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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: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Corporate Strategy

      Skills you'll gain: Stakeholder Management, Corporate Strategy, Mergers & Acquisitions, Corporate Sustainability, Business Strategy, Business Strategies, Global Marketing, Strategic Thinking, Strategic Planning, Organizational Strategy, Governance, Strategic Partnership, Business Ethics, Value Propositions, New Business Development, International Finance

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Michigan State University

      Developing An Entrepreneurial Mindset: First Step Towards Success

      Skills you'll gain: Entrepreneurship, Market Opportunities, Lean Methodologies, Open Mindset, Growth Mindedness, Strategic Thinking, New Business Development, Creative Thinking, Business Development, Personal Development, Self-Awareness, Innovation, Business Modeling, Overcoming Obstacles, Business, Risk Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      923 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Introduction to Web Development

      Skills you'll gain: Version Control, Hypertext Markup Language (HTML), GitHub, Git (Version Control System), HTML and CSS, Cascading Style Sheets (CSS), Web Design and Development, Web Development, Web Design, Web Content, Front-End Web Development, Web Servers, Image Analysis, Semantic Web, Cloud Hosting, Browser Compatibility

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Introduction to Events Management

      Skills you'll gain: Event Management, Event Marketing, Event Planning, Logistics Management, Hospitality, Planning, Operations Management, Coordinating, Budgeting, Promotional Strategies, Vendor Management, Marketing Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      224 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Artificial Intelligence, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      153 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      The Structured Query Language (SQL)

      Skills you'll gain: SQL, Database Management, Query Languages, Relational Databases, Database Design, Database Theory, Data Analysis, Data Access, Data Manipulation, Data Modeling

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Data Analysis for Managerial Decision-Making

      Skills you'll gain: Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Statistical Analysis, Quantitative Research, Data Analysis, Regression Analysis, Correlation Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Data Analysis and Interpretation

      Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Random Forest Algorithm, SAS (Software), Statistical Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Mindware: Critical Thinking for the Information Age

      Skills you'll gain: Data Analysis, Statistics, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Probability, Correlation Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • W

      Workday

      Workday in Action Series

      Skills you'll gain: Workday (Software), Benefits Administration, Payroll Processing, Payroll, Accounts Payable and Receivable, Accounting Software, Compensation Management, Human Capital, Workforce Management, Human Resources Software, Recruitment, Business Process Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      85 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Intellectual Property

      Skills you'll gain: Intellectual Property, Legal Strategy, Regulation and Legal Compliance, Business Strategy, Innovation, Case Law, Business Valuation, Economics, Policy Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      H

      HubSpot Academy

      Sales Training: Building Your Sales Career

      Skills you'll gain: Inside Sales, Sales Training, Consultative Selling, Sales, Sales Strategy, Sales Process, Relationship Building, Customer Relationship Building, Customer Analysis, Personalized Service

      4.7
      Rating, 4.7 out of 5 stars
      ·
      649 reviews

      Beginner · Course · 1 - 4 Weeks

    Business Statistics learners also search

    Statistics for Business
    Business Analysis
    Business English
    Business Calculus
    Market Research
    Business Skills
    Global Business
    International Business
    1…808182…569

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

    • Corporate Strategy: University of Illinois Urbana-Champaign
    • Developing An Entrepreneurial Mindset: First Step Towards Success : Michigan State University
    • Introduction to Web Development: University of California, Davis
    • Introduction to Events Management : Coursera Instructor Network
    • Microsoft AI & ML Engineering: Microsoft
    • The Structured Query Language (SQL): University of Colorado Boulder
    • Data Analysis for Managerial Decision-Making: Rice University
    • Data Analysis and Interpretation: Wesleyan University
    • Mindware: Critical Thinking for the Information Age : University of Michigan
    • Workday in Action Series: Workday

    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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