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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


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    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

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    B

    Board Infinity

    AI-Driven Attribution Testing

    Skills you'll gain: Data-Driven Decision-Making, Strategic Decision-Making, AI Enablement, Data Ethics, Marketing Analytics, Trend Analysis, Case Studies, Artificial Intelligence, Strategic Planning, Marketing Strategies, Business Ethics

    Intermediate · Course · 1 - 4 Weeks

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    C

    Coursera

    Evaluate LLMs: Test and Prove Significance

    Skills you'll gain: Statistical Visualization, Model Evaluation, Data Presentation, Statistical Hypothesis Testing, Statistical Analysis, Data Storytelling, Large Language Modeling, Statistical Methods, Data-Driven Decision-Making, Matplotlib, Statistical Inference, Jupyter, Probability & Statistics, Experimentation, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Creating a Data Transformation Pipeline with Cloud Dataprep

    Skills you'll gain: Data Manipulation, Data Pipelines, Data Transformation, Data Quality, Data Cleansing, Data Preprocessing, Data Import/Export, Extract, Transform, Load, Exploratory Data Analysis, Big Data, Google Analytics

    Intermediate · Project · Less Than 2 Hours

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    Coursera

    Connect Google Ads & Analytics Data

    Skills you'll gain: Google Ads, Google Analytics, Marketing Analytics, Data Integration, Web Analytics, Data Access

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Packt

    Deep Learning: Convolutional Neural Networks with TensorFlow

    Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Forecast and Validate Your Marketing Traffic

    Skills you'll gain: Statistical Modeling, Data Validation, Media Planning, Variance Analysis, Regression Analysis, Predictive Analytics, Predictive Modeling, Web Analytics, Forecasting, Trend Analysis, Marketing Analytics, Time Series Analysis and Forecasting, Marketing Budgets, Analytics, Data-Driven Decision-Making, Data Quality, Advertising Campaigns

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Minnesota

    Causal Inference Project Ideation

    Skills you'll gain: Experimentation, Research Design, A/B Testing, Business Analysis, Analytical Skills, Complex Problem Solving, Statistical Inference, Business Priorities, Data Ethics, Prioritization, Project Planning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    P

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - Español

    Skills you'll gain: MLOps (Machine Learning Operations), Enterprise Modeling, Google Cloud Platform, AI Workflows, Workflow Management, Model Deployment, Data Preprocessing, Tensorflow, Data Pipelines, Applied Machine Learning, Model Evaluation, Machine Learning, Predictive Modeling, Data Management

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis

    Beginner · Course · 1 - 3 Months

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    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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

  • Robotics Foundations I - Robot Modelling: Università di Napoli Federico II
  • AI-Driven Attribution Testing: Board Infinity
  • Evaluate LLMs: Test and Prove Significance: Coursera
  • Creating a Data Transformation Pipeline with Cloud Dataprep: Google Cloud
  • Connect Google Ads & Analytics Data: Coursera
  • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
  • Forecast and Validate Your Marketing Traffic: Coursera
  • Causal Inference Project Ideation: University of Minnesota
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Machine Learning in the Enterprise - Español: Google Cloud

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