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    Results for "data import/export"

    • Status: New
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      M

      Microsoft

      First Steps in R: Importing and Exporting Data

      Skills you'll gain: Data Import/Export, Microsoft Visual Studio, Microsoft Excel, R Programming, Data Sharing, Data Processing, Data Cleansing, File Management

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SkillUp

      Data Integration, Data Storage, & Data Migration

      Skills you'll gain: Data Migration, Cloud Storage, Data Management, Data Integration, Data Storage, Data Infrastructure, Data Architecture, Extract, Transform, Load, Data Security, Data Pipelines, Disaster Recovery

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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, Real Time Data, Data Cleansing, Big Data, Performance Tuning, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      424 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Excel Basics for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Data Visualization Software, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Manipulation and Cleaning in R

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Quality, Tidyverse (R Package), Data Transformation, R Programming, Text Mining, Data Validation, Generative AI, Data Integrity

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Extract, Transform, and Load in Power BI

      Skills you'll gain: Extract, Transform, Load, Power BI, Data Transformation, Data Cleansing, Query Languages, Data Manipulation, Data Integration, Data Validation, Data Import/Export, Data Quality, Data Analysis, Data Modeling, Anomaly Detection, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: New
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      C

      Coursera

      From Raw to Ready: Data Preparation in Python

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

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Manipulation and Transactions in SQL Server

      Skills you'll gain: Transaction Processing, Database Management, Microsoft SQL Servers, Operational Databases, SQL, Data Manipulation, Relational Databases, Data Integrity, Generative AI, Performance Tuning

      4.1
      Rating, 4.1 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Data Pipelines, Business Intelligence, Data Integrity, Data Validation, Performance Tuning, Data Mart, Data Management, Process Optimization, Data Quality, Data Transformation, Performance Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      666 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python Project for Data Engineering

      Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Restful API, Python Programming, Unit Testing, Style Guides

      4.6
      Rating, 4.6 out of 5 stars
      ·
      795 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Extract, Transform and Load Data in Power BI

      Skills you'll gain: Extract, Transform, Load, Power BI, Data Validation, Data Transformation, Data Cleansing, Data Storage, Data Quality, Data Analysis, Data Integration, Data Storage Technologies, Business Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      931 reviews

      Beginner · Course · 1 - 4 Weeks

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

      Whizlabs

      Power BI: Data Analytics and Data Preparation

      Skills you'll gain: Data Transformation, Power BI, Data-Driven Decision-Making, Data Integration, Data Cleansing, Data Manipulation, Data Modeling, Business Intelligence, Data Visualization Software, Data Quality, Data Import/Export, Data Analysis, Analytics

      Intermediate · Course · 1 - 4 Weeks

    Searches related to data import/export

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    In summary, here are 10 of our most popular data import/export courses

    • First Steps in R: Importing and Exporting Data: Microsoft
    • Data Integration, Data Storage, & Data Migration: SkillUp
    • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
    • Excel Basics for Data Analysis: IBM
    • Data Manipulation and Cleaning in R: Microsoft
    • Data Extract, Transform, and Load in Power BI: Microsoft
    • From Raw to Ready: Data Preparation in Python: Coursera
    • Data Manipulation and Transactions in SQL Server: Microsoft
    • The Path to Insights: Data Models and Pipelines: Google
    • Python Project for Data Engineering: IBM

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