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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


  • U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Data Store, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Scalability, Machine Learning

    ★ 4.3 (343) · Mixed · Course · 1 - 3 Months

  • E

    ESSEC Business School

    Foundations of marketing analytics

    Skills you'll gain: Data-Driven Marketing, Marketing Analytics, Customer Analysis, Marketing Strategies, Business Analytics, Statistical Programming, Customer Insights, R Programming, R (Software), Customer Data Management, Data-Driven Decision-Making, Data Analysis Software, Target Market, Predictive Analytics, Statistical Analysis, Statistical Modeling, Predictive Modeling, Statistical Methods

    ★ 4.6 (762) · Mixed · Course · 1 - 3 Months

  • L

    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Model Optimization, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, Model Training, Machine Learning, Data Science

    ★ 3.3 (103) · Beginner · Specialization · 3 - 6 Months

  • N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Mathematical Theory & Analysis, Probability, Probability & Statistics, Algorithms

    ★ 4.9 (937) · Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    IA Para Todos (Português)

    Skills you'll gain: AI Product Strategy, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Business Strategy, Artificial Intelligence, Data Ethics, Responsible AI, Applied Machine Learning, AI literacy, Data Science, Machine Learning, Artificial Neural Networks, Deep Learning

    ★ 4.8 (30) · Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Introduction to Generative AI for Data Analysis

    Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Data Cleansing, Data Preprocessing, Data Analysis, Responsible AI, Transfer Learning, AI Integrations, Exploratory Data Analysis, Anomaly Detection

    ★ 4.3 (97) · Intermediate · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Desarrollo y Diseño de Videojuegos

    Skills you'll gain: Game Design, Animation and Game Design, Video Game Development, Scrum (Software Development), Unity Engine, Value Propositions, Animations, Functional Specification, Proposal Development, Sprint Retrospectives, Business Modeling, Agile Methodology, 3D Assets, Agile Software Development, Software Design Documents, Software Development Methodologies, Customer Analysis, Interaction Design, UI Components, Software Documentation

    ★ 4.4 (392) · Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Calculus through Data & Modelling: Series and Integration

    Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Numerical Analysis, Mathematical Modeling, Mathematical Software, Exploratory Data Analysis

    ★ 4.9 (58) · Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Optical Efficiency and Resolution

    Skills you'll gain: Electrical Engineering, electromagnetics, Image Quality, Engineering Calculations, System Requirements, Simulation and Simulation Software, Design Software, Systems Design, System Design and Implementation, Graphical Tools, Applied Mathematics, Physics, Spatial Analysis

    ★ 4.2 (64) · Advanced · Course · 1 - 3 Months

  • U

    University of Alberta

    Science Literacy

    Skills you'll gain: Scientific Methods, Science and Research, General Science and Research, Research Methodologies, Research, Research Design, Peer Review, Experimentation, Media and Communications, Correlation Analysis, Journalism, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Communication

    ★ 4.4 (286) · Beginner · Course · 1 - 3 Months

  • T

    The Hong Kong University of Science and Technology

    Calculus for Engineers

    Skills you'll gain: Calculus, Numerical Analysis, Integral Calculus, Applied Mathematics, Differential Equations, Mechanics, Trigonometry, Physics, Mathematical Theory & Analysis, Derivatives

    ★ 4.9 (33) · Beginner · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    3D Printing Applications

    Skills you'll gain: Design Thinking, Intellectual Property, Solution Design, Education Software and Technology, Innovation, Social Impact, Manufacturing Processes, Manufacturing and Production, Education and Training, Community Development, Legal Risk

    ★ 4.6 (688) · Beginner · Course · 1 - 3 Months

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

  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Foundations of marketing analytics: ESSEC Business School
  • AI for Scientific Research: LearnQuest
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • IA Para Todos (Português): DeepLearning.AI
  • Introduction to Generative AI for Data Analysis: Microsoft
  • Desarrollo y Diseño de Videojuegos: Universidad de los Andes
  • Calculus through Data & Modelling: Series and Integration: Johns Hopkins University
  • Optical Efficiency and Resolution: University of Colorado Boulder
  • Science Literacy : University of Alberta

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