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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.


More to explore:

Popular Applied Statistics Courses and Certifications


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    Google Cloud

    Attention Mechanism - Français

    Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
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    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)

    Intermediate · Guided Project · Less Than 2 Hours

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    EDUCBA

    Master Revenue Recognition with IFRS 15 & ASC 606

    Skills you'll gain: Revenue Recognition, International Financial Reporting Standards, Financial Reporting, Contract Accounting, Generally Accepted Accounting Principles (GAAP), Revenue Management, Financial Accounting, Contract Management

    Mixed · Course · 1 - 4 Weeks

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    Erasmus University Rotterdam

    Entrepreneurial Competencies for Landscape Restoration

    Skills you'll gain: Design Thinking, Sustainable Development, Sustainable Business, Entrepreneurship, Environmental Social And Corporate Governance (ESG), Product Development, Business Modeling, Innovation, Investment Banking, Ideation, Stakeholder Management, Customer Analysis

    Beginner · Course · 1 - 3 Months

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    Johns Hopkins University

    Introduction to Reproducibility in Cancer Informatics

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Informatics, Clinical Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Version Control, Integrated Development Environments

    Intermediate · Course · 1 - 3 Months

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    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Dataprep: Qwik Start

    Skills you'll gain: Data Cleansing, Exploratory Data Analysis, Data Preprocessing, Data Manipulation, Data Transformation, Data Quality, Data Analysis, Data Visualization, Google Cloud Platform, Data Management

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    Coursera

    GenAI for Performance Reviews: Streamline Feedback Processes

    Skills you'll gain: Performance Review, Employee Performance Management, AI Personalization, Workforce Development, Employee Coaching, AI Enablement, People Development, Human Resource Strategy, Constructive Feedback, Performance Analysis, Automation, Coaching, Data-Driven Decision-Making, Trend Analysis, Analysis

    Beginner · Course · 1 - 4 Weeks

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    Board Infinity

    AI-Driven Attribution Testing

    Skills you'll gain: Data-Driven Decision-Making, Strategic Decision-Making, AI Enablement, Data Ethics, Marketing Analytics, Trend Analysis, Case Studies, Artificial Intelligence, Strategic Planning, Marketing Strategies, Business Ethics

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Model Evaluation, Applied Machine Learning, Cloud Solutions, Automation, Data Management

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Python: Master House Price Prediction with Linear Regression

    Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib

    Mixed · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

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

  • Attention Mechanism - Français: Google Cloud
  • MLOps in R: Deploying machine learning models using vetiver: Coursera
  • Master Revenue Recognition with IFRS 15 & ASC 606: EDUCBA
  • Entrepreneurial Competencies for Landscape Restoration: Erasmus University Rotterdam
  • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Dataprep: Qwik Start: Google Cloud
  • GenAI for Performance Reviews: Streamline Feedback Processes: Coursera
  • AI-Driven Attribution Testing: Board Infinity
  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud

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