis with R for Public Health: Imperial College London
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Genomic Data Science: Johns Hopkins University
    • Design and Interpretation of Clinical Trials: Johns Hopkins University
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • Doing Clinical Research: Biostatistics with the Wolfram Language: University of Cape Town
    • Summary Statistics in Public Health: Johns Hopkins University
    • Epidemiology for Public Health: Imperial College London

    Probability And Statistics에서 학습할 수 있는 스킬

    R 프로그래밍 (19)
    추정 (16)
    선형 회귀 (12)
    통계 분석 (12)
    통계적 추론 (11)
    회귀 분석 (10)
    베이지안 (7)
    로지스틱 회귀 (7)
    확률 분포 (7)
    베이지안 통계 (6)
    의료 통계학 (6)

    생물 통계학에 대한 자주 묻는 질문

    • Biostatistics is the application of statistical methods to biological data. Used for clinical, medical, or other types of scientific purposes, they enable learners to properly understand research and interpret common statistical concepts. This research is also conducted in order to be published in scientific literature. In data science software, like R, Biostatistics are formulated in research that involves the creation of data sets and visualizations.

      We recommend Biostatistics to learners who want to be able to read, and respond to, scientific literature in fields related to public health, medicine, and biological science. Learners want to understand Biostatistics in order to stay up-to-date with developments in these fields. Successful learners are also prepared to participate as part of research teams by being able to collect, analyze, and make decisions based on the biostatistics they formulate.‎

    • The Bureau of Labor Statistics has predicted that 10,100 statistical positions are expected nationwide in the U.S. through 2024. Some careers for Biostatistics learners include Biostatician, Principal Investigator, Research Scientist, Data Analyst, Quantitative Scientist, Machine Learning Scientist, Public Health and Healthcare Professional, Social Worker, and other roles needed in research.‎

    • Learners can take courses from major institutions that cover critical parts of formulating statistics for biological research. Instruction will show how to calculate summary statistics from public health and biomedical data; interpret written and visual presentations of statistical data; and choose the most appropriate statistical method to answer your research question. Learners can see lectures on probability, expectations, distributions, bootstrapping, and other key parts of Mathematical Biostatistics. Data science courses are also offered to show learners how they can clean, analyze, and visualize data while exploring ways to ask the right kinds of questions.‎

    • Before learning biostatistics, it's helpful to have a background in math and science. This could include jobs, internships, volunteer work, or even high school or college-level classes that involve topics like biology, health, genetics, statistics, algebra, calculus, epidemiology, ecology, chemistry, microbiology, anthropology, or environmental science. Experience or previous classes in technical writing can be helpful too. Experience or skills involving programming are always beneficial because the field relies on the use of computers, technology, software, applications, and data.‎

    • In addition to an interest in math, science, and health, those who seek roles in biostatistics should have analytical minds with a keen eye for detail. Because you'll spend so much time going over data, objectivity, critical thinking, and problem-solving abilities are also important. You must also be a good communicator in both written and verbal skills. On a daily basis, you may interact with biologists, researchers, physicians, scientists, policymakers, and your colleagues, so interpersonal skills are a must. You may also find yourself making presentations or speaking at meetings and conferences, so you can't be afraid of public speaking. You'll also need to be a good manager. That means remaining organized and practicing time management skills as you work to complete each of your projects.‎

    • A love for math and science can lead you to learning biostatistics since the field combines both of these subject matters. Learning biostatistics can help you land a job with a competitive salary at a university, government agency, or large company in the private sector. If you've ever dreamed of working in the health care field, but you don't necessarily want to work directly with patients as a physician or nurse, biostatistics may be the right path for your future. In addition to public health, you could end up working in fields like agriculture, veterinary science, or environmental health, so learning biostatistics can open up many doors for a potential career.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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