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  • Workflow Of Data Science Projects

Results for "workflow of data science projects"


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Deploy and Maintain Power BI Assets and Capstone project

    Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Dashboard, Business Intelligence, Data Management, Data Security, Microsoft Azure, Microsoft SQL Servers, Data Analysis, SQL, Data Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    292 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Data Manipulation, Scalability, Applied Machine Learning, Debugging, Model Evaluation, Python Programming, Software Visualization, Data Preprocessing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Cape Town

    Julia Scientific Programming

    Skills you'll gain: Plot (Graphics), Scatter Plots, Graphing, Scientific Visualization, Data Visualization, Jupyter, Epidemiology, Exploratory Data Analysis, Data Visualization Software, Data Manipulation, Data Science, Data Structures, Programming Principles, Statistical Analysis, Other Programming Languages, Computer Programming, Mathematical Modeling, Data Import/Export, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    436 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Machine Learning for Absolute Beginners - Level 1

    Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Data Ethics, Machine Learning, Applied Machine Learning, Artificial Intelligence, Supervised Learning, Predictive Modeling, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Reinforcement Learning

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Transfer Learning, Convolutional Neural Networks, IBM Cloud, Cloud Applications, Application Development, Cloud Deployment, Jupyter, Python Programming, Deep Learning, Classification Algorithms, Model Evaluation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize Your Marketing Pipeline with AI

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G
    N
    G
    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Financial Market, Financial Trading, Regression Analysis, Google Cloud Platform, Model Evaluation, Financial Forecasting, Reinforcement Learning, Market Data, Recurrent Neural Networks (RNNs), Securities Trading, Time Series Analysis and Forecasting, Tensorflow, Market Trend, Machine Learning, Technical Analysis, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.3
    Rating, 4.3 out of 5 stars
    ·
    340 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Deploy and Maintain Power BI Assets and Capstone project: Microsoft
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Principal Component Analysis with NumPy: Coursera
  • Julia Scientific Programming: University of Cape Town
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Practical Machine Learning: Johns Hopkins University
  • Machine Learning for Absolute Beginners - Level 1: Packt
  • Introduction to Computer Vision and Image Processing: IBM
  • Optimize Your Marketing Pipeline with AI: Coursera
  • Machine Learning for Trading: Google Cloud

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