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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


  • U

    University of California, Irvine

    Salesforce Reporting

    Skills you'll gain: Salesforce, Data Security, Customer Relationship Management (CRM) Software, Customer Engagement, Role-Based Access Control (RBAC), Customer Service, Data Maintenance, Business Reporting, Data Management, Workflow Management, Data Integrity, Process Design, Lead Generation, Business Process Automation, Cloud Computing, Automation, Employee Engagement

    4.6
    Rating, 4.6 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Introduction to Web Development

    Skills you'll gain: Cascading Style Sheets (CSS), GitHub, HTML and CSS, Git (Version Control System), Microsoft Copilot, Web Development, Web Content Accessibility Guidelines, Responsive Web Design, Hypertext Markup Language (HTML), Javascript, Web Design, Front-End Web Development, JSON, Semantic Web

    4.1
    Rating, 4.1 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 3 Months

  • L

    LearnQuest

    Teradata: Improving Analysis and Storage

    Skills you'll gain: Teradata SQL, SQL, Data Store, Database Design, Database Management, Relational Databases, Query Languages, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning for Absolute Beginners - Level 1

    Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Data Ethics, Machine Learning, Applied Machine Learning, Artificial Intelligence, Supervised Learning, Predictive Modeling, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Reinforcement Learning

    Beginner · Course · 1 - 3 Months

  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 2: Filtering

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Electrical and Computer Engineering, Telecommunications, Electronics, Engineering Analysis, Numerical Analysis, Data Mapping, Real Time Data, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    197 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: AI Enablement, Model Evaluation, Performance Metric, Artificial Intelligence and Machine Learning (AI/ML), Strategic Leadership, Responsible AI, Machine Learning Algorithms, Data Quality, Model Deployment, Algorithms, Data Validation, Random Forest Algorithm, Resource Utilization, System Requirements, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Marketing Analysis and KPIs

    Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Market Analysis, Competitive Analysis, Marketing, Key Performance Indicators (KPIs), Market Research, Target Audience, Target Market, Dashboard, Return On Investment, Value Propositions, Smart Goals, Business Strategy, Cross-Channel Marketing, Concision, Variance Analysis, Strategic Partnership, Data Collection, Strategic Decision-Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    83 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment

    Beginner · Course · 1 - 3 Months

  • M

    Microsoft

    The Microsoft 365 Ecosystem

    Skills you'll gain: Microsoft 365, Microsoft Office, Collaborative Software, Microsoft Teams, Productivity Software, Endpoint Security, Microsoft Windows, Automation, Microsoft Outlook, Data Loss Prevention, Data Security, Microsoft Word, Microsoft PowerPoint, Microsoft Excel

    4.6
    Rating, 4.6 out of 5 stars
    ·
    136 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 3

    Skills you'll gain: Large Language Modeling, Model Deployment, Transfer Learning, Generative Model Architectures, Multimodal Prompts, Cloud Deployment, Vision Transformer (ViT), Model Evaluation, Reinforcement Learning, Image Analysis, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Create a Project Management Tracker using Google Sheets

    Skills you'll gain: Google Sheets, Collaborative Software, Productivity Software, Organizational Skills, Spreadsheet Software, Project Management Software, Project Coordination, Small Business Accounting, Data Management, Project Management, Business

    4.6
    Rating, 4.6 out of 5 stars
    ·
    294 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Azure DevOps, Artificial Intelligence and Machine Learning (AI/ML), Cloud Deployment, Data Pipelines, Data Preprocessing, CI/CD, Continuous Monitoring, Debugging, Identity and Access Management, Version Control, Data Storage, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Salesforce Reporting: University of California, Irvine
  • Introduction to Web Development: Microsoft
  • Teradata: Improving Analysis and Storage: LearnQuest
  • Machine Learning for Absolute Beginners - Level 1: Packt
  • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Marketing Analysis and KPIs: Coursera
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • The Microsoft 365 Ecosystem: Microsoft
  • Quick Start Guide to Large Language Models (LLMs): Unit 3: Pearson

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