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  • Introduction To Data Science

Results for "introduction to data science"


  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Data Processing, Data Manipulation, Visualization (Computer Graphics), Tensorflow, Applied Machine Learning, Computer Vision, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Financial Analytics in RStudio: Identify Profit Drivers

    Skills you'll gain: Operational Analysis, Performance Analysis, Performance Improvement, Data Import/Export, Variance Analysis, Exploratory Data Analysis, Data Analysis, Financial Analysis, Operations Management, Operating Expense, Plot (Graphics), Waterfall Methodology

    Intermediate · Guided Project · Less Than 2 Hours

  • 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

  • C

    Coursera

    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, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Análisis de documentos con servicios cognitivos de Azure

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Machine Learning Methods, Data Validation, No-Code Development, Microsoft Power Automate/Flow, Data Processing, Document Management, Cloud Services

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Advanced Mathematics, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Performance Tuning, Data Science, Data Analysis, Data Processing

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm

    4
    Rating, 4 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • 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
    I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Responsible AI, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Solutions, Cloud Computing, Generative AI, Big Data, Data Analysis, Data Science, Natural Language Processing, Business Intelligence, Content Creation, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    105K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Trustworthy AI: Managing Bias, Ethics, and Accountability

    Skills you'll gain: Responsible AI, Data Ethics, Risking, Artificial Intelligence, Machine Learning, AI Product Strategy, Ethical Standards And Conduct, Case Studies, Legal Risk, Law, Regulation, and Compliance, Data-Driven Decision-Making, Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    S

    Simplilearn

    Advanced Prompt Engineering Course

    Skills you'll gain: Prompt Patterns, Prompt Engineering Tools, LangChain, Generative AI, LLM Application, Large Language Modeling, OpenAI, Data Synthesis

    Beginner · Course · 1 - 4 Weeks

Searches related to introduction to data science

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introduction to bayesian statistics for data science
introduction to clinical data science
1…341342343…834

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

  • Build a Machine Learning Image Classifier with Python: Coursera
  • Financial Analytics in RStudio: Identify Profit Drivers: Coursera
  • Bayesian Computational Statistics: Illinois Tech
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Análisis de documentos con servicios cognitivos de Azure: Coursera
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Interpretable machine learning applications: Part 3: Coursera
  • Key Technologies for Business: IBM

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