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  • Creating Value And Working A Problem With Dark Data Concepts


Results for "creating value and working a problem with dark data concepts"


  • C

    Coursera

    Create Mapping Data Flows in Azure Data Factory

    Skills you'll gain: Microsoft Azure, Data Transformation, Data Pipelines, Data Flow Diagrams (DFDs), Extract, Transform, Load, Dataflow, Data Storage Technologies, Data Integration, Data Storage

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Warehouse Engineer

    Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Database Administration, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, IBM DB2, Data Visualization, Relational Databases, Dashboard

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Data Science

    Skills you'll gain: Data Ethics, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Business Analytics, Data Storytelling, Data Science, Communication, Stakeholder Communications, Workflow Management, Project Management, Machine Learning

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

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    Creating Infographics with GenAI for Marketing

    Skills you'll gain: Infographics, Data Visualization, Target Audience, Data Storytelling, Design Elements And Principles, Technical Communication, Content Creation, Generative AI, Process Mapping, Communication, ChatGPT

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to Data Engineering

    Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Scalability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    463 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Structured Approach to Problem Solving

    Skills you'll gain: Human Centered Design, Problem Solving, Critical Thinking, Analytical Skills, Data Science, Complex Problem Solving, Decision Making, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    152 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Creating Interactive Learning Videos with Edpuzzle

    Skills you'll gain: Education Software and Technology, Digital pedagogy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    184 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Process Data from Dirty to Clean

    Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Dimensionality Reduction, Network Architecture, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Data Presentation, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Business Analysis, Data Manipulation, Generative AI, Data Collection, Data Management, Marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Data Engineering: Pipelines, ETL, Hadoop

    Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Big Data, Data Warehousing, Strategic Decision-Making, Apache Spark, Data Integration, Data Processing, Data Management, Data Analysis, Scalability

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular creating value and working a problem with dark data concepts courses

  • Create Mapping Data Flows in Azure Data Factory: Coursera
  • IBM Data Warehouse Engineer: IBM
  • Foundations of Data Science: Google
  • Creating Infographics with GenAI for Marketing: Coursera
  • Introduction to Data Engineering: DeepLearning.AI
  • Structured Approach to Problem Solving: Fractal Analytics
  • Creating Interactive Learning Videos with Edpuzzle: Coursera
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Process Data from Dirty to Clean: Google
  • Generative AI: Foundations and Concepts: Northeastern University

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