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  • Data Manipulation

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


  • C

    Coursera

    Building a Hiring Plan by Analyzing Past Data in Sheets

    Skills you'll gain: People Analytics, Workforce Planning, Job Analysis, Human Resource Strategy, Talent Sourcing, Human Resources Management and Planning, Human Resources, Workforce Management, Google Sheets, Talent Recruitment, Consolidation, Talent Acquisition, Compensation Analysis, Full Cycle Recruitment, Recruitment Strategies, Recruitment, Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    S

    SkillUp

    Prep for Microsoft Azure Data Engineer Associate Cert DP-203

    Skills you'll gain: Azure Synapse Analytics, Data Security, Databricks, Data Store, Data Quality, Microsoft Azure, Data Storage, Security Controls, Data Transformation, Data Processing, Data Cleansing, Performance Tuning, Data Integration, Data Pipelines, Apache Spark, Encryption, Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Process Map Data using C++ Adjacency List Shortest Path

    Skills you'll gain: Graph Theory, C++ (Programming Language), C and C++, Network Routing, Data Structures, Object Oriented Programming (OOP), File I/O, Algorithms

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    De-identifying DICOM Data with the Healthcare API

    Skills you'll gain: Cloud API, Google Cloud Platform, Data Store, Medical Privacy, Application Programming Interface (API), Health Informatics, Health Information Management and Medical Records, Health Information Management, Health Technology, Data Import/Export, Cloud Computing, Data Security, Medical Imaging

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Prepare for DP-100: Data Science on Microsoft Azure Exam

    Skills you'll gain: Databricks, Model Deployment, Responsible AI, Model Training, Microsoft Azure, Data Science, Applied Machine Learning, Data Integration, MLOps (Machine Learning Operations), Predictive Modeling, Model Evaluation, Machine Learning Methods, Machine Learning, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    80 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Analytics as a Service for Data Sharing Partners

    Skills you'll gain: Dashboard Creation, Dashboard, Data Sharing, Cloud Computing, Cloud Platforms, Big Data, Data Access, Google Cloud Platform, Data Visualization, Data Management

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Google Cloud

    Prepárate para convertirte en Professional Data Engineer

    Skills you'll gain: Cloud Engineering, Data Warehousing, Data Pipelines, Data Architecture, Google Cloud Platform, Data Processing, Data Infrastructure, Systems Design, Data Maintenance, Data Storage, Cloud Management, Data Transformation, Data Analysis, Cloud Storage, Data Security

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版

    Skills you'll gain: Google Cloud Platform, Data Pipelines, Dataflow, Data Lakes, Model Deployment, Apache Kafka, Data Governance, Tensorflow, Data Warehousing, MLOps (Machine Learning Operations), Data Infrastructure, Data Architecture, Extract, Transform, Load, Unstructured Data, Real Time Data, Data Processing, Data Quality, Apache Spark, Data Management, Big Data

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Persistent Data, Monitoring & Cost Optimization in AKS

    Skills you'll gain: Role-Based Access Control (RBAC), Cloud Management, Continuous Deployment, Application Lifecycle Management, Capacity Management, Software Versioning, Virtual Networking, API Gateway, Identity and Access Management, Model Deployment, Security Controls, Large Language Modeling

    Intermediate · Course · 3 - 6 Months

  • G

    Google Cloud

    Einführung in Data Engineering in Google Cloud

    Skills you'll gain: Data Pipelines, Google Cloud Platform, Extract, Transform, Load, Data Infrastructure, Data Processing, Apache Airflow, Cloud Storage, Data Integration, Data Migration, Data Lakes, Big Data, Data Import/Export, Data Storage, Data Storage Technologies, Data Transformation, Data Sharing, Command-Line Interface, Automation, Serverless Computing

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Git, Docker & CI/CD: DevOps Foundations for Data Engineers

    Skills you'll gain: Ansible, Infrastructure as Code (IaC), Configuration Management, Correlation Analysis, CI/CD, Docker (Software), GitHub, Data Strategy, Collaborative Software, Git (Version Control System), Containerization, Cloud Infrastructure, Data Security, Data Pipelines, Version Control, Continuous Deployment, Continuous Integration, Devops Tools, Kubernetes, Scalability

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Cloud Fundamentals: Core Infrastructure

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Kubernetes, Prompt Engineering Tools, Containerization, Infrastructure As A Service (IaaS), Prompt Patterns, Cloud Platforms, Cloud Storage, Cloud Services, Identity and Access Management, Application Deployment, Virtual Machines, Cloud-Native Computing, Virtual Networking, Cloud Computing, Cloud Management, Application Development, Cloud Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49K reviews

    Beginner · Course · 1 - 3 Months

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

  • Building a Hiring Plan by Analyzing Past Data in Sheets: Coursera
  • Prep for Microsoft Azure Data Engineer Associate Cert DP-203: SkillUp
  • Process Map Data using C++ Adjacency List Shortest Path: Coursera
  • De-identifying DICOM Data with the Healthcare API: Google Cloud
  • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft
  • Analytics as a Service for Data Sharing Partners: Google Cloud
  • Prepárate para convertirte en Professional Data Engineer: Google Cloud
  • Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版: Google Cloud
  • Persistent Data, Monitoring & Cost Optimization in AKS: Packt
  • Einführung in Data Engineering in Google Cloud: Google Cloud

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