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    • Statistics For Data Science

    筛选依据

    ''statistics for data science'的 1072 个结果

    • 免费

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      Stanford University

      Introduction to Statistics

      您将获得的技能: Data Analysis, Econometrics, Correlation And Dependence, Bayesian Statistics, Probability & Statistics, Plot (Graphics), Data Visualization, Probability, Statistical Inference, General Statistics, Statistical Tests, Probability Distribution, Basic Descriptive Statistics, Statistical Hypothesis Testing, Markov Model, Machine Learning, Experiment, Statistical Analysis, Regression, Hypothesis Testing

      4.5

      (1.3k 条评论)

      Beginner · Course · 1-3 Months

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      University of Michigan

      Statistics with Python

      您将获得的技能: Basic Descriptive Statistics, Bayesian Statistics, Business Analysis, Computer Programming, Correlation And Dependence, Data Analysis, Data Visualization, Econometrics, Experiment, General Statistics, Logistic Regression, Machine Learning, Machine Learning Algorithms, Modeling, Plot (Graphics), Probability & Statistics, Programming Principles, Python Programming, Regression, Statistical Analysis, Statistical Programming, Statistical Tests, Statistical Visualization

      4.6

      (2.8k 条评论)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      Statistics for Data Science with Python

      您将获得的技能: Correlation And Dependence, Data Analysis, Probability & Statistics, Basic Descriptive Statistics, Business Analysis, Plot (Graphics), Statistical Visualization, Statistical Tests, Probability Distribution, Data Visualization, General Statistics, Statistical Analysis, Regression

      4.6

      (218 条评论)

      Mixed · Course · 1-3 Months

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      Johns Hopkins University

      Advanced Statistics for Data Science

      您将获得的技能: Algebra, Artificial Neural Networks, Bayesian Statistics, Biostatistics, Calculus, Communication, Dimensionality Reduction, Econometrics, Experiment, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Probability Distribution, Regression, Statistical Machine Learning, Statistical Tests

      4.4

      (660 条评论)

      Advanced · Specialization · 3-6 Months

    • 免费

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      Duke University

      Data Science Math Skills

      您将获得的技能: Plot (Graphics), Data Visualization, Probability & Statistics, Bayesian Statistics, General Statistics, Graph Theory, Computational Logic, Mathematics, Algebra, Theoretical Computer Science, Probability Distribution, Mathematical Theory & Analysis, Probability, Bayesian

      4.5

      (10.5k 条评论)

      Beginner · Course · 1-3 Months

    • 免费

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      Eindhoven University of Technology

      Improving your statistical inferences

      您将获得的技能: Bayesian Statistics, Data Analysis, General Statistics, Analysis, Inference, Probability & Statistics, Statistical Tests, Euler'S Totient Function, Statistical Inference, Bayesian, Bayesian Network, Experiment, Hypothesis, Statistical Hypothesis Testing, Hypothesis Testing, Machine Learning, Statistical Analysis, Business Analysis

      4.9

      (726 条评论)

      Intermediate · Course · 1-3 Months

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      Imperial College London

      Mathematics for Machine Learning

      您将获得的技能: Algebra, Algorithms, Artificial Neural Networks, Basic Descriptive Statistics, Calculus, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Deep Learning, Differential Equations, General Statistics, Lambda Calculus, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematical Optimization, Mathematical Theory & Analysis, Mathematics, Matrices, Probability & Statistics, Probability Distribution, Python Programming, Regression, Statistical Programming, Theoretical Computer Science

      4.6

      (12.9k 条评论)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      您将获得的技能: Algorithms, Analysis, Applied Machine Learning, Business Analysis, Data Analysis, Data Visualization, Econometrics, General Statistics, Interactive Data Visualization, Interactivity, Machine Learning, Machine Learning Algorithms, Natural Language Processing, Plot (Graphics), Probability, Probability & Statistics, Probability Distribution, R Programming, Regression, Regression Analysis, Statistical Analysis, Statistical Inference, Statistical Programming, Statistical Tests, Theoretical Computer Science, Web Application

      4.4

      (7k 条评论)

