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    • Statistical Analysis

    Statistical Analysis Courses Online

    Master statistical analysis for interpreting data. Learn about statistical methods, hypothesis testing, and data-driven decision making.

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    Explore the Statistical Analysis Course Catalog

    • I

      IBM

      IBM Program Manager

      Skills you'll gain: Program Management, Stakeholder Management, Resource Allocation, Agile Software Development, Stakeholder Engagement, Agile Methodology, Project Management Life Cycle, Kanban Principles, Change Management, Project Management Office (PMO), Organizational Strategy, Agile Project Management, Risk Management, Resource Management, Governance, Earned Value Management, Cost Management, Team Building, Project Management, Generative AI Agents

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • S

      Stanford University

      Divide and Conquer, Sorting and Searching, and Randomized Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Cloud Platforms, Data Management, Data Governance, Workflow Management, Application Deployment, Deep Learning, Applied Machine Learning, Machine Learning, Predictive Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University at Buffalo

      Digital Manufacturing & Design Technology

      Skills you'll gain: Model Based Systems Engineering, Systems Engineering, Product Lifecycle Management, Intrusion Detection and Prevention, Security Controls, Performance Measurement, Control Systems, Continuous Monitoring, Anomaly Detection, Machine Controls, Incident Response, Digital Transformation, Vulnerability Assessments, Process Analysis, Data Sharing, Manufacturing Processes, Manufacturing Operations, Product Design, Manufacturing and Production, Constructive Feedback

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Managing Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Presentation, Data Management, Management Training And Development, Technical Communication, Team Management, Analytical Skills, Team Leadership, Statistical Inference, Statistical Modeling, Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      Duke University

      Behavioral Finance

      Skills you'll gain: Behavioral Economics, Decision Making, Financial Planning, Finance, Consumer Behaviour, Financial Market, Economics, Psychology, Risk Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Machine Learning for All

      Skills you'll gain: Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Assess for Success: Marketing Analytics and Measurement

      Skills you'll gain: Media Planning, A/B Testing, Marketing Budgets, Key Performance Indicators (KPIs), Marketing Analytics, Marketing Effectiveness, Performance Measurement, Data Visualization, Google Analytics, Google Ads, Return On Investment, Spreadsheet Software, Data Presentation, Web Analytics, Online Advertising, Digital Marketing, Pivot Tables And Charts, Stakeholder Communications, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Everyday Excel

      Skills you'll gain: Data Import/Export, Microsoft Excel, Regression Analysis, Data Validation, Data Visualization, Depreciation, Data Management, Excel Macros, Excel Formulas, Statistical Modeling, Financial Analysis, Cash Flows, Predictive Modeling, Financial Modeling, Analysis, Microsoft Word, Business Mathematics, Mathematical Modeling, Complex Problem Solving, Financial Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New AI skills
      New AI skills
      A

      Adobe

      Adobe Content Creator

      Skills you'll gain: Color Theory, Social Media Content, Target Audience, Video Production, Typography, Color Matching, Multimedia, Content Creation, Generative AI, Graphic and Visual Design, Social Media Strategy, Content Performance Analysis, Social Media Marketing, Visual Design, Storyboarding, Design, Prompt Engineering, Adobe Creative Cloud, Data Ethics, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      770 reviews

      Beginner · Professional Certificate · 3 - 6 Months

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    1…373839…549

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

    • IBM Program Manager: IBM
    • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
    • Fundamentals of Reinforcement Learning: University of Alberta
    • Machine Learning on Google Cloud: Google Cloud
    • Digital Manufacturing & Design Technology: University at Buffalo
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Managing Data Analysis: Johns Hopkins University
    • Behavioral Finance: Duke University
    • Machine Learning for All: University of London
    • Assess for Success: Marketing Analytics and Measurement: Google

    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.‎

    Online Statistical Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Statistical Analysis skills. Choose from a wide range of Statistical Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Statistical Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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