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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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    D

    Duke University

    Mastering Data Analysis in Excel

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Microsoft Excel, Classification Algorithms, Data-Driven Decision-Making, Business Analytics, Data Analysis, Model Evaluation, Business Risk Management, Financial Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    3.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    L

    LearnQuest

    Fundamentals of Big Data

    Skills you'll gain: Big Data, Analytics, Data Processing, Data Analysis, Data Strategy, Data Storage, Data Management, Data Infrastructure, Unstructured Data, Real Time Data

    3.9
    Rating, 3.9 out of 5 stars
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    30 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    734 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    E

    ESSEC Business School

    Foundations of strategic business analytics

    Skills you'll gain: Business Analytics, Forecasting, Statistical Methods, Data Presentation, Predictive Analytics, R Programming, Information Technology, Statistical Analysis, Communication, Business, Business Intelligence, Strategic Thinking, Data Analysis, Data Visualization, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    661 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Value Creation with Dark Data

    Skills you'll gain: Data Transformation, Engineering Management, Data-Driven Decision-Making, Data Storytelling, Data Integration, Capacity Management, Data Analysis, Unstructured Data, Data Management, Business Intelligence, Data Governance, Management Reporting

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification Algorithms, Machine Learning, Supervised Learning, Data Processing, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    L

    LearnQuest

    Fundamentals of Data Analysis

    Skills you'll gain: Data Analysis, Analytics, Statistical Analysis, Data Mining, Spreadsheet Software, Exploratory Data Analysis, Descriptive Analytics, Quantitative Research, Data Processing, Data Cleansing, Data Collection, Statistics, R (Software), Predictive Analytics, Query Languages, Data Visualization, Data Visualization Software, SQL

    3.7
    Rating, 3.7 out of 5 stars
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    32 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Essential Concepts of Vector Databases

    Skills you'll gain: Vector Databases, Large Language Modeling, LangChain, Embeddings, NoSQL, Database Systems, Databases, OpenAI API, Data Management, Development Environment, Unstructured Data, Real Time Data, Scalability, Data Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Data Visualization and Transformation with R

    Skills you'll gain: Exploratory Data Analysis, Ggplot2, Data Visualization Software, Tidyverse (R Package), Data Visualization, Version Control, Data Analysis, Statistical Methods, Data Wrangling, R Programming, GitHub, Data Transformation, Statistical Analysis, Git (Version Control System), Data Manipulation, Statistical Programming

    4.8
    Rating, 4.8 out of 5 stars
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    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    Coursera

    Data Privacy and Protection Standards

    Skills you'll gain: Information Privacy, General Data Protection Regulation (GDPR), Personally Identifiable Information, Data Security, Data Governance, Data Ethics, Data Loss Prevention, Security Controls, Regulatory Compliance, Compliance Management, Compliance Training, Data Integrity, Security Strategy, Regulatory Requirements, Incident Response

    4.8
    Rating, 4.8 out of 5 stars
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    35 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Go Beyond the Numbers: Translate Data into Insights

    Skills you'll gain: Data Storytelling, Data Visualization, Exploratory Data Analysis, Data Visualization Software, Data Manipulation, Data Ethics, Tableau Software, Data Analysis, Pandas (Python Package), Data Cleansing, Data Preprocessing, Data Validation, Technical Communication, Data Transformation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    890 reviews

    Advanced · 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

  • Mastering Data Analysis in Excel: Duke University
  • Fundamentals of Big Data: LearnQuest
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Foundations of strategic business analytics: ESSEC Business School
  • Value Creation with Dark Data: Arizona State University
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Fundamentals of Data Analysis: LearnQuest
  • Essential Concepts of Vector Databases: Packt
  • Data Visualization and Transformation with R: Duke University
  • Data Privacy and Protection Standards: Coursera

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