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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
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Finance and Data Analysis Fundamentals

    Skills you'll gain: Capital Budgeting, Financial Statements, Cash Flows, Probability & Statistics, Accounting, Bookkeeping, Finance, Financial Statement Analysis, Microsoft Excel, Descriptive Statistics, Box Plots, Fiscal Management, Statistical Methods, Probability Distribution, Financial Accounting, Income Statement, Statistical Visualization, Data Visualization, Financial Analysis, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    2

    28DIGITAL

    Problem-Dependent Resampling Techniques

    Skills you'll gain: Spatial Analysis, Spatial Data Analysis, Model Evaluation, Statistical Methods, Statistical Hypothesis Testing, Sampling (Statistics), Feature Engineering, Dependency Analysis, Drug Interaction, Analysis, Sample Size Determination, Analytics, Applied Machine Learning, Correlation Analysis, Data Synthesis, Machine Learning, Analytical Skills, Data Processing, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Model Training, Applied Machine Learning, Artificial Intelligence, Data Preprocessing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Human Resource Management: HR for People Managers

    Skills you'll gain: Performance Management, Performance Appraisal, Performance Review, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Workforce Planning, Human Resource Strategy, Human Resources, Employee Performance Management, Employee Onboarding, Human Resources Management and Planning, Recruitment, Recruitment Strategies, Human Capital, Talent Acquisition, Management Training And Development, Human Resource Policies, Performance Measurement

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, General Networking, Javascript, Network Security, Computer Networking, Application Security, Computational Thinking, Visualization (Computer Graphics), Program Development, Applied Mathematics, Computer Programming, General Mathematics, Numerical Analysis, Problem Solving

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.6K reviews

    Beginner · Specialization · 1 - 3 Months

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

    Coursera

    YouTube Content Creator Pro

    Skills you'll gain: Storytelling, Content Performance Analysis, Storyboarding, Video Production, Photo/Video Production and Technology, Content Scheduling, Benchmarking, Content Optimization, Search Engine Optimization, Videography, Web Analytics, Video Editing, Drive Engagement, Content Strategy, Live Streaming, Marketing Analytics, Web Analytics and SEO, Content Development and Management, Style Guides, Marketing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Linear Regression and Modeling

    Skills you'll gain: Regression Analysis, R (Software), Statistical Programming, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Model Evaluation, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics, Statistical Hypothesis Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with Python

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Predictive Modeling, Data Cleansing, Data Preprocessing, Model Evaluation, Data Processing, Data Science, Predictive Analytics, Model Training, Analytics, Model Optimization, Pandas (Python Package), Statistical Modeling, Data Visualization, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Network Routing, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Epidemiology in Public Health Practice

    Skills you'll gain: Epidemiology, Public Health, Public Health and Disease Prevention, Trend Analysis, Infection Control, Geographic Information Systems, Statistical Visualization, Health Policy, Data Visualization Software, Chronic Diseases, GIS Software, Geospatial Information and Technology, Infectious Diseases, Datamaps, Health Informatics, Risk Analysis, Investigation, Geospatial Mapping, Health Assessment, Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Software Engineering

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Full-Stack Web Development, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Web Language, Back-End Web Development, Software Documentation, Computer Programming, Python Programming

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

    Beginner · Course · 1 - 3 Months

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

  • IBM Introduction to Machine Learning: IBM
  • Business Finance and Data Analysis Fundamentals: Rice University
  • Problem-Dependent Resampling Techniques: 28DIGITAL
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • Human Resource Management: HR for People Managers: University of Minnesota
  • Introduction to Computer Science and Programming: University of London
  • YouTube Content Creator Pro: Coursera
  • Linear Regression and Modeling : Duke University
  • Data Analysis with Python: IBM
  • Algorithms: Stanford University

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