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    • Business Statistics

    Business Statistics Courses Online

    Learn business statistics for analyzing data and making informed decisions. Understand statistical methods and their applications in business.

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    Explore the Business Statistics Course Catalog

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Financial Controllers: Boosting Budget Accuracy

      Skills you'll gain: Financial Forecasting, Dashboard, Budgeting, Financial Management, Predictive Modeling, Forecasting, Power BI, Generative AI, Tableau Software, Business Intelligence, Financial Modeling, Artificial Intelligence, Microsoft Excel, Financial Analysis, Data Visualization Software

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      R Programming Essentials with Microsoft Tools

      Skills you'll gain: Version Control, GitHub, Data Manipulation, Git (Version Control System), Software Documentation, Microsoft Visual Studio, Microsoft Copilot, Data Import/Export, R Programming, Statistical Reporting, Statistical Analysis, Development Environment, Data Cleansing, Integrated Development Environments, Descriptive Statistics, Programming Principles, Debugging, Data Structures

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Master of Science in Computer Science

      Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, Real-Time Operating Systems, Field-Programmable Gate Array (FPGA), New Product Development, Failure Analysis, Delegation Skills, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Database Design, Unsupervised Learning, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Science in Electrical and Computer Engineering

      Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, Real-Time Operating Systems, Field-Programmable Gate Array (FPGA), New Product Development, Failure Analysis, Delegation Skills, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Database Design, Unsupervised Learning, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Supervised Learning, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Bayesian Statistics, Data Pipelines, Ggplot2, Dimensionality Reduction, Linear Algebra, Student Services, Data Processing, Big Data, Agentic systems, Anomaly Detection, A/B Testing, Unstructured Data, Deep Learning, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Inteligencia Artificial

      Skills you'll gain: Real-Time Operating Systems, Supervised Learning, Unsupervised Learning, Anomaly Detection, Computer Vision, Reinforcement Learning, Cloud-Native Computing, Natural Language Processing, Containerization, Deep Learning, Dimensionality Reduction, Artificial Intelligence, Machine Learning, CI/CD, Probability & Statistics, Control Systems, Data Ethics, Application Deployment, Epidemiology, Education Software and Technology

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Gestión y Políticas en Salud Pública

      Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Descriptive Analytics, Business Analytics, Biostatistics, Gerontology, Health Policy, Healthcare Ethics, Digital Transformation, Descriptive Statistics, Health Equity, Assertiveness, Statistical Hypothesis Testing, Telehealth, Health Disparities, Public Health, Object Oriented Programming (OOP), Program Evaluation, Occupational Safety and Health Administration (OSHA), Health Systems

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      Universidad de los Andes

      Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Anomaly Detection, Dimensionality Reduction, Artificial Intelligence, Machine Learning, Regression Analysis, Probability & Statistics, Data Ethics, Image Analysis, Natural Language Processing, Computer Vision, Embedded Systems, Applied Machine Learning, Linear Algebra, Machine Learning Algorithms, Statistical Methods, Predictive Modeling, Bayesian Statistics, Ethical Standards And Conduct

      Credit offered

      Mastertrack · 6 - 12 Months

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Ciencia de Datos

      Skills you'll gain: Revenue Management, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Unsupervised Learning, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Exploratory Data Analysis, Cloud Security, Network Model, Data Visualization

      Earn a degree

      Degree · 1 - 4 Years

    • O

      O.P. Jindal Global University

      M.A. in International Relations, Security, and Strategy

      Skills you'll gain: Diplomacy, Intelligence Collection and Analysis, Surveys, Environmental Laws, Environment, Qualitative Research, Sampling (Statistics), R Programming, Environmental Issue, Political Sciences, Economic Development, International Relations, Cybersecurity, Public Safety and National Security, Socioeconomics, Governance, Mitigation, Social Studies, Social Sciences, Security Strategy

      Earn a degree

      Degree · 1 - 4 Years

    • O

      O.P. Jindal Global University

      M.A. Public Policy

      Skills you'll gain: Econometrics, Surveys, Environmental Laws, Sampling (Statistics), Social Sciences, Public Policies, Political Sciences, Data Collection, Health Disparities, Economics, Policy, and Social Studies, Economic Development, Policy Analysis, Presentations, Diplomacy, International Relations, Economics, Complex Problem Solving, Research Methodologies, Socioeconomics, Governance

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, Real-Time Operating Systems, Field-Programmable Gate Array (FPGA), New Product Development, Failure Analysis, Delegation Skills, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Database Design, Unsupervised Learning, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    Business Statistics learners also search

