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  • Applied Statistics

Applied Statistics Courses

Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.


Popular Applied Statistics Courses and Certifications


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    Coursera

    Optimize Sales with AI E-commerce Analytics

    Skills you'll gain: Data-Driven Marketing, Sales Strategy, Digital Analysis, Content Optimization, Web Analytics, Search Engine Optimization, Copywriting, Data Analysis, Keyword Research, Revenue Management, Spatial Data Analysis

    Beginner · Course · 1 - 4 Weeks

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    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Algorithms & Recursion

    Skills you'll gain: Cryptography, Algorithms, Encryption, Theoretical Computer Science, Combinatorics, Arithmetic, Applied Mathematics, Logical Reasoning

    Beginner · Course · 1 - 3 Months

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    Northeastern University

    Data Visualization with Python & R for Engineers

    Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Statistical Visualization, Data-Driven Decision-Making, Data Visualization Software, Plot (Graphics), Data Preprocessing, Data Mining, Exploratory Data Analysis, Data Cleansing, Data Processing, Unstructured Data, Graphing, Big Data, Programming Principles, Python Programming, NumPy, Computer Programming

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Apply Python for Practical Financial Data Analysis

    Skills you'll gain: Trend Analysis, Financial Data, Market Trend, Data-Driven Decision-Making, Plot (Graphics), Financial Analysis, Technical Analysis, Market Data, Financial Trading, Financial Market, Correlation Analysis, Python Programming, Data Manipulation, Data Structures, Data Import/Export

    Beginner · Course · 1 - 4 Weeks

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    Microsoft

    CRM Integration and AI for Customer Management

    Skills you'll gain: AI Personalization, Customer Engagement, Customer experience improvement, Customer Relationship Management (CRM) Software, Customer Retention, Sales Strategy, Customer Analysis, Customer Relationship Management, Workflow Management, Driving engagement, Sales, Customer Insights, Customer Data Management, AI Integrations, AI literacy, Microsoft Copilot, Data Ethics, Debugging, Responsible AI, Trend Analysis

    Advanced · Course · 1 - 4 Weeks

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    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, R Programming, R (Software), Data Preprocessing, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Analysis, Data Processing

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Understand and Apply AI Fundamentals with AWS

    Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning Algorithms, AWS SageMaker, Amazon Bedrock, Machine Learning, AI literacy, Model Training, Amazon Web Services, Convolutional Neural Networks, Supervised Learning, Model Deployment, Natural Language Processing, LLM Application, Unsupervised Learning

    Beginner · Course · 1 - 3 Months

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    Coursera

    Detect AI Anomalies: Real-Time Outliers

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Model Evaluation, Threat Detection, Statistical Analysis, Model Optimization, Statistical Hypothesis Testing, Trend Analysis, Real Time Data, Statistical Methods, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Master Java Build Tools for ML Projects

    Skills you'll gain: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Java Programming, Apache Maven, MLOps (Machine Learning Operations), Package and Software Management, Applied Machine Learning, Dependency Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Deploy Applications with Docker: Build Real-World Projects

    Skills you'll gain: Docker (Software), Containerization, Application Deployment, DevOps, Development Environment, Cloud Deployment, Data Persistence, Software Architecture, Data Storage, Spring Boot, MySQL, Data Management, WordPress

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Preparing and Aggregating Data for Visualizations using Cloud Dataprep

    Skills you'll gain: Data Visualization Software, Data Wrangling, Dashboard Creation, Data Manipulation, Google Cloud Platform, Data Import/Export, Data Transformation, Data Cleansing, Dataflow, Data Analysis, Sampling (Statistics), Course Development

    Beginner · Project · Less Than 2 Hours

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    Simplilearn

    Foundations of Agile and Core Frameworks Training

    Skills you'll gain: Scaled Agile Framework, Agile Project Management, Agile Software Development, Agile Methodology, Scrum (Software Development), Kanban Principles, Lean Methodologies, Business Transformation, Organizational Change, Waterfall Methodology, Scope Management, Process Mapping, Continuous Improvement Process, Prioritization, Requirements Analysis

    Beginner · Course · 1 - 4 Weeks

1…248249250…307

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

  • Optimize Sales with AI E-commerce Analytics: Coursera
  • Discrete Math for Computer Science - Algorithms & Recursion: The Hong Kong University of Science and Technology
  • Data Visualization with Python & R for Engineers: Northeastern University
  • Apply Python for Practical Financial Data Analysis: EDUCBA
  • CRM Integration and AI for Customer Management: Microsoft
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Understand and Apply AI Fundamentals with AWS: EDUCBA
  • Detect AI Anomalies: Real-Time Outliers: Coursera
  • Master Java Build Tools for ML Projects: Coursera
  • Deploy Applications with Docker: Build Real-World Projects: EDUCBA

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