Coursera
オンライン学位キャリアを探す企業用大学
  • 閲覧
  • 一番人気のコース
  • ログイン
  • 参加は無料
    Coursera
    • 閲覧
    • Biostatistics

    フィルター

    「biostatistics」の52件の結果

    • Johns Hopkins University

      Johns Hopkins University

      Multiple Regression Analysis in Public Health

      習得できるスキル: Econometrics, Mathematics, Biostatistics, Probability, General Statistics, Regression, Analysis, Supply Chain and Logistics, Experiment, Probability & Statistics, Algebra

      4.7

      (250件のレビュー)

      Beginner · Course

    • Icahn School of Medicine at Mount Sinai

      Icahn School of Medicine at Mount Sinai

      Systems Biology and Biotechnology

      習得できるスキル: Algorithms, Analysis, Big Data, Bioinformatics, Biology, Biostatistics, Business Analysis, Communication, Computational Logic, Critical Thinking, Data Analysis, Data Management, Dimensionality Reduction, Epidemiology, Experiment, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Marketing, Mathematics, Network Analysis, Operations Research, Probability & Statistics, Process Analysis, Research and Design, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.4

      (869件のレビュー)

      Intermediate · Specialization

    • 無料

      University of Geneva

      University of Geneva

      Supervision du raisonnement clinique

      習得できるスキル: Listening, General Statistics, Reinforcement Learning, Biostatistics, Feature Engineering, Business Psychology, Probability & Statistics, Theoretical Computer Science, Entrepreneurship, Algorithms, Machine Learning

      4.8

      (50件のレビュー)

      Beginner · Course

    • 無料

      Peking University

      Peking University

      Advanced Neurobiology I

      習得できるスキル: Databases, Data Visualization, User Experience, Clinical Data Management, Human Learning, Writing, Training, Mathematics, Bioinformatics, Business Research, People Management, Behavioral Economics, Neuroscience, Statistical Programming, Application Development, Benefits, Marketing Management, Biostatistics, Human Resources, Accounting, Account Management, Business Communication, Hardware Design, Computer Architecture, Accounting Software, B2B Sales, Calculus, Experiment, Business Psychology, Cost Accounting, Human Computer Interaction, Research and Design, Probability & Statistics, Scientific Visualization, Entrepreneurship, Strategy and Operations, Data Analysis, Big Data, Corporate Accouting, Financial Analysis, Software Engineering, General Accounting, Business Development, Algebra, Statistical Analysis, Marketing, Communication, Market Analysis, Business Process Management, Business Analysis, Computer Programming, Data Management, Sales, Market Research, Database Administration, Applied Mathematics, Basic Descriptive Statistics, Data Analysis Software, Spreadsheet Software

      4.0

      (500件のレビュー)

      Intermediate · Course

    • EIT Digital

      EIT Digital

      Value Creation Through Innovation

      習得できるスキル: Advertising, Behavioral Economics, Biostatistics, Business Psychology, Communication, Entrepreneurship, Finance, Innovation, Leadership and Management, Market Analysis, Marketing, Probability & Statistics, Problem Solving, Research and Design, Sales, Social Media, Strategy and Operations

      4.5

      (613件のレビュー)

      Intermediate · Specialization

    • Tecnológico de Monterrey

      Tecnológico de Monterrey

      Innovación y emprendimiento

      習得できるスキル: Advertising, Algorithms, Bioinformatics, Biostatistics, Brand Management, Business Analysis, Business Communication, Business Design, Business Psychology, Business Research, Cloud Clients, Cloud Computing, Communication, Computational Logic, Computer Graphic Techniques, Computer Graphics, Entrepreneurship, FinTech, Finance, General Statistics, Human Computer Interaction, Innovation, Interactive Design, Leadership and Management, Marketing, Mathematical Theory & Analysis, Mathematics, Merchandising, Modeling, Operations Research, Organizational Development, Probability & Statistics, Project Management, Research and Design, Sales, Social Media, Software Engineering, Software Testing, Strategy, Strategy and Operations, Theoretical Computer Science

      4.8

      (150件のレビュー)

      Advanced · Specialization

    • Placeholder

      無料

      The University of Edinburgh

      The University of Edinburgh

      Philosophy, Science and Religion: Religion and Science

      習得できるスキル: Critical Thinking, Biostatistics, Research and Design, Strategy and Operations, Probability & Statistics, Entrepreneurship, Business Analysis, Computer Graphic Techniques, Computer Graphics

