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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
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    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, Regression Analysis, NumPy, Calculus, Applied Mathematics, Probability & Statistics, Artificial Neural Networks, Data Preprocessing, Statistical Analysis, Unsupervised Learning, Advanced Mathematics, Jupyter, Statistics, Machine Learning Algorithms, Algorithms, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Storage in Microsoft Azure for Associate Developers

    Skills you'll gain: Cloud Storage, Data Storage, Microsoft Azure, Data Storage Technologies, Cloud Applications, Data Architecture, Cloud Security, Data Management, Data Security, Application Development, Role-Based Access Control (RBAC), Analytics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    C

    Coursera

    Build an AI-Powered App with Claude

    Skills you'll gain: Prompt Engineering, Anthropic Claude, Generative AI, Artificial Intelligence, Application Development, Application Programming Interface (API), Authentications, Context Management, User Interface and User Experience (UI/UX) Design, Content Creation, Customer Service

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Talend Data Integration: Build & Automate Workflows

    Skills you'll gain: Extract, Transform, Load, Data Integration, Databases, Data Warehousing, Data Import/Export, Data Migration, Data Manipulation, Data Mapping, Software Installation, Data Transformation, Version Control

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptography, Computational Logic, Cryptographic Protocols, Combinatorics, Computational Thinking, Probability, Deductive Reasoning, Encryption, Public Key Cryptography Standards (PKCS), Arithmetic, Network Analysis, Algorithms, Theoretical Computer Science, Applied Mathematics, Data Structures, Mathematical Modeling, Computer Programming, Cybersecurity

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Introduction to Teaching English Learners

    Skills you'll gain: Differentiated Instruction, Diversity Awareness, Web Content Accessibility Guidelines, digital literacy, Instructional Strategies, Culture, Education Software and Technology, Special Education, Cultural Responsiveness, Intercultural Competence, Cultural Diversity, Teaching, Instructing, Curriculum Planning, English Language, Learning Management Systems, Lifelong Learning, Student Engagement, Lesson Planning, Language Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    53 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Data Science & Machine Learning Fundamentals

    Skills you'll gain: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Exploratory Data Analysis, Data Preprocessing, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Introduction to Email Marketing

    Skills you'll gain: Business Marketing

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Data Structures in JavaScript

    Skills you'll gain: JSON, Data Structures, Javascript, Application Programming Interface (API), Computer Programming, Object Oriented Programming (OOP), Debugging

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Deep Learning with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    Tsinghua University

    Data Structures and Algorithms (III)

    Skills you'll gain: Data Structures, Database Design, Query Languages, Algorithms, Computer Programming

    Intermediate · Course · 1 - 3 Months

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

  • Mathematics for Machine Learning: Imperial College London
  • Data Storage in Microsoft Azure for Associate Developers: Microsoft
  • Build an AI-Powered App with Claude: Coursera
  • Talend Data Integration: Build & Automate Workflows: EDUCBA
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Build Robust Java ML Models with Entropy: Coursera
  • Introduction to Teaching English Learners: Rice University
  • Data Science & Machine Learning Fundamentals: Corporate Finance Institute
  • Introduction to Email Marketing: Google
  • Data Structures in JavaScript: Packt

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