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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
    E

    Edureka

    Python and Statistics Foundations

    Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Foundations of mining non-structured medical data

    Skills you'll gain: Data Mining, Medical Imaging, Image Analysis, Unstructured Data, Health Informatics, Big Data, Health Information Management and Medical Records, Text Mining, Data-Driven Decision-Making, Health Care, Data Ethics, Natural Language Processing, Medical Science and Research

    3.6
    Rating, 3.6 out of 5 stars
    ·
    26 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

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

    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Unlocking Business Insights through Storytelling with Data

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization, Data Visualization Software, Storytelling, Infographics, Data Literacy, Data Integrity, Data Analysis, Drive Engagement, Storyboarding, Microsoft Excel, Design Elements And Principles

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    From Raw to Ready: Data Preparation in Python

    Skills you'll gain: Data Integration, Data Import/Export, NumPy, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Transforming Exploratory Data Analysis with AI

    Skills you'll gain: Responsible AI, Generative AI, Artificial Intelligence, Exploratory Data Analysis, Data Cleansing, Data-Driven Decision-Making, Real Time Data, Data Analysis, AI Workflows, Data Processing, Pandas (Python Package), Automation, Data Validation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fred Hutchinson Cancer Center

    Best Practices for Ethical Data Handling

    Skills you'll gain: Data Ethics, Data Sharing, Personally Identifiable Information, Clinical Research Ethics, Institutional Review Board (IRB), Healthcare Ethics, Data Security, Data Governance, Information Privacy, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Health Information Management, Informed Consent, Encryption

    Beginner · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Foundations for Data Analytics Part 1

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Structures, Time Series Analysis and Forecasting, Pandas (Python Package), Unsupervised Learning, Data Analysis, Machine Learning Algorithms, Computational Thinking, Data Preprocessing, Data Cleansing, Data Visualization, Python Programming, Algorithms

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Data Visualization

    Skills you'll gain: Data Presentation, Graphic and Visual Design, Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Exploratory Data Analysis, Scatter Plots

    Intermediate · Course · 1 - 3 Months

1…789…834

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

  • Python and Statistics Foundations: Edureka
  • Foundations of mining non-structured medical data: 28DIGITAL
  • Data Engineering: Pipelines, ETL, Hadoop: Coursera
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Unlocking Business Insights through Storytelling with Data: Coursera
  • From Raw to Ready: Data Preparation in Python: Coursera
  • Transforming Exploratory Data Analysis with AI: Coursera
  • Best Practices for Ethical Data Handling: Fred Hutchinson Cancer Center
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Data Science Fundamentals Part 2: Unit 2: Pearson

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