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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


  • G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Transformation, Data Store, Applied Machine Learning, Keras (Neural Network Library), Data Modeling, Machine Learning, Python Programming, Statistical Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • 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

  • 2

    28DIGITAL

    Basic Recommender Systems

    Skills you'll gain: Model Evaluation, Data Ethics, Systems Design, System Requirements, Responsible AI, Machine Learning Algorithms, Innovation, Algorithms, Data Preprocessing, Predictive Modeling, Data-Driven Decision-Making, Applied Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to Market Research

    Skills you'll gain: Market Research, Analytical Skills, Data Collection, Data-Driven Decision-Making, Market Analysis, Market Dynamics, Marketing, Business Research, Quantitative Research, Data Analysis, Customer Insights, Marketing Strategies, Market Trend, Consumer Behaviour, Focus Group, Trend Analysis, Competitive Analysis, Strategic Decision-Making

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 3 Months

  • A

    Arizona State University

    Data Analysis and Visualization with Python

    Skills you'll gain: Matplotlib, File I/O, NumPy, Plot (Graphics), Pandas (Python Package), Data Structures, Data Visualization Software, Data Analysis, Python Programming, Data Processing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Securing AI and Advanced Topics

    Skills you'll gain: Generative Adversarial Networks (GANs), AI Security, Generative AI, Fraud detection, Model Evaluation, Feature Engineering, Cybersecurity, Cyber Security Strategy, Data Preprocessing, Anomaly Detection, Security Testing, Applied Machine Learning, Reinforcement Learning, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Supervised Learning, Model Evaluation, Model Deployment, Machine Learning Algorithms, Performance Tuning, MLOps (Machine Learning Operations), Artificial Neural Networks

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations

    Intermediate · Course · 1 - 3 Months

  • 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

  • S

    SAS

    Analyzing Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Machine Learning Methods, Predictive Modeling, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Data Preprocessing, Bayesian Statistics, Model Evaluation

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Feature Engineering en Español: Google Cloud
  • Style Tables with CSS: Coursera
  • Machine Learning in Retail: Coursera
  • Basic Recommender Systems: 28DIGITAL
  • Introduction to Market Research: Coursera
  • Data Analysis and Visualization with Python: Arizona State University
  • Securing AI and Advanced Topics: Johns Hopkins University
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Foundations of Probability and Random Variables: Johns Hopkins University

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