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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
    D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Quantitative Aptitude Mastery— Exam & Recruitment Prep

    Skills you'll gain: Arithmetic, Logical Reasoning, Quantitative Research, Estimation, Applied Mathematics, Advanced Mathematics, Algebra, Complex Problem Solving, General Mathematics

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Clustering Analysis

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning, Feature Engineering, Data Mining, Model Evaluation, Machine Learning Algorithms, Exploratory Data Analysis, Data Analysis, Anomaly Detection, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

    Coursera

    Basics of Healthcare Data Analytics: Boost Patient Outcomes

    Skills you'll gain: Data Integrity, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Dashboard, Data Storytelling, Health Information Management, Data Cleansing, Health Informatics, Data Governance, Clinical Data Management, Patient Safety, Data Visualization, Data Security, Health Information Management and Medical Records, Data Analysis, Data Validation, Data Transformation, Statistical Analysis, Microsoft Excel, Data-Driven Decision-Making, SQL

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    UBITS

    Herramientas ofimáticas básicas para el trabajo

    Skills you'll gain: Report Writing, Gmail, Microsoft Word, Microsoft Excel, Microsoft Office, Microsoft Outlook, Google Workspace, Data Analysis Expressions (DAX), Excel Formulas, Spreadsheet Software, Productivity Software, Business Reporting, Excel Macros, Data Visualization, Trend Analysis, Corporate Communications, Virtual Teams

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Foundations of Digital Marketing

    Skills you'll gain: Search Engine Marketing, Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Web Analytics, Web Analytics and SEO, Online Advertising, Model Evaluation, Digital Marketing, Apache Hadoop, Data-Driven Decision-Making, Digital Advertising, Return On Investment, A/B Testing, Machine Learning Methods, Advertising, Analytics, Social Media Strategy, Marketing Automation, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Using Sensors With Your Raspberry Pi

    Skills you'll gain: Electronics, Systems Of Measurement, Digital Signal Processing, Data Processing, Data Cleansing, Statistical Methods, NumPy, Real Time Data, Open Source Technology, Mathematical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

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

    Coursera

    Quantitative Finance & Risk Modeling

    Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Reconciliation, Financial Analysis, A/B Testing, Portfolio Risk, Model Evaluation, Data Cleansing, Decision Tree Learning, Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Data Analysis, Risk Analysis, Risk Management, R Programming, Statistical Analysis, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Explainable Machine Learning (XAI): Duke University
  • Quantitative Aptitude Mastery— Exam & Recruitment Prep: Board Infinity
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Clustering Analysis: University of Colorado Boulder
  • Interpretable machine learning applications: Part 3: Coursera
  • Basics of Healthcare Data Analytics: Boost Patient Outcomes: Coursera
  • Herramientas ofimáticas básicas para el trabajo: UBITS
  • Foundations of Digital Marketing: University of Maryland, College Park
  • Using Sensors With Your Raspberry Pi: Johns Hopkins University

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