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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: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Getting Started with CyberGIS

    Skills you'll gain: Geospatial Information and Technology, Geographic Information Systems, Apache Hadoop, Spatial Data Analysis, Geospatial Mapping, Spatial Analysis, Big Data, Matplotlib, Data Processing, Computational Thinking, Distributed Computing, Data Manipulation, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)

    Skills you'll gain: Model Evaluation, SPSS, Statistical Modeling, Statistical Analysis, Regression Analysis, Social Sciences, Correlation Analysis, SAS (Software), Exploratory Data Analysis, Data Analysis Software, Data Manipulation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Processing and Manipulation

    Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Preprocessing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Systems Architecture  

    Skills you'll gain: Software Architecture, Systems Development Life Cycle, Systems Architecture, Systems Thinking, Software Design Patterns, Stakeholder Communications, Systems Analysis, Data Flow Diagrams (DFDs), Application Design

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Machine Learning for Marketing

    Skills you'll gain: Marketing Analytics, Anomaly Detection, Digital Marketing, Web Analytics, Digital Advertising, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Search Engine Marketing, Supervised Learning, Online Advertising, Customer Retention, Text Mining, Predictive Analytics, Search Engine Optimization, Web Analytics and SEO, Google Ads, Customer Insights, Google Analytics, Data Ethics

    3.7
    Rating, 3.7 out of 5 stars
    ·
    18 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    The DMAIC Framework: Analyze, Improve, and Control Phase

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Hypothesis Testing, Statistical Analysis, Continuous Improvement Process, Data Analysis, Process Improvement, Quality Improvement, Root Cause Analysis, Data-Driven Decision-Making, Regression Analysis, Process Optimization, Correlation Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    D

    Duke University

    R을 사용한 확률 및 데이터 소개

    Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Inference

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Spatial Data Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Create a services customer satisfaction process

    Skills you'll gain: Customer Service, Customer experience strategy (CX), Customer Analysis, Process Mapping, Customer Insights, Process Design, Customer Support, Cross-Channel Marketing, Marketing Operations, Business Process, Web Analytics, Marketing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Style Tables with CSS

    Skills you'll gain: Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), Responsive Web Design, Browser Compatibility, Web Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    42 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    Edureka

    AI Applications: Computer Vision and Speech Recognition

    Skills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Chatbots

    Skills you'll gain: Amazon Web Services, Tensorflow, Applied Machine Learning, Machine Learning Methods, Natural Language Processing, Classification Algorithms, Software Design, Application Development, Supervised Learning, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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

  • Getting Started with CyberGIS: University of Illinois Urbana-Champaign
  • Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语): The Chinese University of Hong Kong
  • Data Processing and Manipulation: University of Colorado Boulder
  • Introduction to Systems Architecture  : IBM
  • Machine Learning for Marketing: O.P. Jindal Global University
  • The DMAIC Framework: Analyze, Improve, and Control Phase: SkillUp
  • R을 사용한 확률 및 데이터 소개: Duke University
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Create a services customer satisfaction process: Coursera
  • Style Tables with CSS: Coursera

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