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Results for "collect data from files"


  • Status: Free Trial
    Free Trial
    S

    SAS

    Analyzing Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Feature Engineering, Statistical Analysis, Data Analysis, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Bayesian Statistics, Automation, Anomaly Detection, Data Processing, Dimensionality Reduction

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure Data Storage Solutions

    Skills you'll gain: Microsoft Azure, Azure Synapse Analytics, Data Integration, Cloud Storage, Data Lakes, Data Pipelines, Data Storage, Databricks, Microsoft SQL Servers, NoSQL, .NET Framework, Data Security, Real Time Data, Encryption, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Joining Data in R using dplyr

    Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Tidyverse (R Package), Data Transformation, Data Management

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of California, Davis

    Hands-on Data Centric Visual AI

    Skills you'll gain: Data Quality, Data Cleansing, Computer Vision, Visualization (Computer Graphics), Data Validation, Deep Learning, Image Analysis, Feature Engineering, Data Manipulation, Exploratory Data Analysis, Applied Machine Learning, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Pandas (Python Package), Data Manipulation, Scatter Plots, Jupyter, Data Visualization Software, Machine Learning, Data Science, Data Import/Export, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Elevate Your Data Science Career

    Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, Prompt Engineering, Responsible AI, Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    247 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Advanced Data Structures in Java

    Skills you'll gain: Graph Theory, Data Structures, Java Programming, Java, Object Oriented Design, Software Design, Algorithms, Object Oriented Programming (OOP), Network Routing, Computational Thinking, Application Development, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to R Programming for Data Science

    Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

    4.5
    Rating, 4.5 out of 5 stars
    ·
    588 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Transformation in the Cloud

    Skills you'll gain: Data Pipelines, Data Cleansing, Data Governance, Data Transformation, Cloud Security, Data Visualization, Extract, Transform, Load, Data Integration, Data Processing, Data Management, Data Migration, Data Collection, Cloud Computing, Cloud Storage, Data Analysis, SQL

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Redacting Confidential Data within your Pipelines in Cloud Data Fusion

    Skills you'll gain: Data Loss Prevention, Personally Identifiable Information, Data Pipelines, Cloud-Based Integration, Cloud Storage, Data Security, Data Integration, Data Management, Data Transformation, Cloud Management, DevOps

    Advanced · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Assessment for Data Analysis and Visualization Foundations

    Skills you'll gain: Microsoft Excel, Analytical Skills, Spreadsheet Software, Dashboard, Data Analysis, IBM Cognos Analytics, Pivot Tables And Charts, Data Visualization, Data Presentation, Exploratory Data Analysis, Data Visualization Software, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    325 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular collect data from files courses

  • Analyzing Time Series and Sequential Data: SAS
  • Azure Data Storage Solutions : Whizlabs
  • Joining Data in R using dplyr: Coursera
  • Statistics and Data Analysis with R: University of Colorado Boulder
  • Hands-on Data Centric Visual AI: University of California, Davis
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Generative AI: Elevate Your Data Science Career: IBM
  • Advanced Data Structures in Java: University of California San Diego
  • Introduction to R Programming for Data Science: IBM
  • Data Transformation in the Cloud: Google Cloud

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