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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
    G

    Google Cloud

    Serverless Data Processing with Dataflow: Operations en Español

    Skills you'll gain: Dataflow, Data Pipelines, Performance Tuning, Data Integrity, Maintainability, Debugging, System Monitoring, Data Processing, CI/CD, Unit Testing, Google Cloud Platform, Disaster Recovery

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

    Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data I/O and Preprocessing with Python and SQL

    Skills you'll gain: Web Scraping, Extract, Transform, Load, Data Manipulation, Data Validation, Data Processing, Data Ethics, Data Import/Export, Data Cleansing, SQL, Data Transformation, JSON, Pandas (Python Package), Generative AI, Relational Databases, Data Integrity, Unstructured Data, Application Programming Interface (API), Text Mining

    5
    Rating, 5 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Analysis, R Programming, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Beginner · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - Español

    Skills you'll gain: Metadata Management, Data Pipelines, Data Processing, Google Cloud Platform, Data Migration, Cloud Storage, Apache Airflow, Data Lakes, Data Storage, Big Data, Data Infrastructure, Extract, Transform, Load, Apache Spark, IT Automation, Data Management, Data Transformation, Serverless Computing, SQL

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Introduction to Financial Engineering and Risk Management

    Skills you'll gain: Financial Market, Securities (Finance), Derivatives, Financial Systems, Actuarial Science, Mathematical Modeling, Applied Mathematics, Financial Trading, Capital Markets, Financial Services, Securities Trading, Futures Exchange, Equities, Finance, Financial Modeling, Market Liquidity, Risk Modeling, Probability, Risk Management, Portfolio Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    307 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Ingesting HL7v2 Data with the Healthcare API

    Skills you'll gain: Google Cloud Platform, Data Store, Cloud API, Health Information Management, Health Informatics, Application Programming Interface (API), Health Care, Cloud-Based Integration, Cloud Computing, Health Technology

    Beginner · Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Scrape and analyze data analyst job requirements with Python

    Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter

    3.3
    Rating, 3.3 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

    Coursera

    SQL for Data Science (and Version Control with GitHub)

    Skills you'll gain: SQL, Database Design, Database Management, Data Analysis, Database Architecture and Administration, Relational Databases, Data Cleansing, Data Transformation, Data Manipulation, Query Languages, Analytics, GitHub, Git (Version Control System), Performance Tuning, Data Integrity

    4.3
    Rating, 4.3 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    Icahn School of Medicine at Mount Sinai

    Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

    Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Integration, Unsupervised Learning, Molecular Biology, Data Analysis, Metadata Management, Cell Biology, Application Programming Interface (API), Restful API

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Analytics in the Public Sector with R

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Plot (Graphics), Statistical Analysis, Data Presentation, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, R (Software), Data Analysis, Tidyverse (R Package), Statistical Visualization, R Programming, Statistical Methods, Public Policies, Data Visualization Software, Analytical Skills, Case Studies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    90 reviews

    Intermediate · Specialization · 3 - 6 Months

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

    Packt

    Master Python with Real-World Data & Web Projects

    Skills you'll gain: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Interactive Data Visualization, Python Programming, Geospatial Mapping, Data Import/Export, Scripting, File Management, Scripting Languages, Data Structures, Development Environment, Computer Programming Tools, Integrated Development Environments, Computer Programming, Software Installation

    Beginner · 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

  • Serverless Data Processing with Dataflow: Operations en Español: Google Cloud
  • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
  • Data I/O and Preprocessing with Python and SQL: DeepLearning.AI
  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
  • Introduction to Data Engineering on Google Cloud - Español: Google Cloud
  • Introduction to Financial Engineering and Risk Management: Columbia University
  • Ingesting HL7v2 Data with the Healthcare API: Google Cloud
  • Scrape and analyze data analyst job requirements with Python: Coursera
  • SQL for Data Science (and Version Control with GitHub): Coursera
  • Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai

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