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    1…555556557558

    In summary, here are 10 of our most popular business statistics courses

    • GenAI for Financial Controllers: Boosting Budget Accuracy: Coursera Instructor Network
    • R Programming Essentials with Microsoft Tools: Microsoft
    • Master of Science in Computer Science: University of Colorado Boulder
    • Master of Science in Electrical and Computer Engineering: University of Colorado Boulder
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Maestría en Inteligencia Artificial: Universidad de los Andes
    • Certificado en Gestión y Políticas en Salud Pública: Pontificia Universidad Católica de Chile
    • Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®: Universidad de los Andes
    • Magíster en Ciencia de Datos: Pontificia Universidad Católica de Chile
    • M.A. in International Relations, Security, and Strategy: O.P. Jindal Global University

    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 Business Statistics

    Business Statistics refers to the application of statistical methods and techniques to analyze and interpret data in a business context. It involves collecting, organizing, summarizing, and analyzing data to make informed business decisions. Business Statistics helps in identifying patterns, trends, and relationships in data to support effective decision-making and solve business problems.‎

    To excel in Business Statistics, you need to develop the following skills:

    • Statistical Analysis: Knowledge of statistical concepts, methods, and techniques used in analyzing business data.
    • Data Collection and Management: Understanding how to collect and organize data for analysis, including data cleaning and data preprocessing.
    • Data Visualization: Proficiency in using charts, graphs, and visual tools to present data in a clear and meaningful way.
    • Statistical Software: Familiarity with statistical software packages like Excel, SPSS, R, or Python for data analysis and visualization.
    • Hypothesis Testing: Ability to formulate hypotheses, conduct statistical tests, and make inferences about population parameters.
    • Regression Analysis: Understanding and applying regression models to analyze relationships between variables and make predictions.
    • Forecasting: Knowledge of forecasting techniques to predict future trends and patterns based on historical data.
    • Probability and Probability Distributions: Understanding probability concepts and probability distributions used in statistical analysis.
    • Sampling Techniques: Knowledge of different sampling methods and their applications in collecting data from a population.
    • Statistical Interpretation: Ability to interpret statistical results and communicate findings effectively to non-technical stakeholders.‎

    With Business Statistics skills, you can pursue various job opportunities, including:

    • Data Analyst
    • Business Analyst
    • Market Research Analyst
    • Financial Analyst
    • Operations Analyst
    • Supply Chain Analyst
    • Risk Analyst
    • Marketing Analyst
    • Pricing Analyst
    • Quality Analyst

    These roles involve working with data, analyzing business trends, making data-driven recommendations, and supporting strategic decision-making within organizations.‎

    Business Statistics is well-suited for individuals who possess the following qualities:

    • Analytical Mindset: A natural inclination and curiosity to analyze and interpret data to solve business problems.
    • Attention to Detail: Ability to pay attention to small details in data and ensure accuracy in analysis.
    • Problem-Solving Skills: Aptitude for identifying business challenges and using statistical techniques to find solutions.
    • Critical Thinking: The ability to think critically and make logical connections between data and business outcomes.
    • Strong Mathematical Foundation: Proficiency in mathematical concepts such as algebra, probability, and calculus.
    • Effective Communication: The skill to present complex statistical concepts and findings in a clear and concise manner.
    • Business Acumen: Understanding of business processes, objectives, and the ability to link statistical insights to business strategies.
    • Collaboration: The capability to work effectively in teams and collaborate with stakeholders from different functional areas.
    • Adaptability: The willingness to adapt to new tools, techniques, and industry-specific data sets to address diverse business challenges.
    • Ethical Conduct: Commitment to maintaining ethical standards in data collection, analysis, and decision-making.‎

    Several topics are related to Business Statistics that you can study to enhance your skills and knowledge, including:

    • Descriptive Statistics: Understanding and summarizing data using measures like mean, median, mode, and standard deviation.
    • Probability and Probability Distributions: Learning probability concepts and common probability distributions like normal, binomial, and exponential.
    • Statistical Inference: Applying techniques like hypothesis testing, confidence intervals, and sample size determination.
    • Regression Analysis: Studying simple linear regression, multiple regression, and logistic regression for prediction and modeling.
    • Time Series Analysis: Exploring techniques to analyze and forecast time-dependent data patterns.
    • Experimental Design: Understanding the principles of designing and conducting experiments to test hypotheses.
    • Decision Analysis: Applying statistical decision-making techniques to make optimal choices under uncertainty.
    • Data Mining and Machine Learning: Learning techniques to discover patterns and relationships in large datasets and make predictions.
    • Business Forecasting: Exploring methods for predicting future business trends and demand patterns.
    • Statistical Software: Gaining proficiency in using statistical software like Excel, SPSS, R, or Python for data analysis and visualization.

    Exploring these topics through online courses, textbooks, practical projects, and real-world case studies will provide you with a solid foundation in Business Statistics and equip you with the skills needed to analyze and interpret data for business decision-making.‎

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

    When looking to enhance your workforce's skills in Business Statistics, 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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