      4.6

      (159件のレビュー)

      Beginner · Course

    • Placeholder
      Icahn School of Medicine at Mount Sinai

      Icahn School of Medicine at Mount Sinai

      Acute and Chronic Rhinosinusitis: A Comprehensive Review

      習得できるスキル: Business Communication, Application Development, Biostatistics, Mathematics, Benefits, Accounting, Communication, Probability & Statistics, Human Resources, Software Engineering, Applied Mathematics

      4.8

      (633件のレビュー)

      Mixed · Course

    • Placeholder

      無料

      Technical University of Denmark (DTU)

      Technical University of Denmark (DTU)

      Metagenomics applied to surveillance of pathogens and antimicrobial resistance

      習得できるスキル: General Statistics, Biostatistics, Statistical Programming, Probability & Statistics, Bioinformatics, R Programming, Epidemiology, Analysis

      4.7

      (241件のレビュー)

      Mixed · Course

    • Placeholder

      無料

      University of Geneva

      University of Geneva

      Climate Change and Water in Mountains: A Global Concern

      習得できるスキル: Finance, Statistical Tests, Critical Thinking, Marketing, Social Media, Adaptability, Biostatistics, Security Engineering, Strategy and Operations, Entrepreneurship, Business Psychology, Probability & Statistics, Leadership and Management, Research and Design, Communication, Business Analysis, Market Research, Security Strategy

      4.7

      (246件のレビュー)

      Intermediate · Course

    • Placeholder
      Icahn School of Medicine at Mount Sinai

      Icahn School of Medicine at Mount Sinai

      Introduction to Systems Biology

      習得できるスキル: Critical Thinking, Mathematics, Biostatistics, Bioinformatics, Probability & Statistics, Strategy and Operations, Epidemiology, Theoretical Computer Science, Research and Design, Biology, Computational Logic, Business Analysis, Graph Theory

      4.3

      (520件のレビュー)

      Mixed · Course

    • Placeholder

      無料

      Tecnológico de Monterrey

      Tecnológico de Monterrey

      Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo

      習得できるスキル: Mathematics, Biostatistics, Accounting Software, Accounting, Algebra, Calculus, Mathematical Theory & Analysis, Probability & Statistics, Data Analysis, Basic Descriptive Statistics, Applied Mathematics, Data Analysis Software

      4.6

      (648件のレビュー)

      Mixed · Course

    biostatisticsに関連する検索

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

    要約して、biostatistics の人気コース10選をご紹介します。

    • Multiple Regression Analysis in Public Health: Johns Hopkins University
    • Systems Biology and Biotechnology: Icahn School of Medicine at Mount Sinai
    • Supervision du raisonnement clinique: University of Geneva
    • Advanced Neurobiology I: Peking University
    • Value Creation Through Innovation: EIT Digital
    • Innovación y emprendimiento: Tecnológico de Monterrey
    • Philosophy, Science and Religion: Religion and Science: The University of Edinburgh
    • Acute and Chronic Rhinosinusitis: A Comprehensive Review: Icahn School of Medicine at Mount Sinai
    • Metagenomics applied to surveillance of pathogens and antimicrobial resistance: Technical University of Denmark (DTU)
    • Climate Change and Water in Mountains: A Global Concern: University of Geneva

    Probability And Statisticsで学べるスキル

    Rプログラミング (19)
    推論 (16)
    線形回帰 (12)
    統計解析 (12)
    統計的推論 (11)
    回帰分析 (10)
    生物統計学 (9)
    ベイズ (7)
    ロジスティック回帰 (7)
    確率分布 (7)
    ベイズ統計 (6)
    医療統計 (6)

    生物統計学に関するよくある質問

    • 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.‎

    このFAQの内容は、情報提供のみを目的としています。受講生は、自分の個人的、職業的、経済的な目標に合ったコースやその他の資格を取得するために、さらに調べることをお勧めします。
    探索する他のトピック
    Placeholder
    芸術と人文
    338コース
    Placeholder
    ビジネス
    1095コース
    Placeholder
    コンピューターサイエンス
    668コース
    Placeholder
    データサイエンス
    425コース
    Placeholder
    情報技術
    145コース
    Placeholder
    健康
    471コース
    Placeholder
    数学と論理
    70コース
    Placeholder
    自己啓発
    137コース
    Placeholder
    物理科学とエンジニアリング
    413コース
    Placeholder
    社会科学
    401コース
    Placeholder
    言語学習
    150コース

