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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.


More to explore:

Popular Applied Statistics Courses and Certifications


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    Coursera

    RF/Microwave Design - Antenna Design

    Skills you'll gain: electromagnetics, Electrical Engineering, Electronics Engineering, Electronics, Verification And Validation, Communication Systems, Wireless Networks, Digital Communications, Telecommunications, Technical Design, Prototyping, Engineering Design Process, Simulation and Simulation Software, Simulations, Workflow Management, Radiation Protection, Network Troubleshooting, Business Workflow Analysis

    Intermediate · Course · 1 - 4 Weeks

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    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Analyze Demographics: Unlock Audience Insights

    Skills you'll gain: Google Analytics, Adobe Analytics, Web Analytics, Trend Analysis, Marketing Analytics, Variance Analysis, Target Audience, Demography, Data Analysis, Marketing Strategies, Data-Driven Decision-Making, Descriptive Analytics, Strategic Marketing

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Automate, Optimize, and Benchmark Data Pipelines

    Skills you'll gain: Performance Analysis, Performance Testing, Performance Measurement, Benchmarking, Data Modeling, Data Processing, Extract, Transform, Load, Data-Driven Decision-Making, Statistical Analysis

    Advanced · Course · 1 - 4 Weeks

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    Coursera

    Optimize Vision Datasets: Augment and Analyze

    Skills you'll gain: Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Data Manipulation, Statistical Reporting

    Intermediate · Course · 1 - 4 Weeks

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    Scrum Alliance

    Agile Essentials

    Skills you'll gain: User Story, Agile Product Development, Team Building, Team Management, Agile Methodology, Agile Project Management, User Research, Agile Software Development, Product Management, Organizational Change, Continuous Improvement Process, Project Management, Change Management

    Beginner · Course · 1 - 3 Months

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    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

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    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
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    344 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation

    Intermediate · Specialization · 3 - 6 Months

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    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Apply and Analyze Data Using SAS PROC SQL

    Skills you'll gain: SQL, SAS (Software), Stored Procedure, Metadata Management, Data Integrity, Query Languages, Relational Databases, Data Manipulation, Data Analysis Software, Data Transformation, Data-Driven Decision-Making, Performance Tuning, Data Governance, Scripting, Debugging, Data Wrangling, Database Management, Data Analysis, Computational Logic, Data Management

    Beginner · Specialization · 3 - 6 Months

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    EDUCBA

    Analyze Financial Risk Using AI, Markets, and Governance

    Skills you'll gain: Risk Modeling, Financial Systems, Responsible AI, Safety Culture, FinTech

    Intermediate · Course · 1 - 3 Months

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

  • RF/Microwave Design - Antenna Design: Coursera
  • ML Model Development and Tracking: Hands-on Guide: KodeKloud
  • Analyze Demographics: Unlock Audience Insights: Coursera
  • Automate, Optimize, and Benchmark Data Pipelines: Coursera
  • Optimize Vision Datasets: Augment and Analyze: Coursera
  • Agile Essentials: Scrum Alliance
  • Introduction to Neural Networks and PyTorch: IBM
  • Microsoft AI & ML Engineering: Microsoft
  • Systematic ML Optimization: Coursera
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI

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