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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


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    EDUCBA

    Linear Regression & Predictive Modeling with SPSS

    Skills you'll gain: Data Visualization, Data Presentation, Regression Analysis, Predictive Modeling, Statistical Modeling, Forecasting, Financial Modeling, SPSS, Predictive Analytics, Risk Modeling, Statistical Analysis, Scatter Plots, Microsoft Excel

    Mixed · Course · 1 - 4 Weeks

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    H2O.ai

    H2O Cloud AI Developer Services

    Skills you'll gain: AI Enablement, Cloud Development, Large Language Modeling, Image Analysis, AI Workflows, Feature Engineering, Cloud Services, Applied Machine Learning, Computer Vision, MLOps (Machine Learning Operations), Artificial Intelligence, Transfer Learning, Model Deployment, Generative AI, Natural Language Processing, Data Integration

    Intermediate · Course · 1 - 3 Months

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    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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    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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    Google Cloud

    Employing Best Practices for Improving the Usability of LookML Projects

    Skills you'll gain: Looker (Software), Maintainability, Usability Testing, Exploratory Data Analysis, Data Dictionary, Data Literacy, Data Visualization, Data Analysis

    Intermediate · Project · Less Than 2 Hours

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    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets

    Mixed · Course · 1 - 3 Months

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    Coursera

    Comment analyser l'engagement des Tweets avec Twitter Analytics

    Skills you'll gain: Social Media Marketing, Drive Engagement, Social Media, Customer Engagement, Social Media Campaigns, Advertising Campaigns, Content Performance Analysis, Web Analytics, Marketing

    Beginner · Guided Project · Less Than 2 Hours

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    EDUCBA

    NumPy & Pandas: Analyze & Manage Retail Data

    Skills you'll gain: Data Import/Export, NumPy, Pandas (Python Package), Pivot Tables And Charts, Business Reporting, Data Manipulation, Analytics, Data Processing, Management Reporting, Data Wrangling, Business Analytics, Data Cleansing, Data Analysis, Data Transformation, Statistical Analysis, Data Management, Descriptive Statistics, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

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    Google Cloud

    Creating Measures and Dimensions Using LookML

    Skills you'll gain: Looker (Software), Dashboard, Data Analysis Expressions (DAX), Ad Hoc Analysis, Data Analysis, Exploratory Data Analysis, Data Visualization Software

    Beginner · Project · Less Than 2 Hours

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    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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    Alberta Machine Intelligence Institute

    Demystifying GenAI: Concepts and Applications

    Skills you'll gain: Generative AI, AI Enablement, AI Product Strategy, Case Studies, Artificial Intelligence, LLM Application, Responsible AI, Data Ethics, Trend Analysis

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    DirectX: Implement & Optimize 3D Rendering

    Skills you'll gain: Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, C++ (Programming Language), Mathematical Theory & Analysis, Applied Mathematics, Algebra

    Mixed · Course · 1 - 4 Weeks

Searches related to applied statistics

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

  • Linear Regression & Predictive Modeling with SPSS: EDUCBA
  • H2O Cloud AI Developer Services: H2O.ai
  • Clustering and Classification with Machine Learning in R: Packt
  • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
  • Employing Best Practices for Improving the Usability of LookML Projects: Google Cloud
  • Machine Learning with Small Data Part 2: Northeastern University
  • Comment analyser l'engagement des Tweets avec Twitter Analytics: Coursera
  • NumPy & Pandas: Analyze & Manage Retail Data: EDUCBA
  • Creating Measures and Dimensions Using LookML: Google Cloud
  • Statistical Learning for Engineering Part 2: Northeastern University

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