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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
    S

    Splunk Inc.

    Splunk Search Expert 103

    Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Big Data, Transaction Processing, Data Science, Business Analytics, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Agile Project Management

    Skills you'll gain: Agile Project Management, Scrum (Software Development), Sprint Planning, Emotional Intelligence, Backlogs, Scaled Agile Framework, Negotiation, Sprint Retrospectives, Agile Software Development, Program Management, Brainstorming, Prioritization, User Story, Creative Thinking, Innovation, Project Portfolio Management, Leadership, Organizational Leadership, Problem Solving, Project Controls

    4.3
    Rating, 4.3 out of 5 stars
    ·
    36 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Tidyverse Skills for Data Science in R

    Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Regression Analysis, Web Scraping, Data Science, R (Software), Data Analysis Software

    4.5
    Rating, 4.5 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Measurement – Turning Concepts into Data

    Skills you'll gain: Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Research Design, Model Evaluation, Data Transformation, Statistical Analysis, Data Modeling, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    82 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Physics of Geometrical and Physical Optics

    Skills you'll gain: Physics, Applied Mathematics, Geometry, Engineering Analysis, Advanced Mathematics, Physical Science, Mathematical Modeling, Trigonometry, Calculus, Algebra, Mathematical Theory & Analysis, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Ethical Issues in Data Science

    Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Responsible AI, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Case Studies

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    49 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    Machine Learning in Retail

    Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Mining Quality Prediction Using Machine & Deep Learning

    Skills you'll gain: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    69 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    The STATA OMNIBUS: Regression and Modelling with STATA

    Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Data Visualization, Data Manipulation, Logistic Regression, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning and Human Learning

    Skills you'll gain: Education Software and Technology, Supervised Learning, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Digital pedagogy, Artificial Intelligence, AI Enablement, Data Mining, Learning Theory, Human Computer Interaction, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Prediction Models with Sports Data

    Skills you'll gain: Logistic Regression, Forecasting, Data Processing, Predictive Modeling, Statistical Modeling, Data Analysis, Analytics, Regression Analysis, Pandas (Python Package), Model Evaluation, Python Programming, Probability, Ethical Standards And Conduct

    4.5
    Rating, 4.5 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Radio y Televisión Española

    Competencias y habilidades esenciales en el entorno digital

    Skills you'll gain: Social Media Content, Social Media Strategy, Live Streaming, Photo/Video Production and Technology, Social Media Management, Video Production, Content Strategy, Web Content, Media and Communications, Content Creation, Journalism, digital literacy, Mobile Development Tools, Research, Digital Communications, Investigation, Social Network Analysis, Trend Analysis, Verification And Validation, Open Source Technology

    4.9
    Rating, 4.9 out of 5 stars
    ·
    79 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Splunk Search Expert 103: Splunk Inc.
  • Agile Project Management: University of Maryland, College Park
  • Tidyverse Skills for Data Science in R: Johns Hopkins University
  • Measurement – Turning Concepts into Data: Johns Hopkins University
  • Physics of Geometrical and Physical Optics: Rice University
  • Ethical Issues in Data Science: University of Colorado Boulder
  • Machine Learning in Retail: Coursera
  • Mining Quality Prediction Using Machine & Deep Learning: Coursera
  • The STATA OMNIBUS: Regression and Modelling with STATA: Packt
  • Machine Learning and Human Learning: University of Illinois Urbana-Champaign

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