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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
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    734 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Data Science Math Skills

    Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Cybersecurity, Algorithms, Arithmetic, Visualization (Computer Graphics)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Algorithms & Recursion

    Skills you'll gain: Cryptography, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Arithmetic, Computational Thinking, Public Key Cryptography Standards (PKCS), Data Structures, Applied Mathematics, Logical Reasoning, Deductive Reasoning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Matrix Algebra for Engineers

    Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic

    4.9
    Rating, 4.9 out of 5 stars
    ·
    4.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Logic and Critical Thinking

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Analysis, Diagram Design, Probability, Sampling (Statistics), Persuasive Communication, Research, Sample Size Determination, Writing, Case Studies, Oral Expression, Correlation Analysis, Communication, Scientific Methods, Information Architecture, Business Communication, Interactive Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Analyze and Build Trading Systems Using Market Models

    Skills you'll gain: Financial Trading, Financial Market, Technical Analysis, Derivatives, Statistical Analysis, Market Dynamics, Risk Analysis, Market Analysis, Trend Analysis, Performance Analysis, Probability Distribution, Behavioral Economics, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Presentation, Scalability, Data Processing, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Forecasting and Predictive Analytics Methods Pack

    Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Forecasting, Trend Analysis, Advanced Analytics, Predictive Modeling, Predictive Analytics, Data-Driven Decision-Making, Business Analytics, Supervised Learning, Business Metrics, Market Data, Generative AI, Financial Management, Strategic Decision-Making, Market Intelligence, Statistical Analysis, Model Evaluation, Data Storytelling, Applied Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    57 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Learn & Build Machine Learning Models with Python

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Data Science

    Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Business Analytics, Data Science, Statistical Reporting, Business Intelligence, Project Design, Project Management, Communication, Stakeholder Communications, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.9K reviews

    Advanced · Course · 1 - 3 Months

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

  • Reinforcement Learning: University of Alberta
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Data Science Math Skills: Duke University
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Discrete Math for Computer Science - Algorithms & Recursion: The Hong Kong University of Science and Technology
  • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
  • Introduction to Logic and Critical Thinking: Duke University
  • Analyze and Build Trading Systems Using Market Models: EDUCBA
  • Big Data: University of California San Diego
  • Forecasting and Predictive Analytics Methods Pack: Coursera

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