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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: Top AI Program
    Top AI Program
    V

    Vanderbilt University

    ChatGPT: Master Free AI Tools to Supercharge Productivity

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, ChatGPT, Generative AI Agents, Generative AI, LLM Application, AI literacy, OpenAI, OpenAI API, Expense Management, AI Personalization, AI Enablement, Context Engineering, AI powered creativity, Artificial Intelligence, Expense Reports, Communication, Planning, Marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Toronto

    Introduction to Psychology

    Skills you'll gain: Psychology, Clinical Psychology, Mental Health Diseases and Disorders, Sensory Systems Analysis, Psychiatry, Mental Health Therapies, Human Development, Learning Theory, Psychotherapy, Mental Health, Social Sciences, Applied Behavior Analysis, Scientific Methods, Sociology, Neurology, Child Development, Experimentation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.4K reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Data Transformation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, AI literacy, Natural Language Processing, Robotics, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, AI Personalization, Mobile Development, AI powered creativity, Software Design Documents, Software Design, Prompt Engineering Tools, Anthropic Claude, Mobile Development Tools, LLM Application, AI literacy, iOS Development, Machine Learning Software, Software Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Advanced · Specialization · 3 - 6 Months

  • U

    University of Michigan

    Understanding and Visualizing Data with Python

    Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Statistical Visualization, Statistical Programming, Seaborn, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    DeepLearning.AI TensorFlow Developer

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Model Training, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Generative AI, Classification Algorithms, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • G

    Google

    Process Data from Dirty to Clean

    Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Transformation, Data Validation, Analytics, Sample Size Determination, Google Sheets, SQL, Spreadsheet Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19K reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Model Optimization, Predictive Analytics, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Bestseller
    Bestseller
    J

    Johns Hopkins University

    Data Science

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Autoencoders, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • ChatGPT: Master Free AI Tools to Supercharge Productivity: Vanderbilt University
  • Introduction to Psychology: University of Toronto
  • Reinforcement Learning: University of Alberta
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Introduction to Artificial Intelligence (AI): IBM
  • Generative AI for Mobile App Developers: IBM
  • Understanding and Visualizing Data with Python: University of Michigan
  • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
  • Process Data from Dirty to Clean: Google
  • Machine Learning with Python: IBM

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