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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


  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Italiano

    Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Model Deployment, AI Workflows, Artificial Intelligence, Applied Machine Learning, Machine Learning, Model Evaluation, Feature Engineering, Natural Language Processing, Supervised Learning

    Beginner · Course · 1 - 3 Months

  • U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming

    Mixed · Course · 1 - 3 Months

  • N

    National Taiwan University

    初級會計學三:股東權益與現金流量 (Financial Accounting 103)

    Skills you'll gain: Financial Statement Analysis, Cash Flows, Financial Accounting, Financial Statements, Financial Reporting, Equities, Balance Sheet, Investments, Trend Analysis, Consolidation

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Project Management Best Practices using Agile and Scrum

    Skills you'll gain: Sprint Retrospectives, Agile Methodology, Agile Project Management, Change Management, Agile Software Development, Organizational Change, Team Management, Team Building, Leadership Studies, Sprint Planning, Project Management Software, Continuous Improvement Process, Communication

    Intermediate · Course · 3 - 6 Months

  • E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • E

    EDUCBA

    Agile and Scrum Mastery: Fundamentals to Advanced Leadership

    Skills you'll gain: Agile Project Management, Stakeholder Engagement, Scrum (Software Development), Agile Methodology, Stakeholder Management, Team Motivation, Agile Software Development, Team Leadership, Sprint Retrospectives, Kanban Principles, Team Building, Sprint Planning, Risk Analysis, Agile Product Development, Continuous Integration, Earned Value Management, Team Management, Backlogs, Continuous Improvement Process, Lean Methodologies

    4.3
    Rating, 4.3 out of 5 stars
    ·
    15 reviews

    Beginner · Specialization · 3 - 6 Months

  • W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • B

    Banco Interamericano de Desarrollo

    Data for Effective Policy Making

    Skills you'll gain: Data Ethics, Policy Development, Data-Driven Decision-Making, Data Analysis, Data Collection, Policy Analysis, Data Quality, Surveys, Program Evaluation, Research, Statistical Analysis, Research Design

    Beginner · Course · 1 - 3 Months

  • C

    Corporate Finance Institute

    Data Prep for Machine Learning in Python

    Skills you'll gain: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Manipulation, Data Visualization, Data Transformation, Pandas (Python Package), Box Plots, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning in the Enterprise - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Management, Google Cloud Platform, Data Governance, Workflow Management, AI Workflows, Enterprise Modeling, Model Evaluation, Applied Machine Learning, Data Pipelines, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • P

    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

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

  • Introduction to AI and Machine Learning on GC - Italiano: Google Cloud
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • 初級會計學三:股東權益與現金流量 (Financial Accounting 103): National Taiwan University
  • Project Management Best Practices using Agile and Scrum: Packt
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • Agile and Scrum Mastery: Fundamentals to Advanced Leadership: EDUCBA
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • Data for Effective Policy Making: Banco Interamericano de Desarrollo
  • Data Prep for Machine Learning in Python: Corporate Finance Institute

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