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Results for "data science..."


  • R

    Rice University

    Business Statistics and Analysis Capstone

    Skills you'll gain: Business Analytics, Statistical Methods, Statistical Analysis, Data Analysis, Data Presentation, Statistical Reporting, Analytical Skills, Technical Communication, Predictive Analytics, Exploratory Data Analysis, Regression Analysis, Microsoft Excel

    4.7
    Rating, 4.7 out of 5 stars
    ·
    441 reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    456 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    ChatGPT Prompt Engineering for Developers

    Skills you'll gain: OpenAI API, ChatGPT, Prompt Engineering, LLM Application, Large Language Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.2K reviews

    Beginner · Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    AI and Public Health

    Skills you'll gain: Model Evaluation, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Artificial Intelligence, Machine Learning, Applied Machine Learning, Supervised Learning, Information Privacy, Deep Learning, Data Preprocessing, Environmental Monitoring, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    250 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • R

    Rice University

    Business Applications of Hypothesis Testing and Confidence Interval Estimation

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    The Unix Workbench

    Skills you'll gain: GitHub, Unix, Git (Version Control System), Unix Commands, Version Control, Bash (Scripting Language), Ubuntu, Command-Line Interface, Cloud Computing, Shell Script, Linux, Mac OS, Scripting, Scripting Languages, Programming Principles, File Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

Searches related to data science...

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1…227228229…834

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

  • Business Statistics and Analysis Capstone: Rice University
  • Supervised Machine Learning: Classification: IBM
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • ChatGPT Prompt Engineering for Developers: DeepLearning.AI
  • AI and Public Health: DeepLearning.AI
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
  • Deep Learning with Keras and Tensorflow: IBM
  • Feature Engineering: Google Cloud
  • Advanced Machine Learning on Google Cloud: Google Cloud

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