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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


  • G

    Google Cloud

    Running Distributed TensorFlow using Vertex AI

    Skills you'll gain: Tensorflow, Google Cloud Platform, Image Analysis, Applied Machine Learning, Cloud Computing, Distributed Computing

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of California, Irvine

    데이터 스토리텔링

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Tableau Software, Exploratory Data Analysis, Correlation Analysis, Data Ethics, Data Analysis, Advanced Analytics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Keras (Neural Network Library), Jupyter, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Data Science con Python e R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Programming Principles, Data Management

    4.2
    Rating, 4.2 out of 5 stars
    ·
    54 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 3

    Skills you'll gain: Generative AI, LLM Application, Prompt Engineering, Training Programs, Large Language Modeling, Program Evaluation, Applied Machine Learning, Data Processing, Benchmarking, Artificial Neural Networks

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Leeds

    Aeroecology: Exploring Biodiversity with Radar

    Skills you'll gain: Environmental Monitoring, Environmental Regulations, Environment, Taxonomy, Environmental Science, Spatial Data Analysis, Estimation, Research, Scientific Visualization, Data Literacy, Exploratory Data Analysis, Biology, Data Visualization, Research Methodologies, Physics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    AI-900 - Azure AI Fundamentals and Two Practice Tests

    Skills you'll gain: Unsupervised Learning, Responsible AI

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    GenAI for Data Analysis : OpenAI Assistant API

    Skills you'll gain: Prompt Engineering, Data Analysis, Generative AI, OpenAI, Exploratory Data Analysis, Data Manipulation, LLM Application, Artificial Intelligence, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Python Programming, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Development Methodologies Overview

    Skills you'll gain: Software Development Life Cycle, CI/CD, Software Development Methodologies, Jenkins, Continuous Integration, Agile Methodology, Software Development, Cloud Development, Continuous Delivery, Agile Software Development, Cloud Computing Architecture, Cloud Applications, Software Engineering, Scrum (Software Development), Computer Programming, Kubernetes

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to applied statistics

applied statistics for data analytics
statistics and applied data analysis
1…173174175…227

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

  • Running Distributed TensorFlow using Vertex AI: Google Cloud
  • 데이터 스토리텔링: University of California, Irvine
  • Python per la Data Science: Università di Napoli Federico II
  • PySpark Foundations: Process, analyze, and summarize data: Coursera
  • Data Science con Python e R: Università di Napoli Federico II
  • H2O ai Large Language Models (LLMs) - Level 3: H2O.ai
  • Aeroecology: Exploring Biodiversity with Radar: University of Leeds
  • AI-900 - Azure AI Fundamentals and Two Practice Tests: Packt
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • GenAI for Data Analysis : OpenAI Assistant API : Coursera

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