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  • Foundational Knowledge Needed To Work With Dark Data

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


  • C

    Coursera

    Master Data Analysis with Pandas: Learning Path 1 (Enhanced)

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Data Analysis, NumPy, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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

  • C

    Coursera

    Getting Started in Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.5K reviews

    Beginner · 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

  • G

    Google Cloud

    Use Data Canvas to Visualize and Design Queries

    Skills you'll gain: Data Presentation, Data Visualization Software, Query Languages, Data Integration, Data Analysis

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Redacting Sensitive Data with the DLP API

    Skills you'll gain: Data Security, Google Cloud Platform, Cloud Computing, Data Loss Prevention, Personally Identifiable Information, Cloud API, Unstructured Data, Node.JS

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Coding and Automation for Data Analysis with Generative AI

    Skills you'll gain: Prompt Engineering, Excel Formulas, Generative AI, Data Pipelines, Data Ethics, Data Processing, Debugging, Microsoft Excel, Automation, Artificial Intelligence, Data Analysis, SQL, Integrated Development Environments

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Mastering Data Analysis with Pandas: Learning Path Part 3

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Integration, Python Programming, Data Transformation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    M

    McMaster University

    Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential

    Skills you'll gain: Lifelong Learning, Willingness To Learn, Learning Strategies, Growth Mindedness, Mentorship, Adaptability, Professional Development, Personal Development, Productivity, Open Mindset, Resilience, Stress Management, Overcoming Obstacles, Curiosity, Cognitive flexibility

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data and Business Process Modeling with Microsoft Visio

    Skills you'll gain: Process Flow Diagrams, Business Process Modeling, Data Modeling, Microsoft Visio, Business Process, Business Analysis, Process Mapping, Dataflow

    4.4
    Rating, 4.4 out of 5 stars
    ·
    124 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Master Data Analysis with Pandas: Learning Path 1 (Enhanced): Coursera
  • Master Python with Real-World Data & Web Projects: Packt
  • Getting Started in Google Analytics: 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
  • Data Analytics in the Public Sector with R: University of Michigan
  • Use Data Canvas to Visualize and Design Queries: Google Cloud
  • Redacting Sensitive Data with the DLP API: Google Cloud
  • Coding and Automation for Data Analysis with Generative AI: Microsoft
  • Mastering Data Analysis with Pandas: Learning Path Part 3: Coursera

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