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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


  • U

    University of Colorado Boulder

    Data Understanding and Visualization

    Skills you'll gain: Matplotlib, Statistical Visualization, Seaborn, Data Visualization, Exploratory Data Analysis, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Storytelling, Pandas (Python Package), Statistical Methods, Data Analysis, Statistics, Statistical Analysis, Data Manipulation, Box Plots, Scatter Plots, Correlation Analysis, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • T

    The University of Edinburgh

    Intellectual Humility: Practice

    Skills you'll gain: Empathy, Critical Thinking, Research, Diversity Awareness, Open Mindset, Emotional Intelligence, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    153 reviews

    Beginner · Course · 1 - 3 Months

  • N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Quantitative Research Methods: Tools for Data Analysis

    Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Research Methodologies, Statistical Methods, R (Software), Research, Data Presentation, Surveys, Data Collection, Research Reports, Data Ethics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • L

    L&T EduTech

    Design of Transmission Line: Modelling and Performance

    Skills you'll gain: Applied Mathematics, Mathematical Modeling, Matlab, High Voltage, Three-Phase, Electrical Engineering, electromagnetics, Simulation and Simulation Software, Electric Power Systems, Electrical Power, Environmental Science, Environmental Engineering, Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    39 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Starweaver

    Fundamentals of Credit Analysis

    Skills you'll gain: Credit Risk, Financial Statement Analysis, Financial Statements, Financial Analysis, Risk Analysis, Analysis, Balance Sheet, Loans, Financial Market, Business Valuation, Corporate Finance, Cash Flows

    4.5
    Rating, 4.5 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    CertNexus

    Solve Business Problems with AI and Machine Learning

    Skills you'll gain: Data Ethics, Responsible AI, Regulatory Compliance, Business Ethics, Compliance Management, AI Enablement, Applied Machine Learning, Project Implementation, AI Product Strategy, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Model Evaluation, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Machine Learning Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    112 reviews

    Intermediate · Course · 1 - 4 Weeks

  • T

    The University of North Carolina at Chapel Hill

    Reasoning Across the Disciplines

    Skills you'll gain: Chemistry, Social Sciences, Legal Research, Case Law, World History, Liberal Arts, Psychology, Case Studies, Research

    4.4
    Rating, 4.4 out of 5 stars
    ·
    72 reviews

    Beginner · Course · 1 - 3 Months

  • M

    Meta

    Mobile Development and JavaScript

    Skills you'll gain: Jest (JavaScript Testing Framework), Mobile Development, Web Development Tools, Unit Testing, Programming Principles, Javascript, React Native, JSON, Computer Programming, Node.JS, Object Oriented Programming (OOP), Software Testing, Functional Design

    4.1
    Rating, 4.1 out of 5 stars
    ·
    134 reviews

    Beginner · Course · 1 - 3 Months

  • 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
    ·
    110 reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

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

  • Data Understanding and Visualization: University of Colorado Boulder
  • Intellectual Humility: Practice: The University of Edinburgh
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Deep Learning for Computer Vision: MathWorks
  • Quantitative Research Methods: Tools for Data Analysis: Coursera
  • Design of Transmission Line: Modelling and Performance: L&T EduTech
  • Fundamentals of Credit Analysis : Starweaver
  • Solve Business Problems with AI and Machine Learning: CertNexus
  • Reasoning Across the Disciplines: The University of North Carolina at Chapel Hill
  • Mobile Development and JavaScript: Meta

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