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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

    • G

      Google Cloud

      Preparing for Your Cloud Architect Journey - Português

      Skills you'll gain: Cloud Computing Architecture, Cloud Infrastructure, Cloud Solutions, Solution Architecture, Cloud Management, Cloud Computing, Cloud Security, System Implementation, Process Improvement, Google Cloud Platform, Test Planning, Cost Management, Business Requirements, Scalability

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Google Cloud 기반 데이터 분석 입문

      Skills you'll gain: Looker (Software), Data-Driven Decision-Making, Data Analysis, Analytics, Big Data, Business Analytics, Google Cloud Platform, Data Visualization Software, Data Transformation, Interactive Data Visualization, Data Cleansing, Data Warehousing, Data Storage, SQL

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Utiliser BigQuery Machine Learning pour l'inférence

      Skills you'll gain: Big Data, Data Analysis, Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Statistical Inference, Machine Learning Methods, Machine Learning Algorithms

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Polski

      Skills you'll gain: Artificial Intelligence, Data Ethics, Data Analysis, Software Visualization, Exploratory Data Analysis, Technical Documentation, Applied Machine Learning, Machine Learning Methods, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      透過 BigQuery 機器學習執行推論作業

      Skills you'll gain: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Analytics, Applied Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 繁體中文

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Data Pipelines, Data Manipulation, Big Data, Google Cloud Platform, Data Transformation, Data Visualization Software, Generative AI Agents, SQL, Artificial Intelligence and Machine Learning (AI/ML), Debugging

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - Indonesian

      Skills you'll gain: Exploratory Data Analysis, Google Cloud Platform, Data Wrangling, Interactive Data Visualization, Data Visualization, Generative AI, Debugging, SQL

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Cloud 上の Gemini 1.0 Pro とアプリケーションの統合

      Skills you'll gain: Generative AI, Google Cloud Platform, Prompt Engineering, Application Development, Test Case, Cloud Applications, Application Programming Interface (API), Image Analysis

      Beginner · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      Amazon Connect: Introduction to the Administrative Interface

      Skills you'll gain: Dashboard, Report Writing, Business Reporting, Management Reporting, Performance Reporting, Ad Hoc Reporting, Real Time Data, Call Center Experience, Administration, Workforce Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Introdução à segurança no mundo da IA

      Skills you'll gain: Security Strategy, Data Security, Risk Management, Safety and Security, Data Ethics, Business Risk Management, Regulation and Legal Compliance, Compliance Management, Cybersecurity, Infrastructure Security, Artificial Intelligence, Machine Learning, Generative AI

      Beginner · Course · 1 - 4 Weeks

    • I

      Indian Statistical Institute

      Postgraduate Diploma in Applied Statistics

      Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Machine Learning, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Database Management Systems, Economics, Statistical Modeling, Data Compilation, Dimensionality Reduction, Statistical Methods, Lifelong Learning, Regression Analysis, Statistics, Bayesian Statistics, Surveys, Market Data

      Postgraduate Diploma · 6 - 12 Months

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Modelos Analíticos para la Toma de Decisiones de Negocio

      Skills you'll gain: Descriptive Analytics, Business Analytics, Statistical Reporting, Dimensionality Reduction, Data Mining, Statistical Modeling, Predictive Modeling, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Big Data, Analytics, Data Literacy, Data Visualization, Data-Driven Decision-Making, Visualization (Computer Graphics), Data Visualization Software, Statistical Visualization, Analytical Skills

      Credit offered

      Mastertrack · 6 - 12 Months

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

    • Preparing for Your Cloud Architect Journey - Português: Google Cloud
    • Google Cloud 기반 데이터 분석 입문: Google Cloud
    • Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - Polski: Google Cloud
    • 透過 BigQuery 機器學習執行推論作業: Google Cloud
    • Boost Productivity with Gemini in BigQuery - 繁體中文: Google Cloud
    • Boost Productivity with Gemini in BigQuery - Indonesian: Google Cloud
    • Google Cloud 上の Gemini 1.0 Pro とアプリケーションの統合: Google Cloud
    • Amazon Connect: Introduction to the Administrative Interface: Amazon Web Services
    • Introdução à segurança no mundo da IA: 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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