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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


  • J

    Johns Hopkins University

    Hypothesis Testing in Public Health

    Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    656 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Improve Data Quality and Automate Errors

    Skills you'll gain: Data Quality, Data Management, Quality Assurance, Stored Procedure, Data Cleansing, Data Integrity, Quality Improvement, Quality Assessment, Data Validation, Data Pipelines, Key Performance Indicators (KPIs), SQL, Data Processing, Extract, Transform, Load, Performance Analysis, Anomaly Detection, Continuous Monitoring, Automation, Root Cause Analysis, Trend Analysis

    Advanced · Course · 1 - 4 Weeks

  • P

    Pragmatic AI Labs

    Next-Gen AI Development with Hugging Face

    Skills you'll gain: Prompt Engineering, Hugging Face, Model Deployment, MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Transfer Learning, Data Processing, Data Preprocessing, Image Analysis, Large Language Modeling, Rust (Programming Language), Natural Language Processing, Generative AI, AI Orchestration, Data Validation, Cloud Deployment

    Beginner · Specialization · 3 - 6 Months

  • G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    610 reviews

    Advanced · Course · 1 - 3 Months

  • L

    Logical Operations

    Introduction to Agile and Scrum Methodologies

    Skills you'll gain: Agile Methodology, Scrum (Software Development), Agile Project Management, Sprint Retrospectives, Agile Software Development, Sprint Planning, User Story, Backlogs, Agile Product Development, Project Estimation, Project Management, Estimation, Project Planning

    Mixed · Course · 1 - 3 Months

  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • T

    The Hong Kong University of Science and Technology

    Information Systems Auditing, Controls and Assurance

    Skills you'll gain: Continuous Monitoring, Risk Management, FinTech, Change Management, Emerging Technologies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Build Serverless Automation with AWS Lambda

    Skills you'll gain: API Design, Cloud Solutions, Network Troubleshooting, Server Side, Cloud Deployment, Back-End Web Development, Data Pipelines

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    User Experience Research and Design

    Skills you'll gain: UI/UX Research, Surveys, Qualitative Research, Usability Testing, User Experience Design, User Research, User Experience, User Story, Prototyping, Wireframing, User Centered Design, Survey Creation, Sampling (Statistics), Design Research, Interaction Design, Ideation, A/B Testing, Conceptual Design, Web Analytics, Usability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Analyze Fatal Drug Overdose Data Using Tableau

    Skills you'll gain: Data Storytelling, Feature Engineering, Data Ethics, Data Visualization, Exploratory Data Analysis, Tableau Software, Data-Driven Decision-Making, Data Visualization Software, Data Analysis, Analytical Skills, Data Cleansing, Statistical Methods, Data Preprocessing, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Mindware: Critical Thinking for the Information Age

    Skills you'll gain: Data Analysis, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Statistical Inference, Probability, Correlation Analysis, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

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1…444546…272

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

  • Hypothesis Testing in Public Health : Johns Hopkins University
  • Improve Data Quality and Automate Errors: Coursera
  • Next-Gen AI Development with Hugging Face: Pragmatic AI Labs
  • The Nuts and Bolts of Machine Learning: Google
  • Introduction to Agile and Scrum Methodologies: Logical Operations
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Information Systems Auditing, Controls and Assurance: The Hong Kong University of Science and Technology
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Build Serverless Automation with AWS Lambda: EDUCBA
  • User Experience Research and Design: University of Michigan

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