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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


  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's Guide to Omic Data

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Laboratory Research, Metadata Management, Science and Research, R Programming, Spatial Data Analysis, Scientific Methods, Data Collection, Data Quality, Research, Quantitative Research, Informatics, Biology, Laboratory Techniques, Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    AI Agents in Healthcare and Capstone

    Skills you'll gain: Responsible AI, Agentic systems, Data Ethics, Agentic Workflows, AI Enablement, Artificial Intelligence, Healthcare Ethics, AI Workflows, AI Security, AI Orchestration, Applied Machine Learning, Health Technology, AI Personalization, Health Systems, Solution Design, Predictive Modeling, Predictive Analytics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Analysis in Python

    Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Statistical Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Correlation Analysis, Python Programming, Programming Principles, Computer Programming, Computational Logic

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    I

    INSEAD

    Blockchain Applications in Fintech

    Skills you'll gain: Blockchain, FinTech, Digital Assets, Financial Services, Payment Systems, Financial Regulation, International Finance, Emerging Technologies, Asset Management, Artificial Intelligence, Regulation and Legal Compliance, Insurance

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Marketing en redes sociales desde cero

    Skills you'll gain: Social Media Marketing, Social Media, Social Media Strategy, Target Audience, Digital Marketing, Performance Analysis, Content Creation, Marketing, Marketing Strategies, Campaign Management, Customer Engagement, Instagram, Performance Metric, Brand Management, Facebook, Trend Analysis, LinkedIn, Business Metrics, Crisis Management

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to PMP and Agile Methodologies

    Skills you'll gain: Project Documentation, Agile Methodology, Agile Project Management, Project Management, Project Management Life Cycle, Project Planning, Project Management Institute (PMI) Methodology, Sprint Planning, Backlogs, Stakeholder Management, Team Oriented, Communication

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of the Arts London

    Introduction to Creative AI

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Creativity, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Generative AI, Artificial Neural Networks, Responsible AI, Creative Problem-Solving, Creative Design, Machine Learning Methods, Data Ethics, Deep Learning, Critical Thinking

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Mastering Data Analysis with Pandas: Learning Path Part 5

    Skills you'll gain: Pandas (Python Package), Data Visualization, Data Manipulation, Data Cleansing, Matplotlib, Text Mining, Exploratory Data Analysis, Data Analysis, Data Preprocessing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Geographical Information Systems - Part 2

    Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Sampling (Statistics)

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    Y

    Yale University

    Цифровые медиа в сфере здравоохранения

    Skills you'll gain: Social Impact, Health Promotion, Driving engagement, Program Evaluation, Applied Behavior Analysis, Survey Creation, Digital Communications, Public Health, Instagram, Facebook, Data Collection, Budget Management

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Python for Data Science (and Version Control with GitHub)

    Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Version Control, Statistical Analysis, Data Science, Python Programming, NumPy, Data Analysis, Jupyter, Programming Principles, Data Cleansing, Exploratory Data Analysis, Scripting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

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

  • Researcher's Guide to Omic Data: Fred Hutchinson Cancer Center
  • AI Agents in Healthcare and Capstone: University of Colorado System
  • Data Analysis in Python: Codio
  • Blockchain Applications in Fintech: INSEAD
  • Marketing en redes sociales desde cero: Universidad Nacional Autónoma de México
  • Introduction to PMP and Agile Methodologies: Packt
  • Introduction to Creative AI: University of the Arts London
  • Mastering Data Analysis with Pandas: Learning Path Part 5: Coursera
  • Geographical Information Systems - Part 2: École Polytechnique Fédérale de Lausanne
  • Deep Learning with Real-World Projects: Packt

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