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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


  • C

    Coursera

    PCB/CAD Design – DFM & DFT Considerations

    Skills you'll gain: Hardware Design, Electronics Engineering, Design Reviews, Computer-Aided Design, Electronic Components, Technical Design

    Intermediate · Course · 1 - 4 Weeks

  • L

    Logical Operations

    R Programming for Data Science

    Skills you'll gain: R Programming, R (Software), Data Science, Data Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Regression Analysis, Statistical Visualization, Statistical Machine Learning, Plot (Graphics), Data Structures, Computer Programming, Decision Tree Learning, Machine Learning Methods, Machine Learning, Software Development, Computer Programming Tools, Data Import/Export, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

  • A

    Arizona State University

    Extracting Value from Dark Data: ULEADD

    Skills you'll gain: Exploratory Data Analysis, Data Strategy, Unstructured Data, Data-Driven Decision-Making, Data Literacy, Solution Design, Data Analysis, Needs Assessment, Gap Analysis, Requirements Analysis

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Master Cloud Accounting with Wave Apps: Analyze & Manage

    Skills you'll gain: Ledgers (Accounting), Small Business Accounting, Accounting Systems, Payroll Processing, Accounts Payable, General Accounting, Dashboard, Sales Tax

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Build Serverless Automation with AWS Lambda

    Skills you'll gain: API Design, Cloud Solutions, Network Troubleshooting, Server Side, Cloud Deployment, Back-End Web Development, Data Pipelines

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    GA Goal Tracking & Setup

    Skills you'll gain: Marketing Effectiveness, Marketing Analytics, Google Analytics, Web Analytics, Verification And Validation, Goal Setting, Web Analytics and SEO, Performance Metric, Transaction Processing, Data Validation, System Testing

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Google Cloud における AI と ML の概要

    Skills you'll gain: Generative AI Agents, Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Prompt Engineering, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Applied Machine Learning, Data Preprocessing, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • E

    Edureka

    Advanced Tokenization and Sentiment Analysis

    Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Model Evaluation, Embeddings, Data Preprocessing, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Unstructured Data, Data Cleansing, Data Processing, Classification Algorithms, Deep Learning, Machine Learning Methods, Unified Modeling Language, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    GNU Octave: Apply, Implement & Design Functions

    Skills you'll gain: Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Trigonometry, Programming Principles, Data Manipulation, Engineering Calculations, Linear Algebra, Data Management

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Advanced Visualizations using Tableau

    Skills you'll gain: Data Visualization Software, Tableau Software, Data Visualization, Data Analysis, Geospatial Mapping, Data Storytelling, Business Analytics, Data Presentation, Advanced Analytics, Spatial Analysis, Marketing Analytics, Data Science, Data Manipulation, Forecasting

    Advanced · Course · 1 - 4 Weeks

  • K

    Koç University

    KALKÜLÜS III: UYGULAMALAR / CALCULUS III: APPLICATIONS

    Skills you'll gain: Numerical Analysis, Calculus, Applied Mathematics, Integral Calculus, Mathematical Software, Mathematics Education, Advanced Mathematics, Mathematical Theory & Analysis, Derivatives

    Mixed · Course · 1 - 4 Weeks

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

  • PCB/CAD Design – DFM & DFT Considerations: Coursera
  • R Programming for Data Science: Logical Operations
  • Extracting Value from Dark Data: ULEADD: Arizona State University
  • Master Cloud Accounting with Wave Apps: Analyze & Manage: EDUCBA
  • Build Serverless Automation with AWS Lambda: EDUCBA
  • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
  • GA Goal Tracking & Setup: Coursera
  • Google Cloud における AI と ML の概要: Google Cloud
  • Advanced Tokenization and Sentiment Analysis: Edureka
  • GNU Octave: Apply, Implement & Design Functions: EDUCBA

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