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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

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Machine Learning, Statistical Modeling, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.3
    Rating, 3.3 out of 5 stars
    ·
    104 reviews

    Advanced · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Fundamentos de estadística aplicada

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Statistics, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    144 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of California San Diego

    Machine Learning With Big Data

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Apache Spark, Classification Algorithms, Big Data, Regression Analysis, Data Mining, Applied Machine Learning, Data Preprocessing, Statistical Analysis, Machine Learning, Data Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of North Texas

    Research Design: Inquiry and Discovery

    Skills you'll gain: Research Design, Research, Research Methodologies, Surveys, Qualitative Research, Scientific Methods, Business Research, Research Reports, Data Collection, Sample Size Determination, Analysis, Ethical Standards And Conduct, Decision Making, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    459 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    Calculus: Single Variable Part 2 - Differentiation

    Skills you'll gain: Calculus, Applied Mathematics, Derivatives, Engineering Calculations, Advanced Mathematics, Estimation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Alberta

    Software Processes and Agile Practices

    Skills you'll gain: Agile Methodology, Kanban Principles, Agile Software Development, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Engineering, Process Driven Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • A

    Arizona State University

    Experimental Design Basics

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Hypothesis Testing, Design Strategies, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Quality Control, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    311 reviews

    Intermediate · Course · 1 - 3 Months

  • É

    École Polytechnique Fédérale de Lausanne

    Interest Rate Models

    Skills you'll gain: Derivatives, Financial Market, Risk Management, Investments, Financial Modeling, Market Data, Portfolio Management, Mathematical Modeling, Finance, Probability, Statistical Modeling, Estimation, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    196 reviews

    Advanced · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Functions & Applications

    Skills you'll gain: Mathematical Modeling, Graphing, Algebra, General Mathematics, Applied Mathematics, Arithmetic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    195 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    248 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    Go Beyond the Numbers: Translate Data into Insights

    Skills you'll gain: Data Storytelling, Data Visualization, Exploratory Data Analysis, Data Visualization Software, Data Ethics, Tableau Software, Data Analysis, Data Cleansing, Data Manipulation, Data Transformation, Data Preprocessing, Pandas (Python Package), Technical Communication, Data Quality, Data Validation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    898 reviews

    Advanced · Course · 1 - 3 Months

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1…899091…271

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

  • Causal Inference: Columbia University
  • Fundamentos de estadística aplicada: Universidad de los Andes
  • Machine Learning With Big Data: University of California San Diego
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Research Design: Inquiry and Discovery: University of North Texas
  • Calculus: Single Variable Part 2 - Differentiation: University of Pennsylvania
  • Software Processes and Agile Practices: University of Alberta
  • Experimental Design Basics: Arizona State University
  • Interest Rate Models: École Polytechnique Fédérale de Lausanne
  • Algebra: Elementary to Advanced - Functions & Applications: Johns Hopkins University

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