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  • Foundational Knowledge Needed To Work With Dark Data

Results for "foundational knowledge needed to work with dark data"


  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Generative AI, Big Data, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, Customer Data Management, Autoencoders, Artificial Intelligence, Deep Learning, Model Evaluation, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    966 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Visualization with Python

    Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Statistical Visualization, Interactive Data Visualization, Plot (Graphics), Plotly, Matplotlib, Data Presentation, Dashboard, Seaborn, Tableau Software, Scatter Plots, Heat Maps, Histogram, Google Sheets, Data Analysis, Python Programming, Cloud Applications, Business Communication

    4.2
    Rating, 4.2 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    A

    Atlassian

    Version Control with Git

    Skills you'll gain: Git (Version Control System), Version Control, GitHub, Bitbucket, Software Versioning, Software Configuration Management, Command-Line Interface, Code Review

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data Pipelines with TensorFlow Data Services

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Preprocessing, Data Processing, MLOps (Machine Learning Operations), Transfer Learning, Data Transformation, Data Sharing, Model Evaluation, Data Management, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    534 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Politecnico di Milano

    FPGA computing systems: Background knowledge and introductory materials

    Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Application Specific Integrated Circuits, Technical Design, Systems Design, Computer Architecture, Hardware Architecture, Electronic Hardware, Distributed Computing, System Configuration, Cloud Computing Architecture, Computer-Aided Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    247 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Automatic Data Processing, Inc. (ADP)

    Benefits: Health, Wellness, Work & Lifestyle

    Skills you'll gain: Benefits Administration, Compensation and Benefits, Human Resource Policies, Human Resource Strategy, Human Resources, Employee Assistance Programs, Communication Planning, Health Care, Program Evaluation, Insurance, Diversity and Inclusion, Dental Care

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    875 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Analysis with Tidyverse

    Skills you'll gain: Tidyverse (R Package), Data Import/Export, R Programming, Data Manipulation, Data Analysis, Ggplot2, Relational Databases, Data Transformation, Data Cleansing, Data Structures, Programming Principles

    4.1
    Rating, 4.1 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Engineering with Rust

    Skills you'll gain: Data Pipelines, Rust (Programming Language), Restful API, Amazon Web Services, Cloud API, Data Structures, Data Processing, Application Programming Interface (API), Cloud Applications, Real Time Data, Data Manipulation, System Programming, Cryptography, Encryption, Python Programming, Command-Line Interface, Software Testing

    3.5
    Rating, 3.5 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Data Management with SQL

    Skills you'll gain: SQL, Database Management, Database Design, Relational Databases, Databases, Query Languages, Performance Tuning, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Introduction to Data Science Techniques

    Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Model Evaluation, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Data Cleansing, Analytics, Regression Analysis, R Programming, Statistical Software, Forecasting, Data Preprocessing, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular foundational knowledge needed to work with dark data courses

  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Data Visualization with Python: Duke University
  • Version Control with Git: Atlassian
  • Data Pipelines with TensorFlow Data Services: DeepLearning.AI
  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • FPGA computing systems: Background knowledge and introductory materials: Politecnico di Milano
  • Benefits: Health, Wellness, Work & Lifestyle: Automatic Data Processing, Inc. (ADP)
  • Generative AI Engineering with LLMs: IBM
  • Data Analysis with Tidyverse: University of Colorado Boulder
  • Data Engineering with Rust: Duke University

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