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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: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universitat Autònoma de Barcelona

    Sustainable high-end tourism

    Skills you'll gain: Service Design, Hospitality, Hospitality Management, Customer Insights, Customer experience improvement, Sustainable Business, Sustainable Development, Consumer Behaviour, Marketing Strategy and Techniques, Innovation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    Koç University

    Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

    Skills you'll gain: Linear Algebra, Differential Equations, Applied Mathematics, Advanced Mathematics, Algebra, Mathematical Modeling, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Emory University

    Survey analysis to Gain Marketing Insights

    Skills you'll gain: Customer Analysis, Statistical Analysis, Target Market, Marketing Analytics, Market Research, Data Analysis, Data Analysis Software, Marketing, Exploratory Data Analysis, Marketing Strategy and Techniques, Consumer Behaviour, Brand Strategy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    123 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Data Mining Project

    Skills you'll gain: Data Mining, Text Mining, Innovation, Data Integration, Unstructured Data, Big Data, Data Analysis, Exploratory Data Analysis, Data Presentation, Data Visualization Software, Feature Engineering, Analysis, Model Evaluation, Natural Language Processing, Technical Writing, Classification Algorithms, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    48 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Systems Science and Obesity

    Skills you'll gain: Systems Thinking, Epidemiology, Systems Analysis, Social Network Analysis, Simulations, Health Disparities, Network Analysis, Public Health, Policy Analysis, Social Determinants Of Health, Behavioral Health, Economics, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    205 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Model Deployment, Anomaly Detection, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Building Custom Regional Reports with Google Analytics

    Skills you'll gain: Google Analytics, Ad Hoc Reporting, Marketing Analytics, Email Automation, Data-Driven Decision-Making, Web Analytics, Dashboard, Geospatial Information and Technology, Marketing, Data Analysis, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    274 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 2

    28DIGITAL

    Advanced Recommender Systems

    Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Feature Engineering, Dimensionality Reduction, Machine Learning, Model Evaluation, Predictive Modeling, Algorithms, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
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    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Science Fundamentals, Part 1: Pearson
  • Sustainable high-end tourism: Universitat Autònoma de Barcelona
  • DoÄŸrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
  • Survey analysis to Gain Marketing Insights: Emory University
  • Data Mining Project: University of Illinois Urbana-Champaign
  • Systems Science and Obesity: Johns Hopkins University
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Machine Learning - Anomaly Detection via PyCaret: Coursera
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Building Custom Regional Reports with Google Analytics: Coursera

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