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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
    Free
    C

    Coursera

    Dashboards in Qlik Sense: Decision-Support Dashboards

    Skills you'll gain: Interactive Data Visualization, Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Integration, Heat Maps, Spatial Data Analysis, Data-Driven Decision-Making, Decision Support Systems, Business Intelligence Software, Geospatial Information and Technology, Data Mapping

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    I

    IE Business School

    Beyond the Obvious: How to Think in the Age of Generative AI

    Skills you'll gain: Critical Thinking, Logical Reasoning, Analytical Skills, Generative AI, Empathy, Cognitive flexibility, Research, Lifelong Learning, Data Analysis, Decision Making, Statistical Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Develop a Movie Recommendation Engine

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming, Predictive Modeling, Development Environment, Data Manipulation, Exploratory Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Skillshare

    Cinematic Video Editing : Master Exciting Youtube Intro's

    Skills you'll gain: Video Editing, Post-Production, Adobe Premiere, Motion Graphics, Adobe After Effects, Cinematography, Timelines, Color Theory, Image Quality

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Università di Napoli Federico II

    Robotics Foundations I - Robot Modelling

    Skills you'll gain: Robotics, Simulation and Simulation Software

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    A Practical Approach to Timeseries Forecasting Using Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    How to find audience interests with Meta Business Suite

    Skills you'll gain: Facebook, Target Audience, Customer Insights, Online Advertising, Advertising Campaigns, Digital Advertising, Customer Analysis, Advertising, Market Opportunities, Business Metrics, Content Performance Analysis, Data Import/Export

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Engineering Genetic Circuits: Abstraction Methods

    Skills you'll gain: Markov Model, Engineering Analysis, Mathematical Modeling, Computational Thinking, Failure Analysis, Biological Engineering, Hazard Analysis, Simulations, Chemical Engineering, Model Evaluation, Applied Mathematics, Differential Equations, Probability

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Copilot for Beginners: Sales Data Analysis in Excel

    Skills you'll gain: Microsoft Copilot, Microsoft Excel, Data Cleansing, Data Visualization Software, Spreadsheet Software, Trend Analysis, Forecasting, Pivot Tables And Charts, Data Manipulation, Sales, Data Analysis, Artificial Intelligence

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to Image Generation - Italiano

    Skills you'll gain: Generative AI, Generative Model Architectures, Model Deployment, Image Analysis, Applied Mathematics, Mathematical Modeling, Physics

    Beginner · Course · 1 - 4 Weeks

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

  • Dashboards in Qlik Sense: Decision-Support Dashboards: Coursera
  • Beyond the Obvious: How to Think in the Age of Generative AI: IE Business School
  • Develop a Movie Recommendation Engine: EDUCBA
  • Advanced Machine Learning and Deep Learning: Packt
  • Cinematic Video Editing : Master Exciting Youtube Intro's: Skillshare
  • Robotics Foundations I - Robot Modelling: Università di Napoli Federico II
  • A Practical Approach to Timeseries Forecasting Using Python: Packt
  • How to find audience interests with Meta Business Suite: Coursera
  • Engineering Genetic Circuits: Abstraction Methods: University of Colorado Boulder
  • Machine Learning in Python: Analyze & Apply: EDUCBA

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