    Coursera Footer

    キャリアをスタート、またはキャリアアップする

    • Google データアナリスト
    • Googleプロジェクトマネジメント
    • グーグルUXデザイン
    • Google ITサポート
    • IBMデータサイエンス
    • IBMデータアナリスト
    • ExcelとRを使用したIBMデータ分析
    • IBMサイバーセキュリティ・アナリスト
    • IBMデータエンジニアリング
    • IBMフルスタック・クラウドデベロッパー
    • Facebookソーシャルメディアマーケティング
    • Facebookマーケティング分析
    • Salesforce営業開発担当者
    • Salesforce Sales Operations
    • インテュイット簿記
    • Google Cloud 認定資格の取得準備:クラウドアーキテクト
    • Google Cloud 認定資格の取得準備:クラウドデータエンジニア
    • キャリアをスタートさせましょう
    • 証明書の取得準備
    • キャリアアップ

    人気のあるトピックを閲覧

    • 無料コース
    • 言語を学ぶ
    • Python
    • Java
    • Webデザイン
    • SQL
    • Cursos Gratis
    • Microsoft Excel
    • プロジェクトマネジメント
    • サイバーセキュリティ
    • 人事
    • データサイエンスの無料コース
    • 英語のスピーキング
    • コンテンツのライティング
    • フルスタックWeb開発
    • 人工知能
    • Cプログラミング
    • コミュニケーションスキル
    • ブロックチェーン
    • すべてのコースを見る

    人気のコースと記事

    • データサイエンスチームのためのスキル
    • データ駆動型意思決定
    • ソフトウェアエンジニアリングのスキル
    • エンジニアリングチームのためのソフトスキル
    • マネジメントスキル
    • マーケティングのスキル
    • セールスチームのためのスキル
    • プロダクトマネージャのスキル
    • ファイナンススキル
    • イギリスで人気のデータサイエンスコース
    • Beliebte Technologiekurse in Deutschland
    • 人気のサイバーセキュリティ証明書
    • 人気の IT 証明書
    • 人気の QL 証明書
    • マーケティングマネージャーキャリアガイド
    • プロジェクトマネージャーキャリアガイド
    • Pythonプログラミングスキル
    • Web開発者キャリアガイド
    • データアナリストのスキル
    • UXデザイナーのためのスキル

    オンラインで学位または証明書を取得する

    • MasterTrack®認定
    • プロフェッショナル認定
    • 大学証明書
    • MBAとビジネス学位
    • データサイエンスの学位
    • コンピュータサイエンスの学位
    • データ分析の学位
    • 公衆衛生学位
    • 社会科学の学位
    • 経営学の学位
    • ヨーロッパのトップレベルの大学の学位
    • 修士号
    • 学士号
    • パフォーマンスパスウェイの学位
    • BSc コース
    • 学士号とは何ですか?
    • 修士号の取得にはどれくらい時間がかかりますか?
    • オンラインMBAに価値がありますか?
    • 大学院で学ぶための7つの方法
    • すべての証明書を表示する

    Coursera

    • 概要
    • Courseraのサービス
    • リーダーシップ
    • キャリア
    • カタログ
    • Coursera Plus
    • プロフェッショナル認定
    • MasterTrack®認定
    • 学位
    • 企業用
    • 政府向け
    • キャンパス向け
    • パートナーになる
    • 新型コロナウイルス対策

    コミュニティ

    • 受講生
    • パートナー
    • 開発者
    • ベータテスター
    • 翻訳者
    • ブログ
    • 技術ブログ
    • 教育センター

    さらに表示

    • 報道関係者
    • 投資家
    • 規約
    • プライバシー
    • ヘルプ
    • アクセシビリティ
    • お問い合わせ
    • 記事
    • ディレクトリ
    • アフィリエイト
    • Modern Slavery Statement(現代奴隷法に関する表明)
    場所を選ばす学習する
    App StoreからダウンロードGoogle Playで取得
    Placeholder
    ©2022 Coursera Inc.All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder