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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
    U

    University of California, Davis

    Building Basic English Skills A1/A2

    Skills you'll gain: Oral Comprehension, Vocabulary, Grammar, English Language, Language Competency, Literacy, Language Learning, Verbal Communication Skills

    4.8
    Rating, 4.8 out of 5 stars
    ·
    67 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Recommender Systems Capstone

    Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, System Design and Implementation, Solution Design, Model Evaluation, Machine Learning Algorithms, Algorithms, Business Metrics

    4.1
    Rating, 4.1 out of 5 stars
    ·
    29 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership

    Skills you'll gain: Data Ethics, Data Preprocessing, Technical Management, Model Evaluation, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Performance Reporting, Predictive Analytics, Fraud detection, Business Leadership, Strategic Leadership, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    77 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Data Science & Machine Learning Fundamentals

    Skills you'll gain: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Exploratory Data Analysis, Data Preprocessing, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    12 reviews

    Beginner · Course · 1 - 3 Months

  • 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)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    2

    28DIGITAL

    Sustainable Digital Innovation

    Skills you'll gain: Sustainable Business, Corporate Sustainability, Business Transformation, Digital Transformation, Environmental Social And Corporate Governance (ESG), Governance, Innovation, Stakeholder Engagement, Sustainability Reporting, Business Leadership, Business Strategies, Business Modeling, Market Opportunities, Value Propositions

    4.5
    Rating, 4.5 out of 5 stars
    ·
    200 reviews

    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
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Algorithmic Solutions: Design, Problem Solving, Reporting

    Skills you'll gain: Algorithms, Technical Communication, Computational Thinking, Solution Design, Programming Principles, Software Design, Theoretical Computer Science, Data Structures, Problem Management, Mathematical Modeling, Applied Mathematics, Computer Science, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
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    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    How to Create and Explore a Data Set

    Skills you'll gain: Histogram, Data Analysis, Exploratory Data Analysis, Graphing, Data Visualization Software, Data Literacy, Descriptive Statistics, Statistical Software, Statistics, Data Management, Research, Psychology

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Tensorflow, Model Deployment, Google Cloud Platform, Data Quality, Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Scikit Learn (Machine Learning Library), Embeddings, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Big Data, Applied Machine Learning, Data Pipelines, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to applied statistics

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

  • Building Basic English Skills A1/A2: University of California, Davis
  • Recommender Systems Capstone: University of Minnesota
  • Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership: SAS
  • Data Science & Machine Learning Fundamentals: Corporate Finance Institute
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Build and deploy a stroke prediction model using R: Coursera
  • Sustainable Digital Innovation: 28DIGITAL
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Algorithmic Solutions: Design, Problem Solving, Reporting: Coursera
  • How to Create and Explore a Data Set: American Psychological Association

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