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    • Statistical Analysis

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    1953 results for "statistical analysis"

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      PwC

      Data Analysis and Presentation Skills: the PwC Approach

      Skills you'll gain: Business Analysis, Spreadsheet Software, Microsoft Excel, Data Analysis, Business, Data Visualization, Basic Descriptive Statistics, Business Communication, Business Psychology, Communication, Culture, Entrepreneurship, Human Learning, Human Resources, Leadership and Management, People Development, Training, Data Visualization Software, Storytelling, Data Analysis Software, Regression, Databases, Data Science, General Statistics, Probability & Statistics, Big Data, Computer Programming, Data Management, Data Mining, Decision Making, Statistical Analysis

      4.6

      (10.3k reviews)

      Beginner · Specialization · 3-6 Months

    • 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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      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Skills you'll gain: Machine Learning, Cloud Computing, Google Cloud Platform, Computer Programming, Cloud Platforms, Statistical Programming, Python Programming, Data Management, Applied Machine Learning, Feature Engineering, Tensorflow, Deep Learning, DevOps, Entrepreneurship, Probability & Statistics, Data Analysis, Big Data, Artificial Neural Networks, Business Psychology, Data Visualization, Exploratory Data Analysis, Regression, SQL, Statistical Visualization, Theoretical Computer Science, Data Science, Kubernetes, Apache, Basic Descriptive Statistics, Bayesian Statistics, Computational Thinking, Computer Architecture, Computer Networking, Data Model, Data Structures, Extract, Transform, Load, General Statistics, Hardware Design, Machine Learning Algorithms, Machine Learning Software, Network Security, Performance Management, Security Engineering, Security Strategy, Statistical Machine Learning, Strategy and Operations, Algorithms, Business Analysis, Cloud Applications, Cloud Infrastructure, Cloud Storage, Data Analysis Software, Data Architecture, Data Warehousing, Database Application, Databases, Dimensionality Reduction, Distributed Computing Architecture, Full-Stack Web Development, Information Technology, Natural Language Processing, Statistical Analysis, Web Development

      4.6

      (25.1k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Machine Learning

      Skills you'll gain: Machine Learning, Probability & Statistics, General Statistics, Forecasting, Machine Learning Algorithms, Regression, Deep Learning, Data Analysis, Theoretical Computer Science, Artificial Neural Networks, Statistical Machine Learning, Algorithms, Business Analysis, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Computer Vision, Applied Machine Learning, Bayesian Statistics, NoSQL, Probability Distribution, Human Resources, Leadership Development, Leadership and Management, Data Management, Data Structures, Experiment, Linear Algebra, Mathematics, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Visualization, Natural Language Processing, Python Programming, Reinforcement Learning, Statistical Programming, Statistical Visualization, Algebra, Application Development, Basic Descriptive Statistics, Correlation And Dependence, Data Analysis Software, Estimation, SQL, Software Engineering, Statistical Analysis, Statistical Tests

      4.6

      (1.5k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: 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, Human Computer Interaction, Software Architecture, User Experience, Accounting, Advertising, Communication, Computer Graphics, Financial Analysis, Graphics Software, Marketing

      4.5

      (5.9k reviews)

      Intermediate · Specialization · 3-6 Months

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      Rutgers the State University of New Jersey

      Supply Chain Management

      Skills you'll gain: Supply Chain and Logistics, Business Analysis, Spreadsheet Software, Basic Descriptive Statistics, Data Analysis, Forecasting, General Statistics, Operations Management, Probability & Statistics, Statistical Analysis, Inventory Management, Operational Analysis, Strategy and Operations, Procurement, Supplier Relationship Management, Operations Research, Supply Chain Systems, Entrepreneurship, Leadership and Management, Planning, Problem Solving, Transportation Operations Management, Data Visualization, Decision Making, Marketing, Sales, Statistical Visualization

      4.7

      (13k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Introduction to Machine Learning

