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Data Manipulation Courses

Data manipulation courses can help you learn data cleaning, transformation techniques, and exploratory data analysis. You can build skills in using functions for data aggregation, filtering datasets, and visualizing information effectively. Many courses introduce tools like Python, R, and SQL, that support handling large datasets and performing complex analyses. You'll also explore libraries such as Pandas and NumPy, which streamline data manipulation tasks and enhance your ability to derive insights from raw data.


Popular Data Manipulation Courses and Certifications


  • B

    Board Infinity

    Fundamentals of VMware Data Center Virtualization Concepts

    Skills you'll gain: Software-Defined Data Center (SDDC), VMware vSAN, Virtualization, Data Centers, NSX-T Network Virtualization, VMware ESX Servers, Virtualization and Virtual Machines, vSphere Networking and Storage, vCenter Server, Virtual Machines, IT Infrastructure, Network Infrastructure, Servers, Hybrid Cloud Computing, Scalability

    Beginner · Course · 1 - 4 Weeks

  • L

    LearnKartS

    AWS Databases & Compute for Data Engineers

    Skills you'll gain: Serverless Computing, Containerization, Amazon Web Services, Data Migration, Amazon DynamoDB, Docker (Software), Databases, Cloud Engineering, Kubernetes, AWS Identity and Access Management (IAM), Operational Databases, Amazon Elastic Compute Cloud, Database Management, Performance Tuning, Amazon CloudWatch, Cloud Security, Identity and Access Management, Application Programming Interface (API), Data Security, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Serverless Data Processing with Dataflow: Operations en Español

    Skills you'll gain: Dataflow, Data Pipelines, Debugging, Google Cloud Platform, System Monitoring, Data Integrity, CI/CD, Data Processing, Unit Testing, Performance Tuning, Disaster Recovery

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Perform basic data analysis tasks using Java streams

    Skills you'll gain: Data Import/Export, Data Analysis, Exploratory Data Analysis, Java, Data Processing, Data Manipulation, Java Programming, Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Real-Time, Real Fast: Kafka & Spark for Data Engineers

    Skills you'll gain: Apache Kafka, Data Transformation, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, Power BI, PySpark, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Scalability, Data Processing, Data Governance, Event-Driven Programming, System Monitoring, Docker (Software)

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Integral Calculus and Numerical Analysis for Data Science

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    109 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Data Management for Analytics Part 1

    Skills you'll gain: Database Design, Database Theory, Data Modeling, Database Management Systems, Metadata Management, Databases, Data Management, Relational Databases, Unified Modeling Language, Data Governance, Enterprise Modeling, Data Integrity, Data Quality

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • D

    Duke University

    Designing Larger Python Programs for Data Science

    Skills you'll gain: Python Programming, Simulations, Debugging, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Software Design, Computational Thinking, Integration Testing, Computer Programming, Object Oriented Programming (OOP), Data Manipulation, Software Development

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Python Mastery: Core Concepts, Data Structures & OOP

    Skills you'll gain: File I/O, Object Oriented Programming (OOP), Object Oriented Design, Python Programming, Programming Principles, Data Dictionary, Computer Programming, Data Structures, Debugging, Computational Logic, Command-Line Interface, Data Cleansing, Software Design Patterns, Functional Design, Scripting, Operating Systems, Pseudocode, Development Environment, File Management, Computational Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    58 reviews

    Beginner · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Master Advanced Excel Functions to Analyze & Automate Data

    Skills you'll gain: Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Spreadsheet Software, Data Analysis Expressions (DAX), Financial Forecasting, Financial Modeling, Financial Analysis, Business Analysis, Data-Driven Decision-Making, Data Manipulation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    PowerPoint Data Viz – Business Charting Techniques

    Skills you'll gain: Data Visualization, Microsoft PowerPoint, Data Storytelling, Microsoft Excel, Trend Analysis

    Intermediate · Course · 3 - 6 Months

  • 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

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1…134135136…834

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

  • Fundamentals of VMware Data Center Virtualization Concepts: Board Infinity
  • AWS Databases & Compute for Data Engineers: LearnKartS
  • Serverless Data Processing with Dataflow: Operations en Español: Google Cloud
  • Perform basic data analysis tasks using Java streams: Coursera
  • Real-Time, Real Fast: Kafka & Spark for Data Engineers: Coursera
  • Integral Calculus and Numerical Analysis for Data Science: University of Colorado Boulder
  • Data Management for Analytics Part 1: Northeastern University
  • Designing Larger Python Programs for Data Science: Duke University
  • Python Mastery: Core Concepts, Data Structures & OOP: EDUCBA
  • Master Advanced Excel Functions to Analyze & Automate Data: EDUCBA

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