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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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    IBM

    Forecasting & Scenario Development with AI

    Skills you'll gain: Financial Forecasting, Forecasting, Demand Planning, Revenue Forecasting, Financial Data, Trend Analysis, Financial Modeling, Time Series Analysis and Forecasting, Contingency Planning, Responsible AI, Budgeting, Data-Driven Decision-Making, Advanced Analytics, Predictive Analytics, Decision Intelligence, Financial Analysis, Prompt Engineering, Financial Planning, Decision Support Systems, Performance Stress Testing

    Beginner · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Introduction to Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Artificial Neural Networks, Markov Model, Algorithms, Artificial Intelligence, Statistical Inference, Statistical Modeling, Network Model, Forecasting, Computational Logic, Dependency Analysis, Statistical Methods, Probability Distribution, Data-Driven Decision-Making, Time Series Analysis and Forecasting, Sampling (Statistics), Model Optimization, Solution Design, Technical Design

    3.8
    Rating, 3.8 out of 5 stars
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    11 reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Deep Learning Model Engineering and Optimization

    Skills you'll gain: Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Model Training, Model Deployment, AI Workflows, Convolutional Neural Networks, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Performance Tuning, Network Model, Artificial Neural Networks, Technical Communication

    Intermediate · Course · 1 - 3 Months

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    J

    Johns Hopkins University

    Data – What It Is, What We Can Do With It

    Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Data Presentation, Descriptive Statistics, Analytics, Descriptive Analytics, Research Methodologies, Statistics, Analytical Skills, Quantitative Research, Statistical Methods, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    186 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Machine Learning Engineer: ML and Deep Learning Models

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    SAS

    Getting Started with SAS Programming

    Skills you'll gain: SAS (Software), Statistical Reporting, Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Exploratory Data Analysis, Data Analysis Software, Data Preprocessing, Data Analysis, Data Transformation, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    3.2K reviews

    Beginner · Course · 1 - 3 Months

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    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

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    The Hong Kong University of Science and Technology

    Vector Calculus for Engineers

    Skills you'll gain: Integral Calculus, Calculus, Engineering Analysis, electromagnetics, Engineering, Geometry, Advanced Mathematics, Applied Mathematics, Mechanics, Physics, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 3 Months

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    N

    Northwestern University

    Fundamentals of Digital Image and Video Processing

    Skills you'll gain: Digital Signal Processing, Image Quality, Image Analysis, Medical Imaging, Telecommunications, Communication Systems, Matlab, Mathematical Modeling, Color Theory, Applied Mathematics, Estimation, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
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    1.8K reviews

    Mixed · Course · 1 - 3 Months

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    Edureka

    Data Engineering and Spark Foundations for AI and ML

    Skills you'll gain: Databricks, PySpark, Apache Spark, Data Lakes, Data Pipelines, Data Processing, Data Warehousing, Distributed Computing, Data Architecture, JSON, Data Import/Export, Applied Machine Learning, Data Management, Data Entry, Database Architecture and Administration, Data Collection, SQL, Python Programming, Machine Learning, Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Radiology, Statistical Methods, Data Analysis, Research Design, Image Analysis, Neurology, Hemodynamics, Data Preprocessing, Regression Analysis, Science and Research, Statistical Analysis, Statistical Modeling, Spatial Analysis, Statistical Inference, Statistics, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    852 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    R

    Rice University

    Introduction to Data Analysis Using Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Presentation, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Forecasting & Scenario Development with AI: IBM
  • Introduction to Artificial Intelligence: University of Colorado Boulder
  • Deep Learning Model Engineering and Optimization: Coursera
  • Data – What It Is, What We Can Do With It: Johns Hopkins University
  • Machine Learning Engineer: ML and Deep Learning Models: Coursera
  • Getting Started with SAS Programming: SAS
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Vector Calculus for Engineers: The Hong Kong University of Science and Technology
  • Fundamentals of Digital Image and Video Processing: Northwestern University
  • Data Engineering and Spark Foundations for AI and ML: Edureka

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