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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.


More to explore:

Popular Applied Statistics Courses and Certifications


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    P

    Peking University

    离散数学概论 Discrete Mathematics Generality

    Skills you'll gain: Computational Logic, Theoretical Computer Science, Graph Theory, Network Analysis, Logical Reasoning, Network Model, Combinatorics, Deductive Reasoning, Geospatial Information and Technology, Computational Thinking, General Mathematics, Algebra, Programming Principles, Mathematics and Mathematical Modeling, Spatial Analysis, Informatics, Arithmetic, Computer Science, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    281 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Illinois Urbana-Champaign

    Machine Learning for Accounting with Python

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Data Preprocessing, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Classification Algorithms, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Supervised Learning, Predictive Modeling, Python Programming, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Data Manipulation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    43 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    E

    Edureka

    Predictive Modeling with Python

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Statistical Methods, Data Analysis, Applied Machine Learning, Business Analytics, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Big Data, Python Programming, Data Manipulation, Pandas (Python Package), NumPy

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Artificial Intelligence with Python: Foundations to Projects

    Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    9 reviews

    Beginner · Specialization · 1 - 3 Months

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    O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Introduction to Market Research

    Skills you'll gain: Market Research, Analytical Skills, Data Collection, Data-Driven Decision-Making, Market Analysis, Marketing, Business Research, Quantitative Research, Data Analysis, Customer Insights, Market Trend, Consumer Behaviour, Trend Analysis, Competitive Analysis, Strategic Decision-Making

    4.6
    Rating, 4.6 out of 5 stars
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    45 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    K

    Koç University

    Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

    Skills you'll gain: Linear Algebra, Differential Equations, Advanced Mathematics, Algebra, Applied Mathematics, Mathematical Theory & Analysis, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    27 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of New Mexico

    Desarrollo de Aplicaciones Web: Conceptos Básicos

    Skills you'll gain: Middleware, Web Applications, Agile Software Development, Application Frameworks, Ruby on Rails, User Interface (UI), Software Development, Web Design, Data Modeling, Ajax, Software Architecture, Full-Stack Web Development, Model View Controller, Git (Version Control System), Software Development Tools, Relational Databases, Software Design Patterns, Javascript, Network Protocols

    4.3
    Rating, 4.3 out of 5 stars
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    143 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, AI Enablement, Applied Machine Learning, Exploratory Data Analysis, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Get Started with Mail and Calendar Applications: Outlook

    Skills you'll gain: Email Security, Microsoft Outlook, Calendar Management, Gmail, Setting Appointments, Organizational Skills, Microsoft Office, Google Workspace, Scheduling, Computer Literacy, Productivity Software

    4.7
    Rating, 4.7 out of 5 stars
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    78 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • 离散数学概论 Discrete Mathematics Generality: Peking University
  • Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign
  • Predictive Modeling with Python : Edureka
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Artificial Intelligence with Python: Foundations to Projects: EDUCBA
  • Machine Learning: O.P. Jindal Global University
  • Introduction to Market Research: Coursera
  • Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
  • Desarrollo de Aplicaciones Web: Conceptos Básicos: University of New Mexico
  • GenAI for Data Scientists: Coursera

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