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  • Data Storage Fundamentals

Results for "data storage fundamentals"


  • Status: Preview
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    S

    SAS

    Four Rare Machine Learning Skills All Data Scientists Need

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Advanced · 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, Diagram Design, Business Process, Business Analysis, Data Flow Diagrams (DFDs)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    128 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    106 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Data Management for Analytics Part 2

    Skills you'll gain: Data Governance, Database Management, Database Systems, Databases, NoSQL, SQL, MongoDB, Relational Databases, Big Data, Graph Theory, Data Storage, Apache Hadoop, Data Manipulation

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Docker - Data Persistence and Orchestration

    Skills you'll gain: Docker (Software), Web Applications, Containerization, Virtual Networking, CI/CD, YAML, Service Management, Capacity Management, Command-Line Interface

    Intermediate · Course · 1 - 3 Months

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

    Packt

    Big Data Foundations with Hadoop and Spark

    Skills you'll gain: Apache Kafka, Apache Hadoop, Apache Spark, Real Time Data, Scala Programming, Data Integration, Command-Line Interface, Apache Hive, Big Data, Applied Machine Learning, Data Processing, Apache, System Design and Implementation, Apache Cassandra, Data Pipelines, Java, Distributed Computing, IntelliJ IDEA, Application Deployment, Enterprise Application Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    ETL and Data Pipelines with Shell, Airflow and Kafka

    Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Data Mart, Unix Shell, Big Data, Performance Tuning, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    445 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Clean Data in SQL using MySQL Workbench

    Skills you'll gain: MySQL, MySQL Workbench, SQL, Data Cleansing, Query Languages, Data Manipulation, Database Management, Databases, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    30 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Creating a Data Warehouse Through Joins and Unions

    Skills you'll gain: Data Warehousing, Data Integration, Database Administration, SQL, Relational Databases, Data Analysis, Exploratory Data Analysis, Google Analytics

    4
    Rating, 4 out of 5 stars
    ·
    8 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    Q

    Queen Mary University of London

    Cloud Computing Law: Data Protection and Cybersecurity

    Skills you'll gain: General Data Protection Regulation (GDPR), Law, Regulation, and Compliance, Cloud Security, Personally Identifiable Information, Data Security, Information Privacy, Cybersecurity, Cloud Services, Cloud Computing, Data Governance, Regulatory Requirements, Risk Management Framework

    4.9
    Rating, 4.9 out of 5 stars
    ·
    75 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Creating a Data Transformation Pipeline with Cloud Dataprep

    Skills you'll gain: Data Manipulation, Data Pipelines, Data Transformation, Data Quality, Data Cleansing, Data Preprocessing, Data Import/Export, Extract, Transform, Load, Exploratory Data Analysis, Big Data, Google Analytics

    Intermediate · Project · Less Than 2 Hours

Searches related to data storage fundamentals

data storage fundamentals with ibm storage scale
1…157158159…834

In summary, here are 10 of our most popular data storage fundamentals courses

  • Four Rare Machine Learning Skills All Data Scientists Need: SAS
  • Data and Business Process Modeling with Microsoft Visio: Microsoft
  • Machine Learning, Data Science and Generative AI with Python: Packt
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Data Management for Analytics Part 2: Northeastern University
  • Advanced Docker - Data Persistence and Orchestration: Packt
  • Big Data Foundations with Hadoop and Spark: Packt
  • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
  • Clean Data in SQL using MySQL Workbench: Coursera
  • Creating a Data Warehouse Through Joins and Unions: Google Cloud

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