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    • Statistics For Data Science

    Statistics for Data Science Courses Online

    Master statistics for data science applications. Learn about statistical techniques, data analysis, and machine learning models.

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    Explore the Statistics for Data Science Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Meaningful Predictive Modeling

      Skills you'll gain: Predictive Modeling, Data Validation, Verification And Validation, Applied Machine Learning, Regression Analysis, Supervised Learning, Classification And Regression Tree (CART), Python Programming, Statistical Methods, Scikit Learn (Machine Learning Library), Text Mining, Test Data, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations and Core Concepts of PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Intro to AI Engineering

      Skills you'll gain: Prompt Engineering, OpenAI, Generative AI, Data Ethics, ChatGPT, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Application Programming Interface (API), Image Analysis, Large Language Modeling, Computer Programming, Safety and Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Natural Language Processing and Capstone Assignment

      Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Analytics, Data Analysis, Geospatial Information and Technology, Machine Learning Methods, Business Intelligence, Internet Of Things, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      N

      National Taiwan University

      機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

      Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Applied Machine Learning, Algorithms, Regression Analysis, Predictive Modeling, Verification And Validation, Feature Engineering, Statistical Methods, Data Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      331 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning: Techniques and Applications

      Skills you'll gain: Computer Vision, Machine Learning Algorithms, Image Analysis, Supervised Learning, Applied Machine Learning, Feature Engineering, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Predictive Modeling, Machine Learning, Data Analysis

      3.9
      Rating, 3.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Graduate Admission Prediction with Pyspark ML

      Skills you'll gain: Data Cleansing, PySpark, Data Processing, Pandas (Python Package), Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      H

      H2O.ai

      Large Language Models

      Skills you'll gain: Large Language Modeling, Collaborative Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Machine Learning Methods, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Business Logic, Natural Language Processing, Applied Machine Learning, AI Personalization, MLOps (Machine Learning Operations), Data Processing, Data Transformation, Verification And Validation

      3.4
      Rating, 3.4 out of 5 stars
      ·
      12 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google 데이터 애널리틱스 수료증 이수 과정

      Skills you'll gain: Data Storytelling, Data Cleansing, Rmarkdown, Data Presentation, Data Visualization, Analytical Skills, Tableau Software, Dashboard, Stakeholder Communications, Data Literacy, Data Integrity, Data Analysis, Spreadsheet Software, Data Ethics, Ggplot2, Data Visualization Software, Data-Driven Decision-Making, Data Validation, LinkedIn, Database Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      46 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      F

      Fractal Analytics

      Unlocking AI and ML : Your Path to Smart Business Solutions

      Skills you'll gain: Generative AI, Data Analysis, Business Analytics, Artificial Intelligence and Machine Learning (AI/ML), Analytical Skills, Data-Driven Decision-Making, Deep Learning, Artificial Intelligence, Business Intelligence, Data Science, Artificial Neural Networks, Data Cleansing, Data Quality, Machine Learning, Python Programming, Regression Analysis, Business Ethics, Predictive Modeling, Supervised Learning, Unsupervised Learning

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 2

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis, Performance Measurement

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Natural Language Processing with Real-World Projects

      Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Python Programming, Data Science, Text Mining, Data Processing, Applied Machine Learning, Unstructured Data, Markov Model, Unsupervised Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Specialization · 3 - 6 Months

    Statistics For Data Science learners also search

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    1…351352353…834

    In summary, here are 10 of our most popular statistics for data science courses

    • Meaningful Predictive Modeling: University of California San Diego
    • Foundations and Core Concepts of PyTorch: Packt
    • Intro to AI Engineering: Scrimba
    • Natural Language Processing and Capstone Assignment: University of California, Irvine
    • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
    • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
    • Graduate Admission Prediction with Pyspark ML: Coursera Project Network
    • Large Language Models: H2O.ai
    • Google 데이터 애널리틱스 수료증 이수 과정: Google
    • Unlocking AI and ML : Your Path to Smart Business Solutions: Fractal Analytics

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