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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
    E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    H

    Harvard Business Review

    Act Strategically

    Skills you'll gain: Critical Thinking, Plan Execution, Business Strategy, Strategic Decision-Making, Trend Analysis, Strategic Prioritization, Market Trend, Forecasting, Value Propositions, Innovation, Competitive Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Capstone Project: Predicting Safety Stock

    Skills you'll gain: Model Evaluation, Time Series Analysis and Forecasting, Feature Engineering, Inventory Management System, Demand Planning, Matplotlib, Inventory Control, Predictive Modeling, Forecasting, Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Product Knowledge, Statistical Modeling, Data Manipulation, Machine Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to RNN and DNN

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Nonlinear Kalman Filters (and Parameter Estimation)

    Skills you'll gain: Estimation, Applied Mathematics, Numerical Analysis, Mathematical Modeling, Control Systems, Mathematical Software, Simulation and Simulation Software, Model Evaluation, Derivatives, Calculus, Computer Programming Tools

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    GIS Mastery: Spatial Data, Remote Sensing, Decision Support

    Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Spatial Analysis, Global Positioning Systems, Data Analysis, Metadata Management, Decision Support Systems

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    RStudio for Six Sigma - Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Logistic Regression, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Programming, Statistical Analysis, Statistical Methods, Regression Analysis, Probability & Statistics, Data Literacy, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Predict Baby Weight with TensorFlow on AI Platform

    Skills you'll gain: Model Deployment, Tensorflow, Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Data Processing, Machine Learning, Supervised Learning, Data Science

    4.3
    Rating, 4.3 out of 5 stars
    ·
    8 reviews

    Advanced · Project · Less Than 2 Hours

  • P

    Packt

    The Simplest Guideâ„¢ to Clinical Data Analysis with SAS

    Skills you'll gain: Clinical Trials, Clinical Data Management, Clinical Research, Case Report Forms, SAS (Software), Statistical Reporting, Pharmaceuticals, Data Analysis, Statistical Analysis, Informed Consent, Data Manipulation, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

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

  • Machine Learning with PySpark: Edureka
  • Act Strategically: Harvard Business Review
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Capstone Project: Predicting Safety Stock : LearnQuest
  • Introduction to RNN and DNN: Packt
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Nonlinear Kalman Filters (and Parameter Estimation): University of Colorado System
  • GIS Mastery: Spatial Data, Remote Sensing, Decision Support: Coursera
  • Interpretable machine learning applications: Part 5: Coursera
  • RStudio for Six Sigma - Hypothesis Testing: Coursera

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