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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: New
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    EDUCBA

    Analyze Advanced Data Projects Using SPSS

    Skills you'll gain: SPSS (Software), Correlation Analysis, Data Visualization, Descriptive Statistics, Advanced Analytics, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Reporting, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Methods, Statistical Inference

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Craft Dashboards & Summaries

    Skills you'll gain: Descriptive Statistics, Dashboard, Histogram, Data Presentation, Data Storytelling, Exploratory Data Analysis, Tableau Software, Data Visualization, Interactive Data Visualization, Data-Driven Decision-Making, Analytics, Business Analysis, Strategic Decision-Making, Data Quality, Performance Analysis, Stakeholder Analysis, Business Metrics, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting

    4.7
    Rating, 4.7 out of 5 stars
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    2.5K reviews

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Investment Risk Management

    Skills you'll gain: Portfolio Risk, Investment Management, Risk Management, Financial Analysis, Risk Analysis, Portfolio Management, Financial Market, Investments, Return On Investment, Statistics

    4.4
    Rating, 4.4 out of 5 stars
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    2.2K reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, Javascript, Network Security, Computer Networking, Computer Programming Tools, Applied Mathematics, Computer Graphics, Web Design and Development, Software Development Tools, Cybersecurity, Computational Thinking, Computer Programming, General Mathematics, Problem Solving

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
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    1.6K reviews

    Beginner · Specialization · 1 - 3 Months

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    Johns Hopkins University

    The Data Scientist’s Toolbox

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
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    34K reviews

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Optimize AI: Fine-Tune & Maximize Accuracy

    Skills you'll gain: Vision Transformer (ViT), Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Keras (Neural Network Library), Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Network Model, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Matlab, Mathematical Modeling, Computational Thinking, Recurrent Neural Networks (RNNs), Applied Mathematics, Physiology, Biology, Linear Algebra, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

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    U

    Universidad Nacional Autónoma de México

    Álgebra básica

    Skills you'll gain: Algebra, General Mathematics, Arithmetic, Applied Mathematics, Geometry

    4.8
    Rating, 4.8 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    735 reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Debug Neural Networks: Analyze Training Dynamics

    Skills you'll gain: Applied Machine Learning, Analysis, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Python Data Analysis

    Skills you'll gain: NumPy, Time Series Analysis and Forecasting, Scikit Learn (Machine Learning Library), Pandas (Python Package), Matplotlib, Data Analysis, Predictive Analytics, Data Visualization, Database Management, Applied Machine Learning, Scientific Visualization, Data Manipulation, Data Science, Statistics, Python Programming, Statistical Analysis, Data Wrangling, Big Data, NoSQL, Data Preprocessing

    Beginner · Course · 1 - 3 Months

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

  • Analyze Advanced Data Projects Using SPSS: EDUCBA
  • Craft Dashboards & Summaries: Coursera
  • AI for Medicine: DeepLearning.AI
  • Investment Risk Management: Coursera
  • Introduction to Computer Science and Programming: University of London
  • The Data Scientist’s Toolbox: Johns Hopkins University
  • Optimize AI: Fine-Tune & Maximize Accuracy: Coursera
  • Computational Neuroscience: University of Washington
  • Álgebra básica: Universidad Nacional Autónoma de México
  • Foundations of Data Science: K-Means Clustering in Python: University of London

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