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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


  • Status: Free Trial
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    Rice University

    Introduction to Electricity and Magnetism

    Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Torque (Physics), electromagnetics, Physics, Electrical Systems, Engineering Analysis, Electronics, Electronic Components, Engineering Calculations, Mechanics, Mathematical Modeling, Applied Mathematics, Problem Solving, Calculus, Advanced Mathematics, Mathematical Theory & Analysis, Differential Equations, Trigonometry, Integral Calculus

    4.7
    Rating, 4.7 out of 5 stars
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    265 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Analyze Traffic Sources with Analytics Dimensions

    Skills you'll gain: Google Analytics, Marketing Analytics, Web Analytics, Web Analytics and SEO, Data-Driven Decision-Making, Data Analysis, Analytics, Customer Insights, Analysis, Descriptive Analytics, Trend Analysis, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    L

    LearnKartS

    Search Engine Optimization Course

    Skills you'll gain: Keyword Research, Search Engine Optimization, Web Analytics and SEO, Web Analytics, Google Analytics, Digital Marketing, Content Strategy, Web Content, Content Creation, User Experience, Competitive Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    410 reviews

    Intermediate · Course · 1 - 3 Months

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    Alberta Machine Intelligence Institute

    Building and Deploying Generative AI Models

    Skills you'll gain: Generative AI Agents, Generative AI, Generative Model Architectures, LangChain, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Prompt Engineering, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Embeddings, Deep Learning, Transfer Learning, Model Evaluation, Development Environment, Natural Language Processing, Vector Databases

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
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    341 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Illinois Tech

    Linear Regression

    Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Data Science, Logistic Regression, Data Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    28 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    4.8
    Rating, 4.8 out of 5 stars
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    322 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Knowledge Accelerators

    Excel to Power BI: Data Analysis & Business Intelligence

    Skills you'll gain: Power BI, Data Presentation, Data Modeling, Data Visualization, Microsoft Excel, Data Visualization Software, Dashboard, Interactive Data Visualization, Business Intelligence, Pivot Tables And Charts, Data Import/Export, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Data Transformation, Data Analysis, Data Storytelling, Analytics, Trend Analysis, Data Management

    4.5
    Rating, 4.5 out of 5 stars
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    1.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    LearnKartS

    Google Ads Mastery : Create & Optimize Winning Campaigns

    Skills you'll gain: Google Ads, Bidding, Advertising Campaigns, Pay Per Click Advertising, Search Engine Marketing, Online Advertising, Keyword Research, Performance marketing, Digital Advertising, Campaign Management, Web Analytics, Marketing Strategies, Target Audience

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Analyze and Optimize User Retention

    Skills you'll gain: Looker (Software), Customer Retention, Customer Analysis, Customer Insights, Marketing Analytics, Trend Analysis, Data Analysis, Product Management, Performance Metric, Time Series Analysis and Forecasting, Strategic Marketing, Marketing Channel, Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Pittsburgh

    Master of Data Science

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Tool Calling, Data Visualization, Predictive Modeling, Database Design, Large Language Modeling, Database Management, Databases, Model Evaluation, Web Services, Data Ethics, Apache Spark, Bayesian Statistics, Data Visualization Software, Linear Algebra, Model Deployment, Data Governance, Regression Analysis, Data Analysis

    Earn a degree

    Degree · 1 - 4 Years

Searches related to applied statistics

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

  • Introduction to Electricity and Magnetism: Rice University
  • Analyze Traffic Sources with Analytics Dimensions: Coursera
  • Search Engine Optimization Course: LearnKartS
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Building and Deploying Generative AI Models: Alberta Machine Intelligence Institute
  • Fundamentals of Machine Learning in Finance: New York University
  • Linear Regression: Illinois Tech
  • Managing Machine Learning Projects: Duke University
  • Excel to Power BI: Data Analysis & Business Intelligence: Knowledge Accelerators
  • Google Ads Mastery : Create & Optimize Winning Campaigns: LearnKartS

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