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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

    • C

      Coursera Project Network

      Créer une présentation d’entreprise avec Piktochart

      Skills you'll gain: Presentations, User Accounts, Account Management, Data Visualization, Data Storytelling, Content Creation

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Designing Data Storage and Integration Solutions in Azure

      Skills you'll gain: Microsoft Azure, Data Architecture, Data Integration, Relational Databases, Data Storage, Disaster Recovery, NoSQL, Database Design, Data Management, Data Modeling, Database Management Systems, Scalability, Identity and Access Management, Encryption

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      H

      H2O.ai

      H2O Generative AI Starter Track

      Skills you'll gain: Prompt Engineering, Generative AI, Document Management, Artificial Intelligence, Technical Communication, Artificial Intelligence and Machine Learning (AI/ML), Application Programming Interface (API), Configuration Management

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Compensation Analysis in Law Firms

      Skills you'll gain: Compensation Management, Compensation Analysis, Compensation Strategy, Compensation and Benefits, People Analytics, Data-Driven Decision-Making, Benchmarking, Labor Compliance, Payroll, Generative AI, Employee Retention

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with GC - 繁體中文

      Skills you'll gain: Data Ethics, Artificial Intelligence, Business Ethics, Google Cloud Platform, Ethical Standards And Conduct, Compliance Training, Auditing, Artificial Intelligence and Machine Learning (AI/ML), Accountability, Continuous Improvement Process, Safety and Security

      Beginner · Course · 1 - 3 Months

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

      Universidades Anáhuac

      Modelos predictivos con Machine Learning

      Skills you'll gain: Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Regression Analysis, Feature Engineering, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Unsupervised Learning, Statistical Analysis, Machine Learning, Data Manipulation, Data Transformation

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Accelerating Analytical Queries using the AlloyDB Columnar Engine

      Skills you'll gain: Query Languages, Performance Tuning, Test Data, Database Systems, Database Management, Database Architecture and Administration, Test Case

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Introduction to Gemini for Google Workspace - Português

      Skills you'll gain: Productivity Software, Google Workspace, Generative AI, Data Ethics, Artificial Intelligence, Business Software, Enterprise Application Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Launching into Machine Learning - 한국어

      Skills you'll gain: Applied Machine Learning, Machine Learning Algorithms, Data Quality, Machine Learning, Data Cleansing, Supervised Learning, Exploratory Data Analysis, Google Cloud Platform, Regression Analysis, Big Data, Sampling (Statistics), Performance Tuning

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with GC - Italiano

      Skills you'll gain: Data Ethics, Business Ethics, Artificial Intelligence, Google Cloud Platform, Governance, Ethical Standards And Conduct, Governance Risk Management and Compliance, Artificial Intelligence and Machine Learning (AI/ML), Operational Analysis, Procedure Development

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      E

      E2E Testing

      Ungraded plugin Rev Share

      Skills you'll gain: Programming Principles, Engineering, Computer Programming, Electrical and Computer Engineering, Physics, General Science and Research

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Créer du contenu de sensibilisation à une cause sur Canva

      Skills you'll gain: Canva (Software), Content Creation, Graphic Design, Graphic and Visual Design, Creative Design, Design, Visual Design

      Beginner · Guided Project · Less Than 2 Hours

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

    • Créer une présentation d’entreprise avec Piktochart: Coursera Project Network
    • Designing Data Storage and Integration Solutions in Azure: Packt
    • H2O Generative AI Starter Track: H2O.ai
    • GenAI for Compensation Analysis in Law Firms: Coursera Instructor Network
    • Responsible AI: Applying AI Principles with GC - 繁體中文: Google Cloud
    • Modelos predictivos con Machine Learning: Universidades Anáhuac
    • Accelerating Analytical Queries using the AlloyDB Columnar Engine: Google Cloud
    • Introduction to Gemini for Google Workspace - Português: Google Cloud
    • Launching into Machine Learning - 한국어: Google Cloud
    • Responsible AI: Applying AI Principles with GC - Italiano: Google Cloud

    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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