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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
    Free Trial
    J

    Johns Hopkins University

    Precalculus: Mathematical Modeling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    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
    ·
    341 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    103 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Mining, Predictive Modeling, Machine Learning, Technical Communication, Scikit Learn (Machine Learning Library), Regression Analysis, Artificial Neural Networks, Deep Learning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    196 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: Model Deployment, iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    655 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    B

    Birla Institute of Technology & Science, Pilani

    Basic Electronics

    Skills you'll gain: Electronic Systems, Semiconductors, Basic Electrical Systems, Electrical Engineering, Electronics, Electronic Components, Electronics Engineering, Power Electronics, Electrical Systems, Engineering Analysis, Network Analysis, Engineering Calculations, Control Systems, Applied Mathematics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Project Scheduling: Estimate Activity Durations

    Skills you'll gain: Project Estimation, Project Schedules, Work Breakdown Structure, Estimation, Scheduling, Timelines, Project Planning, Project Management, Probability & Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    200 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Nearest Neighbor Collaborative Filtering

    Skills you'll gain: AI Personalization, Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Data Mining, Algorithms, Collaborative Software, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    308 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    D

    DeepLearning.AI

    PyTorch for Deep Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Applied Machine Learning, Model Evaluation, Software Visualization, Computer Vision, Data Preprocessing, Natural Language Processing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    82 reviews

    Intermediate · Professional Certificate · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    B

    Birla Institute of Technology & Science, Pilani

    Introduction to Bioinformatics

    Skills you'll gain: Bioinformatics, Biotechnology, Data Management, Biostatistics, Data Mining, Applied Machine Learning, Unsupervised Learning, R Programming, Scientific Visualization, Data Preprocessing, Correlation Analysis, Chemical and Biomedical Engineering, Dimensionality Reduction, Computational Thinking, Markov Model, Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    96 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Precalculus: Mathematical Modeling: Johns Hopkins University
  • Fundamentals of Machine Learning in Finance: New York University
  • SAS Machine Learning Engineer: SAS
  • Machine Learning Capstone: IBM
  • Device-based Models with TensorFlow Lite: DeepLearning.AI
  • Basic Electronics: Birla Institute of Technology & Science, Pilani
  • Project Scheduling: Estimate Activity Durations: Coursera
  • Nearest Neighbor Collaborative Filtering: University of Minnesota
  • PyTorch for Deep Learning: DeepLearning.AI
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University

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