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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


  • Status: New
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    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Boost Productivity with Gemini in BigQuery

    Skills you'll gain: Google Gemini, Gemini, Big Data, Data Analysis, Exploratory Data Analysis, AI Enablement, Data Preprocessing, Generative AI, Data Visualization Software

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    S

    Simplilearn

    Strategies for Paid Campaigns

    Skills you'll gain: Google Analytics, Marketing Budgets, Performance marketing, Pay Per Click Advertising, Digital Marketing, Paid media, Google Ads, Marketing Strategies, Digital Advertising, Driving engagement, Campaign Management, Web Analytics, Online Advertising, Advertising Campaigns, Budget Management, Bidding, Marketing Analytics, Lead Generation, Facebook, Consumer Behaviour

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    L

    LearnQuest

    인공 지능 데이터 공정성 및 편향

    Skills you'll gain: Data Ethics, Responsible AI, Machine Learning, Data Collection, Game Theory, Algorithms, Applied Machine Learning, Artificial Intelligence, Predictive Modeling

    Beginner · Course · 1 - 4 Weeks

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    Northwestern University

    현대 로봇공학, 강좌 3: 로봇 동역학

    Skills you'll gain: Robotics, Mathematical Modeling, Computer Programming Tools, Simulation and Simulation Software, Mechanics, Torque (Physics), Algorithms, Applied Mathematics, Differential Equations, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Honors Algebra 2: Algebraic, Exponential & Log Functions

    Skills you'll gain: Algebra, Applied Mathematics, Graphing, Mathematical Modeling, Advanced Mathematics, Calculus, Data Analysis

    Beginner · Course · 1 - 4 Weeks

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    Siemens

    Dynamique des fluides numérique appliquée

    Skills you'll gain: Thermal Management, Finite Element Methods, Engineering Analysis, Mechanical Engineering, Engineering, Scientific Visualization, Simulations, Numerical Analysis, Mathematical Modeling, Differential Equations, Physics

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Building AI-Powered Application with .NET

    Skills you'll gain: .NET Framework, Machine Learning Algorithms, Model Deployment, Machine Learning, AI Enablement, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Microsoft Azure, MLOps (Machine Learning Operations), C# (Programming Language), Microsoft Visual Studio, Development Environment, Microsoft Development Tools, Responsible AI, Model Evaluation, Computer Vision

    Intermediate · Course · 1 - 3 Months

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    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    Coursera

    GenAI for Customer Insights

    Skills you'll gain: Customer Insights, AI Personalization, Customer Analysis, Customer experience strategy (CX), Generative AI, User Feedback, Customer Data Management, Customer experience improvement, Business Intelligence, Trend Analysis, Data-Driven Decision-Making, Predictive Analytics, Marketing Strategies

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Create Customizable Proposals in Qwilr

    Skills you'll gain: Content Performance Analysis, Proposal Development, Web Analytics, Presentations, Marketing Materials, Finance, Project Management

    Beginner · Guided Project · Less Than 2 Hours

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

  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA
  • Boost Productivity with Gemini in BigQuery: Google Cloud
  • Strategies for Paid Campaigns: Simplilearn
  • 인공 지능 데이터 공정성 및 편향: LearnQuest
  • 현대 로봇공학, 강좌 3: 로봇 동역학: Northwestern University
  • Honors Algebra 2: Algebraic, Exponential & Log Functions: Johns Hopkins University
  • Dynamique des fluides numérique appliquée: Siemens
  • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
  • Building AI-Powered Application with .NET: Packt
  • Data Science Fundamentals Part 1: Unit 3: Pearson

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