      Intermediate · Specialization · 3-6 Months

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      Duke University

      Data Analysis with R

      您将获得的技能: Bayesian Statistics, Business Analysis, Data Analysis, Data Mining, Data Visualization, Econometrics, Experiment, Exploratory Data Analysis, General Statistics, Inference, Machine Learning, Machine Learning Algorithms, Mathematics, Modeling, Plot (Graphics), Probability & Statistics, Probability Distribution, R Programming, Regression, Statistical Analysis, Statistical Programming, Statistical Tests

      4.7

      (6.6k 条评论)

      Beginner · Specialization · 3-6 Months

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      Google

      Google Data Analytics

      您将获得的技能: Algorithms, Application Development, Bias, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Security, Data Structures, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, General Statistics, Ggplot2, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Plot (Graphics), Privacy, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security, Security Engineering, Security Strategy, Small Data, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Tableau Software, Theoretical Computer Science, Visual Design, Web Development

      4.8

      (71.3k 条评论)

      Beginner · Professional Certificate · 3-6 Months

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      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      您将获得的技能: Analysis, Business Analysis, Communication, Data Analysis, Econometrics, Experiment, General Statistics, Machine Learning, Machine Learning Algorithms, Marketing, Modeling, Probability & Statistics, Regression, Statistical Analysis

      4.0

      (20 条评论)

      Intermediate · Specialization · 3-6 Months

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      University of California, Davis

      Learn SQL Basics for Data Science

      您将获得的技能: Analysis, Apache, Apache Spark, Basic Descriptive Statistics, Big Data, Computer Programming, Data Management, Databases, General Statistics, Leadership and Management, Machine Learning, Probability & Statistics, Python Programming, SQL, Statistical Programming

      4.6

      (13.8k 条评论)

      Beginner · Specialization · 3-6 Months

    与 statistics for data science 相关的搜索

    statistics for data science with python
    advanced statistics for data science
    statistics for genomic data science
    statistical modeling for data science applications
    statistical inference for estimation in data science
    advanced linear models for data science 2: statistical linear models
    1234…84

    总之,这是我们最受欢迎的 statistics for data science 门课程中的 10 门

    • Introduction to Statistics: Stanford University
    • Statistics with Python: University of Michigan
    • Statistics for Data Science with Python: IBM Skills Network
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Data Science Math Skills: Duke University
    • Improving your statistical inferences: Eindhoven University of Technology
    • Mathematics for Machine Learning: Imperial College London
    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Data Analysis with R: Duke University
    • Google Data Analytics: Google

    关于 数据科学所需的统计学 的常见问题

    • Statistics for data science refers to the mathematical analysis used to sort, analyze, interpret, and present data. It includes concepts like probability distribution, regression, and over or under-sampling. Descriptive statistics organizes data based on characteristics of the data set, such as normal distribution, central tendency, variability, and standard deviation. Inferential statistics incorporates the use of probability theory to infer characteristics of the data set.‎

    • Learning statistics for data science can lead to career opportunities in data science and related fields. As organizations increasingly rely on data to make decisions, they tend to seek out analysts who understand how to work with data and present it to stakeholders. Learning statistics for data science can also provide a good salary. As of 2020, the median pay for computer and information research scientists in the US is $122,840 and the job market remains positive, according to the Bureau of Labor Statistics. Mathematicians and statisticians have a similar job outlook and a median salary of $92,030 per year.‎

    • Data analysis, data architects, data scientists, and information officers typically use statistics for data science in their regular work. Data science is a broad field, and statistics can be useful in other roles that require analyzing and presenting data. This includes data warehouse analysts, data visualization developers, database managers, and machine learning engineers. Additional related fields include financial analysts, teachers, and researchers working for universities and corporate settings.‎

    • Through online courses, you can learn the fundamentals of statistics for data science, including the theories and techniques statisticians use in their work. Some courses explore fundamental concepts like Bayes’ Theorem and probability theory. Others present methods for calculating and evaluating data sets. You can brush up on your knowledge of programs statisticians use, like Excel and Python, or examine the application of statistics specific fields.‎

    此常见问题解答内容仅供参考。建议学生多做研究,确保所追求的课程和其他证书符合他们的个人、专业和财务目标。
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