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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

    • Status: New
      New
      C

      Coursera

      YouTube Insights: Crack the Algorithm

      Skills you'll gain: Content Performance Analysis, Content Strategy, Web Analytics, Content Creation, Social Media Content, Social Media Strategy, Digital Content, Key Performance Indicators (KPIs), Performance Metric, Growth Strategies, Performance Analysis, Digital Media Strategy, Promotional Strategies, Target Audience, Customer Insights

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP - Italiano

      Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, Machine Learning, Predictive Modeling, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Alteryx Mastery: Data Analytics & Workflow Automation

      Skills you'll gain: Data Import/Export, Alteryx, Data Visualization, Business Analytics, Data Governance, Workflow Management, Operational Efficiency, Data Cleansing, Data Management, Data Manipulation, Data Transformation, Data Analysis, Business Process Automation, Data Integration, Automation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Azure Data Engineering: Cosmos DB, SQL & Analytics

      Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Transact-SQL, Data Storage, Data Architecture, Performance Tuning, Query Languages, SQL, NoSQL, Cloud-Native Computing, Data Processing, Business Intelligence, Analytics, Cloud Computing Architecture, Data Integration, Data Modeling, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure ML: Explore & Configure the Machine Learning Workspace

      Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Serverless Data Processing with Dataflow: Operations - 日本語版

      Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Debugging, Performance Tuning, Continuous Deployment, Data Integrity, Serverless Computing, CI/CD, Unit Testing, Google Cloud Platform, Disaster Recovery, Integration Testing

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - 한국어

      Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Intelligence, Machine Learning, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - Português Brasileiro

      Skills you'll gain: Data Pipelines, Cloud Storage, Apache Airflow, Data Warehousing, Extract, Transform, Load, Data Integration, Data Processing, Data Migration, Google Cloud Platform, Big Data, Data Storage Technologies, Automation, Serverless Computing

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - Deutsch

      Skills you'll gain: Google Cloud Platform, Customer Analysis, Generative AI, Marketing Analytics, Big Data, Analytics, Advanced Analytics, Customer Insights, Data-Driven Decision-Making, Data Analysis, Predictive Modeling, Marketing Strategies, Forecasting

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - 한국어

      Skills you'll gain: Customer Insights, Customer Analysis, Machine Learning Methods, Artificial Intelligence, Sales Strategy, Generative AI, Google Cloud Platform, Predictive Analytics, Analytics, Customer Data Management, Time Series Analysis and Forecasting, Marketing Strategies, Data Modeling

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - 日本語版

      Skills you'll gain: Data Sharing, Extract, Transform, Load, Cloud Storage, Google Cloud Platform, Data Migration, Data Pipelines, Data Import/Export, Big Data, Data Infrastructure, Data Warehousing, Apache Airflow, Data Storage, Data Processing, Data Management, Metadata Management, Automation, Serverless Computing

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Modernizing Data Lakes & Data Warehouses with GC - Italiano

      Skills you'll gain: Data Lakes, Data Warehousing, Google Cloud Platform, Data Infrastructure, Cloud Solutions, Cloud Storage, Data Architecture, Big Data, Data Processing, SQL, Data Analysis, Query Languages

      Intermediate · Course · 1 - 3 Months

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

    • YouTube Insights: Crack the Algorithm: Coursera
    • Smart Analytics, Machine Learning, and AI on GCP - Italiano: Google Cloud
    • Alteryx Mastery: Data Analytics & Workflow Automation: Coursera Instructor Network
    • Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera Instructor Network
    • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
    • Serverless Data Processing with Dataflow: Operations - 日本語版 : Google Cloud
    • Introduction to AI and Machine Learning on GC - 한국어: Google Cloud
    • Introduction to Data Engineering on Google Cloud - Português Brasileiro: Google Cloud
    • Gemini for Data Scientists and Analysts - Deutsch: Google Cloud
    • Gemini for Data Scientists and Analysts - 한국어: 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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