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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


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    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    63K reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    732 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Illinois Urbana-Champaign

    Managerial Economics and Business Analysis

    Skills you'll gain: Statistical Inference, Business Analytics, Supply And Demand, Descriptive Statistics, Sampling (Statistics), Market Dynamics, Statistical Hypothesis Testing, Financial Systems, Statistics, Bank Regulations, Financial Policy, Banking, International Finance, Data-Driven Decision-Making, Data Analysis, Data Presentation, Statistical Analysis, Economics, Peer Review, Analytics

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    4.3K reviews

    Beginner · Specialization · 3 - 6 Months

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    Universitat Politècnica de València

    Basic Math: Algebra

    Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics, Arithmetic

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Hypothesis Testing, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Program Evaluation

    3.4
    Rating, 3.4 out of 5 stars
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    101 reviews

    Advanced · Course · 1 - 3 Months

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    Packt

    Mathematical Foundations and Quantum Mechanics Essentials

    Skills you'll gain: Probability, Linear Algebra, Probability & Statistics, Statistics, Mathematical Theory & Analysis, Computational Logic, Applied Mathematics, Advanced Mathematics, Computer Science, Algebra, Physics

    4.4
    Rating, 4.4 out of 5 stars
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    57 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    NumPy & Pandas: Analyze & Transform Data

    Skills you'll gain: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Pivot Tables And Charts, Data Cleansing, Data Analysis, Numerical Analysis, Data Structures, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Packt

    Intermediate Python and Practical Skills

    Skills you'll gain: JSON, Package and Software Management, Web Scraping, Application Programming Interface (API), File Management, Python Programming, Authentications, Scripting, Data Processing, Performance Testing, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    University of Houston

    Math behind Moneyball

    Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Performance Analysis, Advanced Analytics, Data-Driven Decision-Making, Analytics, Data Analysis Software, Business Mathematics, Forecasting, Probability

    4.5
    Rating, 4.5 out of 5 stars
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    97 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Access, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Modeling, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.2K reviews

    Intermediate · Specialization · 3 - 6 Months

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    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

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

  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Managerial Economics and Business Analysis: University of Illinois Urbana-Champaign
  • Basic Math: Algebra: Universitat Politècnica de València
  • Causal Inference: Columbia University
  • Mathematical Foundations and Quantum Mechanics Essentials: Packt
  • NumPy & Pandas: Analyze & Transform Data: EDUCBA
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Intermediate Python and Practical Skills: Packt
  • Math behind Moneyball: University of Houston

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