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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


  • C

    Coursera

    COVID19 Data Analysis Using Python

    Skills you'll gain: Data Preprocessing, Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Program Manager

    Skills you'll gain: Program Management, Stakeholder Management, Resource Allocation, Agile Software Development, Agile Methodology, Project Management Life Cycle, Kanban Principles, Change Management, Project Management Office (PMO), Organizational Change, Responsible AI, Organizational Strategy, Agile Project Management, Risk Management, Governance, Cost Management, Earned Value Management, Team Building, Project Management, Leadership

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management

    3.5
    Rating, 3.5 out of 5 stars
    ·
    246 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build & Adapt LLM Models with Confidence

    Skills you'll gain: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Foundations of Public Health Practice

    Skills you'll gain: Public Health, Public Health and Disease Prevention, Health Equity, Health Disparities, Health Promotion, Microbiology, Health Assessment, Sanitation, Program Evaluation, Healthcare Ethics, Epidemiology, Infectious Diseases, Health Policy, Preventative Care, Environment Health And Safety, Behavioral Economics, Health Education, Intelligence Collection and Analysis, Applied Behavior Analysis, Social Determinants Of Health

    4.7
    Rating, 4.7 out of 5 stars
    ·
    685 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    C

    Cleveland Clinic

    Machine Learning in Healthcare: Foundations and Applications

    Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G
    N
    G
    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Fundamentals of GIS

    Skills you'll gain: ArcGIS, GIS Software, Geographic Information Systems, Data Sharing, Spatial Analysis, Metadata Management, Data Quality, Data Visualization, Data Visualization Software, Data Analysis, File Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Python for Data Science

    Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Data Preprocessing, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Cleansing, Data Analysis, Pandas (Python Package), Statistics, Business Analytics, Jupyter, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    98 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Dimensionality Reduction

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

Searches related to applied statistics

applied statistics for data analytics
statistics and applied data analysis
1…404142…228

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

  • COVID19 Data Analysis Using Python: Coursera
  • IBM Program Manager: IBM
  • Reinforcement Learning for Trading Strategies: New York Institute of Finance
  • Fine-Tune & Optimize Generative AI Models: Coursera
  • Build & Adapt LLM Models with Confidence: Coursera
  • Foundations of Public Health Practice: Imperial College London
  • Machine Learning in Healthcare: Foundations and Applications: Cleveland Clinic
  • Machine Learning for Trading: Google Cloud
  • A Crash Course in Data Science: Johns Hopkins University
  • Fundamentals of GIS: University of California, Davis

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