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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

      Feature Engineering - Italiano

      Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Processing, Data Pipelines, Keras (Neural Network Library), Data Transformation, Data Modeling, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Italiano

      Skills you'll gain: Data Ethics, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Machine Learning, Data Integrity, Artificial Intelligence, Technical Documentation, Data Governance

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 繁體中文

      Skills you'll gain: Generative AI, Google Cloud Platform, Big Data, Customer Relationship Management, SQL, Business Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Français

      Skills you'll gain: Information Privacy, Cloud Security, Generative AI, Personally Identifiable Information, Google Cloud Platform, Data Security, Artificial Intelligence, Safety and Security, Encryption, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • A

      Automatic Data Processing, Inc. (ADP)

      Tracking and Reporting

      Skills you'll gain: Performance Analysis, Key Performance Indicators (KPIs), Change Management, Performance Measurement, Recruitment, Process Improvement, Business Metrics, Talent Acquisition, Benchmarking, Recruitment Strategies, Continuous Improvement Process

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版

      Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Google Cloud Platform, Data Quality, Predictive Modeling, Machine Learning Methods, Machine Learning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Network Architecture - 日本語版

      Skills you'll gain: Network Troubleshooting, Network Architecture, Network Planning And Design, Cloud Computing Architecture, General Networking, Google Cloud Platform, Network Security, Network Analysis, Network Performance Management, Virtual Private Networks (VPN), Firewall, Scalability, Load Balancing, Cloud Security

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 한국어

      Skills you'll gain: Generative AI, Customer Relationship Management, Workflow Management, Google Cloud Platform, Applied Machine Learning, Big Data, Business Modeling, Artificial Intelligence and Machine Learning (AI/ML), SQL, Predictive Modeling, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Building Batch Data Pipelines on Google Cloud - 한국어

      Skills you'll gain: Dataflow, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Processing, Google Cloud Platform, Data Integration, Serverless Computing, Big Data, Apache Spark, Cloud Storage, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - Français

      Skills you'll gain: Extract, Transform, Load, Cloud Engineering, Google Cloud Platform, Data Migration, Data Sharing, Metadata Management, Data Processing, Data Lakes, Data Infrastructure, Data Pipelines, Data Integration, Data Warehousing, Cloud Storage, Big Data, Data Storage, Data Transformation, Automation

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Science Graduate Certificate

      Skills you'll gain: Data Mining, Statistical Modeling, Unsupervised Learning, Supervised Learning, Service Level, Deep Learning, Machine Learning Algorithms, Statistical Inference, Statistical Hypothesis Testing, Probability, Dimensionality Reduction, Applied Machine Learning, Data Warehousing, Statistical Machine Learning, Data Pipelines, Data Processing, Probability & Statistics, Performance Testing, Bash (Scripting Language), Data Science

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - 한국어

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

      Intermediate · Course · 1 - 4 Weeks

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

    • Feature Engineering - Italiano: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - Italiano: Google Cloud
    • Work with Gemini Models in BigQuery - 繁體中文: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Français: Google Cloud
    • Tracking and Reporting: Automatic Data Processing, Inc. (ADP)
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
    • Networking in Google Cloud: Network Architecture - 日本語版: Google Cloud
    • Work with Gemini Models in BigQuery - 한국어: Google Cloud
    • Building Batch Data Pipelines on Google Cloud - 한국어: Google Cloud
    • Introduction to Data Engineering on Google Cloud - Français: 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 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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