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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


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Visualizing Data in the Tidyverse

    Skills you'll gain: Ggplot2, Plot (Graphics), Data Visualization Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Scatter Plots, Tidyverse (R Package), R Programming, Box Plots, Histogram, Animations, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    GIS Mastery: Spatial Data, Remote Sensing, Decision Support

    Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Spatial Analysis, Global Positioning Systems, Data Analysis, Metadata Management, Decision Support Systems

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    What is Technology Entrepreneurship and Innovation?

    Skills you'll gain: Entrepreneurship, Commercialization, Design Thinking, Innovation, Presentations, Market Opportunities, Ideation, Product Development, Solution Design, Customer Insights

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Classification Algorithms, Model Evaluation, Machine Learning, Python Programming, Prototyping

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Exploratory vs Confirmatory data analysis using Python

    Skills you'll gain: Exploratory Data Analysis, Tree Maps, Geographic Information Systems, Plotly, Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Pandas (Python Package)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Vector Database Projects: AI Recommendation Systems

    Skills you'll gain: Vector Databases, AI Personalization, Embeddings, Hugging Face, Artificial Intelligence, Applied Machine Learning, Databases, MongoDB, Natural Language Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Planification des mobilités

    Skills you'll gain: Community Development, Policy Development, Strategic Prioritization, Forecasting, Economic Development, Spatial Analysis, Policy Analysis, Needs Assessment, Trend Analysis, Stakeholder Engagement, Sociology, Environmental Issue, Qualitative Research

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Practical AI for Professionals

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, Data Management, Data Preprocessing, Computer Vision, Unstructured Data, Predictive Modeling, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    The Simplest Guideâ„¢ to Clinical Data Analysis with SAS

    Skills you'll gain: Clinical Trials, Clinical Data Management, Clinical Research, Case Report Forms, SAS (Software), Statistical Reporting, Pharmaceuticals, Data Analysis, Statistical Analysis, Informed Consent, Data Manipulation, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

1…182183184…259

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

  • Visualizing Data in the Tidyverse: Johns Hopkins University
  • GIS Mastery: Spatial Data, Remote Sensing, Decision Support: Coursera
  • What is Technology Entrepreneurship and Innovation?: Arizona State University
  • PySpark Foundations: Process, analyze, and summarize data: Coursera
  • Auto Machine Learning (AutoML) Using AutoGluon : Coursera
  • Exploratory vs Confirmatory data analysis using Python: Coursera
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Vector Database Projects: AI Recommendation Systems: IBM
  • Planification des mobilités: École Polytechnique Fédérale de Lausanne
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University

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