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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

    • G

      Google Cloud

      Sending and Scheduling Looks in Looker

      Skills you'll gain: Looker (Software), Data Sharing, Data Visualization Software, Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      Ace the Computer Science Interview: Strategies for Success

      Skills you'll gain: Verbal Communication Skills, Communication, Critical Thinking, Problem Solving, Composure, Computer Programming, Computer Science, Planning, Complex Problem Solving, Algorithms, Data Structures, Stress Management, Adaptability

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Cape Town

      Curso con proyecto final: Comienza tu futuro en fintech

      Skills you'll gain: Business Modeling, Peer Review, FinTech, Presentations, Entrepreneurship, Business Planning, Business Strategies, Financial Regulations, Business Analysis, Regulatory Requirements, New Product Development, Competitive Analysis, Customer Analysis, Market Opportunities, Value Propositions, Market Research

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Impacts of Sustainable Operations and Supply Chains

      Skills you'll gain: Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Sustainability Reporting, Strategic Sourcing, Procurement, Supply Chain Management, Labor Compliance, Compliance Management, Business Reporting, Supplier Management, Ethical Standards And Conduct, Waste Minimization, Product Lifecycle Management, Stakeholder Engagement

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      النماذج المتعاقبة

      Skills you'll gain: Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence, Machine Learning, Time Series Analysis and Forecasting, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Decoding BFSI: Key Segments and Functions in Finance

      Skills you'll gain: Investment Banking, Financial Services, Banking, Financial Regulations, Insurance, Business Ethics, Financial Sales, Underwriting, Commercial Banking, Retail Banking, Mobile Banking, Portfolio Management, Credit Risk, Financial Planning, Risk Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Prescriptive Analytics

      Skills you'll gain: Operations Research, Analytics, Business Analytics, Process Optimization, Digital Transformation, Predictive Analytics, Advanced Analytics, Data-Driven Decision-Making, Strategic Decision-Making, Business Mathematics, Data Science, Process Analysis, Complex Problem Solving, Python Programming, Linear Algebra

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Goldman Sachs

      Goldman Sachs 10,000 Women के साथ, संचालन के मूल सिद्धांत

      Skills you'll gain: Process Mapping, Business Operations, Business Process, Operations Management, Business Process Improvement, Operational Excellence, Process Improvement, Operational Efficiency, Technology Strategies, Business Development, Growth Strategies, Customer Service, Business Strategy, Competitive Analysis

      Mixed · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Engaging in Enterprise Growth and Innovation

      Skills you'll gain: User Centered Design, Innovation, Experience Design, Digital Transformation, Platform As A Service (PaaS), Software As A Service, Technology Strategies, Design Thinking, Service Design, Business Strategy, Growth Strategies, Competitive Analysis, Value Propositions, Business Solutions, New Business Development, New Product Development, Product Development, Healthcare Industry Knowledge

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Débuter avec ImageJ

      Skills you'll gain: Image Analysis, Data Analysis, Scientific Visualization, Data Visualization Software, Histogram, Software Installation, User Interface (UI)

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Strategic Product Management

      Skills you'll gain: Technical Product Management, Product Management, Design Thinking, Product Development, Go To Market Strategy, Product Lifecycle Management, Agile Methodology, Market Analysis, Product Strategy, New Product Development, Data Visualization Software, Competitive Analysis, Microsoft Excel, User Experience, Data Analysis, Cross-Functional Collaboration

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      투자 기술의 혁신: AI

      Skills you'll gain: FinTech, Wealth Management, Asset Management, Investment Management, Big Data, Financial Trading, Portfolio Management, Artificial Neural Networks, Artificial Intelligence, Data-Driven Decision-Making, Machine Learning, Predictive Analytics

      Beginner · Course · 1 - 4 Weeks

    Statistical Analysis learners also search

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    Predictive Analytics
    Statistical Inference
    Predictive Modeling
    Regression Analysis
    Advanced R Programming
    Beginner Predictive Analytics
    1…520521522…564

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

    • Sending and Scheduling Looks in Looker: Google Cloud
    • Ace the Computer Science Interview: Strategies for Success: Coursera Instructor Network
    • Curso con proyecto final: Comienza tu futuro en fintech: University of Cape Town
    • Impacts of Sustainable Operations and Supply Chains: University of Colorado Boulder
    • النماذج المتعاقبة: DeepLearning.AI
    • Decoding BFSI: Key Segments and Functions in Finance: Board Infinity
    • Prescriptive Analytics: Dartmouth College
    • Goldman Sachs 10,000 Women के साथ, संचालन के मूल सिद्धांत: Goldman Sachs
    • Engaging in Enterprise Growth and Innovation: Northeastern University
    • Débuter avec ImageJ: Coursera Project Network

    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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