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  • Introduction To Data Science

Results for "introduction to data science"


  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Supervised Learning, Image Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Predictive Modeling, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Marketing Analysts: Innovate Marketing Strategies

    Skills you'll gain: Marketing Analytics, Google Analytics, Campaign Management, Generative AI, Responsible AI, Customer Analysis, Marketing Automation, Performance Analysis, Social Media Campaigns, Marketing Strategies, Customer Insights, Data Ethics, Case Studies, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    Large Language Models

    Skills you'll gain: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Management, Prompt Engineering, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Natural Language Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning, Data Processing

    3.5
    Rating, 3.5 out of 5 stars
    ·
    13 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    E

    Emory University

    Reproducible Templates for Analysis and Dissemination

    Skills you'll gain: Rmarkdown, Collaborative Software, Technical Documentation, Document Management, Technical Writing, Data Sharing, R (Software), R Programming, YAML, Hypertext Markup Language (HTML), File Management, Cascading Style Sheets (CSS), Version Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, R Programming, Markov Model, Probability, Simulations, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • 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, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems with Machine Learning

    Skills you'll gain: Data Manipulation, Applied Machine Learning, Supervised Learning, Machine Learning, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Taxonomy, Data Mining, Data Analysis, Deep Learning, Matplotlib

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    W

    Whizlabs

    Microsoft Copilot: Power Platform & Security Best Practices

    Skills you'll gain: Microsoft Copilot, Microsoft Power Automate/Flow, Microsoft Power Platform, Microsoft 365, Security Management, Threat Detection, Compliance Management, Artificial Intelligence, Business Process Automation, Automation, Incident Response, Generative AI

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica de Chile

    Introducción a la visualización de datos

    Skills you'll gain: Data Visualization, Data Visualization Software, Data Presentation, Data Literacy, Human Factors, Color Theory, Design Elements And Principles, Graphing

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Certified Six Sigma Yellow Belt Training

    Skills you'll gain: Minitab, Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Statistical Process Controls, Data-Driven Decision-Making, Process Improvement, Waste Minimization, Project Management, Continuous Improvement Process, Brainstorming, Process Mapping, Quality Assessment, Customer Insights, Sampling (Statistics), Data Collection

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    توقع حضور المواعيد الطبية باستخدام Python

    Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Processing, Artificial Intelligence, Predictive Modeling, Data Science, Data Manipulation, Jupyter, Feature Engineering, Machine Learning, Data Visualization, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

Searches related to introduction to data science

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1…331332333…834

In summary, here are 10 of our most popular introduction to data science courses

  • Interpretable machine learning applications: Part 3: Coursera
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • GenAI for Marketing Analysts: Innovate Marketing Strategies: Coursera
  • Large Language Models: H2O.ai
  • Reproducible Templates for Analysis and Dissemination : Emory University
  • Bayesian Computational Statistics: Illinois Tech
  • Foundations and Core Concepts of PyTorch: Packt
  • Recommender Systems with Machine Learning: Packt
  • Microsoft Copilot: Power Platform & Security Best Practices: Whizlabs
  • Introducción a la visualización de datos: Pontificia Universidad Católica de Chile

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