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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 Colorado Boulder

    High-Performance and Parallel Computing

    Skills you'll gain: Hardware Architecture, Bash (Scripting Language), Distributed Computing, Scalability, Computer Systems, File I/O, Big Data, Operating Systems, File Systems, Scripting, Command-Line Interface, C and C++, Performance Tuning, Computer Programming Tools, Linux, Load Balancing, Programming Principles, Communication Systems, Linear Algebra

    3.8
    Rating, 3.8 out of 5 stars
    ·
    177 reviews

    Advanced · Specialization · 3 - 6 Months

  • C

    Coursera

    Google Bard for Beginners: Text Generation with Prompts

    Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Generative AI, LLM Application

    Beginner · Guided Project · Less Than 2 Hours

  • R

    Rice University

    Oral Communication for Engineering Leaders

    Skills you'll gain: Presentations, Technical Communication, Verbal Communication Skills, Public Speaking, Scientific Visualization, Persuasive Communication, Communication Strategies, Communication, Visualization (Computer Graphics)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    267 reviews

    Mixed · Course · 1 - 3 Months

  • U

    Università Bocconi

    A Scientific Approach to Innovation Management

    Skills you'll gain: Data Analysis, Innovation, Strategic Decision-Making, Statistical Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Big Data, Business Metrics, A/B Testing, Case Studies, Probability, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    87 reviews

    Mixed · Course · 1 - 3 Months

  • S

    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • T

    The Hong Kong University of Science and Technology

    FinTech Foundations and Overview

    Skills you'll gain: FinTech, Financial Services, Banking, Financial Regulation, Mobile Banking, Emerging Technologies, Technology Strategies, Payment Systems, Blockchain, Business Technologies, Consumer Lending, Entrepreneurship, Big Data, Market Trend, Innovation, Strategic Partnership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    587 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    IT Infrastructure and Emerging Trends

    Skills you'll gain: Cybersecurity, Cloud Computing, IT Management, Information Technology, Technology Solutions, Technology Strategies, IT Infrastructure, Data Security, Technical Management, Information Systems, Mobile Security, Emerging Technologies, Innovation, Blockchain, Wireless Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    511 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure

    Skills you'll gain: Cloud Infrastructure, Cloud Services, Cloud Computing, Cloud Storage, Cloud Platforms, Infrastructure As A Service (IaaS), Data Storage, Middleware, Containerization, Virtualization, Virtual Machines, Cloud Applications, Amazon S3, Platform As A Service (PaaS), Scalability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    GenAI for Customer Analytics and Insights with JUNE

    Skills you'll gain: AI Product Strategy, Product Improvement, Customer Insights, Customer Analysis, Generative AI, Marketing Analytics, Analytics, Management Reporting, Data Collection, Performance Metric, Data Integration

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft 365 with Generative AI

    Skills you'll gain: Prompt Engineering, Microsoft Copilot, Responsible AI, Presentations, Microsoft Excel, Microsoft Outlook, Data Presentation, Microsoft PowerPoint, Microsoft Teams, Data Storytelling, Predictive Modeling, Email Automation, Data Visualization Software, Data Synthesis, Spreadsheet Software, Microsoft Word, Excel Formulas, Collaborative Software, Microsoft 365, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    76 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • P

    Packt

    Langchain and Langgraph

    Skills you'll gain: LangChain, Prompt Engineering, LLM Application, LangGraph, OpenAI API, Generative AI Agents, Agentic systems, AI Workflows, Large Language Modeling, Hugging Face, OpenAI, ChatGPT, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Application Development, Program Development, Retrieval-Augmented Generation, Artificial Intelligence, Data Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    99 reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    EDUCBA

    SPSS: Apply & Interpret Logistic Regression Models

    Skills you'll gain: Logistic Regression, Model Evaluation

    5
    Rating, 5 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

1…381382383…834

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

  • High-Performance and Parallel Computing: University of Colorado Boulder
  • Google Bard for Beginners: Text Generation with Prompts: Coursera
  • Oral Communication for Engineering Leaders: Rice University
  • A Scientific Approach to Innovation Management: Università Bocconi
  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • FinTech Foundations and Overview: The Hong Kong University of Science and Technology
  • IT Infrastructure and Emerging Trends: University of Minnesota
  • Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure: University of Illinois Urbana-Champaign
  • GenAI for Customer Analytics and Insights with JUNE: Coursera
  • Microsoft 365 with Generative AI: Microsoft

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