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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


  • J

    Johns Hopkins University

    Quantifying Relationships with Regression Models

    Skills you'll gain: Regression Analysis, Logistic Regression, Correlation Analysis, Statistical Inference, Model Evaluation, Statistical Modeling, Statistical Analysis, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Python for Data Science: Real Projects & Analytics

    Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side

    4.5
    Rating, 4.5 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    الشبكات العصبية والتعلم العميق

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Convolutional Neural Networks, Machine Learning Methods, Applied Machine Learning, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Managing AI Projects That Ship and Scale

    Skills you'll gain: Milestones (Project Management), Acceptance Testing, CI/CD, Scope Management, MLOps (Machine Learning Operations), Feature Engineering, Governance Risk Management and Compliance, Capacity Management, Responsible AI, Smart Goals, Project Risk Management, Compliance Management, Stakeholder Communications, Data Governance, Risk Analysis, Model Evaluation, Applied Machine Learning, Project Planning, Risk Management, Mitigation

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    PyCaret: Anatomy of Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • A

    Arizona State University

    What is Technology Entrepreneurship and Innovation?

    Skills you'll gain: Entrepreneurship, Commercialization, Design Thinking, Innovation, Presentations, Market Opportunities, Ideation, Product Development, Solution Design, Customer Insights

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59 reviews

    Beginner · Course · 1 - 3 Months

  • M

    Microsoft

    Scenario and Root Cause Analysis with Generative AI

    Skills you'll gain: Responsible AI, Risk Analysis, Risk Management, Generative AI, Root Cause Analysis, Data-Driven Decision-Making, Analysis, Strategic Decision-Making, Trend Analysis, Scenario Testing, Strategic Thinking, Data Ethics, Strategic Planning, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Applied Machine Learning, Keras (Neural Network Library), Data Store, Data Transformation, Data Modeling, Machine Learning, Classification Algorithms, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Corporate Finance Institute

    Advanced Tableau

    Skills you'll gain: Star Schema, Data Modeling, Tableau Software, Interactive Data Visualization, Business Intelligence, Extract, Transform, Load, Dashboard, Performance Tuning, Technical Analysis, Database Design, Data Visualization Software, Data Warehousing, Market Data, Data Transformation, Data Presentation, Investment Banking, Exploratory Data Analysis, Tree Maps, Data Storytelling, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    32 reviews

    Advanced · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • M

    MathWorks

    Practical MATLAB Skills

    Skills you'll gain: Plot (Graphics), Scripting, Matlab, Data Manipulation, Mathematical Modeling, Data Analysis, Data Visualization, Data Visualization Software, Descriptive Statistics, Interactive Data Visualization, Exploratory Data Analysis, Data Mapping, Data Cleansing, File Management, Technical Communication

    Beginner · Course · 1 - 4 Weeks

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

  • Quantifying Relationships with Regression Models: Johns Hopkins University
  • Python for Data Science: Real Projects & Analytics: EDUCBA
  • الشبكات العصبية والتعلم العميق: DeepLearning.AI
  • Managing AI Projects That Ship and Scale: Coursera
  • PyCaret: Anatomy of Regression: Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • What is Technology Entrepreneurship and Innovation?: Arizona State University
  • Scenario and Root Cause Analysis with Generative AI: Microsoft
  • Feature Engineering en Español: Google Cloud
  • Advanced Tableau: Corporate Finance Institute

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