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Regression, Data Analysis, General Statistics, Probability & Statistics, Theoretical Computer Science, Statistical Machine Learning, Algorithms, Dimensionality Reduction, Business Analysis, Exploratory Data Analysis, Feature Engineering, Bayesian Statistics, NoSQL, Probability Distribution, Human Resources, Leadership Development, Leadership and Management, Applied Machine Learning, Computer Vision, Data Management, Data Structures, Experiment, Linear Algebra, Mathematics, Algebra, Basic Descriptive Statistics, Computer Programming, Correlation And Dependence, Data Analysis Software, Data Visualization, Deep Learning, Estimation, Python Programming, SQL, Statistical Analysis, Statistical Programming, Statistical Tests

      4.6

      (1.4k reviews)

      Intermediate · Specialization · 3-6 Months

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      University of California, Davis

      Data Visualization with Tableau

      Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Data Analysis, Business Analysis, Business Intelligence, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Software Visualization, Plot (Graphics), Storytelling, Communication, Exploratory Data Analysis, Geovisualization, Persona Research, Research and Design, Statistical Analysis, Visual Design, Probability & Statistics

      4.5

      (7.3k reviews)

      Beginner · Specialization · 3-6 Months

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      University of Illinois at Urbana-Champaign

      Digital Marketing

      Skills you'll gain: Marketing, Digital Marketing, Research and Design, Communication, Entrepreneurship, Sales, Leadership and Management, Business, Marketing Management, Market Research, Marketing Design, Strategy and Operations, Media Strategy & Planning, Media Production, Design and Product, Strategy, Business Analysis, Market Analysis, Product Marketing, Customer Analysis, Advertising Sales, Business Development, Product Management, Advertising, Brand Management, MarTech, Influencing, Social Media, Business Design, Collaboration, Data Analysis, Finance, Public Relations, Search Engine Optimization, Web Design, Web Development, Business Psychology, Change Management, Customer Support, Human Learning, Journalism, Marketing Psychology, Packaging and Labeling, Product Design, Survey Creation, Visual Design, Accounting, Back-End Web Development, Big Data, Computer Graphics, Data Analysis Software, Data Management, Data Visualization, Exploratory Data Analysis, Human Computer Interaction, Product Development, Statistical Analysis, Supply Chain and Logistics, Virtual Reality

      4.7

      (22k reviews)

      Beginner · Specialization · 3-6 Months

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      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Python Programming, Machine Learning, Data Analysis, Data Mining, Data Science, Machine Learning Algorithms, Computer Science, Statistical Programming, Applied Machine Learning, Graph Theory, Mathematics, General Statistics, Basic Descriptive Statistics, Statistical Machine Learning, Data Structures, Natural Language Processing, Regression, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Statistical Tests, Correlation And Dependence, Estimation, Linear Algebra, Computer Programming, Data Architecture, Probability & Statistics, Statistical Visualization, Algorithms, Artificial Neural Networks, Computational Logic, Computer Graphics, Data Visualization, Econometrics, Machine Learning Software, Mathematical Theory & Analysis, Network Analysis, Plot (Graphics), Programming Principles, Theoretical Computer Science

      4.5

      (33.1k reviews)

      Intermediate · Specialization · 3-6 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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      IBM Skills Network

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: Big Data, Data Architecture, Apache, Data Management, Databases, NoSQL, Distributed Computing Architecture, Database Theory, Database Administration, Data Structures, Database Application, Data Model, Computer Architecture, Data Analysis, Extract, Transform, Load, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Database Design, Data Warehousing, SQL, Cloud Applications, Cloud Computing, DevOps, Kubernetes, Network Architecture, Other Programming Languages, Algorithms, Computational Thinking, Computer Networking, Computer Programming, IBM Cloud, Mathematics, Theoretical Computer Science

      4.3

      (339 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

    • Data Analysis and Presentation Skills: the PwC Approach: PwC
    • Introduction to Statistics: Stanford University
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • IBM Machine Learning: IBM Skills Network
    • Genomic Data Science: Johns Hopkins University
    • Supply Chain Management: Rutgers the State University of New Jersey
    • IBM Introduction to Machine Learning: IBM Skills Network
    • Data Visualization with Tableau: University of California, Davis
    • Digital Marketing: University of Illinois at Urbana-Champaign
    • Applied Data Science with Python: University of Michigan

    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)
    Plan (17)
    Business Communication (16)
    Decision-making (16)
    Leadership (15)

    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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