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    • Statistical Analysis

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    1952 results for "statistical analysis"

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      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Skills you'll gain: Business Analysis, Data Analysis, General Statistics, Probability & Statistics, SAS (Software), Statistical Analysis, Statistical Programming, Statistical Tests, Regression, Correlation And Dependence, Advertising, Algebra, Communication, Journalism, Marketing

      4.6

      (82 reviews)

      Intermediate · Course · 1-4 Weeks

    • Free

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      Stanford University

      Introduction to Statistics

      Skills you'll gain: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization

      4.6

      (2.1k reviews)

      Beginner · Course · 1-3 Months

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      University of Amsterdam

      Methods and Statistics in Social Sciences

      Skills you'll gain: General Statistics, Probability & Statistics, Statistical Tests, R Programming, Statistical Programming, Correlation And Dependence, Probability Distribution, Regression, Basic Descriptive Statistics, Experiment, Algebra, Exploratory Data Analysis, Machine Learning, Scientific Visualization, Research and Design, Data Analysis, Statistical Visualization, Linear Algebra, Plot (Graphics), Statistical Analysis, Business Analysis, Estimation

      4.6

      (7.1k reviews)

      Beginner · Specialization · 3-6 Months

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      Imperial College London

      Statistical Analysis with R for Public Health

      Skills you'll gain: Probability & Statistics, General Statistics, Regression, Business Analysis, Statistical Analysis, Machine Learning, Machine Learning Algorithms, Data Analysis, 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

      (1.7k reviews)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Visualization for Statistical Analysis

      Skills you'll gain: Exploratory Data Analysis, R Programming

      Beginner · Guided Project · Less Than 2 Hours

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      University of Michigan

      Inferential Statistical Analysis with Python

      Skills you'll gain: Probability & Statistics, Business Analysis, Computer Programming, General Statistics, Statistical Programming, Python Programming, Data Analysis, Statistical Analysis, Statistical Tests, Experiment, Basic Descriptive Statistics, Data Analysis Software, Mathematics

      4.6

      (843 reviews)

      Intermediate · Course · 1-4 Weeks

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      IBM Skills Network

      Data Analysis with Python

      Skills you'll gain: Basic Descriptive Statistics, Data Analysis, Data Science, Python Programming, Applied Machine Learning, Data Mining, Data Structures, General Statistics, Machine Learning, Regression, Statistical Analysis, Statistical Tests, Exploratory Data Analysis, Algebra, Business Analysis, Computer Programming, Computer Programming Tools, Correlation And Dependence, Econometrics, Mathematical Theory & Analysis, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Statistical Programming

      4.7

      (16.4k reviews)

      Beginner · Course · 1-3 Months

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      University of California San Diego

      Big Data

      Skills you'll gain: Data Management, Big Data, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Distributed Computing Architecture, Machine Learning, Business Analysis, Statistical Programming, Data Science, Graph Theory, Mathematics, Apache, Computer Architecture, Databases, Data Analysis Software, NoSQL, Data Architecture, Machine Learning Algorithms, Business, Data Model, Data Structures, Spreadsheet Software, Data Mining, Python Programming, Data Visualization, SQL, Statistical Machine Learning, Statistical Visualization, Database Application, Information Technology, Cloud Computing, Software As A Service, Applied Machine Learning, Basic Descriptive Statistics, Computer Programming, Correlation And Dependence, Database Administration, Dimensionality Reduction, Feature Engineering, General Statistics, PostgreSQL, Regression, Statistical Analysis, Algorithms, Data Warehousing, Theoretical Computer Science

      4.5

      (13.5k reviews)

      Beginner · Specialization · 3-6 Months

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      Free

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      Eindhoven University of Technology

      Improving your statistical inferences

      Skills you'll gain: Probability & Statistics, Statistical Tests, General Statistics, R Programming, Statistical Programming, Bayesian Statistics, Data Analysis, Probability Distribution, Statistical Analysis, Bayesian Network, Business Analysis, Experiment, Machine Learning

      4.9

      (751 reviews)

      Intermediate · Course · 1-3 Months

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      Rice University

      Business Statistics and Analysis

      Skills you'll gain: Business Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Spreadsheet Software, Microsoft Excel, Statistical Tests, Basic Descriptive Statistics, Regression, Business Intelligence, Data Visualization, Probability Distribution, Statistical Visualization, Experiment, Plot (Graphics), Data Mining, Exploratory Data Analysis, Computer Programming, Correlation And Dependence, Data Analysis Software, Econometrics, Mathematics

      4.7

      (11.7k reviews)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: 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

      (696 reviews)

      Advanced · Specialization · 3-6 Months

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      Duke University

      Data Analysis with R

      Skills you'll gain: Probability & Statistics, General Statistics, Data Analysis, Statistical Analysis, Regression, R Programming, Statistical Programming, Statistical Tests, Bayesian Statistics, Econometrics, Business Analysis, Probability Distribution, Data Science, Mathematics, Correlation And Dependence, Experiment, Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Basic Descriptive Statistics, Data Mining, Plot (Graphics), Statistical Visualization, Data Analysis Software, Data Visualization

      4.7

      (6.9k reviews)

      Beginner · Specialization · 3-6 Months

    Searches related to statistical analysis

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    In summary, here are 10 of our most popular statistical analysis courses

      Skills you can learn in Business Essentials

      Analytics (37)
      Presentation (33)
      Modeling (29)
      Business Analytics (27)
      Language (26)
      Microsoft Excel (26)
      Writing (26)
      Speech (18)
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      Frequently Asked Questions about Statistical Analysis

      • Statistical analysis is the process of collecting and organizing data in order to observe patterns in that data. This discipline examines numerical data for trends, and it has practical applications across multiple industries and business sectors. Statistical analysts can examine large or small amounts of data to determine what the data shows—and what should be done with that information. The business world has relied on statistical analysis for years, but the advent of computer technology has made analyzing large amounts of data increasingly easy. Computers allow statisticians to analyze copious amounts of data and look for more specific patterns and trends than ever before.‎

      • Statistical analysis is important because it helps you make sense—and make use—of data. No matter what industry you work in, you see data every day. You may not know how to interpret the data, or there may just be too much data to understand on its own merits. Using statistical analysis can help you interpret key patterns in your data and sort out extraneous information to understand what the data means and what you should do about it. If you have a background in statistical analysis, you can also test or disprove any analysis that you receive from someone else as well.‎

      • A thorough knowledge of statistical analysis can help you find a career in the financial sector, information technology, or other areas of the business world. You can find jobs giving businesses advice on how to invest or how to manage their money more efficiently, or you can consult with companies on how to budget for large projects. Market research jobs rely on statistical analysis skills, while software engineers analyze data to develop and test new and updated applications. Data scientists work with various organizations to help them identify patterns and trends in their field of business.‎

      • From courses that introduce you to the basics of statistical analysis to more specific topics like hypothesis testing, data analysis in the health care industry, or risk management, you can gain a confident base of knowledge from online courses on Coursera. Specific topics you can discover include using logistic regression in R, survival analysis in R, bias and validity in epidemiology, statistics with Python, and data analytics.‎

      This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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