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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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    B

    Birla Institute of Technology & Science, Pilani

    Data Visualisation

    Skills you'll gain: Data Storytelling, Data Visualization, Data Presentation, Dashboard, Interactive Data Visualization, Data Visualization Software, Exploratory Data Analysis, Dashboard Creation, Plotly, Statistical Visualization, Statistical Analysis, Tree Maps, Plot (Graphics), Tableau Software, Matplotlib, Data Analysis, Probability & Statistics, Seaborn, Data-Driven Decision-Making, Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Coursera

    Model Training & Evaluation

    Skills you'll gain: Model Training, Model Optimization, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    Evaluate AI Risks: Adopt Smart Predictions

    Skills you'll gain: Model Evaluation, Risk Modeling, Data-Driven Decision-Making, Predictive Modeling, Data Literacy, Risk Analysis, Strategic Decision-Making, Business Analysis, Performance Analysis, Performance Metric, Applied Machine Learning, Data Synthesis, Technical Communication

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Classification Algorithms, Autoencoders, Predictive Modeling, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    EDUCBA

    Seaborn Python: Visualize & Analyze Data Distributions

    Skills you'll gain: Data Storytelling, Seaborn, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Regression Analysis, Statistical Visualization, Box Plots, Data Analysis, Statistical Reporting, Visualization (Computer Graphics), Data Analysis Software, Design, C and C++, Build Tools

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Hands-On Data Science with PyTorch & Pandas

    Skills you'll gain: Shiny (R Package), PyTorch (Machine Learning Library), Dashboard, Dashboard Creation, Python Programming, Interactive Data Visualization, Data Visualization Software, Pandas (Python Package), Image Analysis, Applied Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Application Development, UI Components, User Interface (UI)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Coursera

    Optimize SEO: Audit, Remediate & Rank

    Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Content Optimization, Keyword Research, Web Analytics, Performance Measurement, Performance Metric, Marketing Effectiveness, Performance Analysis, Content Management Systems, Auditing, Performance Reporting, Data-Driven Marketing, Data-Driven Decision-Making, Web Content Accessibility Guidelines

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Scrimba

    Essential CSS Concepts

    Skills you'll gain: Cascading Style Sheets (CSS), Responsive Web Design, HTML and CSS, UI Components, Hypertext Markup Language (HTML), Typography, Web Design, Maintainability, Debugging, Web Design and Development, Interactive Design, Semantic Web, Color Theory

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Zero-Shot & Few-Shot Learning: Master AI with Minimal Data

    Skills you'll gain: Prompt Engineering, Embeddings, Transfer Learning, Model Training, Machine Learning Methods, Fraud detection, Applied Machine Learning, Supervised Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Model Training, Risk Modeling, Predictive Modeling, Statistical Methods, Predictive Analytics, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning Methods, Machine Learning, Python Programming, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

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    Universitat Politècnica de València

    Fundamentos de comunicaciones ópticas

    Skills you'll gain: Telecommunications, Digital Communications, Communication Systems, Network Planning And Design, Semiconductors, Electronics, Electrical Engineering, Electronic Components, Physics, electromagnetics, Engineering Calculations, Engineering Analysis, Mathematical Modeling, Applied Mathematics

    Intermediate · Course · 1 - 3 Months

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

  • Data Visualisation: Birla Institute of Technology & Science, Pilani
  • Model Training & Evaluation: Coursera
  • Evaluate AI Risks: Adopt Smart Predictions: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Seaborn Python: Visualize & Analyze Data Distributions: EDUCBA
  • Hands-On Data Science with PyTorch & Pandas: Packt
  • Optimize SEO: Audit, Remediate & Rank: Coursera
  • Essential CSS Concepts: Scrimba
  • Zero-Shot & Few-Shot Learning: Master AI with Minimal Data: Coursera
  • Machine Learning with Python: Case Studies: EDUCBA

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